Diversified and Verbalized Result Summarization for Semantic Association Search. - Yu Gu 016; Yue Liang; Gong Cheng 001; Daxin Liu 002; Ruidi Wei; Yuzhong Qu (WISE (1), 2018)

Local ABox Consistency Prediction with Transparent TBoxes Using Gated Graph Neural Networks. - Yu Gu 016; Jeff Z. Pan; Gong Cheng 001; Heiko Paulheim; Giorgos Stoilos (NeSy@IJCAI, 2019)

Relevance Search over Schema-Rich Knowledge Graphs. - Yu Gu 016; Tianshuo Zhou; Gong Cheng 001; Ziyang Li; Jeff Z. Pan; Yuzhong Qu (WSDM, 2019)

A Systematic Investigation of KB-Text Embedding Alignment at Scale. - Vardaan Pahuja; Yu Gu 016; Wenhu Chen; Mehdi Bahrami; Lei Liu; Wei-Peng Chen; Yu Su 001 (ACL/IJCNLP (1), 2021)

Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases. - Yu Gu 016; Sue Kase; Michelle Vanni; Brian M. Sadler; Percy Liang; Xifeng Yan; Yu Su 001 (WWW, 2021)

Knowledge Base Question Answering: A Semantic Parsing Perspective. - Yu Gu 016; Vardaan Pahuja; Gong Cheng 001; Yu Su 001 (AKBC, 2022)

ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering. - Yu Gu 016; Yu Su 001 (COLING, 2022)

Clues Before Answers: Generation-Enhanced Multiple-Choice QA. - Zixian Huang; Ao Wu; Jiaying Zhou; Yu Gu 016; Yue Zhao; Gong Cheng 001 (NAACL-HLT, 2022)

ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval. - Tengteng Lin; Qiaosheng Chen; Gong Cheng 001; Ahmet Soylu; Basil Ell; Ruoqi Zhao; Qing Shi; Xiaxia Wang 001; Yu Gu 016; Evgeny Kharlamov (SIGIR, 2022)

Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments. - Yu Gu 016; Xiang Deng 001; Yu Su 001 (ACL (1), 2023)

Few-shot In-context Learning on Knowledge Base Question Answering. - Tianle Li; Xueguang Ma; Alex Zhuang; Yu Gu 016; Yu Su 001; Wenhu Chen (ACL (1), 2023)

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

Mind2Web: Towards a Generalist Agent for the Web. - Xiang Deng 001; Yu Gu 016; Boyuan Zheng; Shijie Chen; Samual Stevens; Boshi Wang; Huan Sun 001; Yu Su 001 (NeurIPS, 2023)

TRAVERS: A Diversity-Based Dynamic Approach to Iterative Relevance Search over Knowledge Graphs. - Ziyang Li; Yu Gu 016; Yulin Shen; Wei Hu 007; Gong Cheng 001 (WWW, 2023)

Mind2Web: Towards a Generalist Agent for the Web. - Xiang Deng 001; Yu Gu 016; Boyuan Zheng; Shijie Chen; Samuel Stevens 001; Boshi Wang; Huan Sun 001; Yu Su 001 (CoRR, 2023)

Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs. - Vardaan Pahuja; Weidi Luo; Yu Gu 016; Cheng-Hao Tu 001; Hong-You Chen; Tanya Y. Berger-Wolf; Charles V. Stewart; Song Gao 001; Wei-Lun Chao; Yu Su 001 (CIKM, 2024)

Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments. - Yu Gu 016; Yiheng Shu; Hao Yu; Xiao Liu 036; Yuxiao Dong; Jie Tang 001; Jayanth Srinivasa; Hugo Latapie; Yu Su 001 (EMNLP, 2024)

AgentBench: Evaluating LLMs as Agents. - Xiao Liu 036; Hao Yu; Hanchen Zhang; Yifan Xu; Xuanyu Lei; Hanyu Lai; Yu Gu 016; Hangliang Ding; Kaiwen Men; Kejuan Yang; Shudan Zhang; Xiang Deng 001; et al. (ICLR, 2024)

A Branching Decoder for Set Generation. - Zixian Huang; Gengyang Xiao; Yu Gu 016; Gong Cheng 001 (ICLR, 2024)

HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models. - Bernal Jimenez Gutierrez; Yiheng Shu; Yu Gu 016; Michihiro Yasunaga; Yu Su 001 (NeurIPS, 2024)

Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs. - Vardaan Pahuja; Weidi Luo; Yu Gu 016; Cheng-Hao Tu 001; Hong-You Chen; Tanya Y. Berger-Wolf; Charles V. Stewart; Song Gao 001; Wei-Lun Chao; Yu Su 001 (CoRR, 2024)

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents. - Xiao Liu 036; Tianjie Zhang; Yu Gu 016; Iat Long Iong; Yifan Xu; Xixuan Song; Shudan Zhang; Hanyu Lai; Xinyi Liu; Hanlin Zhao; Jiadai Sun; Xinyue Yang; et al. (CoRR, 2024)

Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents. - Yu Gu 016; Boyuan Zheng; Boyu Gou; Kai Zhang 033; Cheng Chang; Sanjari Srivastava; Yanan Xie; Peng Qi; Huan Sun 001; Yu Su 001 (CoRR, 2024)

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents. - Xiao Liu 036; Tianjie Zhang; Yu Gu 016; Iat Long Iong; Xixuan Song; Yifan Xu; Shudan Zhang; Hanyu Lai; Jiadai Sun; Xinyue Yang; Yu Yang; Zehan Qi; et al. (ICLR, 2025)

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems. - Bang Liu; Xinfeng Li; Jiayi Zhang; Jinlin Wang; Tanjin He; Sirui Hong; Hongzhang Liu; Shaokun Zhang; Kaitao Song; Kunlun Zhu; Yuheng Cheng; Suyuchen Wang; et al. (CoRR, 2025)

SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills. - Boyuan Zheng; Michael Y. Fatemi; Xiaolong Jin; Zora Zhiruo Wang; Apurva Gandhi; Yueqi Song; Yu Gu 016; Jayanth Srinivasa; Gaowen Liu; Graham Neubig; Yu Su 001 (CoRR, 2025)

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge. - Boyu Gou; Zanming Huang; Yuting Ning; Yu Gu 016; Michael Lin; Weijian Qi; Andrei Kopanev; Botao Yu; Bernal Jiménez Gutiérrez; Yiheng Shu; Chan Hee Song; Jiaman Wu; et al. (CoRR, 2025)

Pipelined Decoder for Efficient Context-Aware Text Generation. - Zixian Huang; Chenxu Niu; Yu Gu 016; Gengyang Xiao; Xinwei Huang; Gong Cheng 001 (CoRR, 2025)