--- title: "Who cites Autonomous Evaluation and — 50 citing papers" description: "50 papers of the Elamur Research library cite «Autonomous Evaluation and Refinement of Digital Agents», found in their bibliographies; the…" canonical: "https://research.elamur.ai/free/en/papers/pan-2024-autonomous-evaluation-refinement-digital-agents/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/pan-2024-autonomous-evaluation-refinement-digital-agents/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Autonomous Evaluation and Refinement of Digital…](https://md.research.elamur.ai/free/en/papers/pan-2024-autonomous-evaluation-refinement-digital-agents/) / cited by # Who cites «Autonomous Evaluation and Refinement of Digital Agents» 50 papers of our library cite it (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · [← back to «Autonomous Evaluation and Refinement of Digital Agents»](https://md.research.elamur.ai/free/en/papers/pan-2024-autonomous-evaluation-refinement-digital-agents/) 1. [**OpenHands: An Open Platform for AI Software Developers as Generalist Agents arXiv:2407.16741**Xingyao Wang, Boxuan Li, Yufan Song, et al.*2024 · 221 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-openhands-open-platform-ai/) 2. **[Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs](https://md.research.elamur.ai/free/en/papers/ong-2024-optimizing-instructions-demonstrations-multi-stage/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Krista Opsahl-Ong, Michael J Ryan, Josh Purtell, et al.*2024 · 99 citations* 3. [**Agent Workflow Memory arXiv:2409.07429**Zora Zhiruo Wang, Jiayuan Mao, Daniel Fried, et al.*2024 · 86 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-agent-workflow-memory/) 4. [**AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents arXiv:2405.14573**Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, et al.*2024 · 82 citations*](https://md.research.elamur.ai/free/en/papers/rawles-2024-androidworld-dynamic-benchmarking-environment-autonomous/) 5. [**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/) 6. [**Tree Search for Language Model Agents arXiv:2407.01476**Jing Yu Koh, Stephen McAleer, Daniel Fried, et al.*2024 · 61 citations*](https://md.research.elamur.ai/free/en/papers/koh-2024-tree-search-language-model-agents/) 7. [**Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks arXiv:2411.04468**Adam Fourney, Gagan Bansal, Hussein Mozannar, et al.*2024 · 54 citations*](https://md.research.elamur.ai/free/en/papers/fourney-2024-magentic-one-generalist-multi/) 8. [**From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models arXiv:2406.16838**Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.*2024 · 51 citations*](https://md.research.elamur.ai/free/en/papers/welleck-2024-decoding-meta-generation-inference-time/) 9. [**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/) 10. **[OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis](https://md.research.elamur.ai/free/en/papers/sun-2025-os-genesis-automating-gui-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qiushi Sun, Kanzhi Cheng, Zichen Ding, et al.*2025 · 48 citations* 11. **[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* 12. **[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* 13. **[How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following Behavior](https://md.research.elamur.ai/free/en/papers/xiong-2026-how-memory-management-impacts-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zidi Xiong, Yuping Lin, Wenya Xie, et al.*2026 · 13 citations* 14. **[Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification](https://md.research.elamur.ai/free/en/papers/wan-2026-inference-time-scaling-verification-self/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuxuan Wan, Tianqing Fang, Zaitang LI, et al.*2026 · 4 citations* 15. **[WebDART: Dynamic Decomposition and Re-planning for Complex Web Tasks](https://md.research.elamur.ai/free/en/papers/yang-2026-webdart-dynamic-decomposition-re-planning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jingbo Yang, Bairu Hou, Wei Wei, et al.*2026 · 2 citations* 16. **[RAFFLES: Reasoning-based Attribution of Faults for LLM Systems](https://md.research.elamur.ai/free/en/papers/zhu-2026-raffles-reasoning-based-attribution-faults/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Chenyang Zhu, Spencer Hong, Jingyu Wu, et al.*2026 · 1 citation* 17. **[Navigating the Infinite Dynamic Web Space: Effective In-Context Exploration via Cognitive Multi-Agent Collaboration](https://md.research.elamur.ai/free/en/papers/mo-2026-navigating-infinite-dynamic-web-space/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Guozhao Mo, Yanjiang Liu, Yafei Shi, et al.*2026* 18. **[The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check](https://md.research.elamur.ai/free/en/papers/lu-2026-bitter-lesson-diffusion-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingyu Lu, Liang Ding, Kanjian Zhang, et al.*2026* 19. **[When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgents](https://md.research.elamur.ai/free/en/papers/ning-2026-when-efficiency-becomes-vulnerability-computational/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liang-Bo Ning, Yuchen Zhu, Heqing Huang, et al.*2026* 31 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/pan-2024-autonomous-evaluation-refinement-digital-agents/) — Autonomous Evaluation and Refinement of Digital Agents