Yu Su — all works
- LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language ModelsIEEE/CVF International Conference on Computer Vision (ICCV)Chan Hee Song, Jiaman Wu, Clayton Washington, et al.2022 · 574 citations
- Mind2Web: Towards a Generalist Agent for the WebConference on Neural Information Processing Systems (NeurIPS)Xiang Deng, Yu Gu, Boyuan Zheng, et al.2023 · 413 citations
- MAmmoTH: Building Math Generalist Models through Hybrid Instruction TuningarXiv:2309.05653Xiang Yue, Xingwei Qu, Ge Zhang, et al.2023 · 295 citations
- HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Bernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.2024 · 268 citations
- Logical Natural Language Generation from Open-Domain TablesAnnual Meeting of the Association for Computational Linguistics (ACL)Wenhu Chen, Jianshu Chen, Yu Su, et al.2020 · 210 citations
- Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases ↗arXiv:2011.07743 · no summary yetYu Gu et al.2020 · 183 citations
- Thinking about GPT-3 In-Context Learning for Biomedical IE? Think AgainFindings of the Association for Computational LinguisticsBernal Jimenez Gutierrez, Nikolas McNeal, Clayton Washington, et al.2022 · 180 citations
- KGPT: Knowledge-Grounded Pre-Training for Data-to-Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Wenhu Chen, Yu Su, Xifeng Yan, et al.2020 · 174 citations
- Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge ConflictsarXiv:2305.13300Jian Xie, Kai Zhang, Jiangjie Chen, et al.2023 · 168 citations
- On Generating Characteristic-rich Question Sets for QA Evaluation ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetYu Su et al.2016 · 151 citations
- GPT-4V(ision) is a Generalist Web Agent, if GroundedarXiv:2401.01614Boyuan Zheng, Boyu Gou, Jihyung Kil, et al.2024 · 146 citations
- Few-shot In-context Learning on Knowledge Base Question Answering ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTianle Li et al.2023 · 129 citations
- TravelPlanner: A Benchmark for Real-World Planning with Language Agents ↗arXiv:2402.01622 · no summary yetJian Xie et al.2024 · 125 citations
- MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark ↗arXiv:2409.02813 · no summary yetXiang Yue et al.2024 · 123 citations
- MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing ↗neural information processing systems · no summary yetKai Zhang et al.2023 · 122 citations
- Cross-domain Semantic Parsing via Paraphrasing ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetYu Su, Xifeng Yan2017 · 121 citations
- Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsFindings of the Association for Computational LinguisticsKai Zhang, Bernal Jimenez Gutierrez, Yu Su2023 · 118 citations
- Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetZiyu Yao et al.2019 · 96 citations
- DialSQL: Dialogue Based Structured Query Generation ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetIzzeddin Gur et al.2018 · 94 citations
- From RAG to Memory: Non-Parametric Continual Learning for Large Language Models ↗arXiv:2502.14802 · no summary yetBernal Jimenez Gutierrez et al.2025 · 90 citations
- ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery ↗arXiv:2410.05080 · no summary yetZiru Chen et al.2024 · 81 citations
- Improving Semantic Parsing via Answer Type Inference ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetSemih Yavuz et al.2016 · 78 citations
- Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents ↗arXiv:2410.05243 · no summary yetBoyu Gou et al.2024 · 74 citations
- Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetPengcheng Yin et al.2021 · 72 citations
- An Illusion of Progress? Assessing the Current State of Web Agents ↗arXiv (Cornell University) · no summary yetXue, Tianci et al.2025 · 31 citations
- Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization ↗arXiv:2405.15071 · no summary yetBoshi Wang et al.2024 · 30 citations
- When is Tree Search Useful for LLM Planning? It Depends on the DiscriminatorAnnual Meeting of the Association for Computational Linguistics (ACL)Ziru Chen, Michael White, Ray Mooney, et al.2024 · 28 citations
- Agent Learning via Early Experience ↗arXiv:2510.08558 · no summary yetKai Zhang et al.2025 · 24 citations
- SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills ↗arXiv (Cornell University) · no summary yetZheng, Boyuan et al.2025 · 19 citations
- Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation ↗arXiv:2510.11977 · no summary yetSayash Kapoor et al.2025 · 11 citations
- Language Agents: Foundations, Prospects, and Risks ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts · no summary yetYu Su et al.2024 · 10 citations
- OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior SimulationAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyi Wang, Yuxuan Lu, Wenbo Li, et al.2026 · 8 citations
- WebGuard: Building a Generalizable Guardrail for Web Agents ↗arXiv (Cornell University) · no summary yetBoyuan Zheng et al.2025 · 4 citations
- When Benign Inputs Lead to Severe Harms: Eliciting Unsafe Unintended Behaviors of Computer-Use Agents ↗arXiv (Cornell University) · no summary yetJaylen Jones et al.2026
- SkillHarm: Lifecycle-Aware Skill-Based Attacks via Automated Construction ↗arXiv (Cornell University) · no summary yetYuting Ning et al.2026
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