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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) - [c550]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. AAAI 2026: 33836-33844 - [c549]Shicheng Xu, Liang Pang, Yunchang Zhu, Jia Gu, Zihao Wei, Jingcheng Deng, Feiyang Pan, Huawei Shen, Xueqi Cheng:
RLKD: Distilling LLMs' Reasoning via Reinforcement Learning. AAAI 2026: 34151-34159 - [c548]Wei Huang, Keping Bi, Yinqiong Cai, Wei Chen, Jiafeng Guo, Xueqi Cheng:
How Do LLM-Generated Texts Impact Term-Based Retrieval Models? WSDM 2026: 238-248 - [c547]Weicheng Ren, Zixuan Li, Long Bai, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Identify-Conceptualize-Align: A Schema-Adaptive Framework for Unified Entity Recognition and Event Detection. WSDM 2026: 552-562 - [i324]Guangxin Wu, Hao Zhang, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng:
Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration. CoRR abs/2601.02674 (2026) - [i323]Hexiang Tan, Wanli Yang, Junwei Zhang, Xin Chen, Rui Tang, Du Su, Jingang Wang, Yuanzhuo Wang, Fei Sun, Xueqi Cheng:
BaseCal: Unsupervised Confidence Calibration via Base Model Signals. CoRR abs/2601.03042 (2026) - [i322]Zenghao Duan, Liang Pang, Zihao Wei, Wenbin Duan, Yuxin Tian, Shicheng Xu, Jingcheng Deng, Zhiyi Yin, Xueqi Cheng:
Circular Reasoning: Understanding Self-Reinforcing Loops in Large Reasoning Models. CoRR abs/2601.05693 (2026) - [i321]Zenghao Duan, Zhiyi Yin, Zhichao Shi, Liang Pang, Shaoling Jing, Zihe Huang, Jiayi Wu, Yu Yan, Jingcheng Deng, Huawei Shen, Xueqi Cheng:
Projecting Out the Malice: A Global Subspace Approach to LLM Detoxification. CoRR abs/2601.06226 (2026) - [i320]Hao Zhang, Zhibin Zhang, Guangxin Wu, He Chen, Jiafeng Guo, Xueqi Cheng:
MI-PRUN: Optimize Large Language Model Pruning via Mutual Information. CoRR abs/2601.07212 (2026) - [i319]Miao Su, Yucan Guo, Zhongni Hou, Long Bai, Zixuan Li, Yufei Zhang, Guojun Yin, Wei Lin, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents. CoRR abs/2601.07468 (2026) - [i318]Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng:
Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems. CoRR abs/2601.11147 (2026) - [i317]Lingrui Mei, Shenghua Liu, Yiwei Wang, Yuyao Ge, Baolong Bi, Jiayu Yao, Jun Wan, Ziling Yin, Jiafeng Guo, Xueqi Cheng:
Gated Differentiable Working Memory for Long-Context Language Modeling. CoRR abs/2601.12906 (2026) - [i316]Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng:
D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models. CoRR abs/2601.17865 (2026) - [i315]Shilong Zhao, Qinggang Yang, Zhiyi Yin, Xiaoshi Wang, Zhenxing Chen, Du Su, Xueqi Cheng:
PersonaAct: Simulating Short-Video Users with Personalized Agents for Counterfactual Filter Bubble Auditing. CoRR abs/2601.22547 (2026) - [i314]Hengran Zhang, Keping Bi, Jiafeng Guo, Jiaming Zhang, Wenbo Yang, Daiting Shi, Xueqi Cheng:
Bagging-Based Model Merging for Robust General Text Embeddings. CoRR abs/2602.05787 (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) - [c546]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 - [c545]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 - [c544]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 - [c543]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 - [c542]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 - [c541]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 - [c540]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 - [c539]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 - [c538]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 - [c537]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 - [c536]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 - [c535]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 - [c534]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 - [c533]Renyang Liu, Wenjie Feng, Tianwei Zhang, Wei Zhou, Xueqi Cheng, See-Kiong Ng:
Rethinking Machine Unlearning in Image Generation Models. CCS 2025: 993-1007 - [c532]Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng:
Bridging Queries and Tables through Entities in Open-Domain Table Retrieval. CIKM 2025: 1540-1550 - [c531]Kangzhuo Chen, Xiaoqian Sun, Huawei Shen, Xueqi Cheng:
Let Topology Speak: Graph Neural Network with Topology-Aware Augmentation. CIKM 2025: 5592-5599 - [c530]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 - [c529]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 - [c528]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 - [c527]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 - [c526]Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Inductive Link Prediction in N-ary Knowledge Graphs. COLING 2025: 8885-8896 - [c525]Wanqing Cui, Rui Cheng, Jiafeng Guo, Xueqi Cheng:
MVAM: Multi-View Attention Method for Fine-Grained Image-Text Matching. ECIR (2) 2025: 169-184 - [c524]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 - [c523]Zhaodan Zhang, Jin Zhang, Hui Xu, Jiafeng Guo, Xueqi Cheng:
MPRF: Interpretable Stance Detection through Multi-Path Reasoning Framework. EMNLP 2025: 454-470 - [c522]ZhaoDan Zhang, Jin Zhang, Xueqi Cheng, Hui Xu:
T-MAD: Target-driven Multimodal Alignment for Stance Detection. EMNLP 2025: 580-595 - [c521]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. EMNLP 2025: 629-648 - [c520]Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng:
Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation. EMNLP 2025: 1683-1702 - [c519]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. EMNLP 2025: 4755-4765 - [c518]Yihang Wang, Xu Huang, Bowen Tian, Yueyang Su, Lei Yu, Huaming Liao, Yixing Fan, Jiafeng Guo, Xueqi Cheng:
QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory. EMNLP (Findings) 2025: 6841-6856 - [c517]Jingcheng Deng, Zhongtao Jiang, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Yang Song, Huawei Shen, Xueqi Cheng:
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment. EMNLP 2025: 12661-12677 - [c516]Xuekang Wang, Shengyu Zhu, Xueqi Cheng:
Speculative Safety-Aware Decoding. EMNLP 2025: 12827-12841 - [c515]Changjiang Zhou, Ruqing Zhang, Jiafeng Guo, Yuan Liu, Fan Zhang, Ganyuan Luo, Xueqi Cheng:
A Generative Framework for Personalized Sticker Retrieval. EMNLP (Findings) 2025: 13995-14009 - [c514]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. EMNLP 2025: 15183-15193 - [c513]Shuangjie Fu, Du Su, Beining Huang, Fei Sun, Jingang Wang, Wei Chen, Huawei Shen, Xueqi Cheng:
Jailbreak LLMs through Internal Stance Manipulation. EMNLP 2025: 15444-15459 - [c512]WenJie Zhou, Bohan Wang, Wei Chen, Xueqi Cheng:
BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training. EMNLP 2025: 18834-18849 - [c511]Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng:
Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective. EMNLP 2025: 27693-27704 - [c510]Jiyao Wei, Saiping Guan, Da Li, Zhongni Hou, Miao Su, Yucan Guo, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
A Survey of Link Prediction in N-ary Knowledge Graphs. EMNLP 2025: 28545-28567 - [c509]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. EMNLP 2025: 34377-34399 - [c508]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 - [c507]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 - [c506]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation. ICLR 2025 - [c505]Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng:
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models. ICLR 2025 - [c504]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 - [c503]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 - [c502]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 - [c501]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 - [c500]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 - [c499]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 - [c498]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 - [c497]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 - [c496]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 - [c495]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 - [c494]Feixiang Liu, Lin Li, Qiang Qiu, Yi Jin, Xiao Hu, Jiafeng Guo, Xueqi Cheng:
CacheNoise: Accomplishing More Denoising Steps with Less Noise. PRCV (2) 2025: 460-474 - [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]