---
title: "Who cites Jiayi Pan — 261 papers of our library"
description: "261 papers of the Elamur Research library cite the works of Jiayi Pan, found in their bibliographies · page 1 of 2 · 1–100; the most cited first."
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---
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# Who cites Jiayi Pan

265 citations of their works from 261 papers of our library (of the 149,439 whose bibliographies we read) · 106 with a page here, the most cited first · page 1 of 2 · 1–100 · [← Jiayi Pan](https://md.research.elamur.ai/free/en/authors/jiayi-pan/)

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1. [**Tulu 3: Pushing Frontiers in Open Language Model Post-Training arXiv:2411.15124**Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.*2024 · 423 citations*](https://md.research.elamur.ai/free/en/papers/lambert-2024-tulu-3-pushing-frontiers-open/)
2. **[A-MEM: Agentic Memory for LLM Agents](https://md.research.elamur.ai/free/en/papers/xu-2025-mem-agentic-memory-llm-agents/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Wujiang Xu, Zujie Liang, Kai Mei, et al.*2025 · 178 citations*
3. [**GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models arXiv:2508.06471**Aohan Zeng, Xin Lv, Qinkai Zheng, et al.*2025 · 166 citations*](https://md.research.elamur.ai/free/en/papers/team-2025-4-glm-4-5-agentic/)
4. [**SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training arXiv:2501.17161**Tianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.*2025 · 160 citations*](https://md.research.elamur.ai/free/en/papers/chu-2025-sft-memorizes-rl-generalizes-comparative/)
5. [**Training Language Models to Self-Correct via Reinforcement Learning arXiv:2409.12917**Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, et al.*2024 · 159 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2024-training-language-models-self-correct/)
6. [**Agent Laboratory: Using LLM Agents as Research Assistants arXiv:2501.04227**Samuel Schmidgall, Yusheng Su, Ze Wang, et al.*2025 · 139 citations*](https://md.research.elamur.ai/free/en/papers/schmidgall-2025-agent-laboratory-using-llm/)
7. [**Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models arXiv:2501.09686**Fengli Xu, Qianyue Hao, Zefang Zong, et al.*2025 · 120 citations*](https://md.research.elamur.ai/free/en/papers/xu-2025-towards-large-reasoning-models-survey/)
8. **[R-Judge: Benchmarking Safety Risk Awareness for LLM Agents](https://md.research.elamur.ai/free/en/papers/yuan-2024-r-judge-benchmarking-safety-risk/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tongxin Yuan, Zhiwei He, Lingzhong Dong, et al.*2024 · 106 citations*
9. **[A Survey of Reinforcement Learning from Human Feedback](https://md.research.elamur.ai/free/en/papers/kaufmann-2023-survey-reinforcement-learning-human-feedback/) [Transactions on Machine Learning Research](https://md.research.elamur.ai/free/en/venues/transactions-on-machine-learning-research/)**Timo Kaufmann, Paul Weng, Viktor Bengs, et al.*2023 · 92 citations*
10. **[Data Interpreter: An LLM Agent for Data Science](https://md.research.elamur.ai/free/en/papers/hong-2025-data-interpreter-llm-agent-data/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sirui Hong, Yizhang Lin, Bang Liu, et al.*2025 · 91 citations*
11. [**Why Do Multi-Agent LLM Systems Fail? arXiv:2503.13657**Mert Cemri, Melissa Z. Pan, Shuyi Yang, et al.*2025 · 89 citations*](https://md.research.elamur.ai/free/en/papers/cemri-2025-why-multi-agent-llm/)
12. **[OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models](https://md.research.elamur.ai/free/en/papers/huang-2025-opencoder-open-cookbook-top-tier/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Siming Huang, Tianhao Cheng, Jason Klein Liu, et al.*2025 · 81 citations*
13. [**ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery arXiv:2410.05080**Ziru Chen, Shijie Chen, Yuting Ning, et al.*2024 · 81 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-scienceagentbench-rigorous-assessment-language/)
14. **[Recursive Introspection: Teaching Language Model Agents How to Self-Improve](https://md.research.elamur.ai/free/en/papers/qu-2024-recursive-introspection-teaching-language-model/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yuxiao Qu, Tianjun Zhang, Naman Garg, et al.*2024 · 75 citations*
15. [**RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning arXiv:2504.20073**Zihan Wang, Kangrui Wang, Qineng Wang, et al.*2025 · 71 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-ragen-understanding-self-evolution-llm/)
16. **[Group-in-Group Policy Optimization for LLM Agent Training](https://md.research.elamur.ai/free/en/papers/feng-2025-group-group-policy-optimization-llm/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Lang Feng, Zhenghai Xue, Tingcong Liu, et al.*2025 · 69 citations*
17. [**Kevin: Multi-Turn RL for Generating CUDA Kernels arXiv 2025**Carlo Baronio, Pietro Marsella, Ben Pan, et al.*2025 · 69 citations*](https://md.research.elamur.ai/free/en/papers/baronio-2025-kevin-multi-turn-rl-generating/)
18. [**Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents arXiv:2408.07199**Pranav Putta, Edmund Mills, Naman Garg, et al.*2024 · 68 citations*](https://md.research.elamur.ai/free/en/papers/putta-2024-agent-q-advanced-reasoning-learning/)
19. **[TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks](https://md.research.elamur.ai/free/en/papers/xu-2024-theagentcompany-benchmarking-llm-agents/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Frank F. Xu, Yufan Song, Boxuan Li, et al.*2024 · 68 citations*
20. [**A Comprehensive Survey on Long Context Language Modeling arXiv:2503.17407**Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.*2025 · 64 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-comprehensive-survey-long-context-language/)
21. **[SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution](https://md.research.elamur.ai/free/en/papers/wei-2025-swe-rl-advancing-llm-reasoning/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yuxiang Wei, Olivier Duchenne, Jade Copet, et al.*2025 · 64 citations*
22. [**RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning arXiv:2410.02089**Jonas Gehring, Kunhao Zheng, Jade Copet, et al.*2024 · 51 citations*](https://md.research.elamur.ai/free/en/papers/gehring-2024-rlef-grounding-code-llms-execution/)
23. [**MLGym: A New Framework and Benchmark for Advancing AI Research Agents arXiv:2502.14499**Deepak Nathani, Lovish Madaan, Nicholas Roberts, et al.*2025 · 50 citations*](https://md.research.elamur.ai/free/en/papers/nathani-2025-mlgym-new-framework-benchmark/)
24. [**Agent-as-a-Judge: Evaluate Agents with Agents arXiv:2410.10934**Mingchen Zhuge, Changsheng Zhao, Dylan Ashley, et al.*2024 · 50 citations*](https://md.research.elamur.ai/free/en/papers/zhuge-2024-agent-judge-evaluate-agents/)
25. [**Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents arXiv:2505.22954**Jenny Zhang, Shengran Hu, Cong Lu, et al.*2025 · 47 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-darwin-godel-machine-open/)
26. [**Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought arXiv:2501.04682**Violet Xiang, Charlie Snell, Kanishk Gandhi, et al.*2025 · 47 citations*](https://md.research.elamur.ai/free/en/papers/xiang-2025-towards-system-2-reasoning-llms/)
27. [**RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts arXiv:2411.15114**Hjalmar Wijk, Tao Lin, Joel Becker, et al.*2024 · 46 citations*](https://md.research.elamur.ai/free/en/papers/wijk-2024-re-bench-evaluating-frontier/)
28. [**The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks arXiv:2502.08235**Alejandro Cuadron, Dacheng Li, Wenjie Ma, et al.*2025 · 41 citations*](https://md.research.elamur.ai/free/en/papers/cuadron-2025-danger-overthinking-examining-reasoning-action/)
29. [**AgentRxiv: Towards Collaborative Autonomous Research arXiv:2503.18102**Samuel Schmidgall, Michael Moor*2025 · 39 citations*](https://md.research.elamur.ai/free/en/papers/schmidgall-2025-agentrxiv-collaborative-autonomous-research/)
30. **[WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wei-2025-webagent-r1-training-web-agents/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhepei Wei, Wenlin Yao, Yao Liu, et al.*2025 · 36 citations*
31. [**AgentGym: Evolving Large Language Model-based Agents across Diverse Environments arXiv:2406.04151**Zhiheng Xi, Yiwen Ding, Wenxiang Chen, et al.*2024 · 33 citations*](https://md.research.elamur.ai/free/en/papers/xi-2024-agentgym-evolving-large-language-model/)
32. **[SelfCodeAlign: Self-Alignment for Code Generation](https://md.research.elamur.ai/free/en/papers/wei-2024-selfcodealign-self-alignment-code-generation/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yuxiang Wei, Federico Cassano, Jiawei Liu, et al.*2024 · 32 citations*
33. **[LLM Agents Making Agent Tools](https://md.research.elamur.ai/free/en/papers/wolflein-2025-llm-agents-making-agent-tools/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Georg Wölflein, Dyke Ferber, Daniel Truhn, et al.*2025 · 27 citations*
34. **[LocAgent: Graph-Guided LLM Agents for Code Localization](https://md.research.elamur.ai/free/en/papers/chen-2025-locagent-graph-guided-llm-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaoling Chen, Robert Tang, Gangda Deng, et al.*2025 · 27 citations*
35. [**Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning arXiv:2512.20848**NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant, et al.*2025 · 27 citations*](https://md.research.elamur.ai/free/en/papers/blakeman-2025-nemotron-3-nano-open-efficient/)
36. [**UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning arXiv:2509.02544**Haoming Wang, Haoyang Zou, Huatong Song, et al.*2025 · 26 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-ui-tars-2-technical/)
37. [**Seed-Coder: Let the Code Model Curate Data for Itself arXiv:2506.03524**ByteDance Seed, Yuyu Zhang, Jing Su, et al.*2025 · 25 citations*](https://md.research.elamur.ai/free/en/papers/bytedance-seed-2025-seed-coder-let-code/)
38. **[Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation](https://md.research.elamur.ai/free/en/papers/eger-2025-transforming-science-large-language-models/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Steffen Eger, Yong Cao, Jennifer D'Souza, et al.*2025 · 25 citations*
39. [**SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement arXiv:2410.20285**Antonis Antoniades, Albert Orwall, Kexun Zhang, et al.*2024 · 22 citations*](https://md.research.elamur.ai/free/en/papers/antoniades-2024-swe-search-enhancing-software-agents/)
40. **[AI4Research: A Survey of Artificial Intelligence for Scientific Research](https://md.research.elamur.ai/free/en/papers/chen-2025-ai4research-survey-artificial-intelligence/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Mingda Yang, Libo Qin, et al.*2025 · 21 citations*
41. [**InternAgent: When Agent Becomes the Scientist — Building Closed-Loop System from Hypothesis to Verification arXiv:2505.16938**InternAgent Team, Bo Zhang, Shiyang Feng, et al.*2025 · 21 citations*](https://md.research.elamur.ai/free/en/papers/team-2025-internagent-agent-becomes-scientist/)
42. **[MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research](https://md.research.elamur.ai/free/en/papers/chen-2025-mlr-bench-evaluating-ai/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hui Chen, Miao Xiong, Yujie Lu, et al.*2025 · 21 citations*
43. [**Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents arXiv:2502.16069**Patrick Tser Jern Kon, Jiachen Liu, Qiuyi Ding, et al.*2025 · 20 citations*](https://md.research.elamur.ai/free/en/papers/kon-2025-curie-rigorous-automated-scientific/)
44. **[StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/yu-2024-steptool-enhancing-multi-step-tool/) [ACM International Conference on Information and Knowledge Management (CIKM)](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-information-and-knowledge-management-cikm/)**Yuanqing Yu, Zhefan Wang, Weizhi Ma, et al.*2024 · 20 citations*
45. [**AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite arXiv:2510.21652**Jonathan Bragg, Mike D'Arcy, Nishant Balepur, et al.*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/bragg-2025-astabench-rigorous-benchmarking-ai-agents/)
46. **[Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs](https://md.research.elamur.ai/free/en/papers/yang-2025-code-think-think-code-survey/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Dayu Yang, Tianyang Liu, Daoan Zhang, et al.*2025 · 19 citations*
47. **[A Survey of Post-Training Scaling in Large Language Models](https://md.research.elamur.ai/free/en/papers/lai-2025-survey-post-training-scaling-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hanyu Lai, Xiao Liu, Junjie Gao, et al.*2025 · 18 citations*
48. [**EXP-Bench: Can AI Conduct AI Research Experiments? arXiv:2505.24785**Patrick Tser Jern Kon, Jiachen Liu, Xinyi Zhu, et al.*2025 · 17 citations*](https://md.research.elamur.ai/free/en/papers/kon-2025-exp-bench-ai-conduct/)
49. [**Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation arXiv:2603.19220**Zhuolin Yang, Zihan Liu, Yang Chen, et al.*2026 · 16 citations*](https://md.research.elamur.ai/free/en/papers/yang-2026-nemotron-cascade-2-post-training/)
50. [**Qwen3-Coder-Next Technical Report arXiv:2603.00729**Ruisheng Cao, Mouxiang Chen, Jiawei Chen, et al.*2026 · 15 citations*](https://md.research.elamur.ai/free/en/papers/cao-2026-qwen3-coder-next-technical/)
51. **[AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents](https://md.research.elamur.ai/free/en/papers/tang-2026-autoagent-fully-automated-zero-code/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiabin Tang, Tianyu Fan, Chao Huang*2026 · 13 citations*
52. **[CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks](https://md.research.elamur.ai/free/en/papers/jiang-2026-codejudgebench-benchmarking-llm-as-judge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongchao Jiang, Yiming Chen, Yushi Cao, et al.*2026 · 13 citations*
53. **[MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?](https://md.research.elamur.ai/free/en/papers/zhang-2025-mlrc-bench-language-agents/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yunxiang Zhang, Muhammad Khalifa, Shitanshu Bhushan, et al.*2025 · 13 citations*
54. **[Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case Study](https://md.research.elamur.ai/free/en/papers/li-2025-prompting-large-language-models-tackle/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Bowen Li, Wenhan Wu, Ziwei Tang, et al.*2025 · 13 citations*
55. [**LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research arXiv:2506.17335**Shuo Yan, Ruochen Li, Ziming Luo, et al.*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/yan-2025-lmr-bench-evaluating-llm/)
56. [**Distilling LLM Agent into Small Models with Retrieval and Code Tools arXiv:2505.17612**Minki Kang, Jongwon Jeong, Seanie Lee, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/kang-2025-distilling-llm-agent-small-models/)
57. [**Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation arXiv:2510.11977**Sayash Kapoor, Benedikt Stroebl, Peter Kirgis, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/kapoor-2025-holistic-agent-leaderboard-missing/)
58. [**CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery arXiv:2604.01658**Ao Qu, Han Zheng, Zijian Zhou, et al.*2026 · 9 citations*](https://md.research.elamur.ai/free/en/papers/qu-2026-coral-towards-autonomous-multi-agent/)
59. **[Problem Solving Through Human–AI Preference-based Cooperation](https://md.research.elamur.ai/free/en/papers/dutta-2025-problem-solving-through-human-ai/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Subhabrata Dutta, Timo Kaufmann, Goran Glavaš, et al.*2025 · 9 citations*
60. [**Web-Bench: A LLM Code Benchmark Based on Web Standards and Frameworks arXiv:2505.07473**Kai Xu, YiWei Mao, XinYi Guan, et al.*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/xu-2025-web-bench-llm-code-benchmark/)
61. **[ReCreate: Reasoning and Creating Domain Agents Driven by Experience](https://md.research.elamur.ai/free/en/papers/hao-2026-recreate-reasoning-creating-domain-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhezheng Hao, Hong Wang, Jian Luo, et al.*2026 · 8 citations*
62. [**PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier arXiv:2506.10406**Yuhua Jiang, Yuwen Xiong, Yufeng Yuan, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2025-pag-multi-turn-reinforced-llm/)
63. **[Android Coach: Improve Online Agentic Training Efficiency with Single State Multiple Actions](https://md.research.elamur.ai/free/en/papers/gan-2026-android-coach-improve-online-agentic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guo Gan, Yuxuan Ding, Cong Chen, et al.*2026 · 7 citations*
64. **[Scaling Collaborative Effort with Agents](https://md.research.elamur.ai/free/en/papers/shen-2026-scaling-collaborative-effort-agents/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shannon Zejiang Shen, Valerie Chen, Ken Gu, et al.*2026 · 7 citations*
65. **[SWE-QA: Can Language Models Answer Repository-level Code Questions?](https://md.research.elamur.ai/free/en/papers/peng-2026-swe-qa-can-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weihan Peng, Yuling Shi, Yuhang Wang, et al.*2026 · 7 citations*
66. [**The SWE-Bench Illusion: When State-of-the-Art LLMs Remember Instead of Reason arXiv:2506.12286**Shanchao Liang, Spandan Garg, Roshanak Zilouchian Moghaddam*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/liang-2025-swe-bench-illusion-state/)
67. **[From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction Tuning](https://md.research.elamur.ai/free/en/papers/zhang-2026-completion-editing-unlocking-context-aware/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiajun Zhang, Zeyu Cui, Jiaxi Yang, et al.*2026 · 6 citations*
68. [**InnovatorBench: Evaluating Agents' Ability to Conduct Innovative LLM Research arXiv:2510.27598**Yunze Wu, Dayuan Fu, Weiye Si, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/wu-2025-innovatorbench-evaluating-agents-ability-conduct/)
69. [**AI for Auto-Research: Roadmap & User Guide arXiv:2605.18661**Lingdong Kong, Xian Sun, Wei Chow, et al.*2026 · 5 citations*](https://md.research.elamur.ai/free/en/papers/kong-2026-ai-auto-research-roadmap-user/)
70. **[Coding Agents with Multimodal Browsing are Generalist Problem Solvers](https://md.research.elamur.ai/free/en/papers/soni-2026-coding-agents-multimodal-browsing-are/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Aditya Bharat Soni, Boxuan Li, Xingyao Wang, et al.*2026 · 5 citations*
71. **[AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts](https://md.research.elamur.ai/free/en/papers/li-2026-agencybench-benchmarking-frontiers-autonomous-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Keyu Li, Junhao Shi, Yang Xiao, et al.*2026 · 4 citations*
72. **[Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities](https://md.research.elamur.ai/free/en/papers/oh-2026-uncertainty-quantification-llm-agents-foundations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Changdae Oh, Seongheon Park, To Eun Kim, et al.*2026 · 4 citations*
73. **[DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree Traversal](https://md.research.elamur.ai/free/en/papers/aggarwal-2025-dars-dynamic-action-re-sampling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vaibhav Aggarwal, Ojasv Kamal, Abhinav Japesh, et al.*2025 · 4 citations*
74. [**Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents arXiv:2509.23045**Zonghan Yang, Shengjie Wang, Kelin Fu, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/yang-2025-kimi-dev-agentless-training/)
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