gMission: A General Spatial Crowdsourcing Platform. - Zhao Chen 003; Rui Fu; Ziyuan Zhao; Zheng Liu 011; Leihao Xia; Lei Chen 002; Peng Cheng 003; Caleb Chen Cao; Yongxin Tong; Chen Jason Zhang (Proc. VLDB Endow., 2014)

Cleaning uncertain data with a noisy crowd. - Chen Jason Zhang; Lei Chen 002; Yongxin Tong; Zheng Liu 011 (ICDE, 2015)

Mutual benefit aware task assignment in a bipartite labor market. - Zheng Liu 011; Lei Chen 002 (ICDE, 2016)

Tuning Crowdsourced Human Computation. - Caleb Chen Cao; Zheng Liu 011; Lei Chen 002; H. V. Jagadish (CoRR, 2016)

Tuning Crowdsourced Human Computation. - Caleb Chen Cao; Jiayang Tu; Zheng Liu 011; Lei Chen 002; H. V. Jagadish (ICDE, 2017)

Speaker Direction-of-Arrival Estimation Based on Frequency-Independent Beampattern. - Feng Guo 002; Yuhang Cao; Zheng Liu 011; Jiaen Liang; Baoqing Li; Xiaobing Yuan (INTERSPEECH, 2017)

Worker Recommendation for Crowdsourced Q&A Services: A Triple-Factor Aware Approach. - Zheng Liu 011; Lei Chen 002 (Proc. VLDB Endow., 2017)

Realtime Traffic Speed Estimation with Sparse Crowdsourced Data. - Zheng Liu 011; Lei Chen 002; Yongxin Tong (ICDE, 2018)

Context-aware Academic Collaborator Recommendation. - Zheng Liu 011; Xing Xie 001; Lei Chen 002 (KDD, 2018)

Neural News Recommendation with Long- and Short-term User Representations. - Mingxiao An; Fangzhao Wu; Chuhan Wu; Kun Zhang 015; Zheng Liu 011; Xing Xie 001 (ACL (1), 2019)

Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network. - Zheng Liu 011; Yu Xing; Fangzhao Wu; Mingxiao An; Xing Xie 001 (IJCAI, 2019)

A Novel User Representation Paradigm for Making Personalized Candidate Retrieval. - Zheng Liu 011; Yu Xing; Jianxun Lian; Defu Lian; Ziyao Li; Xing Xie 001 (CoRR, 2019)

Fine-grained Interest Matching for Neural News Recommendation. - Heyuan Wang 001; Fangzhao Wu; Zheng Liu 011; Xing Xie 001 (ACL, 2020)

Sampling-Decomposable Generative Adversarial Recommender. - Binbin Jin; Defu Lian; Zheng Liu 011; Qi Liu 003; Jianhui Ma; Xing Xie 001; Enhong Chen (NeurIPS, 2020)

Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. - Zheng Liu 011; Jianxun Lian; Junhan Yang; Defu Lian; Xing Xie 001 (SIGIR, 2020)

Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. - Kangzhi Zhao; Xiting Wang; Yuren Zhang; Li Zhao 007; Zheng Liu 011; Chunxiao Xing; Xing Xie 001 (SIGIR, 2020)

LightRec: A Memory and Search-Efficient Recommender System. - Defu Lian; Haoyu Wang 004; Zheng Liu 011; Jianxun Lian; Enhong Chen; Xing Xie 001 (WWW, 2020)

Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search. - Shuxian Bi; Chaozhuo Li; Xiao Han; Zheng Liu 011; Xing Xie 001; Haizhen Huang; Zengxuan Wen (EMNLP (Findings), 2021)

Matching-oriented Embedding Quantization For Ad-hoc Retrieval. - Shitao Xiao; Zheng Liu 011; Yingxia Shao; Defu Lian; Xing Xie 001 (EMNLP (1), 2021)

Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning. - Danyang Liu; Jianxun Lian; Zheng Liu 011; Xiting Wang; Guangzhong Sun; Xing Xie 001 (KDD, 2021)

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph. - Junhan Yang; Zheng Liu 011; Shitao Xiao; Chaozhuo Li; Defu Lian; Sanjay Agrawal 001; Amit Singh; Guangzhong Sun; Xing Xie 001 (NeurIPS, 2021)

Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation. - Xinyan Fan; Zheng Liu 011; Jianxun Lian; Wayne Xin Zhao; Xing Xie 001; Ji-Rong Wen (SIGIR, 2021)

AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. - Chaozhuo Li; Bochen Pang; Yuming Liu; Hao Sun 015; Zheng Liu 011; Xing Xie 001; Tianqi Yang; Yanling Cui; Liangjie Zhang; Qi Zhang 066 (SIGIR, 2021)

Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations. - Jianxun Lian; Iyad Batal; Zheng Liu 011; Akshay Soni; Eun Yong Kang; Yajun Wang 001; Xing Xie 001 (CoRR, 2021)

Training Microsoft News Recommenders with Pretrained Language Models in the Loop. - Shitao Xiao; Zheng Liu 011; Yingxia Shao; Tao Di; Xing Xie 001 (CoRR, 2021)

Search-oriented Differentiable Product Quantization. - Shitao Xiao; Zheng Liu 011; Yingxia Shao; Defu Lian; Xing Xie 001 (CoRR, 2021)

Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks. - Junhan Yang; Zheng Liu 011; Bowen Jin; Jianxun Lian; Defu Lian; Akshay Soni; Eun Yong Kang; Yajun Wang 001; Guangzhong Sun; Xing Xie 001 (CoRR, 2021)

GraphFormers: GNN-nested Language Models for Linked Text Representation. - Junhan Yang; Zheng Liu 011; Shitao Xiao; Chaozhuo Li; Guangzhong Sun; Xing Xie 001 (CoRR, 2021)

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. - Chaozhuo Li; Senzhang Wang; Zheng Liu 011; Xing Xie 001; Lei Chen 002; Philip S. Yu (CoRR, 2021)

Anisotropic Additive Quantization for Fast Inner Product Search. - Jin Zhang 035; Qi Liu 003; Defu Lian; Zheng Liu 011; Le Wu; Enhong Chen (AAAI, 2022)

Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding. - Zhaoye Fei; Yu Tian; Yongkang Wu; Xinyu Zhang 019; Yutao Zhu 001; Zheng Liu 011; Jiawen Wu 002; Dejiang Kong; Ruofei Lai; Zhao Cao; Zhicheng Dou; Xipeng Qiu (COLING, 2022)

RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder. - Shitao Xiao; Zheng Liu 011; Yingxia Shao; Zhao Cao (EMNLP, 2022)

Training Large-Scale News Recommenders with Pretrained Language Models in the Loop. - Shitao Xiao; Zheng Liu 011; Yingxia Shao; Tao Di; Bhuvan Middha; Fangzhao Wu; Xing Xie 001 (KDD, 2022)

Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search. - Jianjin Zhang; Zheng Liu 011; Weihao Han; Shitao Xiao; Ruicheng Zheng; Yingxia Shao; Hao Sun 015; Hanqing Zhu; Premkumar Srinivasan; Weiwei Deng; Qi Zhang 066; Xing Xie 001 (KDD, 2022)

Recommender Forest for Efficient Retrieval. - Chao Feng 008; Wuchao Li; Defu Lian; Zheng Liu 011; Enhong Chen (NeurIPS, 2022)

A Neural Corpus Indexer for Document Retrieval. - Yujing Wang; Yingyan Hou; Haonan Wang; Ziming Miao; Shibin Wu; Qi Chen 009; Yuqing Xia; Chengmin Chi; Guoshuai Zhao; Zheng Liu 011; Xing Xie 001; Hao Sun 015; et al. (NeurIPS, 2022)

Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. - Xinyan Fan; Jianxun Lian; Wayne Xin Zhao; Zheng Liu 011; Chaozhuo Li; Xing Xie 001 (SIGIR, 2022)

Forest-based Deep Recommender. - Chao Feng 008; Defu Lian; Zheng Liu 011; Xing Xie 001; Le Wu; Enhong Chen (SIGIR, 2022)

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. - Shitao Xiao; Zheng Liu 011; Weihao Han; Jianjin Zhang; Defu Lian; Yeyun Gong; Qi Chen 009; Fan Yang 024; Hao Sun 015; Yingxia Shao; Xing Xie 001 (SIGIR, 2022)

MINDSim: User Simulator for News Recommenders. - Xufang Luo; Zheng Liu 011; Shitao Xiao; Xing Xie 001; Dongsheng Li 002 (WWW, 2022)

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. - Shitao Xiao; Zheng Liu 011; Weihao Han; Jianjin Zhang; Yingxia Shao; Defu Lian; Chaozhuo Li; Hao Sun 015; Denvy Deng; Liangjie Zhang; Qi Zhang 066; Xing Xie 001 (WWW, 2022)

GateFormer: Speeding Up News Feed Recommendation with Input Gated Transformers. - Peitian Zhang; Zheng Liu 011 (CoRR, 2022)

Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search. - Jianjin Zhang; Zheng Liu 011; Weihao Han; Shitao Xiao; Ruicheng Zheng; Yingxia Shao; Hao Sun 015; Hanqing Zhu; Premkumar Srinivasan; Denvy Deng; Qi Zhang 066; Xing Xie 001 (CoRR, 2022)

A Mutually Reinforced Framework for Pretrained Sentence Embeddings. - Junhan Yang; Zheng Liu 011; Shitao Xiao; Jianxun Lian; Lijun Wu; Defu Lian; Guangzhong Sun; Xing Xie 001 (CoRR, 2022)

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. - Shitao Xiao; Zheng Liu 011; Weihao Han; Jianjin Zhang; Defu Lian; Yeyun Gong; Qi Chen 009; Fan Yang 024; Hao Sun 015; Yingxia Shao; Denvy Deng; Qi Zhang 001; et al. (CoRR, 2022)

RetroMAE: Pre-training Retrieval-oriented Transformers via Masked Auto-Encoder. - Zheng Liu 011; Yingxia Shao (CoRR, 2022)

A Neural Corpus Indexer for Document Retrieval. - Yujing Wang; Yingyan Hou; Haonan Wang; Ziming Miao; Shibin Wu; Hao Sun 015; Qi Chen 009; Yuqing Xia; Chengmin Chi; Guoshuai Zhao; Zheng Liu 011; Xing Xie 001; et al. (CoRR, 2022)

Pre-training for Information Retrieval: Are Hyperlinks Fully Explored? - Jiawen Wu 002; Xinyu Zhang 019; Yutao Zhu 001; Zheng Liu 011; Zikai Guo; Zhaoye Fei; Ruofei Lai; Yongkang Wu; Zhao Cao; Zhicheng Dou (CoRR, 2022)

Bi-Phase Enhanced IVFPQ for Time-Efficient Ad-hoc Retrieval. - Peitian Zhang; Zheng Liu 011 (CoRR, 2022)

RetroMAE v2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. - Shitao Xiao; Zheng Liu 011 (CoRR, 2022)

RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. - Zheng Liu 011; Shitao Xiao; Yingxia Shao; Zhao Cao (ACL (1), 2023)

Towards Efficient and Effective Transformers for Sequential Recommendation. - Wenqi Sun; Zheng Liu 011; Xinyan Fan; Ji-Rong Wen; Wayne Xin Zhao (DASFAA (2), 2023)

Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval. - Junhan Yang; Zheng Liu 011; Chaozhuo Li; Guangzhong Sun; Xing Xie 001 (EMNLP, 2023)

Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval. - Peitian Zhang; Zheng Liu 011; Shitao Xiao; Zhicheng Dou; Jing Yao (EMNLP, 2023)

Constructing Tree-based Index for Efficient and Effective Dense Retrieval. - Haitao Li 006; Qingyao Ai; Jingtao Zhan; Jiaxin Mao; Yiqun Liu 001; Zheng Liu 011; Zhao Cao (SIGIR, 2023)

LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval. - Chaofan Li; Zheng Liu 011; Shitao Xiao; Yingxia Shao; Defu Lian; Zhao Cao (SIGIR, 2023)

RecStudio: Towards a Highly-Modularized Recommender System. - Defu Lian; Xu Huang 008; Xiaolong Chen; Jin Chen 008; Xingmei Wang 001; Yankai Wang; Haoran Jin; Rui Fan; Zheng Liu 011; Le Wu; Enhong Chen (SIGIR, 2023)

Cooperative Retriever and Ranker in Deep Recommenders. - Xu Huang 008; Defu Lian; Jin Chen 008; Zheng Liu 011; Xing Xie 001; Enhong Chen (WWW, 2023)

WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus. - Hongjing Qian; Yutao Zhu 001; Zhicheng Dou; Haoqi Gu; Xinyu Zhang 019; Zheng Liu 011; Ruofei Lai; Zhao Cao; Jian-Yun Nie; Ji-Rong Wen (CoRR, 2023)

Term-Sets Can Be Strong Document Identifiers For Auto-Regressive Search Engines. - Peitian Zhang; Zheng Liu 011; Yujia Zhou 002; Zhicheng Dou; Zhao Cao (CoRR, 2023)

When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. - Jin Chen 008; Zheng Liu 011; Xu Huang 008; Chenwang Wu; Qi Liu 003; Gangwei Jiang; Yuanhao Pu; Yuxuan Lei; Xiaolong Chen; Xingmei Wang 001; Defu Lian; Enhong Chen (CoRR, 2023)

C-Pack: Packaged Resources To Advance General Chinese Embedding. - Shitao Xiao; Zheng Liu 011; Peitian Zhang; Niklas Muennighoff (CoRR, 2023)

Retrieve Anything To Augment Large Language Models. - Peitian Zhang; Shitao Xiao; Zheng Liu 011; Zhicheng Dou; Jian-Yun Nie (CoRR, 2023)

Making Large Language Models A Better Foundation For Dense Retrieval. - Chaofan Li; Zheng Liu 011; Shitao Xiao; Yingxia Shao (CoRR, 2023)

Reinforcement Routing on Proximity Graph for Efficient Recommendation. - Chao Feng 008; Defu Lian; Xiting Wang; Zheng Liu 011; Xing Xie 001; Enhong Chen (ACM Trans. Inf. Syst., 2023)

CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection. - Jing Yao; Zheng Liu 011; Junhan Yang; Zhicheng Dou; Xing Xie 001; Ji-Rong Wen (ACM Trans. Intell. Syst. Technol., 2023)

An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. - Yiqi Wang 001; Chaozhuo Li; Zheng Liu 011; Mingzheng Li; Jiliang Tang; Xing Xie 001; Lei Chen 002; Philip S. Yu (ACM Trans. Inf. Syst., 2023)

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. - Chaozhuo Li; Senzhang Wang; Jie Xu 015; Zheng Liu 011; Hao Wang 068; Xing Xie 001; Lei Chen 002; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. - Yutao Zhu 001; Peitian Zhang; Chenghao Zhang 001; Yifei Chen 001; Binyu Xie; Zheng Liu 011; Ji-Rong Wen; Zhicheng Dou (ACL (1), 2024)

M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation. - Jianlyu Chen; Shitao Xiao; Peitian Zhang; Kun Luo; Defu Lian; Zheng Liu 011 (ACL (Findings), 2024)

Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval. - Chaofan Li; Zheng Liu 011; Shitao Xiao; Yingxia Shao; Defu Lian (ACL (1), 2024)

Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models. - Kun Luo; Zheng Liu 011; Shitao Xiao; Tong Zhou; Yubo Chen 001; Jun Zhao 001; Kang Liu 001 (ACL (1), 2024)

Grounding Language Model with Chunking-Free In-Context Retrieval. - Hongjin Qian; Zheng Liu 011; Kelong Mao; Yujia Zhou 002; Zhicheng Dou (ACL (1), 2024)

LM-Cocktail: Resilient Tuning of Language Models via Model Merging. - Shitao Xiao; Zheng Liu 011; Peitian Zhang; Xingrun Xing (ACL (Findings), 2024)

A Multi-Task Embedder For Retrieval Augmented LLMs. - Peitian Zhang; Zheng Liu 011; Shitao Xiao; Zhicheng Dou; Jian-Yun Nie (ACL (1), 2024)

VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval. - Junjie Zhou 001; Zheng Liu 011; Shitao Xiao; Bo Zhao 015; Yongping Xiong (ACL (1), 2024)

Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization. - Shitong Duan; Xiaoyuan Yi; Peng Zhang 060; Yan Liu 002; Zheng Liu 011; Tun Lu; Xing Xie 001; Ning Gu (EMNLP (Findings), 2024)

Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment. - Kun Luo; Minghao Qin; Zheng Liu 011; Shitao Xiao; Jun Zhao 001; Kang Liu 001 (EMNLP, 2024)

RAG-Studio: Towards In-Domain Adaptation of Retrieval Augmented Generation Through Self-Alignment. - Kelong Mao; Zheng Liu 011; Hongjin Qian; Fengran Mo; Chenlong Deng; Zhicheng Dou (EMNLP (Findings), 2024)

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval. - Kelong Mao; Chenlong Deng; Haonan Chen 005; Fengran Mo; Zheng Liu 011; Tetsuya Sakai; Zhicheng Dou (EMNLP, 2024)

Boosting the Potential of Large Language Models with an Intelligent Information Assistant. - Yujia Zhou 002; Zheng Liu 011; Zhicheng Dou (NeurIPS, 2024)

C-Pack: Packed Resources For General Chinese Embeddings. - Shitao Xiao; Zheng Liu 011; Peitian Zhang; Niklas Muennighoff; Defu Lian; Jian-Yun Nie (SIGIR, 2024)

Generative Retrieval via Term Set Generation. - Peitian Zhang; Zheng Liu 011; Yujia Zhou 002; Zhicheng Dou; Fangchao Liu; Zhao Cao (SIGIR, 2024)

Metacognitive Retrieval-Augmented Large Language Models. - Yujia Zhou 002; Zheng Liu 011; Jiajie Jin; Jian-Yun Nie; Zhicheng Dou (WWW, 2024)

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. - Qi Chen 009; Xiubo Geng; Corby Rosset; Carolyn Buractaon; Jingwen Lu; Tao Shen 001; Kun Zhou 002; Chenyan Xiong; Yeyun Gong; Paul N. Bennett; Nick Craswell; Xing Xie 001; et al. (WWW (Companion Volume), 2024)

Information Retrieval Meets Large Language Models. - Zheng Liu 011; Yujia Zhou 002; Yutao Zhu 001; Jianxun Lian; Chaozhuo Li; Zhicheng Dou; Defu Lian; Jian-Yun Nie (WWW (Companion Volume), 2024)

Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon. - Peitian Zhang; Zheng Liu 011; Shitao Xiao; Ninglu Shao; Qiwei Ye; Zhicheng Dou (CoRR, 2024)

Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization. - Ninglu Shao; Shitao Xiao; Zheng Liu 011; Peitian Zhang (CoRR, 2024)

BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation. - Jianlv Chen; Shitao Xiao; Peitian Zhang; Kun Luo; Defu Lian; Zheng Liu 011 (CoRR, 2024)

BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models. - Kun Luo; Zheng Liu 011; Shitao Xiao; Kang Liu 001 (CoRR, 2024)

Extensible Embedding: A Flexible Multipler For LLM's Context Length. - Ninglu Shao; Shitao Xiao; Zheng Liu 011; Peitian Zhang (CoRR, 2024)

Understanding Privacy Risks of Embeddings Induced by Large Language Models. - Zhihao Zhu 002; Ninglu Shao; Defu Lian; Chenwang Wu; Zheng Liu 011; Yi Yang 042; Enhong Chen (CoRR, 2024)

Extending Llama-3's Context Ten-Fold Overnight. - Peitian Zhang; Ninglu Shao; Zheng Liu 011; Shitao Xiao; Hongjin Qian; Qiwei Ye; Zhicheng Dou (CoRR, 2024)

Are Long-LLMs A Necessity For Long-Context Tasks? - Hongjin Qian; Zheng Liu 011; Peitian Zhang; Kelong Mao; Yujia Zhou 002; Xu Chen 017; Zhicheng Dou (CoRR, 2024)

MLVU: A Comprehensive Benchmark for Multi-Task Long Video Understanding. - Junjie Zhou 001; Yan Shu; Bo Zhao 015; Boya Wu; Shitao Xiao; Xi Yang; Yongping Xiong; Bo Zhang; Tiejun Huang 001; Zheng Liu 011 (CoRR, 2024)

SEA-SQL: Semantic-Enhanced Text-to-SQL with Adaptive Refinement. - Chaofan Li; Yingxia Shao; Zheng Liu 011 (CoRR, 2024)

MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery. - Hongjin Qian; Peitian Zhang; Zheng Liu 011; Kelong Mao; Zhicheng Dou (CoRR, 2024)

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey. - Yujia Zhou 002; Yan Liu 002; Xiaoxi Li; Jiajie Jin; Hongjin Qian; Zheng Liu 011; Chaozhuo Li; Zhicheng Dou; Tsung-Yi Ho; Philip S. Yu (CoRR, 2024)

OmniGen: Unified Image Generation. - Shitao Xiao; Yueze Wang; Junjie Zhou 001; Huaying Yuan; Xingrun Xing; Ruiran Yan; Shuting Wang 002; Tiejun Huang 003; Zheng Liu 011 (CoRR, 2024)

Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding. - Yan Shu; Peitian Zhang; Zheng Liu 011; Minghao Qin; Junjie Zhou 001; Tie-Jun Huang 001; Bo Zhao 015 (CoRR, 2024)

Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. - Zheng Liu 011; Chenyuan Wu; Ninglu Shao; Shitao Xiao; Chaozhuo Li; Defu Lian (CoRR, 2024)

Elephant in the Room: Unveiling the Impact of Reward Model Quality in Alignment. - Yan Liu 002; Xiaoyuan Yi; Xiaokang Chen; Jing Yao; Jingwei Yi; Daoguang Zan; Zheng Liu 011; Xing Xie 001; Tsung-Yi Ho (CoRR, 2024)

Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMs. - Rui Pu; Chaozhuo Li; Rui Ha; Zejian Chen; Litian Zhang; Zheng Liu 011; Lirong Qiu; Xi Zhang 008 (CoRR, 2024)

AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant. - Yujia Zhou 002; Zheng Liu 011; Zhicheng Dou (CoRR, 2024)

Technical Report: Enhancing LLM Reasoning with Reward-guided Tree Search. - Jinhao Jiang; Zhipeng Chen 001; Yingqian Min; Jie Chen 007; Xiaoxue Cheng; Jiapeng Wang; Yiru Tang; Haoxiang Sun; Jia Deng; Wayne Xin Zhao; Zheng Liu 011; Dong Yan; et al. (CoRR, 2024)

Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems. - Yingqian Min; Zhipeng Chen 001; Jinhao Jiang; Jie Chen 007; Jia Deng; Yiwen Hu; Yiru Tang; Jiapeng Wang; Xiaoxue Cheng; Huatong Song; Wayne Xin Zhao; Zheng Liu 011; et al. (CoRR, 2024)

Boosting Long-Context Management via Query-Guided Activation Refilling. - Hongjin Qian; Zheng Liu 011; Peitian Zhang; Zhicheng Dou; Defu Lian (CoRR, 2024)

When large language models meet personalization: perspectives of challenges and opportunities. - Jin Chen 008; Zheng Liu 011; Xu Huang 008; Chenwang Wu; Qi Liu 003; Gangwei Jiang; Yuanhao Pu; Yuxuan Lei; Xiaolong Chen; Xingmei Wang 001; Kai Zheng 001; Defu Lian; et al. (World Wide Web (WWW), 2024)

MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning. - Liwen Zheng; Chaozhuo Li; Litian Zhang; Haoran Jia; Senzhang Wang; Zheng Liu 011; Xi Zhang 008 (AAAI, 2025)

MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval. - Junjie Zhou 001; Yongping Xiong; Zheng Liu 011; Ze Liu; Shitao Xiao; Yueze Wang; Bo Zhao 015; Chen Jason Zhang; Defu Lian (ACL (1), 2025)

AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark. - Jianlyu Chen; Nan Wang; Chaofan Li; Bo Wang; Shitao Xiao; Han Xiao; Hao Liao; Defu Lian; Zheng Liu 011 (ACL (1), 2025)

Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval. - Chaofan Li; Jianlyu Chen; Yingxia Shao; Chaozhuo Li; Quanqing Xu; Defu Lian; Zheng Liu 011 (ACL (1), 2025)

Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval. - Zheng Liu 011; Ze Liu; Zhengyang Liang; Junjie Zhou 001; Shitao Xiao; Chao Gao; Chen Jason Zhang; Defu Lian (ACL (1), 2025)

Boosting Long-Context Information Seeking via Query-Guided Activation Refilling. - Hongjin Qian; Zheng Liu 011; Peitian Zhang; Zhicheng Dou; Defu Lian (ACL (1), 2025)

How Credible Is an Answer From Retrieval-Augmented LLMs? Investigation and Evaluation With Multi-Hop QA. - Yujia Zhou 002; Zheng Liu 011; Zhicheng Dou (COLING, 2025)

FineRAG: Fine-grained Retrieval-Augmented Text-to-Image Generation. - Huaying Yuan; Ziliang Zhao; Shuting Wang 002; Shitao Xiao; Minheng Ni; Zheng Liu 011; Zhicheng Dou (COLING, 2025)

MLVU: Benchmarking Multi-task Long Video Understanding. - Junjie Zhou 001; Yan Shu; Bo Zhao 015; Boya Wu; Zhengyang Liang; Shitao Xiao; Minghao Qin; Xi Yang; Yongping Xiong; Bo Zhang; Tiejun Huang 001; Zheng Liu 011 (CVPR, 2025)

Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly. - Yexin Liu; Zhengyang Liang; Yueze Wang; Xianfeng Wu; Feilong Tang; Muyang He; Jian Li 062; Zheng Liu 011; Harry Yang; Sernam Lim; Bo Zhao 015 (CVPR, 2025)

Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding. - Yan Shu; Zheng Liu 011; Peitian Zhang; Minghao Qin; Junjie Zhou 001; Zhengyang Liang; Tiejun Huang 001; Bo Zhao 015 (CVPR, 2025)

OmniGen: Unified Image Generation. - Shitao Xiao; Yueze Wang; Junjie Zhou 001; Huaying Yuan; Xingrun Xing; Ruiran Yan; Chaofan Li; Shuting Wang 002; Tiejun Huang 003; Zheng Liu 011 (CVPR, 2025)

Making Text Embedders Few-Shot Learners. - Chaofan Li; Minghao Qin; Shitao Xiao; Jianlyu Chen; Kun Luo; Defu Lian; Yingxia Shao; Zheng Liu 011 (ICLR, 2025)

Long Context Compression with Activation Beacon. - Peitian Zhang; Zheng Liu 011; Shitao Xiao; Ninglu Shao; Qiwei Ye; Zhicheng Dou (ICLR, 2025)

Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive Task. - Hongjin Qian; Zheng Liu 011; Peitian Zhang; Kelong Mao; Yujia Zhou 002; Xu Chen 017; Zhicheng Dou (KDD (1), 2025)

Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. - Chenyuan Wu; Ninglu Shao; Zheng Liu 011; Shitao Xiao; Chaozhuo Li; Chen Zhang 013; Senzhang Wang; Defu Lian (WSDM, 2025)

Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width. - Zheng Liu 011; Chaofan Li; Shitao Xiao; Chaozhuo Li; Chen Jason Zhang; Hao Liao; Defu Lian; Yingxia Shao (WWW, 2025)

MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation. - Hongjin Qian; Zheng Liu 011; Peitian Zhang; Kelong Mao; Defu Lian; Zhicheng Dou; Tiejun Huang 001 (WWW, 2025)

Virgo: A Preliminary Exploration on Reproducing o1-like MLLM. - Yifan Du 002; Zikang Liu 001; Yifan Li 009; Wayne Xin Zhao; Yuqi Huo; Bingning Wang; Weipeng Chen; Zheng Liu 011; Zhongyuan Wang 006; Ji-Rong Wen (CoRR, 2025)

Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width. - Zheng Liu 011; Chaofan Li; Shitao Xiao; Chaozhuo Li; Defu Lian; Yingxia Shao (CoRR, 2025)

O1 Embedder: Let Retrievers Think Before Action. - Ruiran Yan; Zheng Liu 011; Defu Lian (CoRR, 2025)

Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval. - Ze Liu; Zhengyang Liang; Junjie Zhou 001; Zheng Liu 011; Defu Lian (CoRR, 2025)

Does RAG Really Perform Bad For Long-Context Processing? - Kun Luo; Zheng Liu 011; Peitian Zhang; Hongjin Qian; Jun Zhao 001; Kang Liu 001 (CoRR, 2025)

Reinforced Information Retrieval. - Chaofan Li; Zheng Liu 011; Jianlyv Chen; Defu Lian; Yingxia Shao (CoRR, 2025)

MomentSeeker: A Comprehensive Benchmark and A Strong Baseline For Moment Retrieval Within Long Videos. - Huaying Yuan; Jian Ni; Yueze Wang; Junjie Zhou 001; Zhengyang Liang; Zheng Liu 011; Zhao Cao; Zhicheng Dou; Ji-Rong Wen (CoRR, 2025)

HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks. - Hongjin Qian; Zheng Liu 011; Chao Gao; Yankai Wang; Defu Lian; Zhicheng Dou (CoRR, 2025)

MMTEB: Massive Multilingual Text Embedding Benchmark. - Kenneth C. Enevoldsen; Isaac Chung; Imene Kerboua; Márton Kardos; Ashwin Mathur; David Stap; Jay Gala; Wissam Siblini; Dominik Krzeminski; Genta Indra Winata; Saba Sturua; Saiteja Utpala; et al. (CoRR, 2025)

An Empirical Study on Eliciting and Improving R1-like Reasoning Models. - Zhipeng Chen 001; Yingqian Min; Beichen Zhang; Jie Chen 007; Jinhao Jiang; Daixuan Cheng; Wayne Xin Zhao; Zheng Liu 011; Xu Miao; Yang Lu; Lei Fang; Zhongyuan Wang 006; et al. (CoRR, 2025)

Memory-enhanced Retrieval Augmentation for Long Video Understanding. - Huaying Yuan; Zheng Liu 011; Minhao Qin; Hongjin Qian; Y. Shu; Zhicheng Dou; Ji-Rong Wen (CoRR, 2025)

Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding. - Xiangrui Liu; Yan Shu; Zheng Liu 011; Ao Li; Yang Tian; Bo Zhao 015 (CoRR, 2025)

Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models. - Haoxiang Sun; Yingqian Min; Zhipeng Chen 001; Wayne Xin Zhao; Zheng Liu 011; Zhongyuan Wang 006; Lei Fang; Ji-Rong Wen (CoRR, 2025)

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1. - Wenjie Wang 007; Zheng Liu 011; Fuli Feng; Zhicheng Dou; Qingyao Ai; Grace Hui Yang; Defu Lian; Lu Hou 002; Aixin Sun; Hamed Zamani; Donald Metzler; Maarten de Rijke (ACM Trans. Inf. Syst., 2025)

Towards A Generalist Code Embedding Model Based On Massive Data Synthesis. - Chaofan Li; Jianlyu Chen; Yingxia Shao; Defu Lian; Zheng Liu 011 (CoRR, 2025)

Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization. - Yutao Zhu 001; Jiajie Jin; Hongjin Qian; Zheng Liu 011; Zhicheng Dou; Ji-Rong Wen (CoRR, 2025)

SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis. - Shuang Sun; Huatong Song; Yuhao Wang 007; Ruiyang Ren; Jinhao Jiang; Junjie Zhang 009; Fei Bai; Jia Deng; Wayne Xin Zhao; Zheng Liu 011; Lei Fang; Zhongyuan Wang 006; et al. (CoRR, 2025)

Towards Effective Code-Integrated Reasoning. - Fei Bai; Yingqian Min; Beichen Zhang; Zhipeng Chen 001; Wayne Xin Zhao; Lei Fang; Zheng Liu 011; Zhongyuan Wang 006; Ji-Rong Wen (CoRR, 2025)

Fact in Fragments: Deconstructing Complex Claims via LLM-based Atomic Fact Extraction and Verification. - Liwen Zheng; Chaozhuo Li; Zheng Liu 011; Feiran Huang; Haoran Jia; Zaisheng Ye; Xi Zhang 008 (CoRR, 2025)

VideoDeepResearch: Long Video Understanding With Agentic Tool Using. - Huaying Yuan; Zheng Liu 011; Junjie Zhou 001; Hongjin Qian; Ji-Rong Wen; Zhicheng Dou (CoRR, 2025)

OmniGen2: Exploration to Advanced Multimodal Generation. - Chenyuan Wu; Pengfei Zheng; Ruiran Yan; Shitao Xiao; Xin Luo; Yueze Wang; Wanli Li; Xiyan Jiang; Yexin Liu; Junjie Zhou 001; Ze Liu; Ziyi Xia; et al. (CoRR, 2025)

Video-XL-2: Towards Very Long-Video Understanding Through Task-Aware KV Sparsification. - Minghao Qin; Xiangrui Liu; Zhengyang Liang; Yan Shu; Huaying Yuan; Junjie Zhou 001; Shitao Xiao; Bo Zhao 015; Zheng Liu 011 (CoRR, 2025)

Task-Aware KV Compression For Cost-Effective Long Video Understanding. - Minghao Qin; Yan Shu; Peitian Zhang; Kun Lun; Huaying Yuan; Junjie Zhou 001; Shitao Xiao; Bo Zhao 015; Zheng Liu 011 (CoRR, 2025)

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models. - Chaozhuo Li; Pengbo Wang; Chenxu Wang; Litian Zhang; Zheng Liu 011; Qiwei Ye; Yuanbo Xu; Feiran Huang; Xi Zhang 008; Philip S. Yu (CoRR, 2025)

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 2. - Wenjie Wang 007; Zheng Liu 011; Fuli Feng; Zhicheng Dou; Qingyao Ai; Grace Hui Yang; Defu Lian; Lu Hou 002; Aixin Sun; Hamed Zamani; Donald Metzler; Maarten de Rijke (ACM Trans. Inf. Syst., 2025)