Yiheng Shu

According to our database, Yiheng Shu authored at least 14 papers between 2019 and 2025.

Collaborative distances:

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

2025

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge.

Boyu Gou, Zanming Huang, Yuting Ning, Yu Gu, Michael Lin, Weijian Qi, Andrei Kopanev, Botao Yu, Bernal Jiménez Gutiérrez, Yiheng Shu, Chan Hee Song, Jiaman Wu, Shijie Chen, Hanane Nour Moussa, Tianshu Zhang, Jian Xie, Yifei Li, Tianci Xue, Zeyi Liao, Kai Zhang, Boyuan Zheng, Zhaowei Cai, Viktor Rozgic, Morteza Ziyadi, Huan Sun, Yu Su

CoRR, June, 2025

From RAG to Memory: Non-Parametric Continual Learning for Large Language Models.

Bernal Jiménez Gutiérrez, Yiheng Shu, Weijian Qi, Sizhe Zhou, Yu Su

CoRR, February, 2025

Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents.

Boyu Gou, Ruohan Wang, Boyuan Zheng, Yanan Xie, Cheng Chang, Yiheng Shu, Huan Sun, Yu Su

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models.

Bernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, Michihiro Yasunaga, Yu Su

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Distribution Shifts Are Bottlenecks: Extensive Evaluation for Grounding Language Models to Knowledge Bases.

Yiheng Shu, Zhiwei Yu

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Data Distribution Bottlenecks in Grounding Language Models to Knowledge Bases.

Yiheng Shu, Zhiwei Yu

CoRR, 2023

Question Decomposition Tree for Answering Complex Questions over Knowledge Bases.

Xiang Huang, Sitao Cheng, Yiheng Shu, Yuheng Bao, Yuzhong Qu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases.

Yiheng Shu, Zhiwei Yu, Yuhan Li, Börje F. Karlsson, Tingting Ma, Yuzhong Qu, Chin-Yew Lin

CoRR, 2022

TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base.

Yiheng Shu, Zhiwei Yu, Yuhan Li, Börje F. Karlsson, Tingting Ma, Yuzhong Qu, Chin-Yew Lin

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Logical Form Generation via Multi-task Learning for Complex Question Answering over Knowledge Bases.

Xixin Hu, Xuan Wu, Yiheng Shu, Yuzhong Qu

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

2021

EDG-Based Question Decomposition for Complex Question Answering over Knowledge Bases.

Xixin Hu, Yiheng Shu, Xiang Huang, Yuzhong Qu

Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021

2020

Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations.

Hui Fang, Danning Zhang, Yiheng Shu, Guibing Guo

ACM Trans. Inf. Syst., 2020

2019

Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations.

Hui Fang, Guibing Guo, Danning Zhang, Yiheng Shu

Proceedings of the Web Engineering - 19th International Conference, 2019