🧑‍🔬 Who cites Joseph Boen

116 citations of their works from 116 papers of our library (of the 149,439 whose bibliographies we read) · 37 with a page here, the most cited first · ← Joseph Boen

1. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
2. AFlow: Automating Agentic Workflow GenerationarXiv:2410.10762Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, et al.2024 · 95 citations
3. Automated Design of Agentic SystemsarXiv:2408.08435Shengran Hu, Cong Lu, Jeff Clune2024 · 89 citations
4. Reinforcement Learning via Self-DistillationarXiv:2601.20802Jonas Hubotter, Frederike Lubeck, Lejs Behric, et al.2026 · 74 citations
5. From Decoding to Meta-Generation: Inference-time Algorithms for Large Language ModelsarXiv:2406.16838Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.2024 · 51 citations
6. A Systematic Survey of Automatic Prompt Optimization TechniquesConference on Empirical Methods in Natural Language Processing (EMNLP)Kiran Ramnath, Kang Zhou, Sheng Guan, et al.2025 · 40 citations
7. Dynamic Cheatsheet: Test-Time Learning with Adaptive MemoryConference of the European Chapter of the Association for Computational Linguistics (EACL)Mirac Suzgun, Mert Yuksekgonul, Federico Bianchi, et al.2026 · 37 citations
8. ReCreate: Reasoning and Creating Domain Agents Driven by ExperienceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhezheng Hao, Hong Wang, Jian Luo, et al.2026 · 8 citations
9. EVOTOOL: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware SelectionAnnual Meeting of the Association for Computational Linguistics (ACL)Shuo Yang, Caren Han, Xueqi Ma, et al.2026 · 6 citations
10. What Prompts Don't Say: Understanding and Managing Underspecification in LLM PromptsFindings of the Association for Computational LinguisticsChenyang Yang, Yike Shi, Qianou Ma, et al.2026 · 6 citations
11. Mem²Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Zihao Cheng, Zeming Liu, Yingyu Shan, et al.2026 · 5 citations
12. Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided VerificationFindings of the Association for Computational LinguisticsYuxuan Wan, Tianqing Fang, Zaitang LI, et al.2026 · 4 citations
13. Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement LearningFindings of the Association for Computational LinguisticsWenjin Liu, Haoran Luo, Xueyuan Lin, et al.2026 · 3 citations
14. Rethinking Prompt Optimizers: From Prompt Merits to OptimizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Zixiao Zhu, Hanzhang Zhou, Zijian Feng, et al.2026 · 3 citations
15. Self-Evolving Multi-Agent Systems via Textual BackpropagationFindings of the Association for Computational LinguisticsXiaowen Ma, Yunpu Ma, Chenyang Lin, et al.2026 · 3 citations
16. EvoRoute: Experience-Driven Self-Routing LLM Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Guibin Zhang, Haiyang Yu, Kaiming Yang, et al.2026 · 2 citations
17. One Refiner to Unlock Them All: Inference-Time Reasoning Elicitation via Reinforcement Query RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Yixiao Zhou, Dongzhou Cheng, Zhiliang wu, et al.2026 · 2 citations
18. promptolution: A Unified, Modular Framework for Prompt OptimizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Tom Zehle, Timo Heiß, Moritz Schlager, et al.2026 · 2 citations
19. Context-attended Adversarial Reinforcement Learning for Robust Multi-step Retrieval Augmented GenerationFindings of the Association for Computational LinguisticsYingtao Ren, Xiao Luo, Yu-Cheng Chang, et al.2026 · 1 citation
20. Knowing When Not to Answer: Lightweight KB-Aligned OOD Detection for Safe RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Ilias Triantafyllopoulos, Renyi Qu, Salvatore Giorgi, et al.2026 · 1 citation
21. Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search TrajectoriesAnnual Meeting of the Association for Computational Linguistics (ACL)Peiyang Liu, Zhirui Chen, Xi Wang, et al.2026 · 1 citation
22. Yam at SemEval-2026 Task 4: Failure-Driven Prompt Evolution for Narrative ComparisonInternational Workshop on Semantic Evaluation (SemEval)Yen Yee Yam, Hong Meng Yam2026 · 1 citation
23. Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based OptimizersConference of the European Chapter of the Association for Computational Linguistics (EACL)Andrew Zhao, Reshmi Ghosh, Vitor R. Carvalho, et al.2026
24. BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow GenerationFindings of the Association for Computational LinguisticsBo Yuan, Yun Zhou, Zhichao Xu, et al.2026
25. Beyond Static Toolsets: Self-Evolving LLM Tool Agents via Continual Documentation AdaptationFindings of the Association for Computational LinguisticsBin Wu, Edgar Meij, Emine Yilmaz2026
26. CoDial: Interpretable Task-Oriented Dialogue Systems Through Dialogue Flow AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Radin Shayanfar, Chu Fei Luo, Rohan V Bhambhoria, et al.2026
27. Evaluating Memory Capability in Continuous Lifelog ScenarioFindings of the Association for Computational LinguisticsJianjie Zheng, Zhichen Liu, Zhanyu Shen, et al.2026
28. Feedback-Aware Prompt Optimization Framework for Generating Job PostingsConference of the European Chapter of the Association for Computational Linguistics (EACL)Suraj Maharjan, Ainur Yessenalina, Srinivasan H. Sengamedu2026
29. FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiang Wang, Zongtao Yang, Zhuojian Hong, et al.2026
30. GBC: Gradient-Based Connections for Optimizing Multi-Agent SystemsAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Xiaocheng Yang, Abdulrahman Alrabah, Dilek Hakkani-Tür, et al.2026
31. Gradient-Guided Multi-Judge Prompt OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)ChenZhuo Zhao, Xinda Wang, Pu Zhao, et al.2026
32. Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Derong Xu, Shuochen Liu, Pengfei Luo, et al.2026
33. Reasoning as Gradient: Scaling MLE Agents Beyond Tree SearchFindings of the Association for Computational LinguisticsYifei Zhang, Xu Yang, Xiao Yang, et al.2026
34. Self-Reflective Generation at Test TimeAnnual Meeting of the Association for Computational Linguistics (ACL)Jian Mu, Qixin Zhang, Zhiyong Wang, et al.2026
35. Small Agents, Big Gains: Journey-Aware and Critic-Guided Simulation for Long-Horizon Shopping DialoguesAnnual Meeting of the Association for Computational Linguistics (ACL)Qing Ping, Changyou Chen, Binxuan Huang2026
36. Thesis Proposal: Toward a Human-Centered and Perspective-Aware Framework for Reproducible ML Evaluation and AI AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Deepak Pandita, Christopher M. Homan2026
37. To Write or to Automate Linguistic Prompts, That Is the QuestionAnnual Conference of the European Association for Machine Translation (EAMT)Marina Sánchez-Torrón, Daria Akselrod, Jason Rauchwerk2026

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