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Who cites Bill Qian

724 citations of their works from 704 papers of our library (of the 149,439 whose bibliographies we read) · 245 with a page here, the most cited first · page 3 of 3 · 201–245 · ← Bill Qian

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  1. Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and BenchmarkFindings of the Association for Computational LinguisticsZihan Luo, Hong Huang, Jianxun Lian, et al.2026
  2. CANDICE: Agentic Causal Disentanglement with Class Conditional Knowledge Integration for Long Tailed Domain GeneralizationFindings of the Association for Computational LinguisticsMidhat Urooj, Ayan Banerjee, Sandeep Gupta2026
  3. CAR: Empowering Agents with Dynamic Tool Synthesis and Global Trajectory RectificationFindings of the Association for Computational LinguisticsKai Wang, Xu Wang, Zhiyuan Fu, et al.2026
  4. CARL: Constraint-Aware Reinforcement Learning for Planning with LLMsFindings of the Association for Computational LinguisticsQiuyi Qi, Jinjian Zhang, Mutian Bao, et al.2026
  5. ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science AnalysisFindings of the Association for Computational LinguisticsHao Wang, Jindong Han, Wei Fan, et al.2026
  6. Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient ConcentrationAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Zhao, Yangou Ouyang, Xiao Ding, et al.2026
  7. Contract-Coding: Towards Repo-Level Generation via Structured Symbolic ParadigmFindings of the Association for Computational LinguisticsYilin, Lujin Zhao, Yijie Shi2026
  8. CoVaPh: A Vision-Language Multi-Agent Dialogue System for Tool-Augmented Pharmacogenetic Reasoning and Personalized GuidanceInternational Workshop on Spoken Dialogue System TechnologyShang-Chun Luke Lu, Hsin Yang, Hui-Hsin Xue, et al.2026
  9. DaMo: Data Mixing Optimizer in Fine-tuning Multimodal LLMs for Mobile Phone AgentsFindings of the Association for Computational LinguisticsKai Shi, Jun Yang, Ni Yang, et al.2026
  10. Demystify the Role of Memory in Machine Learning Engineering AgentsFindings of the Association for Computational LinguisticsXinyu Zhao, Junpeng Wang, Yuzhong Chen, et al.2026
  11. Designing LLM Agents for User-Centered Language Service SelectionLanguage Resources and Evaluation Conference (LREC)Ryoichiro Ogawa, Donghui Lin, Fumito Uwano2026
  12. Dynamic Tool Dependency Retrieval for Lightweight Function CallingFindings of the Association for Computational LinguisticsBhrij Patel, Davide Belli, Amir Jalalirad, et al.2026
  13. EfficientTool: A Cost-Effective Aligning Framework for Tool-Conditioned Agents in SME ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanqi Mu, Bingfeng Pi, Defei Xia, et al.2026
  14. EVGeoQA: Benchmarking LLMs on Dynamic, Multi-Objective Geo-Spatial ExplorationFindings of the Association for Computational LinguisticsJianfei Wu, Zhichun Wang, Zhensheng Wang, et al.2026
  15. FalconCopilot: Empowering LLMs Towards Integrated Human-Machine Systems for Aviation AutonomyFindings of the Association for Computational LinguisticsJingyuan Yan, Qingchen Liu, Qichao Ma, et al.2026
  16. FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use EnvironmentsFindings of the Association for Computational LinguisticsAmir Saeidi, Venkatesh Mishra, Souradeep Mukhopadhyay, et al.2026
  17. From Individual Excellence to Collective Sustainability: Seeking Strategic Equilibrium in Proactive Multi-Agent TeamsFindings of the Association for Computational LinguisticsTong Zhang, Yang Wu, Yufei Shi, et al.2026
  18. FuseSearch: Learning Adaptive Parallel Execution for Efficient Code LocalizationFindings of the Association for Computational LinguisticsKe Xu, Siyang Xiao, Ming Liang, et al.2026
  19. GATE: Graph-based Adaptive Tool Evolution Across Diverse TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Jianwen Luo, Yiming Huang, Jinxiang Meng, et al.2026
  20. GCA Framework: A GCC Countries–Grounded Dataset and Agentic Pipeline for Climate Decision SupportAnnual Meeting of the Association for Computational Linguistics (ACL)Muhammad Umer Sheikh, Khawar Shehzad, Salman Khan, et al.2026
  21. GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-CallingAnnual Meeting of the Association for Computational Linguistics (ACL)Hao-Xiang Xu, Chong Deng, Jiaqing Liu, et al.2026
  22. GOAT: A Training Framework for Goal-Oriented Agent with ToolsFindings of the Association for Computational LinguisticsHyunji Min, Sangwon Jung, Junyoung Sung, et al.2026
  23. HARPO: Hierarchical Agentic Reasoning for User-Aligned Conversational RecommendationAnnual Meeting of the Association for Computational Linguistics (ACL)Subham Raj, Aman Vaibhav Jha, Mayank Anand, et al.2026
  24. HeteroCache: A Dynamic Retrieval Approach to Heterogeneous KV Cache Compression for Long-Context LLM InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Shi, Qibo Qiu, Xuefeng, et al.2026
  25. How Adversarial Environments Mislead Agentic AI?Findings of the Association for Computational LinguisticsZhonghao Zhan, Huichi Zhou, Zhenhao Li, et al.2026
  26. KARL: Reinforcement Learning for LLM Agents on Multi-Turn Knowledge-Intensive Agentic TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Xueqiao Sun, Xiao Liu, Bowen Lv, et al.2026
  27. Knowledge is Not Enough: Injecting RL Skills for Continual AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Pingzhi Tang, Yiding Wang, Muhan Zhang2026
  28. LCO: LLM-based Constraint Optimization for Safer Agentic LLMs in Real-world TasksFindings of the Association for Computational LinguisticsJiayong Wan, Jiawei Chen, Zhaoxia Yin, et al.2026
  29. LUMINA: Long-horizon Understanding for Multi-turn Interactive AgentsFindings of the Association for Computational LinguisticsAmin Rakhsha, Thomas Hehn, Pietro Mazzaglia, et al.2026
  30. MTRouter: Cost-Aware Multi-Turn LLM Routing with History–Model Joint EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL)Yiqun Zhang, Hao Li, Zihan Wang, et al.2026
  31. PropGenie: A Multi-Agent Conversational Framework for Real Estate AssistanceConference of the European Chapter of the Association for Computational Linguistics (EACL)Chang Shen, Shaozu Yuan, Kuizong Wu, et al.2026
  32. PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language ModelsFindings of the Association for Computational LinguisticsZetian Ouyang, Linlin Wang, Gerard de Melo, 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. SGA-MCTS: Decoupling Planning from Execution via Training-Free Atomic Experience RetrievalFindings of the Association for Computational LinguisticsXin Xie, Dongyun Xue, Wuguannan Yao, et al.2026
  35. SGVEF-LOOP: Coverage-Guided Progressive Topological Exploration and Fact-Grounded Metamorphic Evaluation for MCP AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Zenghao Liu, Yansong Zhang2026
  36. SIRAJ: Diverse and Efficient Red-Teaming for LLM Agents via Distilled Structured ReasoningFindings of the Association for Computational LinguisticsKaiwen Zhou, Ahmed Elgohary, A S M Iftekhar, et al.2026
  37. TeachMaster: Generative Teaching via CodeAnnual Meeting of the Association for Computational Linguistics (ACL)Yuheng Wang, Runde Yang, Lin Wu, et al.2026
  38. Thesis Proposal: When Does an Agent Know It Is Lost? Confidence Trajectory Analysis for Tool-Using LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenjiang Mao2026
  39. Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience RefinementFindings of the Association for Computational LinguisticsCheng Yang, Xuemeng Yang, Licheng Wen, et al.2026
  40. TPS-Bench: Evaluating AI Agents' Tool Planning & Scheduling Abilities in Compounding TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Hanwen Xu, Xuyao Huang, Yuzhe Liu, et al.2026
  41. Training Verifier to Assessing Complex Real-World Tool-Use TrajectoriesFindings of the Association for Computational LinguisticsLinzhuang Sun, Mingyang Chen, Hao Liang, et al.2026
  42. What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM PerformanceFindings of the Association for Computational LinguisticsWilliam Watson, Nicole Cho, Sumitra Ganesh, et al.2026
  43. When Users Are Happy but Agents Are Wrong: Multi-Dimensional Evaluation of Tool-Augmented DialogueWorkshop on Generation, Evaluation and Metrics (GEM)Tanya Shourya, Yingfan Wang, Zhaoyi Joey Hou, et al.2026
  44. When “Correct” Is Not Safe: Can We Trust Functionally Correct Patches Generated by Code Agents?Annual Meeting of the Association for Computational Linguistics (ACL)Yibo Peng, James Song, Lei Li, et al.2026
  45. Survey of Tool Use in Large Language Models (大语言模型的工具使用综述)Acta Automatica Sinica (自动化学报)Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.2025

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