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ORCIDZhenghao Liu 0001
Person information
- affiliation: Northeastern University, School of Computer Science and Engineering, Shenyang, China
- affiliation (PhD 2021): Tsinghua University, Department of Computer Science and Technology, State Key Laboratory of Intelligent Technology and Systems, Beijing, China
Other persons with the same name
- Zhenghao Liu — disambiguation page
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2020 – today
- 2026
[e1]Maosong Sun, Peiyong Duan, Zhiyuan Liu, Ruifeng Xu
, Weiwei Sun, Yubo Chen, Zhiliang Tian, Zhenghao Liu:
Chinese Computational Linguistics - 24th China National Conference, CCL 2025, Jinan, China, August 11-14, 2025, Proceedings. Lecture Notes in Computer Science 16052, Springer 2026, ISBN 978-981-95-2724-3 [contents]- 2025
- [j6]Yuqing Lan, Zhenghao Liu, Yu Gu, Xiaoyuan Yi, Xiaohua Li, Liner Yang, Ge Yu:
Multi-Evidence Based Fact Verification via A Confidential Graph Neural Network. IEEE Trans. Big Data 11(2): 426-437 (2025) - [j5]Liner Yang, Jiaxin Yuan, Cunliang Kong, Jingsi Yu, Ruining Chong, Zhenghao Liu, Erhong Yang:
Tailored Definitions With Easy Reach: Complexity-Controllable Definition Generation. IEEE Trans. Big Data 11(4): 2061-2071 (2025) - [j4]Xinze Li, Hanbin Wang, Zhenghao Liu, Shi Yu, Shuo Wang, Yukun Yan, Yukai Fu, Yu Gu, Ge Yu:
Building a Coding Assistant via the Retrieval-Augmented Language Model. ACM Trans. Inf. Syst. 43(2): 39:1-39:25 (2025) - [c47]Shuliang Liu, Xinze Li, Zhenghao Liu, Yukun Yan, Cheng Yang, Zheni Zeng, Zhiyuan Liu, Maosong Sun, Ge Yu:
Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models. ACL (Findings) 2025: 5788-5807 - [c46]Kunlun Zhu, Yifan Luo, Dingling Xu, Yukun Yan, Zhenghao Liu, Shi Yu, Ruobing Wang, Shuo Wang, Yishan Li, Nan Zhang, Xu Han, Zhiyuan Liu, Maosong Sun:
RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework. ACL (1) 2025: 8520-8544 - [c45]Mingyan Wu, Zhenghao Liu, Yukun Yan, Xinze Li, Shi Yu, Zheni Zeng, Yu Gu, Ge Yu:
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts. ACL (1) 2025: 12857-12874 - [c44]Buqiang Xu, Xin Dai, Zhenghao Liu, Huiyuan Xie, Xiaoyuan Yi, Shuo Wang, Yukun Yan, Liner Yang, Yu Gu, Ge Yu:
LegalDuet: Learning Fine-Grained Representations for Legal Judgment Prediction via a Dual-View Contrastive Learning. ADMA (1) 2025: 337-352 - [c43]Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang, Shi Yu, Zheni Zeng, Hao Chen, Ge Yu, Zhiyuan Liu, Maosong Sun, Chenyan Xiong:
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards. ICLR 2025 - [c42]Shi Yu, Chaoyue Tang, Bokai Xu, Junbo Cui, Junhao Ran, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun:
VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents. ICLR 2025 - [c41]Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun:
Advancing LLM Reasoning Generalists with Preference Trees. ICLR 2025 - [c40]Weiqing Yang, Hanbin Wang, Zhenghao Liu, Xinze Li, Yukun Yan, Shuo Wang, Yu Gu, Minghe Yu, Zhiyuan Liu, Ge Yu:
COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis. NAACL (Findings) 2025: 2570-2585 - [c39]Mingxing Shao, Tiancheng Zhang, Minghe Yu, Zhenghao Liu, Yifang Yin, Hengyu Liu, Ge Yu:
Leveraging Student Profiles and the Mamba Framework to Enhance Knowledge Tracing. ECML/PKDD (7) 2025: 201-218 - [c38]Qiushi Xiong, Zhipeng Xu, Zhenghao Liu, Mengjia Wang, Zulong Chen, Yue Sun, Yu Gu, Xiaohua Li, Ge Yu:
Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph. SIGIR 2025: 337-347 - [c37]Yifan Ji, Zhipeng Xu, Zhenghao Liu, Yukun Yan, Shi Yu, Yishan Li, Zhiyuan Liu, Yu Gu, Ge Yu, Maosong Sun:
Learning Refined Document Representations for Dense Retrieval via Deliberate Thinking. SIGIR-AP 2025: 292-302 - [i73]Yifan Ji, Zhipeng Xu, Zhenghao Liu, Yukun Yan, Shi Yu, Yishan Li, Zhiyuan Liu, Yu Gu, Ge Yu, Maosong Sun:
Learning More Effective Representations for Dense Retrieval through Deliberate Thinking Before Search. CoRR abs/2502.12974 (2025) - [i72]Boyu Chen, Zirui Guo, Zidan Yang, Yuluo Chen, Junze Chen, Zhenghao Liu, Chuan Shi, Cheng Yang:
PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths. CoRR abs/2502.14902 (2025) - [i71]Pengcheng Huang, Zhenghao Liu, Yukun Yan, Xiaoyuan Yi, Hao Chen, Zhiyuan Liu, Maosong Sun, Tong Xiao, Ge Yu, Chenyan Xiong:
PIP-KAG: Mitigating Knowledge Conflicts in Knowledge-Augmented Generation via Parametric Pruning. CoRR abs/2502.15543 (2025) - [i70]Sijia Yao, Pengcheng Huang, Zhenghao Liu, Yu Gu, Yukun Yan, Shi Yu, Ge Yu:
LLM-QE: Improving Query Expansion by Aligning Large Language Models with Ranking Preferences. CoRR abs/2502.17057 (2025) - [i69]Zhenghao Liu, Xingsheng Zhu, Tianshuo Zhou, Xinyi Zhang, Xiaoyuan Yi, Yukun Yan, Yu Gu, Ge Yu, Maosong Sun:
Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts. CoRR abs/2502.17297 (2025) - [i68]Zhenghao Liu, Haolan Wang, Xinze Li, Qiushi Xiong, Xiaocui Yang, Yu Gu, Yukun Yan, Qi Shi, Fangfang Li, Ge Yu, Maosong Sun:
HIPPO: Enhancing the Table Understanding Capability of Large Language Models through Hybrid-Modal Preference Optimization. CoRR abs/2502.17315 (2025) - [i67]Mingyan Wu, Zhenghao Liu, Yukun Yan, Xinze Li, Shi Yu, Zheni Zeng, Yu Gu, Ge Yu:
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts. CoRR abs/2502.17888 (2025) - [i66]Shuliang Liu, Xinze Li, Zhenghao Liu, Yukun Yan, Cheng Yang, Zheni Zeng, Zhiyuan Liu, Maosong Sun, Ge Yu:
Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models. CoRR abs/2502.18817 (2025) - [i65]Yuxuan Chen, Dewen Guo, Sen Mei, Xinze Li, Hao Chen, Yishan Li, Yixuan Wang, Chaoyue Tang, Ruobing Wang, Dingjun Wu, Yukun Yan, Zhenghao Liu, Shi Yu, Zhiyuan Liu, Maosong Sun:
UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation. CoRR abs/2504.08761 (2025) - [i64]Qiushi Xiong, Zhipeng Xu, Zhenghao Liu, Mengjia Wang, Zulong Chen, Yue Sun, Yu Gu, Xiaohua Li, Ge Yu:
Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph. CoRR abs/2504.14845 (2025) - [i63]Chunyi Peng, Zhipeng Xu, Zhenghao Liu, Yishan Li, Yukun Yan, Shuo Wang, Zhiyuan Liu, Yu Gu, Minghe Yu, Ge Yu, Maosong Sun:
Learning to Route Queries Across Knowledge Bases for Step-wise Retrieval-Augmented Reasoning. CoRR abs/2505.22095 (2025) - [i62]Haidong Xin, Qiushi Xiong, Zhenghao Liu, Sen Mei, Yukun Yan, Shi Yu, Shuo Wang, Yu Gu, Ge Yu, Chenyan Xiong:
ConsRec: Denoising Sequential Recommendation through User-Consistent Preference Modeling. CoRR abs/2505.22130 (2025) - [i61]Zhuoyang Wu, Xinze Li, Zhenghao Liu, Yukun Yan, Zhiyuan Liu, Minghe Yu, Cheng Yang, Yu Gu, Ge Yu, Maosong Sun:
EULER: Enhancing the Reasoning Ability of Large Language Models through Error-Induced Learning. CoRR abs/2505.22131 (2025) - [i60]Hao Chen, Yukun Yan, Sen Mei, Wanxiang Che, Zhenghao Liu, Qi Shi, Xinze Li, Yuchun Fan, Pengcheng Huang, Qiushi Xiong, Zhiyuan Liu, Maosong Sun:
ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation. CoRR abs/2505.24388 (2025) - [i59]Xiaoang Xu, Shuo Wang, Xu Han, Zhenghao Liu, Huijia Wu, Peipei Li, Zhiyuan Liu, Maosong Sun, Zhaofeng He:
A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings. CoRR abs/2505.24550 (2025) - [i58]Yongjian Li, HaoCheng Chu, Yukun Yan, Zhenghao Liu, Shi Yu, Zheni Zeng, Ruobing Wang, Sen Song, Zhiyuan Liu, Maosong Sun:
KARE-RAG: Knowledge-Aware Refinement and Enhancement for RAG. CoRR abs/2506.02503 (2025) - [i57]Dingjun Wu, Yukun Yan, Zhenghao Liu, Zhiyuan Liu, Maosong Sun:
KG-Infused RAG: Augmenting Corpus-Based RAG with External Knowledge Graphs. CoRR abs/2506.09542 (2025) - [i56]Zhensheng Jin, Xinze Li, Yifan Ji, Chunyi Peng, Zhenghao Liu, Qi Shi, Yukun Yan, Shuo Wang, Furong Peng, Ge Yu:
ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization. CoRR abs/2506.10822 (2025) - [i55]Yuzhuo Bai, Shitong Duan, Muhua Huang, Jing Yao, Zhenghao Liu, Peng Zhang, Tun Lu, Xiaoyuan Yi, Maosong Sun, Xing Xie:
IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization. CoRR abs/2508.08719 (2025) - [i54]Xin Dai, Buqiang Xu, Zhenghao Liu, Yukun Yan, Huiyuan Xie, Xiaoyuan Yi, Shuo Wang, Ge Yu:
LegalΔ: Enhancing Legal Reasoning in LLMs via Reinforcement Learning with Chain-of-Thought Guided Information Gain. CoRR abs/2508.12281 (2025) - [i53]Pengcheng Huang, Shuhao Liu, Zhenghao Liu, Yukun Yan, Shuo Wang, Zulong Chen, Tong Xiao:
PC-Sampler: Position-Aware Calibration of Decoding Bias in Masked Diffusion Models. CoRR abs/2508.13021 (2025) - [i52]Shaohua Duan, Xinze Li, Zhenghao Liu, Xiaoyuan Yi, Yukun Yan, Shuo Wang, Yu Gu, Ge Yu, Maosong Sun:
Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization. CoRR abs/2508.13993 (2025) - [i51]Shuliang Liu, Zhipeng Xu, Zhenghao Liu, Yukun Yan, Minghe Yu, Yu Gu, Chong Chen, Huiyuan Xie, Ge Yu:
Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling. CoRR abs/2510.08145 (2025) - [i50]Yubo Sun, Chunyi Peng, Yukun Yan, Shi Yu, Zhenghao Liu, Chi Chen, Zhiyuan Liu, Maosong Sun:
VisRAG 2.0: Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation. CoRR abs/2510.09733 (2025) - 2024
- [j3]Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu:
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network. IEEE Trans. Knowl. Data Eng. 36(9): 4515-4530 (2024) - [c36]Bohan Zhang, Mo Chen, Jing Chen, Minghe Yu, Zhenghao Liu, Bin Xu, Ge Yu:
MMPDRec: A Denoising Model for Knowledge Concepts Recommendation Using Metapaths. WISA 2024: 65-77 - [c35]Jing Chen, Yu Zhang, Bohan Zhang, Zhenghao Liu, Minghe Yu, Bin Xu, Ge Yu:
Knowledge-Aware Self-supervised Educational Resources Recommendation. WISA 2024: 524-535 - [c34]Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu:
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair. ACL (Findings) 2024: 2081-2107 - [c33]Zhiyu Yang, Zihan Zhou, Shuo Wang, Xin Cong, Xu Han, Yukun Yan, Zhenghao Liu, Zhixing Tan, Pengyuan Liu, Dong Yu, Zhiyuan Liu, Xiaodong Shi, Maosong Sun:
MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization. ACL (Findings) 2024: 11789-11804 - [c32]Haoyu Wang, Shuo Wang, Yukun Yan, Xujia Wang, Zhiyu Yang, Yuzhuang Xu, Zhenghao Liu, Liner Yang, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun:
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset. ACL (1) 2024: 11929-11942 - [c31]Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu:
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin. ACL (1) 2024: 14608-14624 - [c30]Zhipeng Xu, Zhenghao Liu, Yu Gu, Ge Yu:
Exploring the Potential of Dimension Reduction in Building Efficient Dense Retrieval Systems. CCIR 2024: 66-79 - [c29]Shi Yu, Chenghao Fan, Chenyan Xiong, David Jin, Zhiyuan Liu, Zhenghao Liu:
Fusion-in-T5: Unifying Variant Signals for Simple and Effective Document Ranking with Attention Fusion. LREC/COLING 2024: 7556-7561 - [c28]Ruining Chong, Luming Lu, Liner Yang, Jinran Nie, Zhenghao Liu, Shuo Wang, Shuhan Zhou, Yaoxin Li, Erhong Yang:
MCTS: A Multi-Reference Chinese Text Simplification Dataset. LREC/COLING 2024: 11111-11122 - [c27]Cheng Gao, Chaojun Xiao, Zhenghao Liu, Huimin Chen, Zhiyuan Liu, Maosong Sun:
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs. EMNLP 2024: 7086-7100 - [c26]Na Guo, Yaqi Wang, Wenli Sun, Yu Gu, Jianzhong Qi, Zhenghao Liu, Xiufeng Xia, Ge Yu:
Chameleon: Towards Update-Efficient Learned Indexing for Locally Skewed Data. ICDE 2024: 4316-4328 - [c25]Cheng Qian, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model. NAACL-HLT 2024: 831-854 - [c24]Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu:
Modeling User Viewing Flow using Large Language Models for Article Recommendation. WWW (Companion Volume) 2024: 83-92 - [i49]Haoyu Wang, Shuo Wang, Yukun Yan, Xujia Wang, Zhiyu Yang, Yuzhuang Xu, Zhenghao Liu, Liner Yang, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun:
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset. CoRR abs/2402.04588 (2024) - [i48]Zhiyu Yang, Zihan Zhou, Shuo Wang, Xin Cong, Xu Han, Yukun Yan, Zhenghao Liu, Zhixing Tan, Pengyuan Liu, Dong Yu, Zhiyuan Liu, Xiaodong Shi, Maosong Sun:
MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization. CoRR abs/2402.11453 (2024) - [i47]Yang Liu, Meng Xu, Shuo Wang, Liner Yang, Haoyu Wang, Zhenghao Liu, Cunliang Kong, Yun Chen, Yang Liu, Maosong Sun, Erhong Yang:
OMGEval: An Open Multilingual Generative Evaluation Benchmark for Large Language Models. CoRR abs/2402.13524 (2024) - [i46]Zhipeng Xu, Zhenghao Liu, Yibin Liu, Chenyan Xiong, Yukun Yan, Shuo Wang, Shi Yu, Zhiyuan Liu, Ge Yu:
ActiveRAG: Revealing the Treasures of Knowledge via Active Learning. CoRR abs/2402.13547 (2024) - [i45]Luming Lu, Jiyuan An, Yujie Wang, Liner Yang, Cunliang Kong, Zhenghao Liu, Shuo Wang, Haozhe Lin, Mingwei Fang, Yaping Huang, Erhong Yang:
From Text to CQL: Bridging Natural Language and Corpus Search Engine. CoRR abs/2402.13740 (2024) - [i44]Zhipeng Xu, Zhenghao Liu, Yukun Yan, Zhiyuan Liu, Chenyan Xiong, Ge Yu:
Cleaner Pretraining Corpus Curation with Neural Web Scraping. CoRR abs/2402.14652 (2024) - [i43]Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yukun Yan, Shuo Wang, Ge Yu:
Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression. CoRR abs/2402.16058 (2024) - [i42]Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun:
Advancing LLM Reasoning Generalists with Preference Trees. CoRR abs/2404.02078 (2024) - [i41]Yuqing Lan, Zhenghao Liu, Yu Gu, Xiaoyuan Yi, Xiaohua Li, Liner Yang, Ge Yu:
Multi-Evidence based Fact Verification via A Confidential Graph Neural Network. CoRR abs/2405.10481 (2024) - [i40]Zheni Zeng, Jiayi Chen, Huimin Chen, Yukun Yan, Yuxuan Chen, Zhenghao Liu, Zhiyuan Liu, Maosong Sun:
PersLLM: A Personified Training Approach for Large Language Models. CoRR abs/2407.12393 (2024) - [i39]Kunlun Zhu, Yifan Luo, Dingling Xu, Ruobing Wang, Shi Yu, Shuo Wang, Yukun Yan, Zhenghao Liu, Xu Han, Zhiyuan Liu, Maosong Sun:
RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework. CoRR abs/2408.01262 (2024) - [i38]Weiqing Yang, Hanbin Wang, Zhenghao Liu, Xinze Li, Yukun Yan, Shuo Wang, Yu Gu, Minghe Yu, Zhiyuan Liu, Ge Yu:
Enhancing the Code Debugging Ability of LLMs via Communicative Agent Based Data Refinement. CoRR abs/2408.05006 (2024) - [i37]Cheng Gao, Chaojun Xiao, Zhenghao Liu, Huimin Chen, Zhiyuan Liu, Maosong Sun:
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs. CoRR abs/2410.06581 (2024) - [i36]Ruobing Wang, Daren Zha, Shi Yu, Qingfei Zhao, Yuxuan Chen, Yixuan Wang, Shuo Wang, Yukun Yan, Zhenghao Liu, Xu Han, Zhiyuan Liu, Maosong Sun:
Retriever-and-Memory: Towards Adaptive Note-Enhanced Retrieval-Augmented Generation. CoRR abs/2410.08821 (2024) - [i35]Shi Yu, Chaoyue Tang, Bokai Xu, Junbo Cui, Junhao Ran, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun:
VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents. CoRR abs/2410.10594 (2024) - [i34]Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang, Shi Yu, Zheni Zeng, Hao Chen, Ge Yu, Zhiyuan Liu, Maosong Sun, Chenyan Xiong:
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards. CoRR abs/2410.13509 (2024) - [i33]Xinze Li, Hanbin Wang, Zhenghao Liu, Shi Yu, Shuo Wang, Yukun Yan, Yukai Fu, Yu Gu, Ge Yu:
Building A Coding Assistant via the Retrieval-Augmented Language Model. CoRR abs/2410.16229 (2024) - [i32]Zheni Zeng, Yuxuan Chen, Shi Yu, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun:
KBAlign: Efficient Self Adaptation on Specific Knowledge Bases. CoRR abs/2411.14790 (2024) - 2023
- [j2]Liner Yang, Xin Liu, Tianxin Liao, Zhenghao Liu, Mengyan Wang, Xuezhi Fang, Erhong Yang:
Is Chinese Spelling Check ready? Understanding the correction behavior in real-world scenarios. AI Open 4: 183-192 (2023) - [c23]Ruining Chong, Cunliang Kong, Liu Wu, Zhenghao Liu, Ziye Jin, Liner Yang, Yange Fan, Hanghang Fan, Erhong Yang:
Leveraging Prefix Transfer for Multi-Intent Text Revision. ACL (2) 2023: 1219-1228 - [c22]Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu:
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data. ACL (Findings) 2023: 11560-11574 - [c21]Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu:
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases. CIKM 2023: 1534-1544 - [c20]Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu:
Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval. ICLR 2023 - [c19]Shi Yu, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
OpenMatch-v2: An All-in-one Multi-Modality PLM-based Information Retrieval Toolkit. SIGIR 2023: 3160-3164 - [i31]Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu:
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network. CoRR abs/2303.06213 (2023) - [i30]Shi Yu, Chenghao Fan, Chenyan Xiong, David Jin, Zhiyuan Liu, Zhenghao Liu:
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval. CoRR abs/2305.14685 (2023) - [i29]Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu:
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data. CoRR abs/2305.19912 (2023) - [i28]Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu:
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases. CoRR abs/2308.14029 (2023) - [i27]Cheng Qian, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model. CoRR abs/2310.05155 (2023) - [i26]Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu:
Unlock Multi-Modal Capability of Dense Retrieval via Visual Module Plugin. CoRR abs/2310.14037 (2023) - [i25]Peixuan Han, Zhenghao Liu, Zhiyuan Liu, Chenyan Xiong:
Distributionally Robust Unsupervised Dense Retrieval Training on Web Graphs. CoRR abs/2310.16605 (2023) - [i24]Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu:
Modeling User Viewing Flow using Large Language Models for Article Recommendation. CoRR abs/2311.07619 (2023) - [i23]Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu:
INTERVENOR: Prompt the Coding Ability of Large Language Models with the Interactive Chain of Repairing. CoRR abs/2311.09868 (2023) - 2022
- [c18]Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li:
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder. EMNLP 2022: 5692-5698 - [c17]Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu:
P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. SIGIR 2022: 1956-1962 - [i22]Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu:
P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. CoRR abs/2205.01886 (2022) - [i21]Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li:
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder. CoRR abs/2205.03284 (2022) - [i20]Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu:
Universal Multi-Modality Retrieval with One Unified Embedding Space. CoRR abs/2209.00179 (2022) - 2021
- [c16]Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett:
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision. ACL/IJCNLP (1) 2021: 5030-5043 - [c15]Huiyuan Xie, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Ann A. Copestake:
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling. EMNLP (Findings) 2021: 1684-1690 - [c14]Yizhi Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
More Robust Dense Retrieval with Contrastive Dual Learning. ICTIR 2021: 287-296 - [c13]Zhenghao Liu, Xiaoyuan Yi, Maosong Sun, Liner Yang, Tat-Seng Chua:
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction. NAACL-HLT 2021: 5441-5452 - [c12]Si Sun, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Jie Bao:
Capturing Global Informativeness in Open Domain Keyphrase Extraction. NLPCC (2) 2021: 275-287 - [c11]Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu:
Few-Shot Conversational Dense Retrieval. SIGIR 2021: 829-838 - [c10]Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu, Maosong Sun:
OpenMatch: An Open Source Library for Neu-IR Research. SIGIR 2021: 2531-2535 - [i19]Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu:
OpenMatch: An Open-Source Package for Information Retrieval. CoRR abs/2102.00166 (2021) - [i18]Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu:
Few-Shot Conversational Dense Retrieval. CoRR abs/2105.04166 (2021) - [i17]Zhenghao Liu, Xiaoyuan Yi, Maosong Sun, Liner Yang, Tat-Seng Chua:
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction. CoRR abs/2105.04443 (2021) - [i16]Yizhi Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
More Robust Dense Retrieval with Contrastive Dual Learning. CoRR abs/2107.07773 (2021) - [i15]Huiyuan Xie, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Ann A. Copestake:
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling. CoRR abs/2109.04562 (2021) - [i14]Yingying Wang, Cunliang Kong, Liner Yang, Yijun Wang, Xiaorong Lu, Renfen Hu, Shan He, Zhenghao Liu, Yun Chen, Erhong Yang, Maosong Sun:
YACLC: A Chinese Learner Corpus with Multidimensional Annotation. CoRR abs/2112.15043 (2021) - 2020
- [c9]Houyu Zhang, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs. ACL 2020: 2031-2043 - [c8]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Fine-grained Fact Verification with Kernel Graph Attention Network. ACL 2020: 7342-7351 - [c7]Zhenghao Liu, Chenyan Xiong, Zhuyun Dai, Si Sun, Maosong Sun, Zhiyuan Liu:
Generalizing Open Domain Fact Extraction and Verification to COVID-FACT thorough In-Domain Language Modeling. EMNLP (Findings) 2020: 2395-2400 - [c6]Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Peng Li, Maosong Sun, Zhiyuan Liu:
Coreferential Reasoning Learning for Language Representation. EMNLP (1) 2020: 7170-7186 - [c5]Xiaoyuan Yi, Zhenghao Liu, Wenhao Li, Maosong Sun:
Text Style Transfer via Learning Style Instance Supported Latent Space. IJCAI 2020: 3801-3807 - [c4]Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Selective Weak Supervision for Neural Information Retrieval. WWW 2020: 474-485 - [i13]Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Selective Weak Supervision for Neural Information Retrieval. CoRR abs/2001.10382 (2020) - [i12]Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Maosong Sun, Zhiyuan Liu:
Coreferential Reasoning Learning for Language Representation. CoRR abs/2004.06870 (2020) - [i11]Si Sun, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Jie Bao:
Joint Keyphrase Chunking and Salience Ranking with BERT. CoRR abs/2004.13639 (2020) - [i10]Cunliang Kong, Liner Yang, Tianzuo Zhang, Qinan Fan, Zhenghao Liu, Yun Chen, Erhong Yang:
Toward Cross-Lingual Definition Generation for Language Learners. CoRR abs/2010.05533 (2020) - [i9]Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett:
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search. CoRR abs/2011.01580 (2020) - [i8]Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett:
Meta Adaptive Neural Ranking with Contrastive Synthetic Supervision. CoRR abs/2012.14862 (2020)
2010 – 2019
- 2019
- [c3]Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun:
DocRED: A Large-Scale Document-Level Relation Extraction Dataset. ACL (1) 2019: 764-777 - [c2]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Explore Entity Embedding Effectiveness in Entity Retrieval. CCL 2019: 105-116 - [i7]Yifan Qiao, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Understanding the Behaviors of BERT in Ranking. CoRR abs/1904.07531 (2019) - [i6]Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun:
DocRED: A Large-Scale Document-Level Relation Extraction Dataset. CoRR abs/1906.06127 (2019) - [i5]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Explore Entity Embedding Effectiveness in Entity Retrieval. CoRR abs/1908.10554 (2019) - [i4]Zhenghao Liu, Chenyan Xiong, Maosong Sun:
Kernel Graph Attention Network for Fact Verification. CoRR abs/1910.09796 (2019) - [i3]Deming Ye, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Maosong Sun:
Multi-Paragraph Reasoning with Knowledge-enhanced Graph Neural Network. CoRR abs/1911.02170 (2019) - [i2]Houyu Zhang, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
Conversation Generation with Concept Flow. CoRR abs/1911.02707 (2019) - 2018
- [c1]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval. ACL (1) 2018: 2395-2405 - [i1]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval. CoRR abs/1805.07591 (2018) - 2017
- [j1]Liner Yang, Maosong Sun, Yong Cheng, Jiacheng Zhang, Zhenghao Liu, Huan-Bo Luan, Yang Liu:
Neural Parse Combination. J. Comput. Sci. Technol. 32(4): 749-757 (2017)
Coauthor Index
[e1] [c47] [c46] [c43] [c42] [c41] [c40] [c37] [i73] [i71] [i66] [i65] [i63] [i61] [i60] [i59] [i58] [i57] [i50] [c34] [c33] [c32] [c31] [c29] [c27] [c25] [i49] [i48] [i46] [i44] [i42] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i32] [c22] [c21] [c20] [c19] [i30] [i29] [i28] [i27] [i26] [i25] [i23] [c18] [c17] [i22] [i21] [i20] [c16] [c15] [c14] [c12] [c11] [c10] [i19] [i18] [i16] [i15] [c9] [c8] [c7] [c6] [c4] [i13] [i12] [i11] [i9] [i8] [c3] [c2] [i7] [i6] [i5] [i3] [i2] [c1] [i1]
[e1] [c47] [c46] [c43] [c42] [c41] [c37] [i73] [i71] [i69] [i68] [i66] [i65] [i63] [i61] [i60] [i59] [i58] [i57] [i55] [i52] [i50] [c33] [c32] [c27] [i49] [i48] [i47] [i42] [i40] [i39] [i37] [i36] [i35] [i34] [i32] [c13] [c10] [i17] [i14] [c8] [c7] [c6] [c5] [i12] [c3] [c2] [i6] [i5] [i4] [i3] [c1] [i1] [j1]
[j6] [j4] [c47] [c45] [c44] [c43] [c40] [c39] [c38] [c37] [i73] [i71] [i70] [i69] [i68] [i67] [i66] [i64] [i63] [i62] [i61] [i56] [i54] [i52] [i51] [j3] [c36] [c35] [c34] [c31] [c30] [c26] [c24] [i46] [i44] [i43] [i41] [i38] [i34] [i33] [c22] [c21] [c20] [i31] [i29] [i28] [i26] [i24] [i23] [c17] [i22] [i20]
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