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2020 – today
- 2026
[j109]Kaike Zhang
, Qi Cao, Fei Sun, Yunfan Wu, Shuchang Tao, Huawei Shen, Xueqi Cheng:
Robust Recommender System: A Survey and Future Directions. ACM Comput. Surv. 58(1): 10:1-10:38 (2026)- [j108]Chenhao Li, Lin Li, Zhibin Zhang, Qiang Qiu, Jiafeng Guo, Xueqi Cheng:
Improving post-training structured pruning via two-stage reconstruction. Expert Syst. Appl. 296: 128930 (2026) - 2025
- [j107]Mahammad Humayoo, Gengzhong Zheng, Xiaoqing Dong, Wei Huang, Liming Miao, Shuwei Qiu, Zexun Zhou, Peitao Wang, Zakir Ullah, Naveed Ur Rehman Junejo, Xueqi Cheng:
Segmenting Action-Value Functions over Time Scales in SARSA via TD(Δ). Algorithms 18(11): 729 (2025) - [j106]Yuhan Wang, Xiang Zhao, Zhen Tan, Weidong Xiao, Xueqi Cheng:
Temporal knowledge graph diffusion model for open-world reasoning. Sci. China Inf. Sci. 68(10) (2025) - [j105]Shiqi Sun, Kun Zhang, Jingyuan Li, Min Yu, Kun Hou, Yuanzhuo Wang, Xueqi Cheng:
Retriever-generator-verification: A novel approach to enhancing factual coherence in open-domain question answering. Inf. Process. Manag. 62(5): 104147 (2025) - [j104]Boshen Shi, Yongqing Wang, Fangda Guo, Bing-Bing Xu, Hua-Wei Shen, Xueqi Cheng:
Domain Adaptation for Graph Representation Learning: Challenges, Progress, and Prospects. J. Comput. Sci. Technol. 40(2): 283-300 (2025) - [j103]Yuanhao Liu, Qi Cao, Huawei Shen, Kaike Zhang, Yunfan Wu, Xueqi Cheng:
'I Know You Are Discriminatory!': Automated Substantiating for Individual Fairness Auditing of AI Systems. Proc. ACM Hum. Comput. Interact. 9(7): 1-38 (2025) - [j102]Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr:
Fairness and Diversity in Recommender Systems: A Survey. ACM Trans. Intell. Syst. Technol. 16(1): 2:1-2:28 (2025) - [j101]Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng:
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. IEEE Trans. Knowl. Data Eng. 37(1): 291-305 (2025) - [j100]Xueqi Cheng, Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Keping Bi:
GSM-EL: A Generalizable Symbol-Manipulation Approach for Entity Linking. IEEE Trans. Knowl. Data Eng. 37(3): 1213-1226 (2025) - [j99]Jiafeng Guo, Yinqiong Cai, Keping Bi, Yixing Fan, Wei Chen, Ruqing Zhang, Xueqi Cheng:
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval. ACM Trans. Inf. Syst. 43(2): 35:1-35:25 (2025) - [c530]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models. AAAI 2025: 12229-12237 - [c529]Zhaodan Zhang, Zhao Zhang, Jin Zhang, Hui Xu, Xueqi Cheng:
MPVStance: Mitigating Hallucinations in Stance Detection with Multi-Perspective Verification. ACL (1) 2025: 1053-1067 - [c528]Yuchen Wen, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective. ACL (Findings) 2025: 5081-5097 - [c527]Yuyao Ge, Shenghua Liu, Baolong Bi, Yiwei Wang, Lingrui Mei, Wenjie Feng, Lizhe Chen, Xueqi Cheng:
Can Graph Descriptive Order Affect Solving Graph Problems with LLMs? ACL (1) 2025: 6404-6420 - [c526]Hongru Song, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Jianming Lv, Maarten de Rijke, Xueqi Cheng:
The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems. ACL (Findings) 2025: 13935-13952 - [c525]Beining Huang, Du Su, Fei Sun, Qi Cao, Huawei Shen, Xueqi Cheng:
Low-Entropy Watermark Detection via Bayes' Rule Derived Detector. ACL (Findings) 2025: 14330-14344 - [c524]Yuxin Zuo, Wenxuan Jiang, Wenxuan Liu, Zixuan Li, Long Bai, Hanbin Wang, Yutao Zeng, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
KnowCoder-X: Boosting Multilingual Information Extraction via Code. ACL (Findings) 2025: 14486-14509 - [c523]Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Qi Cao, Dawei Yin, Huawei Shen, Xueqi Cheng:
The Mirage of Model Editing: Revisiting Evaluation in the Wild. ACL (1) 2025: 15336-15354 - [c522]Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Junfeng Fang, Pengliang Ji, Xueqi Cheng:
Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts. ACL (1) 2025: 17198-17208 - [c521]Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Jinyang Gao, Bolin Ding, Huawei Shen, Xueqi Cheng:
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models. ACL (1) 2025: 17876-17891 - [c520]Long Bai, Zixuan Li, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng, Tat-Seng Chua:
G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models. ACL (Findings) 2025: 20927-20938 - [c519]Shiyu Ni, Keping Bi, Jiafeng Guo, Lulu Yu, Baolong Bi, Xueqi Cheng:
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception. ACL (1) 2025: 24315-24329 - [c518]Jizhao Zhu, Akang Shi, Zixuan Li, Long Bai, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution. ACL (1) 2025: 28052-28070 - [c517]Renyang Liu, Wenjie Feng, Tianwei Zhang, Wei Zhou, Xueqi Cheng, See-Kiong Ng:
Rethinking Machine Unlearning in Image Generation Models. CCS 2025: 993-1007 - [c516]Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng:
Bridging Queries and Tables through Entities in Open-Domain Table Retrieval. CIKM 2025: 1540-1550 - [c515]Kangzhuo Chen, Xiaoqian Sun, Huawei Shen, Xueqi Cheng:
Let Topology Speak: Graph Neural Network with Topology-Aware Augmentation. CIKM 2025: 5592-5599 - [c514]Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Jiayi Mao, Xueqi Cheng:
"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak. COLING 2025: 2144-2162 - [c513]Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng:
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models. COLING 2025: 4457-4473 - [c512]Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng:
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation. COLING 2025: 5375-5390 - [c511]Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng:
Large Language Model-Based Event Relation Extraction with Rationales. COLING 2025: 7484-7496 - [c510]Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Inductive Link Prediction in N-ary Knowledge Graphs. COLING 2025: 8885-8896 - [c509]Wanqing Cui, Rui Cheng, Jiafeng Guo, Xueqi Cheng:
MVAM: Multi-View Attention Method for Fine-Grained Image-Text Matching. ECIR (2) 2025: 169-184 - [c508]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Maarten de Rijke, Xueqi Cheng:
On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective. ECIR (2) 2025: 407-423 - [c507]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Junfeng Fang, Hongcheng Gao, Shiyu Ni, Xueqi Cheng:
Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness. ICLR 2025 - [c506]Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng:
Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models. ICLR 2025 - [c505]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation. ICLR 2025 - [c504]Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng:
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models. ICLR 2025 - [c503]Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng:
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification. ICLR 2025 - [c502]Zezhi Shao, Yujie Li, Fei Wang, Chengqing Yu, Yisong Fu, Tangwen Qian, Bin Xu, Boyu Diao, Yongjun Xu, Xueqi Cheng:
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models. KDD (2) 2025: 2502-2513 - [c501]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng:
Generative Retrieval for Book Search. KDD (1) 2025: 2606-2617 - [c500]Xueqi Cheng, Catherine Yang, Yuying Zhao, Yu Wang, Hamid Karimi, Tyler Derr:
BTS: A Comprehensive Benchmark for Tie Strength Prediction. KDD (2) 2025: 5345-5354 - [c499]Haowen Gao, Liang Pang, Shicheng Xu, Leigang Qu, Tat-Seng Chua, Huawei Shen, Xueqi Cheng:
Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos. ACM Multimedia 2025: 6403-6411 - [c498]Gao yu Zhu, Wei Shao, Xichou Zhu, Lei Yu, Jiafeng Guo, Xueqi Cheng:
Text2Sql: Pure Fine-Tuning and Pure Knowledge Distillation. NAACL (Industry Track) 2025: 54-61 - [c497]Zenghao Duan, Wenbin Duan, Zhiyi Yin, Yinghan Shen, Shaoling Jing, Jie Zhang, Huawei Shen, Xueqi Cheng:
Related Knowledge Perturbation Matters: Rethinking Multiple Pieces of Knowledge Editing in Same-Subject. NAACL (Short Papers) 2025: 363-373 - [c496]Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng:
ALiiCE: Evaluating Positional Fine-grained Citation Generation. NAACL (Long Papers) 2025: 545-561 - [c495]Zhichao Shi, Shaoling Jing, Yi Cheng, Hao Zhang, Yuanzhuo Wang, Jie Zhang, Huawei Shen, Xueqi Cheng:
SafetyQuizzer: Timely and Dynamic Evaluation on the Safety of LLMs. NAACL (Long Papers) 2025: 1733-1747 - [c494]Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
BotTrans: A Multi-source Graph Domain Adaptation Approach for Social Bot Detection. ECML/PKDD (3) 2025: 228-243 - [c493]Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng:
InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning. SIGIR 2025: 719-728 - [c492]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
On the Scaling of Robustness and Effectiveness in Dense Retrieval. SIGIR 2025: 2351-2360 - [c491]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Boosting Retrieval-Augmented Generation with Generation-Augmented Retrieval: A Co-Training Approach. SIGIR 2025: 2441-2451 - [c490]Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng:
Fact-Level Calibration and Correction for Long-Form Generations. SIGIR 2025: 2807-2811 - [c489]Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng:
Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs. SIGIR-AP 2025: 12-21 - [c488]Hengran Zhang, Keping Bi, Jiafeng Guo, Jiaming Zhang, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng:
Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation. SIGIR-AP 2025: 22-30 - [c487]Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Huawei Shen, Xueqi Cheng:
On the Diminishing Returns of Complex Robust RAG Training in the Era of Powerful LLMs. SIGIR-AP 2025: 31-40 - [c486]Haosheng Qian, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Qi Chen, Dawei Yin, Xueqi Cheng:
VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous Verification. SIGIR-AP 2025: 47-54 - [c485]Shilong Zhao, Fei Sun, Kaike Zhang, Shaoling Jing, Du Su, Zhichao Shi, Zhiyi Yin, Huawei Shen, Xueqi Cheng:
LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models. SIGIR-AP 2025: 251-260 - [c484]Yingchen Zhang, Ruqing Zhang, Jiafeng Guo, Wenjun Peng, Sen Li, Fuyu Lv, Xueqi Cheng:
C2T-ID: Converting Semantic Codebooks to Textual Document Identifiers for Generative Search. SIGIR-AP 2025: 331-336 - [c483]Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr:
Edge Classification on Graphs: New Directions in Topological Imbalance. WSDM 2025: 392-400 - [c482]Xueqi Cheng:
Edge-Centric Network Analytics. WSDM 2025: 1071-1073 - [c481]Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Dawei Yin, Xueqi Cheng:
Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance. WWW (Companion Volume) 2025: 1495-1499 - [c480]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Personalized Denoising Implicit Feedback for Robust Recommender System. WWW 2025: 4470-4481 - [i313]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqing Wang, Dawei Yin, Xueqi Cheng:
Generative Retrieval for Book search. CoRR abs/2501.11034 (2025) - [i312]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Personalized Denoising Implicit Feedback for Robust Recommender System. CoRR abs/2502.00348 (2025) - [i311]Zenghao Duan, Wenbin Duan, Zhiyi Yin, Yinghan Shen, Shaoling Jing, Jie Zhang, Huawei Shen, Xueqi Cheng:
Related Knowledge Perturbation Matters: Rethinking Multiple Pieces of Knowledge Editing in Same-Subject. CoRR abs/2502.06868 (2025) - [i310]Bo Ni, Zheyuan Liu, Leyao Wang, Yongjia Lei, Yuying Zhao, Xueqi Cheng, Qingkai Zeng, Luna Dong, Yinglong Xia, Krishnaram Kenthapadi, Ryan A. Rossi, Franck Dernoncourt, Md. Mehrab Tanjim, Nesreen K. Ahmed, Xiaorui Liu, Wenqi Fan, Erik Blasch, Yu Wang, Meng Jiang, Tyler Derr:
Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey. CoRR abs/2502.06872 (2025) - [i309]Haowen Gao, Liang Pang, Shicheng Xu, Leigang Qu, Tat-Seng Chua, Huawei Shen, Xueqi Cheng:
Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos. CoRR abs/2502.07327 (2025) - [i308]Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Qi Cao, Dawei Yin, Huawei Shen, Xueqi Cheng:
The Mirage of Model Editing: Revisiting Evaluation in the Wild. CoRR abs/2502.11177 (2025) - [i307]Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Huawei Shen, Xueqi Cheng:
Revisiting Robust RAG: Do We Still Need Complex Robust Training in the Era of Powerful LLMs? CoRR abs/2502.11400 (2025) - [i306]Jingcheng Deng, Zhongtao Jiang, Liang Pang, Liwei Chen, Kun Xu, Zihao Wei, Huawei Shen, Xueqi Cheng:
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment. CoRR abs/2502.11401 (2025) - [i305]Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Jinyang Gao, Bolin Ding, Huawei Shen, Xueqi Cheng:
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models. CoRR abs/2502.11404 (2025) - [i304]Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Dawei Yin, Xueqi Cheng:
Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance. CoRR abs/2502.11414 (2025) - [i303]Shiyu Ni, Keping Bi, Jiafeng Guo, Lulu Yu, Baolong Bi, Xueqi Cheng:
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception. CoRR abs/2502.11677 (2025) - [i302]Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng:
Estimating Commonsense Plausibility through Semantic Shifts. CoRR abs/2502.13464 (2025) - [i301]Yixing Fan, Qiang Yan, Wenshan Wang, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
TrustRAG: An Information Assistant with Retrieval Augmented Generation. CoRR abs/2502.13719 (2025) - [i300]Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng:
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification. CoRR abs/2502.18176 (2025) - [i299]Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng:
Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective. CoRR abs/2503.02251 (2025) - [i298]Wenxuan Liu, Zixuan Li, Long Bai, Yuxin Zuo, Daozhu Xu, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction. CoRR abs/2503.02628 (2025) - [i297]Jizhao Zhu, Akang Shi, Zixuan Li, Long Bai, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Towards Robust Universal Information Extraction: Benchmark, Evaluation, and Solution. CoRR abs/2503.03201 (2025) - [i296]Baolong Bi, Shenghua Liu, Yiwei Wang, Yilong Xu, Junfeng Fang, Lingrui Mei, Xueqi Cheng:
Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models. CoRR abs/2503.15888 (2025) - [i295]Yuyao Ge, Shenghua Liu, Yiwei Wang, Lingrui Mei, Lizhe Chen, Baolong Bi, Xueqi Cheng:
Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking. CoRR abs/2503.19602 (2025) - [i294]Yilong Xu, Jinhua Gao, Xiaoming Yu, Yuanhai Xue, Baolong Bi, Huawei Shen, Xueqi Cheng:
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models. CoRR abs/2504.00573 (2025) - [i293]Hengran Zhang, Keping Bi, Jiafeng Guo, Xiaojie Sun, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng:
Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling. CoRR abs/2504.05216 (2025) - [i292]Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng:
Leveraging LLMs for Utility-Focused Annotation: Reducing Manual Effort for Retrieval and RAG. CoRR abs/2504.05220 (2025) - [i291]Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng:
Bridging Queries and Tables through Entities in Table Retrieval. CoRR abs/2504.06551 (2025) - [i290]Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Yuyao Ge, Jun Wan, Yurong Wu, Xueqi Cheng:
a1: Steep Test-time Scaling Law via Environment Augmented Generation. CoRR abs/2504.14597 (2025) - [i289]Tongrui Su, Qingbin Li, Shengyu Zhu, Wei Chen, Xueqi Cheng:
A Simple DropConnect Approach to Transfer-based Targeted Attack. CoRR abs/2504.18594 (2025) - [i288]Yuying Zhao, Yu Wang, Xueqi Cheng, Anne M. Tumlin, Yunchao Liu, Damin Xia, Meng Jiang, Tyler Derr:
Amplifying Your Social Media Presence: Personalized Influential Content Generation with LLMs. CoRR abs/2505.01698 (2025) - [i287]Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng:
InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning. CoRR abs/2505.06282 (2025) - [i286]Zhongni Hou, Miao Su, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo, Xueqi Cheng:
Mixture Policy based Multi-Hop Reasoning over N-tuple Temporal Knowledge Graphs. CoRR abs/2505.12788 (2025) - [i285]Shicheng Xu, Liang Pang, Yunchang Zhu, Jia Gu, Zihao Wei, Jingcheng Deng, Feiyang Pan, Huawei Shen, Xueqi Cheng:
Distilling the Implicit Multi-Branch Structure in LLMs' Reasoning via Reinforcement Learning. CoRR abs/2505.16142 (2025) - [i284]Zenghao Duan, Zhiyi Yin, Zhichao Shi, Liang Pang, Shaoling Jing, Jiayi Wu, Yu Yan, Huawei Shen, Xueqi Cheng:
GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace. CoRR abs/2505.17078 (2025) - [i283]Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
How Knowledge Popularity Influences and Enhances LLM Knowledge Boundary Perception. CoRR abs/2505.17537 (2025) - [i282]Hexiang Tan, Fei Sun, Sha Liu, Du Su, Qi Cao, Xin Chen, Jingang Wang, Xunliang Cai, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs. CoRR abs/2505.17656 (2025) - [i281]Zezhi Shao, Yujie Li, Fei Wang, Chengqing Yu, Yisong Fu, Tangwen Qian, Bin Xu, Boyu Diao, Yongjun Xu, Xueqi Cheng:
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models. CoRR abs/2505.17871 (2025) - [i280]Hongru Song, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Jianming Lv, Maarten de Rijke, Xueqi Cheng:
The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems. CoRR abs/2505.18583 (2025) - [i279]Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng:
Inference-time Alignment in Continuous Space. CoRR abs/2505.20081 (2025) - [i278]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
On the Scaling of Robustness and Effectiveness in Dense Retrieval. CoRR abs/2505.24279 (2025) - [i277]Long Bai, Zixuan Li, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng, Tat-Seng Chua:
G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models. CoRR abs/2506.00445 (2025) - [i276]Xueqi Cheng, Minxing Zheng, Shixiang Zhu, Yushun Dong:
MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models. CoRR abs/2506.02362 (2025) - [i275]Renyang Liu, Wenjie Feng, Tianwei Zhang, Wei Zhou, Xueqi Cheng, See-Kiong Ng:
Rethinking Machine Unlearning in Image Generation Models. CoRR abs/2506.02761 (2025) - [i274]Zixuan Li, Wenxuan Liu, Long Bai, Chunmao Zhang, Wei Li, Fenghui Zhang, Quanxin Jin, Ruoyun He, Zhuo Chen, Zhilei Hu, Fei Wang, Bingbing Xu, Xuhui Jiang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
KnowCoder-V2: Deep Knowledge Analysis. CoRR abs/2506.06881 (2025) - [i273]Jiyao Wei, Saiping Guan, Da Li, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
A Survey of Link Prediction in N-ary Knowledge Graphs. CoRR abs/2506.08970 (2025) - [i272]Jiayu Yao, Shenghua Liu, Yiwei Wang, Lingrui Mei, Baolong Bi, Yuyao Ge, Zhecheng Li, Xueqi Cheng:
Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation. CoRR abs/2506.11063 (2025) - [i271]Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot Detection. CoRR abs/2506.13795 (2025) - [i270]Baolong Bi, Shenghua Liu, Xingzhang Ren, Dayiheng Liu, Junyang Lin, Yiwei Wang, Lingrui Mei, Junfeng Fang, Jiafeng Guo, Xueqi Cheng:
RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs. CoRR abs/2507.03253 (2025) - [i269]Shilong Zhao, Fei Sun, Kaike Zhang, Shaoling Jing, Du Su, Zhichao Shi, Zhiyi Yin, Huawei Shen, Xueqi Cheng:
LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models. CoRR abs/2507.16969 (2025) - [i268]Hengran Zhang, Keping Bi, Jiafeng Guo, Jiaming Zhang, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng:
Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation. CoRR abs/2507.19102 (2025) - [i267]Shicheng Xu, Xin Huang, Zihao Wei, Liang Pang, Huawei Shen, Xueqi Cheng:
Reverse Physician-AI Relationship: Full-process Clinical Diagnosis Driven by a Large Language Model. CoRR abs/2508.10492 (2025) - [i266]Zihao Wei, Liang Pang, Jiahao Liu, Jingcheng Deng, Shicheng Xu, Zenghao Duan, Jingang Wang, Fei Sun, Xunliang Cai, Huawei Shen, Xueqi Cheng:
Stop Spinning Wheels: Mitigating LLM Overthinking via Mining Patterns for Early Reasoning Exit. CoRR abs/2508.17627 (2025) - [i265]Wei Huang, Keping Bi, Yinqiong Cai, Wei Chen, Jiafeng Guo, Xueqi Cheng:
How Do LLM-Generated Texts Impact Term-Based Retrieval Models? CoRR abs/2508.17715 (2025) - [i264]Xuekang Wang, Shengyu Zhu, Xueqi Cheng:
Speculative Safety-Aware Decoding. CoRR abs/2508.17739 (2025) - [i263]Fei Wang, Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Zhulin An, Yongjun Xu, Xueqi Cheng:
ARIES: Relation Assessment and Model Recommendation for Deep Time Series Forecasting. CoRR abs/2509.06060 (2025) - [i262]Yuyao Ge, Shenghua Liu, Yiwei Wang, Lingrui Mei, Baolong Bi, Xuanshan Zhou, Jiayu Yao, Jiafeng Guo, Xueqi Cheng:
Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning. CoRR abs/2509.06461 (2025) - [i261]Yunfei Zhong, Jun Yang, Yixing Fan, Jiafeng Guo, Lixin Su, Maarten de Rijke, Ruqing Zhang, Dawei Yin, Xueqi Cheng:
Reasoning-enhanced Query Understanding through Decomposition and Interpretation. CoRR abs/2509.06544 (2025) - [i260]Changjiang Zhou, Ruqing Zhang, Jiafeng Guo, Yu-An Liu, Fan Zhang, Ganyuan Luo, Xueqi Cheng:
A Generative Framework for Personalized Sticker Retrieval. CoRR abs/2509.17749 (2025) - [i259]Wanli Yang, Fei Sun, Rui Tang, Hongyu Zang, Du Su, Qi Cao, Jingang Wang, Huawei Shen, Xueqi Cheng:
Fine-tuning Done Right in Model Editing. CoRR abs/2509.22072 (2025) - [i258]Yingchen Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Does Generative Retrieval Overcome the Limitations of Dense Retrieval? CoRR abs/2509.22116 (2025) - [i257]Liang Pang, Kangxi Wu, Sunhao Dai, Zihao Wei, Zenghao Duan, Jia Gu, Xiang Li, Zhiyi Yin, Jun Xu, Huawei Shen, Xueqi Cheng:
Large Language Model Sourcing: A Survey. CoRR abs/2510.10161 (2025) - [i256]Hengran Zhang, Keping Bi, Jiafeng Guo, Jiaming Zhang, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng:
LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation. CoRR abs/2510.11358 (2025) - [i255]Haosheng Qian, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Qi Chen, Dawei Yin, Xueqi Cheng:
VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous Verification. CoRR abs/2510.11394 (2025) - [i254]Jiayu Yao, Shenghua Liu, Yiwei Wang, Rundong Cheng, Lingrui Mei, Baolong Bi, Zhen Xiong, Xueqi Cheng:
Not in Sync: Unveiling Temporal Bias in Audio Chat Models. CoRR abs/2510.12185 (2025) - [i253]Yuyao Ge, Lingrui Mei, Zenghao Duan, Tianhao Li, Yujia Zheng, Yiwei Wang, Lexin Wang, Jiayu Yao, Tianyu Liu, Yujun Cai, Baolong Bi, Fangda Guo, Jiafeng Guo, Shenghua Liu, Xueqi Cheng:
A Survey of Vibe Coding with Large Language Models. CoRR abs/2510.12399 (2025) - [i252]Junjie Nan, Jianing Li, Wei Chen, Mingkun Zhang, Xueqi Cheng:
NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations. CoRR abs/2510.14025 (2025) - [i251]Jingcheng Deng, Liang Pang, Zihao Wei, Shicheng Xu, Zenghao Duan, Kun Xu, Yang Song, Huawei Shen, Xueqi Cheng:
Latent Reasoning in LLMs as a Vocabulary-Space Superposition. CoRR abs/2510.15522 (2025) - [i250]Shiyu Ni, Keping Bi, Jiafeng Guo, Minghao Tang, Jingtong Wu, Zengxin Han, Xueqi Cheng:
Annotation-Efficient Universal Honesty Alignment. CoRR abs/2510.17509 (2025) - [i249]Hongru Song, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Sen Li, Wenjun Peng, Fuyu Lv, Xueqi Cheng:
LLMs as Sparse Retrievers:A Framework for First-Stage Product Search. CoRR abs/2510.18527 (2025) - [i248]Yingchen Zhang, Ruqing Zhang, Jiafeng Guo, Wenjun Peng, Sen Li, Fuyu Lv, Xueqi Cheng:
C2T-ID: Converting Semantic Codebooks to Textual Document Identifiers for Generative Search. CoRR abs/2510.19221 (2025) - [i247]Wenjie Zhou, Bohan Wang, Wei Chen, Xueqi Cheng:
BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training. CoRR abs/2510.25244 (2025) - [i246]Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng:
Can LLM Annotations Replace User Clicks for Learning to Rank? CoRR abs/2511.06635 (2025) - [i245]Wenda Wei, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Lixin Su, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Xueqi Cheng:
Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning. CoRR abs/2511.09109 (2025) - [i244]Baolong Bi, Shenghua Liu, Yiwei Wang, Siqian Tong, Lingrui Mei, Yuyao Ge, Yilong Xu, Jiafeng Guo, Xueqi Cheng:
Reward and Guidance through Rubrics: Promoting Exploration to Improve Multi-Domain Reasoning. CoRR abs/2511.12344 (2025) - [i243]Yucan Guo, Miao Su, Saiping Guan, Zihao Sun, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning. CoRR abs/2512.09487 (2025) - [i242]Yucan Guo, Saiping Guan, Miao Su, Zeya Zhao, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
StruProKGR: A Structural and Probabilistic Framework for Sparse Knowledge Graph Reasoning. CoRR abs/2512.12613 (2025) - 2024
- [j98]Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng:
IDEA: Invariant defense for graph adversarial robustness. Inf. Sci. 680: 121171 (2024) - [j97]Keting Cen, Hua-Wei Shen, Qi Cao, Bing-Bing Xu, Xueqi Cheng:
Identity-Preserving Adversarial Training for Robust Network Embedding. J. Comput. Sci. Technol. 39(2): 177-191 (2024) - [j96]Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng:
Towards generalizable Graph Contrastive Learning: An information theory perspective. Neural Networks 172: 106125 (2024) - [j95]Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng:
Node Embedding Preserving Graph Summarization. ACM Trans. Knowl. Discov. Data 18(6): 145:1-145:19 (2024) - [j94]Wenjie Feng, Shenghua Liu, Danai Koutra, Xueqi Cheng:
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms. IEEE Trans. Knowl. Data Eng. 36(3): 1356-1370 (2024) - [j93]Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng:
Graph Adversarial Immunization for Certifiable Robustness. IEEE Trans. Knowl. Data Eng. 36(4): 1597-1610 (2024) - [j92]Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr:
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. IEEE Trans. Knowl. Data Eng. 36(12): 7497-7515 (2024) - [j91]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. ACM Trans. Inf. Syst. 42(2): 57:1-57:32 (2024) - [j90]Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. ACM Trans. Inf. Syst. 42(5): 123:1-123:29 (2024) - [j89]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Listwise Generative Retrieval Models via a Sequential Learning Process. ACM Trans. Inf. Syst. 42(5): 133:1-133:31 (2024) - [c479]Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng:
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. AAAI 2024: 8832-8840 - [c478]Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. AAAI 2024: 16614-16622 - [c477]Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. ACL (1) 2024: 133-145 - [c476]Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Plot Retrieval as an Assessment of Abstract Semantic Association. ACL (Student Research Workshop) 2024: 146-161 - [c475]Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng:
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. ACL (Findings) 2024: 1178-1192 - [c474]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng:
LPNL: Scalable Link Prediction with Large Language Models. ACL (Findings) 2024: 3615-3625 - [c473]Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng:
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. ACL (Findings) 2024: 5419-5437 - [c472]Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng:
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? ACL (1) 2024: 6207-6227 - [c471]Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, Xiang Li, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction. ACL (1) 2024: 8758-8779 - [c470]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. ACL (Findings) 2024: 10303-10317 - [c469]Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. ACL (Findings) 2024: 11375-11388 - [c468]Guoxin Chen, Fangda Guo, Yongqing Wang, Yanghao Liu, Peiying Yu, Huawei Shen, Xueqi Cheng:
FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks. CIKM 2024: 207-217 - [c467]Saiping Guan, Jiyao Wei, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs. CIKM 2024: 695-705 - [c466]Oliver Young, Yixing Fan, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Xueqi Cheng:
GaQR: An Efficient Generation-augmented Question Rewriter. CIKM 2024: 4228-4232 - [c465]Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng:
Class-Incremental Few-Shot Event Detection. LREC/COLING 2024: 3261-3270 - [c464]Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Few-shot Link Prediction on Hyper-relational Facts. LREC/COLING 2024: 7196-7207 - [c463]Weicheng Ren, Zixuan Li, Xiaolong Jin, Long Bai, Miao Su, Yantao Liu, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
Nested Event Extraction upon Pivot Element Recognition. LREC/COLING 2024: 12127-12137 - [c462]Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Qsnail: A Questionnaire Dataset for Sequential Question Generation. LREC/COLING 2024: 13407-13418 - [c461]Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo, Xueqi Cheng:
Selective Temporal Knowledge Graph Reasoning. LREC/COLING 2024: 14555-14566 - [c460]Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
TEA: Test-Time Energy Adaptation. CVPR 2024: 23901-23911 - [c459]Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng:
History Driven Sampling for Scalable Graph Neural Networks. DASFAA (6) 2024: 364-374 - [c458]Mingkun Zhang, Jianing Li, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Classifier Guidance Enhances Diffusion-Based Adversarial Purification by Preserving Predictive Information. ECAI 2024: 2234-2241 - [c457]Run-Ze Fan, Yixing Fan, Jiangui Chen, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation. ECIR (1) 2024: 39-55 - [c456]Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng:
Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning. ECIR (4) 2024: 194-209 - [c455]Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework. EMNLP (Findings) 2024: 2380-2393 - [c454]Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. EMNLP 2024: 5263-5274 - [c453]Sihui Yang, Keping Bi, Wanqing Cui, Jiafeng Guo, Xueqi Cheng:
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs. EMNLP (Findings) 2024: 6985-7000 - [c452]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng:
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. EMNLP (Findings) 2024: 11071-11083 - [c451]Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Cheng:
SLANG: New Concept Comprehension of Large Language Models. EMNLP 2024: 12558-12575 - [c450]Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng:
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration. EMNLP 2024: 14131-14143 - [c449]Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts. EMNLP 2024: 15284-15298 - [c448]Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng:
SACH: Significant-Attributed Community Search in Heterogeneous Information Networks. ICDE 2024: 3283-3296 - [c447]Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng:
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract]. ICDE 2024: 5741-5742 - [c446]Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr:
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. ICLR 2024 - [c445]Chenhao Li, Lin Li, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng:
Test-Time Adaptation with Angular Distance-Based Prediction. ICONIP (6) 2024: 275-288 - [c444]Yantao Liu, Zixuan Li, Xiaolong Jin, Yucan Guo, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
An In-Context Schema Understanding Method for Knowledge Base Question Answering. KSEM (1) 2024: 419-434 - [c443]Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. ICMR 2024: 394-403 - [c442]Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng:
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue. NAACL-HLT (Findings) 2024: 3925-3951 - [c441]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Generative Retrieval Meets Multi-Graded Relevance. NeurIPS 2024 - [c440]Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng:
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense. NeurIPS 2024 - [c439]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation. NeurIPS 2024 - [c438]Yucan Guo, Zixuan Li, Xiaolong Jin, Yantao Liu, Yutao Zeng, Wenxuan Liu, Xiang Li, Pan Yang, Long Bai, Jiafeng Guo, Xueqi Cheng:
Retrieval-Augmented Code Generation for Universal Information Extraction. NLPCC (2) 2024: 30-42 - [c437]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. RecSys 2024: 680-689 - [c436]Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng:
Graph Summarization for Preserving Spectral Characteristics. SDM 2024: 271-279 - [c435]Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng:
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images. SIGIR 2024: 208-217 - [c434]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. SIGIR 2024: 1391-1400 - [c433]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation. SIGIR 2024: 1733-1742 - [c432]Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Are Large Language Models Good at Utility Judgments? SIGIR 2024: 1941-1951 - [c431]Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng:
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. SIGIR 2024: 2548-2552 - [c430]Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng:
A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. WSDM 2024: 674-682 - [c429]Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng:
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. WWW 2024: 1330-1340 - [c428]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. WWW 2024: 1362-1373 - [i241]Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng:
Reproducibility Analysis and Enhancements for Multi-Aspect Dense Retriever with Aspect Learning. CoRR abs/2401.03648 (2024) - [i240]Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng:
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts for Open-Domain QA? CoRR abs/2401.11911 (2024) - [i239]Fangda Guo, Xuanpu Luo, Yanghao Liu, Guoxin Chen, Yongqing Wang, Huawei Shen, Xueqi Cheng:
ESC: Edge-attributed Skyline Community Search in Large-scale Bipartite Graphs. CoRR abs/2401.12895 (2024) - [i238]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks. CoRR abs/2401.17723 (2024) - [i237]Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu, Huawei Shen, Xueqi Cheng:
Graph Domain Adaptation: Challenges, Progress and Prospects. CoRR abs/2402.00904 (2024) - [i236]Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng:
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. CoRR abs/2402.02764 (2024) - [i235]Lu Chen, Wei Huang, Ruqing Zhang, Wei Chen, Jiafeng Guo, Xueqi Cheng:
A Unified Causal View of Instruction Tuning. CoRR abs/2402.06220 (2024) - [i234]Yuyao Ge, Shenghua Liu, Wenjie Feng, Lingrui Mei, Lizhe Chen, Xueqi Cheng:
Graph Descriptive Order Improves Reasoning with Large Language Model. CoRR abs/2402.07140 (2024) - [i233]Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng:
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. CoRR abs/2402.09656 (2024) - [i232]Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng:
Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models. CoRR abs/2402.10612 (2024) - [i231]Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. CoRR abs/2402.11457 (2024) - [i230]Zihao Wei, Liang Pang, Hanxing Ding, Jingcheng Deng, Huawei Shen, Xueqi Cheng:
Stable Knowledge Editing in Large Language Models. CoRR abs/2402.13048 (2024) - [i229]Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Event-aware Video Corpus Moment Retrieval. CoRR abs/2402.13566 (2024) - [i228]Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. CoRR abs/2402.13576 (2024) - [i227]Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng:
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. CoRR abs/2402.13625 (2024) - [i226]Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Qsnail: A Questionnaire Dataset for Sequential Question Generation. CoRR abs/2402.14272 (2024) - [i225]Jiafeng Guo, Changjiang Zhou, Ruqing Zhang, Jiangui Chen, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks. CoRR abs/2402.16767 (2024) - [i224]Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. CoRR abs/2402.18150 (2024) - [i223]Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, Xiang Li, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction. CoRR abs/2403.07969 (2024) - [i222]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Listwise Generative Retrieval Models via a Sequential Learning Process. CoRR abs/2403.12499 (2024) - [i221]Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Are Large Language Models Good at Utility Judgments? CoRR abs/2403.19216 (2024) - [i220]Junkai Zhou, Liang Pang, Ya Jing, Jia Gu, Huawei Shen, Xueqi Cheng:
Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent. CoRR abs/2403.19275 (2024) - [i219]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng:
Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark. CoRR abs/2404.00216 (2024) - [i218]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. CoRR abs/2404.01574 (2024) - [i217]Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo, Xueqi Cheng:
Selective Temporal Knowledge Graph Reasoning. CoRR abs/2404.01695 (2024) - [i216]Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng:
Class-Incremental Few-Shot Event Detection. CoRR abs/2404.01767 (2024) - [i215]Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng:
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models. CoRR abs/2404.04990 (2024) - [i214]Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng:
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation. CoRR abs/2404.09043 (2024) - [i213]Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Pengliang Ji, Xueqi Cheng:
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts. CoRR abs/2405.11613 (2024) - [i212]Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng:
UnKE: Unstructured Knowledge Editing in Large Language Models. CoRR abs/2405.15349 (2024) - [i211]Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng:
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. CoRR abs/2405.16224 (2024) - [i210]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
Unveil the Duality of Retrieval-Augmented Generation: Theoretical Analysis and Practical Solution. CoRR abs/2406.00944 (2024) - [i209]Hengran Zhang, Keping Bi, Jiafeng Guo, Xueqi Cheng:
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy. CoRR abs/2406.11290 (2024) - [i208]Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Jiayi Mao, Xueqi Cheng:
"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak. CoRR abs/2406.11668 (2024) - [i207]Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr:
Edge Classification on Graphs: New Directions in Topological Imbalance. CoRR abs/2406.11685 (2024) - [i206]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng:
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. CoRR abs/2406.12468 (2024) - [i205]Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng:
ALiiCE: Evaluating Positional Fine-grained Citation Generation. CoRR abs/2406.13375 (2024) - [i204]Yuchen Wen, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective. CoRR abs/2406.14023 (2024) - [i203]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective. CoRR abs/2407.06992 (2024) - [i202]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. CoRR abs/2407.11504 (2024) - [i201]Saiping Guan, Jiyao Wei, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs. CoRR abs/2407.18556 (2024) - [i200]Mingkun Zhang, Jianing Li, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information. CoRR abs/2408.05900 (2024) - [i199]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Junfeng Fang, Xueqi Cheng:
StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models. CoRR abs/2409.10132 (2024) - [i198]Sihui Yang, Keping Bi, Wanqing Cui, Jiafeng Guo, Xueqi Cheng:
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs. CoRR abs/2409.14744 (2024) - [i197]Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. CoRR abs/2409.14781 (2024) - [i196]Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework. CoRR abs/2409.16146 (2024) - [i195]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. CoRR abs/2409.17476 (2024) - [i194]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Generative Retrieval Meets Multi-Graded Relevance. CoRR abs/2409.18409 (2024) - [i193]Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng:
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration. CoRR abs/2410.01285 (2024) - [i192]Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Ruibin Yuan, Xueqi Cheng:
HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router. CoRR abs/2410.02684 (2024) - [i191]Yige Yuan, Bingbing Xu, Teng Xiao, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
MITA: Bridging the Gap between Model and Data for Test-time Adaptation. CoRR abs/2410.09398 (2024) - [i190]Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng:
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models. CoRR abs/2410.12662 (2024) - [i189]Xueqi Cheng, Catherine Yang, Yuying Zhao, Yu Wang, Hamid Karimi, Tyler Derr:
A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions. CoRR abs/2410.19214 (2024) - [i188]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation. CoRR abs/2410.22844 (2024) - [i187]Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng:
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense. CoRR abs/2410.23091 (2024) - [i186]Yuxin Zuo, Wenxuan Jiang, Wenxuan Liu, Zixuan Li, Long Bai, Hanbin Wang, Yutao Zeng, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
AlignXIE: Improving Multilingual Information Extraction by Cross-Lingual Alignment. CoRR abs/2411.04794 (2024) - [i185]Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng:
Fact-Level Confidence Calibration and Self-Correction. CoRR abs/2411.13343 (2024) - [i184]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Maarten de Rijke, Xueqi Cheng:
On the Robustness of Generative Information Retrieval Models. CoRR abs/2412.18768 (2024) - [i183]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-box Neural Ranking Models. CoRR abs/2412.18770 (2024) - 2023
- [j88]Jiangli Shao, Yongqing Wang, Hao Gao, Boshen Shi, Huawei Shen, Xueqi Cheng:
AsyLink: user identity linkage from text to geo-location via sparse labeled data. Neurocomputing 515: 174-184 (2023) - [j87]Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data. Inf. Process. Manag. 60(4): 103361 (2023) - [j86]Junjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia, Xueqi Cheng:
Negative Can Be Positive: Signed Graph Neural Networks for Recommendation. Inf. Process. Manag. 60(4): 103403 (2023) - [j85]Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Fei Sun, Xueqi Cheng:
Adversarial camouflage for node injection attack on graphs. Inf. Sci. 649: 119611 (2023) - [j84]Junjie Huang, Win-Bin Huang, Yi Bu, Qi Cao, Huawei Shen, Xueqi Cheng:
What makes a successful rebuttal in computer science conferences?: A perspective on social interaction. J. Informetrics 17(3): 101427 (2023) - [j83]Boshen Shi, Yongqing Wang, Jiangli Shao, Huawei Shen, Yangyang Li, Xueqi Cheng:
Node classification across networks via category-level domain adaptive network embedding. Knowl. Inf. Syst. 65(12): 5479-5502 (2023) - [j82]Yinghan Shen, Xuhui Jiang, Zijian Li, Yuanzhuo Wang, Chengjin Xu, Huawei Shen, Xueqi Cheng:
UniSKGRep: A unified representation learning framework of social network and knowledge graph. Neural Networks 158: 142-153 (2023) - [j81]Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Visual Reasoning: From State to Transformation. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11352-11364 (2023) - [j80]Wenjie Feng, Shenghua Liu, Xueqi Cheng:
Hierarchical Dense Pattern Detection in Tensors. ACM Trans. Knowl. Discov. Data 17(6): 81:1-81:29 (2023) - [j79]Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation. IEEE Trans. Knowl. Data Eng. 35(1): 672-685 (2023) - [j78]Shenghua Liu, Bin Zhou, Quan Ding, Bryan Hooi, Zhengbo Zhang, Huawei Shen, Xueqi Cheng:
Time Series Anomaly Detection With Adversarial Reconstruction Networks. IEEE Trans. Knowl. Data Eng. 35(4): 4293-4306 (2023) - [j77]Saiping Guan, Xueqi Cheng, Long Bai, Fujun Zhang, Zixuan Li, Yutao Zeng, Xiaolong Jin, Jiafeng Guo:
What is Event Knowledge Graph: A Survey. IEEE Trans. Knowl. Data Eng. 35(7): 7569-7589 (2023) - [j76]Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng:
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study. IEEE Trans. Knowl. Data Eng. 35(12): 12770-12784 (2023) - [j75]Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Are Neural Ranking Models Robust? ACM Trans. Inf. Syst. 41(2): 29:1-29:36 (2023) - [j74]Chen Wu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models. ACM Trans. Inf. Syst. 41(4): 89:1-89:27 (2023) - [c427]Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng:
A Provable Framework of Learning Graph Embeddings via Summarization. AAAI 2023: 4946-4953 - [c426]Chenhao Li, Qiang Qiu, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng:
Learning Adversarially Robust Sparse Networks via Weight Reparameterization. AAAI 2023: 8527-8535 - [c425]Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng:
Rich Event Modeling for Script Event Prediction. AAAI 2023: 12553-12561 - [c424]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval. ACL (1) 2023: 6620-6635 - [c423]Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng:
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation. ACL (1) 2023: 9945-9959 - [c422]Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
Semantic Structure Enhanced Event Causality Identification. ACL (1) 2023: 10901-10913 - [c421]Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen:
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. CIKM 2023: 99-109 - [c420]Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng:
L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. CIKM 2023: 183-192 - [c419]Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
Causality and Independence Enhancement for Biased Node Classification. CIKM 2023: 203-212 - [c418]Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Inducing Causal Structure for Abstractive Text Summarization. CIKM 2023: 213-223 - [c417]Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Continual Learning for Generative Retrieval over Dynamic Corpora. CIKM 2023: 306-315 - [c416]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. CIKM 2023: 1647-1656 - [c415]Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng:
TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning. CIKM 2023: 2208-2218 - [c414]Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng:
CANA: Causal-enhanced Social Network Alignment. CIKM 2023: 2219-2228 - [c413]Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
Improving Graph Domain Adaptation with Network Hierarchy. CIKM 2023: 2249-2258 - [c412]Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. CIKM 2023: 5396-5400 - [c411]Junjie Huang,