东北大学信息检索实验室 Northeastern University Information Retrieval Lab

Research

ALL

Conference

LegalΔ: Enhancing Legal Reasoning in LLMs via Reinforcement Learning with Chain-of-Thought Guided Information Gain
LegalΔ: Enhancing Legal Reasoning in LLMs via Reinforcement Learning with Chain-of-Thought Guided Information Gain
Xin Dai, Buqiang Xu, Zhenghao Liu, Yukun Yan, Huiyuan Xie, Xiaoyuan Yi, Shuo Wang, Ge Yu
Proceedings of ICASSP  ·  2026CCF-B
EditMem: Enhancing Multi-Hop Fact Verification via Editable Memory
EditMem: Enhancing Multi-Hop Fact Verification via Editable Memory
Yuqing Lan, Zhenghao Liu, Yu Gu, Ge Yu
Proceedings of ICASSP  ·  2026CCF-B
LISRec: Modeling User Preferences with Learned Item Shortcuts for Sequential Recommendation
LISRec: Modeling User Preferences with Learned Item Shortcuts for Sequential Recommendation
Haidong Xin, Zhenghao Liu, Sen Mei, Yukun Yan, Shi Yu, Shuo Wang, Zulong Chen, Yu Gu, Ge Yu, Chenyan Xiong
Proceedings of KDD  ·  2026CCF-A
Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation
Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation
Chunyi Peng, Zhipeng Xu, Zhenghao Liu, Yishan Li, Yukun Yan, Shuo Wang, Yu Gu, Minghe Yu, Ge Yu, Maosong Sun
Proceedings of SIGIR  ·  2026CCF-A
ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Grained Alignment
ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Grained Alignment
Hao Yang, Yifan Ji, Zhipeng Xu, Zhenghao Liu, Yukun Yan, Zulong Chen, Shuo Wang, Yu Gu, Ge Yu
Proceedings of SIGIR  ·  2026CCF-A
LexRel: Benchmarking Legal Relation Extraction for Chinese Civil Cases
LexRel: Benchmarking Legal Relation Extraction for Chinese Civil Cases
Yida Cai, Ranjuexiao Hu, Huiyuan Xie, Chenyang Li, Yun Liu, Yuxiao Ye, Zhenghao Liu, Weixing Shen, Zhiyuan Liu
Proceedings of ACL  ·  2026CCF-A
Long-Chain Reasoning Distillation via Adaptive Prefix Alignment
Long-Chain Reasoning Distillation via Adaptive Prefix Alignment
Zhenghao Liu, Zhuoyang Wu, Xinze Li, Yukun Yan, Shuo Wang, Zulong Chen, Yu Gu, Ge Yu, Maosong Sun
Proceedings of ACL  ·  2026CCF-A
Towards Efficient and Effective Diffusion Language Model Inference via Semantic-Aware Adaptive Denoising
Towards Efficient and Effective Diffusion Language Model Inference via Semantic-Aware Adaptive Denoising
Fan Li, Yu Gu, Zhigang Wang, Fangling Leng, Zhenghao Liu, Ge Yu
Proceedings of ACL  ·  2026CCF-A
Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic Toolchains
Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic Toolchains
Yuqi Xiong, Chunyi Peng, Zhipeng Xu, Zhenghao Liu, Zulong Chen, Yukun Yan, Shuo Wang, Yu Gu, Ge Yu
Proceedings of ACL (Findings)  ·  2026CCF-A
Revealing the Attention Floating Mechanism in Masked Diffusion Models
Revealing the Attention Floating Mechanism in Masked Diffusion Models
Xin Dai, Pengcheng Huang, Zhenghao Liu, Shuo Wang, Yukun Yan, Chaojun Xiao, Yu Gu, Ge Yu, Maosong Sun
Proceedings of ACL (Findings)  ·  2026CCF-A
MetaMem: Evolving Meta-Memory for Knowledge Utilization through Self-Reflective Symbolic Optimization
MetaMem: Evolving Meta-Memory for Knowledge Utilization through Self-Reflective Symbolic Optimization
Haidong Xin, Xinze Li, Zhenghao Liu, Yukun Yan, Shuo Wang, Cheng Yang, Yu Gu, Ge Yu, Maosong Sun
Proceedings of ACL (Findings)  ·  2026CCF-A
HqeKV: Towards Hybrid Quantization and Eviction for KV Cache in Long-Context LLM Inference
HqeKV: Towards Hybrid Quantization and Eviction for KV Cache in Long-Context LLM Inference
He Wang, Yu Gu, Fangfang Li, Zhigang Wang, Zhenghao Liu, Ning Wang, Xiaohua Li, Ge Yu
Proceedings of ACL (Findings)  ·  2026CCF-A
Empirical Analysis of Decoding Biases in Masked Diffusion Models
Empirical Analysis of Decoding Biases in Masked Diffusion Models
Pengcheng Huang, Tianming Liu, Zhenghao Liu, Yukun Yan, Shuo Wang, Tong Xiao, Zulong Chen, Maosong Sun
Proceedings of ACL  ·  2026CCF-A
UNIKIE-BENCH: Benchmarking Large Multimodal Models for Key Information Extraction in Visual Documents
UNIKIE-BENCH: Benchmarking Large Multimodal Models for Key Information Extraction in Visual Documents
Yifan Ji, Zhipeng Xu, Zhenghao Liu, Zulong Chen, Qian Zhang, Zhibo Yang, Junyang Lin, Yu Gu, Ge Yu, Maosong Sun
Proceedings of ACL  ·  2026CCF-A
Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection
Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection
Zhuoyang Wu, Xinze Li, Zhenghao Liu, Yukun Yan, Zhiyuan Liu, Minghe Yu, Cheng Yang, Yu Gu, Ge Yu, Maosong Sun
Proceedings of ACL (Findings)  ·  2026CCF-A
Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization
Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization
Shaohua Duan, Pengcheng Huang, Xinze Li, Zhenghao Liu, Xiaoyuan Yi, Yukun Yan, Shuo Wang, Yu Gu, Ge Yu, Maosong Sun
Proceedings of ACL  ·  2026CCF-A
Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
Shuliang Liu, Zhipeng Xu, Zhenghao Liu, Yukun Yan, Minghe Yu, Yu Gu, Chong Chen, Huiyuan Xie, Ge Yu
Proceedings of ACL (Findings)  ·  2026CCF-A
A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings
A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings
Xiaoang Xu, Shuo Wang, Xu Han, Zhenghao Liu, Huijia Wu, Peipei Li, Zhiyuan Liu, Maosong Sun, Zhaofeng He
Proceedings of NeurIPS  ·  2025CCF-A
ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
Pengcheng Huang, Zhenghao Liu, Yukun Yan, Haiyan Zhao, Xiaoyuan Yi, Hao Chen, Zhiyuan Liu, Maosong Sun, Tong Xiao, Ge Yu, Chenyan Xiong
Proceedings of NeurIPS  ·  2025CCF-A
Advancing llm reasoning generalists with preference trees
Advancing llm reasoning generalists with preference trees
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
Proceedings of ICLR  ·  2025CCF-A
VisRAG: Vision-based retrieval-augmented generation on multi-modality documents
VisRAG: Vision-based retrieval-augmented generation on multi-modality documents
Shi Yu, Chaoyue Tang, Bokai Xu, Junbo Cui, Junhao Ran, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun
Proceedings of ICLR  ·  2025CCF-A
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang, Shi Yu, Zheni Zeng, Hao Chen, Ge Yu, Zhiyuan Liu, Maosong Sun, Chenyan Xiong
Proceedings of ICLR  ·  2025CCF-A
COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis
COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis
Weiqing Yang, Hanbin Wang, Zhenghao Liu, Xinze Li, Yukun Yan, Shuo Wang, Yu Gu, Minghe Yu, Zhiyuan Liu, Ge Yu
Proceedings of NAACL (Findings)  ·  2025CCF-B
Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph
Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph
Qiushi Xiong, Zhipeng Xu, Zhenghao Liu, Mengjia Wang, Zulong Chen, Yue Sun, Yu Gu, Xiaohua Li, Ge Yu
Proceedings of SIGIR  ·  2025CCF-A
DeepNote: Note-Centric Deep Retrieval-Augmented Generation
DeepNote: Note-Centric Deep Retrieval-Augmented Generation
Ruobing Wang, Qingfei Zhao, Yukun Yan, Daren Zha, Yuxuan Chen, Shi Yu, Zhenghao Liu, Yixuan Wang, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun
Proceedings of EMNLP (Findings)  ·  2025CCF-B
KBAlign: Efficient Self Adaptation on Specific Knowledge Bases
KBAlign: Efficient Self Adaptation on Specific Knowledge Bases
Zheni Zeng, Yuxuan Chen, Shi Yu, Ruobing Wang, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun
Proceedings of EMNLP (Findings)  ·  2025CCF-B
PersLLM: A Personified Training Approach for Large Language Models
PersLLM: A Personified Training Approach for Large Language Models
Zheni Zeng, Jiayi Chen, Huimin Chen, Yukun Yan, Yuxuan Chen, Zhenghao Liu, Zhiyuan Liu, Maosong Sun
Proceedings of EMNLP (Findings)  ·  2025CCF-B
ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation
ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation
Hao Chen, Yukun Yan, Sen Mei, Wanxiang Che, Zhenghao Liu, Qi Shi, Xinze Li, Yuchun Fan, Pengcheng Huang, Qiushi Xiong, Zhiyuan Liu, Maosong Sun
Proceedings of EMNLP (Findings)  ·  2025CCF-B
ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization
ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization
Zhensheng Jin, Xinze Li, Yifan Ji, Chunyi Peng, Zhenghao Liu, Qi Shi, Yukun Yan, Shuo Wang, Furong Peng, Ge Yu
Proceedings of EMNLP (Findings)  ·  2025CCF-B
ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance
ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance
Sijia Yao, Pengcheng Huang, Zhenghao Liu, Yu Gu, Yukun Yan, Shi Yu, Ge Yu
Proceedings of EMNLP  ·  2025CCF-B
RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework
RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework
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
Proceedings of ACL  ·  2025CCF-A
Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
Shuliang Liu, Xinze Li, Zhenghao Liu, Yukun Yan, Cheng Yang, Zheni Zeng, Zhiyuan Liu, Maosong Sun, Ge Yu
Proceedings of ACL (Findings)  ·  2025CCF-A
Rankcot: Refining knowledge for retrieval-augmented generation through ranking chain-of-thoughts
Rankcot: Refining knowledge for retrieval-augmented generation through ranking chain-of-thoughts
Mingyan Wu, Zhenghao Liu, Yukun Yan, Xinze Li, Shi Yu, Zheni Zeng, Yu Gu, Ge Yu
Proceedings of ACL  ·  2025CCF-A
Exploring the Potential of Dimension Reduction in Building Efficient Dense Retrieval Systems
Exploring the Potential of Dimension Reduction in Building Efficient Dense Retrieval Systems
Zhipeng Xu, Zhenghao Liu, Yu Gu, Ge Yu
Proceedings of CCIR  ·  2024
Chameleon: Towards Update-Efficient Learned Indexing for Locally Skewed Data
Chameleon: Towards Update-Efficient Learned Indexing for Locally Skewed Data
Na Guo, Yaqi Wang, Wenli Sun, Yu Gu, Jianzhong Qi, Zhenghao Liu, Xiufeng Xia, Ge Yu
Proceedings of ICDE  ·  2024CCF-A
MCTS: A Multi-Reference Chinese Text Simplification Dataset
MCTS: A Multi-Reference Chinese Text Simplification Dataset
Ruining Chong, Luming Lu, Liner Yang, Jinran Nie, Zhenghao Liu, Shuo Wangl, Shuhan Zhou, Yaoxin Li, Erhong Yang
Proceedings of COLING  ·  2024CCF-B
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval
Shi Yu, Chenghao Fan, Chenyan Xiong, David Jin, Zhiyuan Liu, Zhenghao Liu
Proceedings of COLING  ·  2024CCF-B
Toolink: Linking toolkit creation and using through chain-of-solving on open-source model
Toolink: Linking toolkit creation and using through chain-of-solving on open-source model
Cheng Qian, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu
Proceedings of NAACL  ·  2024CCF-B
Modeling User Viewing Flow Using Large Language Models for Article Recommendation
Modeling User Viewing Flow Using Large Language Models for Article Recommendation
Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu
Proceedings of WWW  ·  2024CCF-A
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs
Cheng Gao, Chaojun Xiao, Zhenghao Liu, Huimin Chen, Zhiyuan Liu, Maosong Sun
Proceedings of EMNLP  ·  2024CCF-B
MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization
MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization
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
Proceedings of ACL (Findings)  ·  2024CCF-A
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair
Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu
Proceedings of ACL (Findings)  ·  2024CCF-A
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin
Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu
Proceedings of ACL  ·  2024CCF-A
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset
Haoyu Wang, Shuo Wang, Yukun Yan, Xujia Wang, Zhiyu Yang, Yuzhuang Xu, Zhenghao Liu, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun
Proceedings of ACL  ·  2024CCF-A
Cleaner Pretraining Corpus Curation with Neural Web Scraping
Cleaner Pretraining Corpus Curation with Neural Web Scraping
Zhipeng Xu, Zhenghao Liu, Yukun Yan, Zhiyuan Liu, Chenyan Xiong, Ge Yu
Proceedings of ACL  ·  2024CCF-A
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases
Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu
Proceedings of CIKM  ·  2023CCF-B
Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval
Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval
Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu
Proceedings of ICLR  ·  2023CCF-A
Openmatch-v2: An all-in-one multi-modality plm-based information retrieval toolkit
Openmatch-v2: An all-in-one multi-modality plm-based information retrieval toolkit
Shi Yu, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu
Proceedings of SIGIR  ·  2023CCF-A
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data
Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu
Proceedings of ACL (Findings)  ·  2023CCF-A
Leveraging Prefix Transfer for Multi-Intent Text Revision
Leveraging Prefix Transfer for Multi-Intent Text Revision
Ruining Chong, Cunliang Kong, Liu Wu, Zhenghao Liu, Ziye Jin, Liner Yang, Yange Fan, Hanghang Fan, Erhong Yang
Proceedings of ACL  ·  2023CCF-A
P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning
P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning
Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu
Proceedings of SIGIR  ·  2022CCF-A
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder
Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li
Proceedings of EMNLP  ·  2022CCF-B
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction
Zhenghao Liu, Xiaoyuan Yi, Maosong Sun, Liner Yang, Tat-Seng Chua
Proceedings of NAACL  ·  2021CCF-B
More robust dense retrieval with contrastive dual learning
More robust dense retrieval with contrastive dual learning
Yizhi Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu
Proceedings of ICTIR  ·  2021
OpenMatch: An Open Source Library for Neu-IR Research
OpenMatch: An Open Source Library for Neu-IR Research
Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu, Maosong Sun
Proceedings of SIGIR  ·  2021CCF-A
Few-Shot Conversational Dense Retrieval
Few-Shot Conversational Dense Retrieval
Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu
Proceedings of SIGIR  ·  2021CCF-A
Capturing Global Informativeness in Open Domain Keyphrase Extraction
Capturing Global Informativeness in Open Domain Keyphrase Extraction
Si Sun, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Jie Bao
Proceedings of NLPCC  ·  2021CCF-C
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling
Huiyuan Xie, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Ann Copestake
Proceedings of EMNLP (Findings)  ·  2021CCF-B
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision
Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett
Proceedings of ACL-IJCNLP  ·  2021CCF-A
Text Style Transfer via Learning Style Instance Supported Latent Space
Text Style Transfer via Learning Style Instance Supported Latent Space
Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu
Proceedings of IJCAI  ·  2020CCF-A
Selective Weak Supervision for Neural Information Retrieval
Selective Weak Supervision for Neural Information Retrieval
Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu
Proceedings of WWW  ·  2020CCF-A
Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language Modeling
Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language Modeling
Zhenghao Liu, Chenyan Xiong, Zhuyun Dai, Si Sun, Maosong Sun, Zhiyuan Liu
Proceedings of EMNLP (Findings)  ·  2020CCF-B
Coreferential Reasoning Learning for Language Representation
Coreferential Reasoning Learning for Language Representation
Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Peng Li, Maosong Sun, Zhiyuan Liu
Proceedings of EMNLP  ·  2020CCF-B
Fine-grained Fact Verification with Kernel Graph Attention Network
Fine-grained Fact Verification with Kernel Graph Attention Network
Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu
Proceedings of ACL  ·  2020CCF-A
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs
Houyu Zhang, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu
Proceedings of ACL  ·  2020CCF-A
Explore Entity Embedding Effectiveness in Entity Retrieval
Explore Entity Embedding Effectiveness in Entity Retrieval
Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu
Proceedings of CCL  ·  2019
DocRED: A Large-Scale Document-Level Relation Extraction Dataset
DocRED: A Large-Scale Document-Level Relation Extraction Dataset
Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun
Proceedings of ACL  ·  2019CCF-A
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval
Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu
Proceedings of ACL  ·  2018CCF-A

Journal

Knowledge Intensive Agents
Knowledge Intensive Agents
Zhenghao Liu, Pengcheng Huang, Zhipeng Xu, Xinze Li, Shuliang Liu, Chunyi Peng, Haidong Xin, Yukun Yan, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Yu Gu, Ge Yu
Journal of AI Open  ·  2026
Building A Coding Assistant via the Retrieval-Augmented Language Model
Building A Coding Assistant via the Retrieval-Augmented Language Model
Xinze Li, Hanbin Wang, Zhenghao Liu, Shi Yu, Shuo Wang, Yukun Yan, Yukai Fu, Yu Gu, Ge Yu
Journal of ACM Transactions on Information Systems (TOIS)  ·  2024CCF-A
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network
Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S Jensen, Ge Yu
Journal of IEEE Transactions on Knowledge and Data Engineering (TKDE)  ·  2024CCF-A
Tailored Definitions With Easy Reach: Complexity-Controllable Definition Generation
Tailored Definitions With Easy Reach: Complexity-Controllable Definition Generation
Liner Yang, Jiaxin Yuan, Cunliang Kong, Jingsi Yu, Ruining Chong, Zhenghao Liu, Erhong Yang
Journal of IEEE Transactions on Big Data (TBD)  ·  2024CCF-C
Multi-Evidence based Fact Verification via A Confidential Graph Neural Network
Multi-Evidence based Fact Verification via A Confidential Graph Neural Network
Yuqing Lan, Zhenghao Liu, Yu Gu, Xiaoyuan Yi, Xiaohua Li, Liner Yang, Ge Yu
Journal of IEEE Transactions on Big Data (TBD)  ·  2024CCF-C
Neural Parse Combination
Neural Parse Combination
Liner Yang, Maosong Sun, Jiacheng Zhang, Zhenghao Liu, Huanbo Luan, Yang Liu
Journal of Computer Science and Technology (JCST)  ·  2017CCF-B