Relational click prediction for sponsored search. - Chenyan Xiong; Taifeng Wang; Wenkui Ding; Yidong Shen; Tie-Yan Liu (WSDM, 2012)

Automatic Domain Partitioning for Multi-Domain Learning. - Di Wang; Chenyan Xiong; William Yang Wang (EMNLP, 2013)

A language modeling approach to entity recognition and disambiguation for search queries. - Bhavana Bharat Dalvi; Chenyan Xiong; Jamie Callan (ERD@SIGIR, 2014)

EsdRank: Connecting Query and Documents through External Semi-Structured Data. - Chenyan Xiong; Jamie Callan (CIKM, 2015)

Query Expansion with Freebase. - Chenyan Xiong; Jamie Callan (ICTIR, 2015)

Query-Biased Partitioning for Selective Search. - Zhuyun Dai; Chenyan Xiong; Jamie Callan (CIKM, 2016)

Bag-of-Entities Representation for Ranking. - Chenyan Xiong; Jamie Callan; Tie-Yan Liu (ICTIR, 2016)

An Empirical Study of Learning to Rank for Entity Search. - Jing Chen; Chenyan Xiong; Jamie Callan (SIGIR, 2016)

JointSem: Combining Query Entity Linking and Entity based Document Ranking. - Chenyan Xiong; Zhengzhong Liu 001; Jamie Callan; Eduard H. Hovy (CIKM, 2017)

Overview of the NTCIR-13 We Want Web Task. - Cheng Luo 001; Tetsuya Sakai; Yiqun Liu 001; Zhicheng Dou; Chenyan Xiong; Jingfang Xu (NTCIR, 2017)

An Evaluation of the Kernel Based Neural Ranking Model in NTCIR-13 WWW. - Zhuyun Dai; Chenyan Xiong; Jamie Callan (NTCIR, 2017)

The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR). - Laura Dietz; Chenyan Xiong; Edgar Meij (SIGIR, 2017)

DBpedia-Entity v2: A Test Collection for Entity Search. - Faegheh Hasibi; Fedor Nikolaev; Chenyan Xiong; Krisztian Balog; Svein Erik Bratsberg; Alexander Kotov 001; Jamie Callan (SIGIR, 2017)

Natural Language Supported Relation Matching for Question Answering with Knowledge Graphs. - Hongyu Li; Chenyan Xiong; Jamie Callan (KG4IR@SIGIR, 2017)

Word-Entity Duet Representations for Document Ranking. - Chenyan Xiong; Jamie Callan; Tie-Yan Liu (SIGIR, 2017)

End-to-End Neural Ad-hoc Ranking with Kernel Pooling. - Chenyan Xiong; Zhuyun Dai; Jamie Callan; Zhiyuan Liu 001; Russell Power (SIGIR, 2017)

Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding. - Chenyan Xiong; Russell Power; Jamie Callan (WWW, 2017)

Overview of The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR). - Laura Dietz; Chenyan Xiong; Edgar Meij (SIGIR Forum, 2017)

Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval. - Zhenghao Liu 001; Chenyan Xiong; Maosong Sun 001; Zhiyuan Liu 001 (ACL (1), 2018)

Automatic Event Salience Identification. - Zhengzhong Liu 001; Chenyan Xiong; Teruko Mitamura; Eduard H. Hovy (EMNLP, 2018)

The Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR). - Laura Dietz; Chenyan Xiong; Jeff Dalton 001; Edgar Meij (SIGIR, 2018)

Consistency and Variation in Kernel Neural Ranking Model. - Mary Arpita Pyreddy; Varshini Ramaseshan; Narendra Nath Joshi; Zhuyun Dai; Chenyan Xiong; Jamie Callan; Zhiyuan Liu 001 (SIGIR, 2018)

Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling. - Chenyan Xiong; Zhengzhong Liu 001; Jamie Callan; Tie-Yan Liu (SIGIR, 2018)

Improving Ad Hoc Retrieval With Bag Of Entities. - Gustavo Gonçalves; João Magalhães; Chenyan Xiong; Jamie Callan (TREC, 2018)

Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search. - Zhuyun Dai; Chenyan Xiong; Jamie Callan; Zhiyuan Liu 001 (WSDM, 2018)

Query Suggestion with Feedback Memory Network. - Bin Wu; Chenyan Xiong; Maosong Sun 001; Zhiyuan Liu 001 (WWW, 2018)

Text Representation, Retrieval, and Understanding with Knowledge Graphs. - Chenyan Xiong (SIGIR Forum, 2018)

Target-Guided Open-Domain Conversation. - Jianheng Tang; Tiancheng Zhao; Chenyan Xiong; Xiaodan Liang; Eric P. Xing; Zhiting Hu (ACL (1), 2019)

Explore Entity Embedding Effectiveness in Entity Retrieval. - Zhenghao Liu 001; Chenyan Xiong; Maosong Sun 001; Zhiyuan Liu 001 (CCL, 2019)

Open Domain Web Keyphrase Extraction Beyond Language Modeling. - Lee Xiong; Chuan Hu; Chenyan Xiong; Daniel Campos; Arnold Overwijk (EMNLP/IJCNLP (1), 2019)

Neural Document Expansion with User Feedback. - Yue Yin; Chenyan Xiong; Cheng Luo 001; Zhiyuan Liu 001 (ICTIR, 2019)

An Axiomatic Approach to Regularizing Neural Ranking Models. - Corby Rosset; Bhaskar Mitra 001; Chenyan Xiong; Nick Craswell; Xia Song; Saurabh Tiwary (SIGIR, 2019)

Generic Intent Representation in Web Search. - Hongfei Zhang; Xia Song; Chenyan Xiong; Corby Rosset; Paul N. Bennett; Nick Craswell; Saurabh Tiwary (SIGIR, 2019)

Understanding the Behaviors of BERT in Ranking. - Yifan Qiao; Chenyan Xiong; Zhenghao Liu 001; Zhiyuan Liu 001 (CoRR, 2019)

Kernel Graph Attention Network for Fact Verification. - Zhenghao Liu 001; Chenyan Xiong; Maosong Sun 001 (CoRR, 2019)

Conversation Generation with Concept Flow. - Houyu Zhang; Zhenghao Liu 001; Chenyan Xiong; Zhiyuan Liu 001 (CoRR, 2019)

Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator. - Woon Sang Cho; Yizhe Zhang 002; Sudha Rao; Asli Celikyilmaz; Chenyan Xiong; Jianfeng Gao 001; Mengdi Wang 001; Bill Dolan (CoRR, 2019)

Special issue on knowledge graphs and semantics in text analysis and retrieval. - Laura Dietz; Chenyan Xiong; Jeff Dalton 001; Edgar Meij (Inf. Retr. J., 2019)

Latent Relation Language Models. - Hiroaki Hayashi; Zecong Hu; Chenyan Xiong; Graham Neubig (AAAI, 2020)

Fine-grained Fact Verification with Kernel Graph Attention Network. - Zhenghao Liu 001; Chenyan Xiong; Maosong Sun 001; Zhiyuan Liu 001 (ACL, 2020)

Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs. - Houyu Zhang; Zhenghao Liu 001; Chenyan Xiong; Zhiyuan Liu 001 (ACL, 2020)

Long Document Ranking with Query-Directed Sparse Transformer. - Jyun-Yu Jiang; Chenyan Xiong; Chia-Jung Lee; Wei Wang 010 (EMNLP (Findings), 2020)

Generalizing Open Domain Fact Extraction and Verification to COVID-FACT thorough In-Domain Language Modeling. - Zhenghao Liu 001; Chenyan Xiong; Zhuyun Dai; Si Sun; Maosong Sun 001; Zhiyuan Liu 001 (EMNLP (Findings), 2020)

Text Classification Using Label Names Only: A Language Model Self-Training Approach. - Yu Meng 001; Yunyi Zhang 001; Jiaxin Huang 001; Chenyan Xiong; Heng Ji 001; Chao Zhang 014; Jiawei Han 001 (EMNLP (1), 2020)

Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention. - Chen Zhao 013; Chenyan Xiong; Corby Rosset; Xia Song; Paul N. Bennett; Saurabh Tiwary (ICLR, 2020)

Towards Interpretable Natural Language Understanding with Explanations as Latent Variables. - Wangchunshu Zhou; Jinyi Hu; Hanlin Zhang 002; Xiaodan Liang; Maosong Sun 001; Chenyan Xiong; Jian Tang 005 (NeurIPS, 2020)

CAsT-19: A Dataset for Conversational Information Seeking. - Jeffrey Dalton 001; Chenyan Xiong; Vaibhav Kumar; Jamie Callan (SIGIR, 2020)

Recent Advances in Conversational Information Retrieval. - Jianfeng Gao 001; Chenyan Xiong; Paul Bennett 001 (SIGIR, 2020)

Knowledge Enhanced Personalized Search. - Shuqi Lu; Zhicheng Dou; Chenyan Xiong; Xiaojie Wang 003; Ji-Rong Wen (SIGIR, 2020)

Contextual Re-Ranking with Behavior Aware Transformers. - Chen Qu 001; Chenyan Xiong; Yizhe Zhang 002; Corby Rosset; W. Bruce Croft; Paul N. Bennett (SIGIR, 2020)

Few-Shot Generative Conversational Query Rewriting. - Shi Yu 001; Jiahua Liu; Jingqin Yang; Chenyan Xiong; Paul N. Bennett; Jianfeng Gao 001; Zhiyuan Liu 001 (SIGIR, 2020)

CAsT 2020: The Conversational Assistance Track Overview. - Jeffrey Dalton 001; Chenyan Xiong; Jamie Callan (TREC, 2020)

Leading Conversational Search by Suggesting Useful Questions. - Corbin Rosset; Chenyan Xiong; Xia Song; Daniel Campos; Nick Craswell; Saurabh Tiwary; Paul N. Bennett (WWW, 2020)

TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. - Jiaming Shen; Zhihong Shen; Chenyan Xiong; Chi Wang 001; Kuansan Wang; Jiawei Han 001 (WWW, 2020)

Selective Weak Supervision for Neural Information Retrieval. - Kaitao Zhang; Chenyan Xiong; Zhenghao Liu 001; Zhiyuan Liu 001 (WWW, 2020)

Complex Factoid Question Answering with a Free-Text Knowledge Graph. - Chen Zhao 013; Chenyan Xiong; Xin Qian; Jordan L. Boyd-Graber (WWW, 2020)

TREC CAsT 2019: The Conversational Assistance Track Overview. - Jeffrey Dalton 001; Chenyan Xiong; Jamie Callan (CoRR, 2020)

Joint Keyphrase Chunking and Salience Ranking with BERT. - Si Sun; Chenyan Xiong; Zhenghao Liu 001; Zhiyuan Liu 001; Jie Bao (CoRR, 2020)

Knowledge-Aware Language Model Pretraining. - Corby Rosset; Chenyan Xiong; Minh Phan; Xia Song; Paul N. Bennett; Saurabh Tiwary (CoRR, 2020)

Proceedings of the KG-BIAS Workshop 2020 at AKBC 2020. - Edgar Meij; Tara Safavi; Chenyan Xiong; Gianluca Demartini; Miriam Redi; Fatma Özcan 001 (CoRR, 2020)

CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search. - Chenyan Xiong; Zhenghao Liu 001; Si Sun; Zhuyun Dai; Kaitao Zhang; Shi Yu 001; Zhiyuan Liu 001; Hoifung Poon; Jianfeng Gao 001; Paul Bennett 001 (CoRR, 2020)

Meta Adaptive Neural Ranking with Contrastive Synthetic Supervision. - Si Sun; Yingzhuo Qian; Zhenghao Liu 001; Chenyan Xiong; Kaitao Zhang; Jie Bao; Zhiyuan Liu 001; Paul Bennett 001 (CoRR, 2020)

Report on the first workshop on bias in automatic knowledge graph construction at AKBC 2020. - Tara Safavi; Edgar Meij; Fatma Özcan 001; Miriam Redi; Gianluca Demartini; Chenyan Xiong (SIGIR Forum, 2020)

Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. - Ramakanth Pasunuru; Asli Celikyilmaz; Michel Galley; Chenyan Xiong; Yizhe Zhang 002; Mohit Bansal; Jianfeng Gao 001 (AAAI, 2021)

Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision. - Si Sun; Yingzhuo Qian; Zhenghao Liu 001; Chenyan Xiong; Kaitao Zhang; Jie Bao; Zhiyuan Liu 001; Paul Bennett 001 (ACL/IJCNLP (1), 2021)

Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback. - HongChien Yu; Chenyan Xiong; Jamie Callan (CIKM, 2021)

Contrastive Multi-document Question Generation. - Woon Sang Cho; Yizhe Zhang 002; Sudha Rao; Asli Celikyilmaz; Chenyan Xiong; Jianfeng Gao 001; Mengdi Wang 001; Bill Dolan (EACL, 2021)

Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder. - Shuqi Lu; Di He 001; Chenyan Xiong; Guolin Ke; Waleed Malik; Zhicheng Dou; Paul Bennett 001; Tie-Yan Liu; Arnold Overwijk (EMNLP (1), 2021)

TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling. - Huiyuan Xie; Zhenghao Liu 001; Chenyan Xiong; Zhiyuan Liu 001; Ann A. Copestake (EMNLP (Findings), 2021)

Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation. - Chen Zhao 013; Chenyan Xiong; Jordan L. Boyd-Graber; Hal Daumé III (EMNLP (1), 2021)

Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. - Lee Xiong; Chenyan Xiong; Ye Li; Kwok-Fung Tang; Jialin Liu; Paul N. Bennett; Junaid Ahmed; Arnold Overwijk (ICLR, 2021)

More Robust Dense Retrieval with Contrastive Dual Learning. - Yizhi Li; Zhenghao Liu 001; Chenyan Xiong; Zhiyuan Liu 001 (ICTIR, 2021)

Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. - Yu Wang 009; Jinchao Li; Tristan Naumann; Chenyan Xiong; Hao Cheng 002; Robert Tinn; Cliff Wong; Naoto Usuyama; Richard Rogahn; Zhihong Shen; Yang Qin; Eric Horvitz; et al. (KDD, 2021)

Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval. - Chen Zhao 013; Chenyan Xiong; Jordan L. Boyd-Graber; Hal Daumé III (NAACL-HLT, 2021)

COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. - Yu Meng 001; Chenyan Xiong; Payal Bajaj; Saurabh Tiwary; Paul Bennett 001; Jiawei Han 001; Xia Song (NeurIPS, 2021)

Capturing Global Informativeness in Open Domain Keyphrase Extraction. - Si Sun; Zhenghao Liu 001; Chenyan Xiong; Zhiyuan Liu 001; Jie Bao (NLPCC (2), 2021)

OpenMatch: An Open Source Library for Neu-IR Research. - Zhenghao Liu 001; Kaitao Zhang; Chenyan Xiong; Zhiyuan Liu 001; Maosong Sun 001 (SIGIR, 2021)

Few-Shot Conversational Dense Retrieval. - Shi Yu 001; Zhenghao Liu 001; Chenyan Xiong; Tao Feng; Zhiyuan Liu 001 (SIGIR, 2021)

TREC CAsT 2021: The Conversational Assistance Track Overview. - Jeffrey Dalton 001; Chenyan Xiong; Jamie Callan (TREC, 2021)

OpenMatch: An Open-Source Package for Information Retrieval. - Zhenghao Liu 001; Kaitao Zhang; Chenyan Xiong; Zhiyuan Liu 001 (CoRR, 2021)

Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder. - Shuqi Lu; Chenyan Xiong; Di He 001; Guolin Ke; Waleed Malik; Zhicheng Dou; Paul Bennett 001; Tie-Yan Liu; Arnold Overwijk (CoRR, 2021)

Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation. - Chen Zhao 013; Chenyan Xiong; Jordan L. Boyd-Graber; Hal Daumé III (CoRR, 2021)

Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations. - Ji Xin; Chenyan Xiong; Ashwin Srinivasan 003; Ankita Sharma; Damien Jose; Paul Bennett 001 (ACL (Findings), 2022)

Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder. - Zhenghao Liu 001; Han Zhang; Chenyan Xiong; Zhiyuan Liu 001; Yu Gu 002; Xiaohua Li (EMNLP, 2022)

Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives. - Si Sun; Chenyan Xiong; Yue Yu; Arnold Overwijk; Zhiyuan Liu 001; Jie Bao (EMNLP, 2022)

COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning. - Yue Yu 001; Chenyan Xiong; Si Sun; Chao Zhang 014; Arnold Overwijk (EMNLP, 2022)

Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. - Yu Meng 001; Chenyan Xiong; Payal Bajaj; Saurabh Tiwary; Paul N. Bennett; Jiawei Han 001; Xia Song (ICLR, 2022)

P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. - Xiaomeng Hu; Shi Yu 001; Chenyan Xiong; Zhenghao Liu 001; Zhiyuan Liu 001; Ge Yu 001 (SIGIR, 2022)

ClueWeb22: 10 Billion Web Documents with Rich Information. - Arnold Overwijk; Chenyan Xiong; Jamie Callan (SIGIR, 2022)

Neural Approaches to Conversational Information Retrieval. - Jianfeng Gao 001; Chenyan Xiong; Paul Bennett 001; Nick Craswell (CoRR, 2022)

METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals. - Payal Bajaj; Chenyan Xiong; Guolin Ke; Xiaodong Liu 003; Di He 001; Saurabh Tiwary; Tie-Yan Liu; Paul Bennett 001; Xia Song; Jianfeng Gao 001 (CoRR, 2022)

P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. - Xiaomeng Hu; Shi Yu 001; Chenyan Xiong; Zhenghao Liu 001; Zhiyuan Liu 001; Ge Yu 001 (CoRR, 2022)

Universal Multi-Modality Retrieval with One Unified Embedding Space. - Zhenghao Liu 001; Chenyan Xiong; Yuanhuiyi Lv; Zhiyuan Liu 001; Ge Yu 001 (CoRR, 2022)

COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning. - Yue Yu 001; Chenyan Xiong; Si Sun; Chao Zhang 014; Arnold Overwijk (CoRR, 2022)

ClueWeb22: 10 Billion Web Documents with Rich Information. - Arnold Overwijk; Chenyan Xiong; Xiao Liu; Cameron VandenBerg; Jamie Callan (CoRR, 2022)

Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers. - Linyuan Gong; Chenyan Xiong; Xiaodong Liu 003; Payal Bajaj; Yiqing Xie; Alvin Cheung; Jianfeng Gao 001; Xia Song (ACL (1), 2023)

Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data. - Xinze Li; Zhenghao Liu 001; Chenyan Xiong; Shi Yu 001; Yu Gu 002; Zhiyuan Liu 001; Ge Yu 001 (ACL (Findings), 2023)

Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In. - Zichun Yu; Chenyan Xiong; Shi Yu 001; Zhiyuan Liu 001 (ACL (1), 2023)

Text Matching Improves Sequential Recommendation by Reducing Popularity Biases. - Zhenghao Liu 001; Sen Mei; Chenyan Xiong; Xiaohua Li; Shi Yu 001; Zhiyuan Liu 001; Yu Gu 002; Ge Yu 001 (CIKM, 2023)

Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. - Suyu Ge; Chenyan Xiong; Corby Rosset; Arnold Overwijk; Jiawei Han 001; Paul Bennett 001 (EMNLP, 2023)

CompleQA: Benchmarking the Impacts of Knowledge Graph Completion Methods on Question Answering. - Donghan Yu; Yu Gu 016; Chenyan Xiong; Yiming Yang 002 (EMNLP (Findings), 2023)

Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval. - Zhenghao Liu 001; Chenyan Xiong; Yuanhuiyi Lv; Zhiyuan Liu 001; Ge Yu 001 (ICLR, 2023)

Unsupervised Dense Retrieval Training with Web Anchors. - Yiqing Xie; Xiao Liu 029; Chenyan Xiong (SIGIR, 2023)

OpenMatch-v2: An All-in-one Multi-Modality PLM-based Information Retrieval Toolkit. - Shi Yu 001; Zhenghao Liu 001; Chenyan Xiong; Zhiyuan Liu 001 (SIGIR, 2023)

Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval. - Shi Yu 001; Chenghao Fan; Chenyan Xiong; David Jin; Zhiyuan Liu 001; Zhenghao Liu 001 (CoRR, 2023)

Unlock Multi-Modal Capability of Dense Retrieval via Visual Module Plugin. - Tianshuo Zhou; Sen Mei; Xinze Li; Zhenghao Liu 001; Chenyan Xiong; Zhiyuan Liu 001; Yu Gu 002; Ge Yu 001 (CoRR, 2023)

Distributionally Robust Unsupervised Dense Retrieval Training on Web Graphs. - Peixuan Han; Zhenghao Liu 001; Zhiyuan Liu 001; Chenyan Xiong (CoRR, 2023)

An In-depth Look at Gemini's Language Abilities. - Syeda Nahida Akter; Zichun Yu; Aashiq Muhamed; Tianyue Ou; Alex Bäuerle; Ángel Alexander Cabrera; Krish Dholakia; Chenyan Xiong; Graham Neubig (CoRR, 2023)

Improving Multitask Retrieval by Promoting Task Specialization. - Wenzheng Zhang 003; Chenyan Xiong; Karl Stratos; Arnold Overwijk (Trans. Assoc. Comput. Linguistics, 2023)

Neural Approaches to Conversational Information Retrieval - Jianfeng Gao 001; Chenyan Xiong; Paul Bennett 001; Nick Craswell (Springer, 2023)

Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval. - João Coelho; Bruno Martins 001; João Magalhães; Jamie Callan; Chenyan Xiong (ACL (Short Papers), 2024)

MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin. - Tianshuo Zhou; Sen Mei; Xinze Li; Zhenghao Liu 001; Chenyan Xiong; Zhiyuan Liu 001; Yu Gu 002; Ge Yu 001 (ACL (1), 2024)

Fusion-in-T5: Unifying Variant Signals for Simple and Effective Document Ranking with Attention Fusion. - Shi Yu 001; Chenghao Fan; Chenyan Xiong; David Jin; Zhiyuan Liu 001; Zhenghao Liu 001 (LREC/COLING, 2024)

ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance. - Liwen Sun; Abhineet Agarwal; Aaron Kornblith; Bin Yu 001; Chenyan Xiong (ICML, 2024)

Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model. - Cheng Qian 008; Chenyan Xiong; Zhenghao Liu 001; Zhiyuan Liu 001 (NAACL-HLT, 2024)

MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models. - Zichun Yu; Spandan Das; Chenyan Xiong (NeurIPS, 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)

ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance. - Liwen Sun; Abhineet Agarwal; Aaron Kornblith; Bin Yu; Chenyan Xiong (CoRR, 2024)

ActiveRAG: Revealing the Treasures of Knowledge via Active Learning. - Zhipeng Xu; Zhenghao Liu 001; Yibin Liu; Chenyan Xiong; Yukun Yan; Shuo Wang 013; Shi Yu 001; Zhiyuan Liu 001; Ge Yu 001 (CoRR, 2024)

Cleaner Pretraining Corpus Curation with Neural Web Scraping. - Zhipeng Xu; Zhenghao Liu 001; Yukun Yan; Zhiyuan Liu 001; Chenyan Xiong; Ge Yu 001 (CoRR, 2024)

Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression. - Xinze Li; Zhenghao Liu 001; Chenyan Xiong; Shi Yu 001; Yukun Yan; Shuo Wang 013; Ge Yu 001 (CoRR, 2024)

ResearchArena: Benchmarking LLMs' Ability to Collect and Organize Information as Research Agents. - Hao Kang; Chenyan Xiong (CoRR, 2024)

In-Context Probing Approximates Influence Function for Data Valuation. - Cathy Jiao; Gary Gao; Chenyan Xiong (CoRR, 2024)

Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation. - Liwen Sun; James (Jialin) Zhao; Megan Han; Chenyan Xiong (CoRR, 2024)

RAGViz: Diagnose and Visualize Retrieval-Augmented Generation. - Tevin Wang; Jingyuan He; Chenyan Xiong (CoRR, 2024)

Craw4LLM: Efficient Web Crawling for LLM Pretraining. - Shi Yu 001; Zhiyuan Liu 001; Chenyan Xiong (ACL (Findings), 2025)

Understand User Opinions of Large Language Models via LLM-Powered In-the-Moment User Experience Interviews. - Mengqiao Liu; Tevin Wang; Cassandra A. Cohen; Sarah Li; Chenyan Xiong (ACL (Findings), 2025)

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards. - Xinze Li; Sen Mei; Zhenghao Liu 001; Yukun Yan; Shuo Wang 013; Shi Yu 001; Zheni Zeng; Hao Chen; Ge Yu 001; Zhiyuan Liu 001; Maosong Sun 001; Chenyan Xiong (ICLR, 2025)

Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning. - Xiaochuan Li 003; Zichun Yu; Chenyan Xiong (ICLR, 2025)

Harnessing Webpage UIs for Text-Rich Visual Understanding. - Junpeng Liu 001; Tianyue Ou; Yifan Song 002; Yuxiao Qu; Wai Lam; Chenyan Xiong; Wenhu Chen; Graham Neubig; Xiang Yue (ICLR, 2025)

On the Feasibility of In-Context Probing for Data Attribution. - Cathy Jiao; Weizhen Gao; Aditi Raghunathan; Chenyan Xiong (NAACL (Findings), 2025)

Interpret and Control Dense Retrieval with Sparse Latent Features. - Hao Kang; Tevin Wang; Chenyan Xiong (NAACL (Short Papers), 2025)

Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation. - Liwen Sun; James (Jialun) Zhao; Wenjing Han; Chenyan Xiong (NAACL (Long Papers), 2025)

Aligning Web Query Generation with Ranking Objectives via Direct Preference Optimization. - João Coelho; Bruno Martins 001; João Magalhães; Chenyan Xiong (SIGIR, 2025)

Fairshare Data Pricing for Large Language Models. - Luyang Zhang; Cathy Jiao; Beibei Li; Chenyan Xiong (CoRR, 2025)

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search. - Wentao Shi 002; Zichun Yu; Fuli Feng; Xiangnan He 001; Chenyan Xiong (CoRR, 2025)

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models. - Shuting Wang 002; Haihong Tang; Zhicheng Dou; Chenyan Xiong (CoRR, 2025)

Data-Efficient Pretraining with Group-Level Data Influence Modeling. - Zichun Yu; Fei Peng; Jie Lei; Arnold Overwijk; Wen-tau Yih; Chenyan Xiong (CoRR, 2025)

PIP-KAG: Mitigating Knowledge Conflicts in Knowledge-Augmented Generation via Parametric Pruning. - Pengcheng Huang 004; Zhenghao Liu 001; Yukun Yan; Xiaoyuan Yi; Hao Chen; Zhiyuan Liu 001; Maosong Sun 001; Tong Xiao; Ge Yu 001; Chenyan Xiong (CoRR, 2025)

DeepResearchGym: A Free, Transparent, and Reproducible Evaluation Sandbox for Deep Research. - João Coelho; Jingjie Ning; Jingyuan He; Kangrui Mao; Abhijay Paladugu; Pranav Setlur; Jiahe Jin; Jamie Callan; João Magalhães; Bruno Martins 001; Chenyan Xiong (CoRR, 2025)

Aligning Web Query Generation with Ranking Objectives via Direct Preference Optimization. - João Coelho; Bruno Martins; João Magalhães; Chenyan Xiong (CoRR, 2025)

FLAME-MoE: A Transparent End-to-End Research Platform for Mixture-of-Experts Language Models. - Hao Kang; Zichun Yu; Chenyan Xiong (CoRR, 2025)

ConsRec: Denoising Sequential Recommendation through User-Consistent Preference Modeling. - Haidong Xin; Qiushi Xiong; Zhenghao Liu 001; Sen Mei; Yukun Yan; Shi Yu 001; Shuo Wang 013; Yu Gu 002; Ge Yu 001; Chenyan Xiong (CoRR, 2025)

Semi-structured LLM Reasoners Can Be Rigorously Audited. - Jixuan Leng; Cassandra A. Cohen; Zhixian Zhang; Chenyan Xiong; William W. Cohen (CoRR, 2025)

Intercept Cancer: Cancer Pre-Screening with Large Scale Healthcare Foundation Models. - Liwen Sun; Hao-Ren Yao; Gary Gao; Ophir Frieder; Chenyan Xiong (CoRR, 2025)

Respond Beyond Language: A Benchmark for Video Generation in Response to Realistic User Intents. - Shuting Wang 002; Yunqi Liu; Zixin Yang; Ning Hu; Zhicheng Dou; Chenyan Xiong (CoRR, 2025)

Generate, Not Recommend: Personalized Multimodal Content Generation. - Jiongnan Liu; Zhicheng Dou; Ning Hu; Chenyan Xiong (CoRR, 2025)

AutoRule: Reasoning Chain-of-thought Extracted Rule-based Rewards Improve Preference Learning. - Tevin Wang; Chenyan Xiong (CoRR, 2025)

Deep Research Comparator: A Platform For Fine-grained Human Annotations of Deep Research Agents. - Prahaladh Chandrahasan; Jiahe Jin; Zhihan Zhang; Tevin Wang; Andy Tang; Lucy Mo; Morteza Ziyadi; Leonardo F. R. Ribeiro; Zimeng Qiu; Markus Dreyer; Akari Asai; Chenyan Xiong (CoRR, 2025)

DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models. - Cathy Jiao; Yijun Pan; Emily Xiao; Daisy Sheng; Niket Jain; Hanzhang Zhao; Ishita Dasgupta 003; Jiaqi W. Ma; Chenyan Xiong (CoRR, 2025)

Native Logical and Hierarchical Representations with Subspace Embeddings. - Gabriel Moreira; Zita Marinho; Manuel Marques; João Paulo Costeira; Chenyan Xiong (CoRR, 2025)

Beneficial Reasoning Behaviors in Agentic Search and Effective Post-training to Obtain Them. - Jiahe Jin; Abhijay Paladugu; Chenyan Xiong (CoRR, 2025)

RePro: Training Language Models to Faithfully Recycle the Web for Pretraining. - Zichun Yu; Chenyan Xiong (CoRR, 2025)

What Generative Search Engines Like and How to Optimize Web Content Cooperatively. - Yujiang Wu; Shanshan Zhong; Yubin Kim; Chenyan Xiong (CoRR, 2025)

Midtraining Bridges Pretraining and Posttraining Distributions. - Emmy Liu; Graham Neubig; Chenyan Xiong (CoRR, 2025)

ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests. - Jingyuan He; Jiongnan Liu; Vishan Vishesh Oberoi; Bolin Wu; Mahima Jagadeesh Patel; Kangrui Mao; Chuning Shi; I-Ta Lee; Arnold Overwijk; Chenyan Xiong (CoRR, 2025)