---
title: "Yu Su — all works — Elamur Research"
description: "All 35 works of Yu Su in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/yu-su/works/"
---
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# Yu Su — all works

35 works · [← Yu Su](https://md.research.elamur.ai/free/en/authors/yu-su/)

1. **[LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models](https://md.research.elamur.ai/free/en/papers/song-2022-llm-planner-few-shot-grounded/) [IEEE/CVF International Conference on Computer Vision (ICCV)](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/)**Chan Hee Song, Jiaman Wu, Clayton Washington, et al.*2022 · 574 citations*
2. **[Mind2Web: Towards a Generalist Agent for the Web](https://md.research.elamur.ai/free/en/papers/deng-2023-mind2web-towards-generalist-agent-web/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Xiang Deng, Yu Gu, Boyuan Zheng, et al.*2023 · 413 citations*
3. [**MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning arXiv:2309.05653**Xiang Yue, Xingwei Qu, Ge Zhang, et al.*2023 · 295 citations*](https://md.research.elamur.ai/free/en/papers/yue-2023-mammoth-building-math-generalist-models/)
4. **[HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models](https://md.research.elamur.ai/free/en/papers/gutierrez-2024-hipporag-neurobiologically-inspired-long-term/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Bernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.*2024 · 268 citations*
5. **[Logical Natural Language Generation from Open-Domain Tables](https://md.research.elamur.ai/free/en/papers/chen-2020-logical-natural-language-generation-open/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenhu Chen, Jianshu Chen, Yu Su, et al.*2020 · 210 citations*
6. **[Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases ↗](https://doi.org/10.1145/3442381.3449992) arXiv:2011.07743 · no summary yet**Yu Gu et al.*2020 · 183 citations*
7. **[Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again](https://md.research.elamur.ai/free/en/papers/gutierrez-2022-thinking-about-gpt-3-context/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bernal Jimenez Gutierrez, Nikolas McNeal, Clayton Washington, et al.*2022 · 180 citations*
8. **[KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation](https://md.research.elamur.ai/free/en/papers/chen-2020-kgpt-knowledge-grounded-pre-training/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenhu Chen, Yu Su, Xifeng Yan, et al.*2020 · 174 citations*
9. [**Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts arXiv:2305.13300**Jian Xie, Kai Zhang, Jiangjie Chen, et al.*2023 · 168 citations*](https://md.research.elamur.ai/free/en/papers/xie-2023-adaptive-chameleon-stubborn-sloth-revealing/)
10. **[On Generating Characteristic-rich Question Sets for QA Evaluation ↗](https://aclanthology.org/D16-1054/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yu Su et al.*2016 · 151 citations*
11. [**GPT-4V(ision) is a Generalist Web Agent, if Grounded arXiv:2401.01614**Boyuan Zheng, Boyu Gou, Jihyung Kil, et al.*2024 · 146 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2024-gpt-4v-ision-generalist-web/)
12. **[Few-shot In-context Learning on Knowledge Base Question Answering ↗](https://aclanthology.org/2023.acl-long.385/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Tianle Li et al.*2023 · 129 citations*
13. **[TravelPlanner: A Benchmark for Real-World Planning with Language Agents ↗](https://arxiv.org/abs/2402.01622) arXiv:2402.01622 · no summary yet**Jian Xie et al.*2024 · 125 citations*
14. **[MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark ↗](https://arxiv.org/abs/2409.02813) arXiv:2409.02813 · no summary yet**Xiang Yue et al.*2024 · 123 citations*
15. **[MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing ↗](https://doi.org/10.52202/075280-1365) neural information processing systems · no summary yet**Kai Zhang et al.*2023 · 122 citations*
16. **[Cross-domain Semantic Parsing via Paraphrasing ↗](https://aclanthology.org/D17-1127/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yu Su, Xifeng Yan*2017 · 121 citations*
17. **[Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors](https://md.research.elamur.ai/free/en/papers/zhang-2023-aligning-instruction-tasks-unlocks-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kai Zhang, Bernal Jimenez Gutierrez, Yu Su*2023 · 118 citations*
18. **[Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study ↗](https://aclanthology.org/D19-1547/) 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 yet**Ziyu Yao et al.*2019 · 96 citations*
19. **[DialSQL: Dialogue Based Structured Query Generation ↗](https://aclanthology.org/P18-1124/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Izzeddin Gur et al.*2018 · 94 citations*
20. **[From RAG to Memory: Non-Parametric Continual Learning for Large Language Models ↗](https://arxiv.org/abs/2502.14802) arXiv:2502.14802 · no summary yet**Bernal Jimenez Gutierrez et al.*2025 · 90 citations*
21. **[ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery ↗](https://arxiv.org/abs/2410.05080) arXiv:2410.05080 · no summary yet**Ziru Chen et al.*2024 · 81 citations*
22. **[Improving Semantic Parsing via Answer Type Inference ↗](https://aclanthology.org/D16-1015/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Semih Yavuz et al.*2016 · 78 citations*
23. **[Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents ↗](https://arxiv.org/abs/2410.05243) arXiv:2410.05243 · no summary yet**Boyu Gou et al.*2024 · 74 citations*
24. **[Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention ↗](https://aclanthology.org/2021.naacl-main.225/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Pengcheng Yin et al.*2021 · 72 citations*
25. **[An Illusion of Progress? Assessing the Current State of Web Agents ↗](https://arxiv.org/abs/2504.01382) arXiv (Cornell University) · no summary yet**Xue, Tianci et al.*2025 · 31 citations*
26. **[Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization ↗](https://arxiv.org/abs/2405.15071) arXiv:2405.15071 · no summary yet**Boshi Wang et al.*2024 · 30 citations*
27. **[When is Tree Search Useful for LLM Planning? It Depends on the Discriminator](https://md.research.elamur.ai/free/en/papers/chen-2024-when-is-tree-search-useful/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziru Chen, Michael White, Ray Mooney, et al.*2024 · 28 citations*
28. **[Agent Learning via Early Experience ↗](https://arxiv.org/abs/2510.08558) arXiv:2510.08558 · no summary yet**Kai Zhang et al.*2025 · 24 citations*
29. **[SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills ↗](https://arxiv.org/abs/2504.07079) arXiv (Cornell University) · no summary yet**Zheng, Boyuan et al.*2025 · 19 citations*
30. **[Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation ↗](https://arxiv.org/abs/2510.11977) arXiv:2510.11977 · no summary yet**Sayash Kapoor et al.*2025 · 11 citations*
31. **[Language Agents: Foundations, Prospects, and Risks ↗](https://aclanthology.org/2024.emnlp-tutorials.3/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts · no summary yet**Yu Su et al.*2024 · 10 citations*
32. **[OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation](https://md.research.elamur.ai/free/en/papers/wang-2026-opera-dataset-observation-persona-rationale/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziyi Wang, Yuxuan Lu, Wenbo Li, et al.*2026 · 8 citations*
33. **[WebGuard: Building a Generalizable Guardrail for Web Agents ↗](https://arxiv.org/abs/2507.14293) arXiv (Cornell University) · no summary yet**Boyuan Zheng et al.*2025 · 4 citations*
34. **[When Benign Inputs Lead to Severe Harms: Eliciting Unsafe Unintended Behaviors of Computer-Use Agents ↗](https://arxiv.org/abs/2602.08235) arXiv (Cornell University) · no summary yet**Jaylen Jones et al.*2026*
35. **[SkillHarm: Lifecycle-Aware Skill-Based Attacks via Automated Construction ↗](https://arxiv.org/abs/2606.02540) arXiv (Cornell University) · no summary yet**Yuting Ning et al.*2026*