Yu Gu

According to our database, Yu Gu authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments.

Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su

CoRR, 2024

Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs.

Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Y. Berger-Wolf, Charles V. Stewart, Song Gao, Wei-Lun Chao, Yu Su

CoRR, 2024

2023

AgentBench: Evaluating LLMs as Agents.

Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang

CoRR, 2023

Mind2Web: Towards a Generalist Agent for the Web.

Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samuel Stevens, Boshi Wang, Huan Sun, Yu Su

CoRR, 2023

TRAVERS: A Diversity-Based Dynamic Approach to Iterative Relevance Search over Knowledge Graphs.

Ziyang Li, Yu Gu, Yulin Shen, Wei Hu, Gong Cheng

Proceedings of the ACM Web Conference 2023, 2023

Mind2Web: Towards a Generalist Agent for the Web.

Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samual Stevens, Boshi Wang, Huan Sun, Yu Su

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CompleQA: Benchmarking the Impacts of Knowledge Graph Completion Methods on Question Answering.

Donghan Yu, Yu Gu, Chenyan Xiong, Yiming Yang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Few-shot In-context Learning on Knowledge Base Question Answering.

Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su, Wenhu Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments.

Yu Gu, Xiang Deng, Yu Su

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval.

Tengteng Lin, Qiaosheng Chen, Gong Cheng, Ahmet Soylu, Basil Ell, Ruoqi Zhao, Qing Shi, Xiaxia Wang, Yu Gu, Evgeny Kharlamov

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Clues Before Answers: Generation-Enhanced Multiple-Choice QA.

Zixian Huang, Ao Wu, Jiaying Zhou, Yu Gu, Yue Zhao, Gong Cheng

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering.

Yu Gu, Yu Su

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Knowledge Base Question Answering: A Semantic Parsing Perspective.

Yu Gu, Vardaan Pahuja, Gong Cheng, Yu Su

Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

2021

Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases.

Yu Gu, Sue Kase, Michelle Vanni, Brian M. Sadler, Percy Liang, Xifeng Yan, Yu Su

Proceedings of the WWW '21: The Web Conference 2021, 2021

A Systematic Investigation of KB-Text Embedding Alignment at Scale.

Vardaan Pahuja, Yu Gu, Wenhu Chen, Mehdi Bahrami, Lei Liu, Wei-Peng Chen, Yu Su

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2019

Relevance Search over Schema-Rich Knowledge Graphs.

Yu Gu, Tianshuo Zhou, Gong Cheng, Ziyang Li, Jeff Z. Pan, Yuzhong Qu

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Local ABox Consistency Prediction with Transparent TBoxes Using Gated Graph Neural Networks.

Yu Gu, Jeff Z. Pan, Gong Cheng, Heiko Paulheim, Giorgos Stoilos

Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019

2018

Diversified and Verbalized Result Summarization for Semantic Association Search.

Yu Gu, Yue Liang, Gong Cheng, Daxin Liu, Ruidi Wei, Yuzhong Qu

Proceedings of the Web Information Systems Engineering - WISE 2018, 2018