| AgentBench: Evaluating LLMs as Agents X Liu*, H Yu*, H Zhang*, Y Xu, X Lei, H Lai, Y Gu, H Ding, K Men, K Yang, ... ICLR 2024, 2023 | 493* | 2023 |
| Mind2Web: Towards a Generalist Agent for the Web X Deng, Y Gu, B Zheng, S Chen, S Stevens, B Wang, H Sun, Y Su NeurIPS 2023, 2023 | 401 | 2023 |
| Beyond IID: three levels of generalization for question answering on knowledge bases Y Gu, S Kase, M Vanni, B Sadler, P Liang, X Yan, Y Su WWW 2021, 3477-3488, 2021 | 241 | 2021 |
| KoLA: Carefully Benchmarking World Knowledge of Large Language Models J Yu, X Wang, S Tu, S Cao, D Zhang-Li, X Lv, H Peng, Z Yao, X Zhang, ... ICLR 2024, 2023 | 122 | 2023 |
| Few-shot In-context Learning for Knowledge Base Question Answering T Li, X Ma, A Zhuang, Y Gu, Y Su, W Chen ACL 2023, 2023 | 106 | 2023 |
| Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments Y Gu, X Deng, Y Su 🏆 ACL 2023 (Outstanding Paper Award), 2023 | 91 | 2023 |
| FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering Z Li, S Fan, Y Gu, X Li, Z Duan, B Dong, N Liu, J Wang AAAI 2024, 2023 | 79 | 2023 |
| ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering Y Gu, Y Su 🏆 COLING 2022 (Outstanding Paper Award), 2022 | 74 | 2022 |
| HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models BJ Gutiérrez, Y Shu, Y Gu, M Yasunaga, Y Su NeurIPS 2024, 2024 | 47 | 2024 |
| Knowledge Base Question Answering: A Semantic Parsing Perspective Y Gu, V Pahuja, G Cheng, Y Su AKBC 2022, 2022 | 35 | 2022 |
| Clues Before Answers: Generation-Enhanced Multiple-Choice QA Z Huang, A Wu, J Zhou, Y Gu, Y Zhao, G Cheng NAACL 2022, 2022 | 30 | 2022 |
| VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents X Liu*, T Zhang*, Y Gu*, IL Iong, Y Xu, X Song, S Zhang, H Lai, X Liu, ... ICLR 2025, 2024 | 27* | 2024 |
| Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments Y Gu, Y Shu, H Yu, X Liu, Y Dong, J Tang, J Srinivasa, H Latapie, Y Su EMNLP 2024, 2024 | 26 | 2024 |
| Relevance Search over Schema-Rich Knowledge Graphs Y Gu, T Zhou, G Cheng, Z Li, JZ Pan, Y Qu WSDM 2019, 114-122, 2019 | 23 | 2019 |
| ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval T Lin, Q Chen, G Cheng, A Soylu, B Ell, R Zhao, Q Shi, X Wang, Y Gu, ... SIGIR 2022, 2981-2991, 2022 | 15 | 2022 |
| Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents Y Gu*, B Zheng*, B Gou, K Zhang, C Chang, S Srivastava, Y Xie, P Qi, ... arXiv preprint arXiv:2411.06559, 2024 | 7 | 2024 |
| Local ABox Consistency Prediction with Transparent TBoxes Using Gated Graph Neural Networks Y Gu, J Pan, G Cheng, H Paulheim, G Stoilos 14th International Workshop on Neural-Symbolic Learning and Reasoning, 48-53, 2019 | 5 | 2019 |
| Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs V Pahuja, W Luo, Y Gu, CH Tu, HY Chen, T Berger-Wolf, C Stewart, ... ACM International Conference on Information and Knowledge Management (CIKM), 2024 | 3* | 2024 |
| A Systematic Investigation of KB-Text Embedding Alignment at Scale V Pahuja, Y Gu, W Chen, M Bahrami, L Liu, WP Chen, Y Su ACL 2021, 1764–1774, 2021 | 3 | 2021 |
| TRAVERS: A Diversity-Based Dynamic Approach to Iterative Relevance Search over Knowledge Graphs Z Li, Y Gu, Y Shen, W Hu, G Cheng WWW 2023, 2560-2571, 2023 | 1 | 2023 |
Yu SuDistinguished Assistant Professor, Computer Science and Engineering, Ohio State UniversityVerified email at osu.edu
