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Who cites Kunlun Zhu

627 citations of their works from 616 papers of our library (of the 149,439 whose bibliographies we read) · 188 with a page here, the most cited first · page 2 of 2 · 101–188 · ← Kunlun Zhu

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  1. DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable ConstraintsAnnual Meeting of the Association for Computational Linguistics (ACL)Yinger Zhang, Shutong Jiang, Renhao Li, et al.2026 · 5 citations
  2. Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response AssistanceAnnual Meeting of the Association for Computational Linguistics (ACL)Qianli Ma, Chang Guo, Zhiheng Tian, et al.2026 · 5 citations
  3. LLM Agents in Law: Taxonomy, Applications, and ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Shuang Liu, Ruijia Zhang, Ruoyun Ma, et al.2026 · 4 citations
  4. ToolScope: Enhancing LLM Agent Tool Use through Tool Merging and Context-Aware FilteringAnnual Meeting of the Association for Computational Linguistics (ACL)Marianne Menglin Liu, Daniel Garcia, Fjona Parllaku, et al.2026 · 4 citations
  5. Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and OpportunitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Changdae Oh, Seongheon Park, To Eun Kim, et al.2026 · 4 citations
  6. Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from TextAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Xu, Rumei Li, Jiahuan Li, et al.2026 · 4 citations
  7. Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUsarXiv:2503.05139Ling Team; Binwei Zeng; Chao Huang; Chao Zhang; Changxin Tian; Cong Chen; Dingnan Jin; Feng Yu; Feng Zhu; Feng Yuan; Fakang Wang; Gangshan Wang; Guangyao Zhai; Haitao Zhang; Huizhong Li; Jun Zhou; Jia Liu; Junpeng Fang; Junjie Ou; Jun Hu; Ji Luo; Ji Zhang; Jian Liu; Jian Sha; Jianxue Qian; Jiewei Wu; Junping Zhao; Jianguo Li; Jubao Feng; Jingchao Di; Junming Xu; Jinghua Yao; Kuan Xu; Kewei Du; Longfei Li; Lei Liang; Lu Yu; Li Tang; Lin Ju; Peng Xu; Qing Cui; Song Liu; Shicheng Li; Shun Song; Song Yan; Tengwei Cai; Tianyi Chen; Ting Guo; Ting Huang; Tao Feng; Tao Wu; Wei Wu; Xiaolu Zhang; Xueming Yang; Xin Zhao; Xiaobo Hu; Xin Lin; Yao Zhao; Yilong Wang; Yongzhen Guo; Yuanyuan Wang; Yue Yang; Yang Cao; Yuhao Fu; Yi Xiong; Yanzhe Li; Zhe Li; Zhiqiang Zhang; Ziqi Liu; Zhaoxin Huan; Zujie Wen; Zhenhang Sun; Zhuoxuan Du;, Zhengyu He2025 · 4 citations
  8. From Storage to Experience: A Survey on the Evolution of LLM Agent Memory MechanismsFindings of the Association for Computational LinguisticsJinghao Luo, Yuchen Tian, Chuxue Cao, et al.2026 · 3 citations
  9. Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zheng Luo, T Pranav Kutralingam, Ogochukwu N. Okoani, et al.2026 · 3 citations
  10. MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori InferenceFindings of the Association for Computational LinguisticsZheyuan Zhang, Lin Ge, Hongjiang Li, et al.2026 · 3 citations
  11. Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution ReconstructionFindings of the Association for Computational LinguisticsXu Shen, Qi Zhang, Song Wang, et al.2026 · 3 citations
  12. Self-Evolving Multi-Agent Systems via Textual BackpropagationFindings of the Association for Computational LinguisticsXiaowen Ma, Yunpu Ma, Chenyang Lin, et al.2026 · 3 citations
  13. ToolGate: Contract-Grounded and Verified Tool Execution for LLMsFindings of the Association for Computational LinguisticsYanming Liu, Xinyue Peng, Jiannan Cao, et al.2026 · 3 citations
  14. a1: Steep Test-time Scaling Law via Environment Augmented GenerationFindings of the Association for Computational LinguisticsLingrui Mei, Shenghua Liu, Yiwei Wang, et al.2026 · 2 citations
  15. Beyond Accuracy: Unveiling Inefficiency Patterns in Tool-Integrated ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Qisheng Su, Shiting Huang, Zhen Fang, et al.2026 · 2 citations
  16. Can We Predict Before Executing Machine Learning Agents?Annual Meeting of the Association for Computational Linguistics (ACL)Jingsheng Zheng, Jintian Zhang, Yujie Luo, et al.2026 · 2 citations
  17. Efficient Multi-Agent System Training with Data Influence-Oriented Tree SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Wentao Shi, Zichun Yu, Fuli Feng, et al.2026 · 2 citations
  18. Failure makes the agent stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool InteractionsFindings of the Association for Computational LinguisticsJunhao Su, Yuanliang Wan, Junwei Yang, et al.2026 · 2 citations
  19. MedDCR: Learning to Design Agentic Workflows for Medical CodingFindings of the Association for Computational LinguisticsJiyang Zheng, Islam Nassar, Thanh Vu, et al.2026 · 2 citations
  20. MedMCP-Calc: Benchmarking LLMs for Realistic Medical Calculator Scenarios via MCP IntegrationAnnual Meeting of the Association for Computational Linguistics (ACL)Yakun Zhu, Yutong Huang, Shengqian Qin, et al.2026 · 2 citations
  21. OpenGenAlign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context GenerationFindings of the Association for Computational LinguisticsHanning Zhang, Juntong Song, Juno Zhu, et al.2026 · 2 citations
  22. Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User IntentsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyi Wang, Yuxuan Lu, Yimeng Zhang, et al.2026 · 2 citations
  23. Tool Calling for Arabic LLMs: Data Strategies and Instruction TuningArabic Natural Language Processing Conference (ArabicNLP)Asım Ersoy, Enes Altinisik, Kareem Mohamed Darwish, et al.2025 · 2 citations
  24. DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Nithin Sivakumaran, Justin Chen, David Wan, et al.2026 · 1 citation
  25. DRAGON: Domain-specific Robust Automatic Data Generation for RAG OptimizationFindings of the Association for Computational LinguisticsHaiyang Shen, Hang Yan, Zhongshi Xing, et al.2026 · 1 citation
  26. Hierarchical Reinforcement Learning with Augmented Step-Level Transitions for LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Shuai Zhen, Yanhua Yu, Ruopei Guo, et al.2026 · 1 citation
  27. MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite MatchingAnnual Meeting of the Association for Computational Linguistics (ACL)Changle Qu, Sunhao Dai, Hengyi Cai, et al.2026 · 1 citation
  28. Mock Worlds, Real Skills: Building Small Agentic Language Models with Synthetic Tasks, Simulated Environments, and Rubric-Based RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanjie Lyu, Chengyu Wang, Lei Shen, et al.2026 · 1 citation
  29. PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy ConstraintsFindings of the Association for Computational LinguisticsMinjun Park, Donghyun Kim, Hyeonjong Ju, et al.2026 · 1 citation
  30. RAGVUE: A Diagnostic View for Explainable and Automated Evaluation of Retrieval-Augmented GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL)Keerthana Murugaraj, Salima Lamsiyah, Martin Theobald2026 · 1 citation
  31. Robust Tool Use via Fission-GRPO: Learning to Recover from Execution ErrorsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiwei Zhang, Fei Zhao, Rui Wang, et al.2026 · 1 citation
  32. Strong Reasoning Isn't Enough: Evaluating Evidence Elicitation in Interactive DiagnosisFindings of the Association for Computational LinguisticsZhuohan Long, Zhongyu Wei2026 · 1 citation
  33. TInR: Exploring Tool-Internalized Reasoning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Qiancheng Xu, Yongqi Li, Fan Liu, et al.2026 · 1 citation
  34. Your LLM Agent Can Leak Your Data: Data Exfiltration via Backdoored Tool UseFindings of the Association for Computational LinguisticsWuyang Zhang, Shichao Pei2026 · 1 citation
  35. Fahmni at AraHealthQA Track 1: Multi-Agent Retrieval-Augmented Generation and Multi-Label Classification for Arabic Mental Health Q&AArabic Natural Language Processing Conference (ArabicNLP)Caroline Sabty, Mohamad Rasmy, Mohamed Eyad Badran, et al.2025 · 1 citation
  36. Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual LearningFindings of the Association for Computational LinguisticsZheng Wu, Xingyu Lou, Xinbei Ma, et al.2026
  37. AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Taolin Zhang, Dongyang Li, Chen Chen, et al.2026
  38. ARCHITECT: Uncertainty-Aware Dynamic Tool Learning via Causal Intervention for Open-World AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhangyi Wang, Jiexiang Xu, Bingnan Yu, et al.2026
  39. Beyond Static Toolsets: Self-Evolving LLM Tool Agents via Continual Documentation AdaptationFindings of the Association for Computational LinguisticsBin Wu, Edgar Meij, Emine Yilmaz2026
  40. C-World: A Computer Use Agent Environment CreatorAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqiao Xi, Shuang Liang, Qi Liu, et al.2026
  41. 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
  42. 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
  43. CARL: Constraint-Aware Reinforcement Learning for Planning with LLMsFindings of the Association for Computational LinguisticsQiuyi Qi, Jinjian Zhang, Mutian Bao, et al.2026
  44. CheckRLM: Effective Knowledge–Thought Coherence Checking in Retrieval-Augmented ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Dingling Xu, Ruobing Wang, Qingfei Zhao, et al.2026
  45. 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
  46. 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
  47. 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
  48. Designing LLM Agents for User-Centered Language Service SelectionLanguage Resources and Evaluation Conference (LREC)Ryoichiro Ogawa, Donghui Lin, Fumito Uwano2026
  49. Domain-Specific Data Generation Framework for RAG AdaptationFindings of the Association for Computational LinguisticsChris Xing Tian, Weihao Xie, Zhen Chen, et al.2026
  50. Dynamic Tool Dependency Retrieval for Lightweight Function CallingFindings of the Association for Computational LinguisticsBhrij Patel, Davide Belli, Amir Jalalirad, et al.2026
  51. EVGeoQA: Benchmarking LLMs on Dynamic, Multi-Objective Geo-Spatial ExplorationFindings of the Association for Computational LinguisticsJianfei Wu, Zhichun Wang, Zhensheng Wang, et al.2026
  52. EvoHyper: Evolving Hypergraph Topologies for Unified Collaboration in Multi-Agent CommunicationFindings of the Association for Computational LinguisticsHeng Zhang, Yihao Zhong, Lubin Gan, et al.2026
  53. 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
  54. 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
  55. 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
  56. 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
  57. 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
  58. 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
  59. 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
  60. GOAT: A Training Framework for Goal-Oriented Agent with ToolsFindings of the Association for Computational LinguisticsHyunji Min, Sangwon Jung, Junyoung Sung, et al.2026
  61. 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
  62. Hetero-Designer: Automated Design of Multi-Agent Systems with Heterogeneous LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiheng Zhang, Yuanzhe Zhang, Bohan Yu, et al.2026
  63. How Adversarial Environments Mislead Agentic AI?Findings of the Association for Computational LinguisticsZhonghao Zhan, Huichi Zhou, Zhenhao Li, et al.2026
  64. Identifying Collective Intelligence Factor in LLM Agent Groups for Generalizable Multi-Agent System DesignFindings of the Association for Computational LinguisticsZhilun Zhou, Zihan Liu, Jiahe Liu, et al.2026
  65. 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
  66. Knowledge is Not Enough: Injecting RL Skills for Continual AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Pingzhi Tang, Yiding Wang, Muhan Zhang2026
  67. 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
  68. LUMINA: Long-horizon Understanding for Multi-turn Interactive AgentsFindings of the Association for Computational LinguisticsAmin Rakhsha, Thomas Hehn, Pietro Mazzaglia, et al.2026
  69. Momoka-RAG: MCTS-Organized Mapping of Knowledge Associations for Long-Document Retrieval Augmented GenerationFindings of the Association for Computational LinguisticsWenyu Tao, Xiaofen Xing, Zeliang Li, et al.2026
  70. 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
  71. NeuralFSM: Adaptive Multi-Agent Coordination via Learning Finite-State Execution PolicyAnnual Meeting of the Association for Computational Linguistics (ACL)Jiye Wang, Yu Wang, Jianbin Li, et al.2026
  72. NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question AnsweringConference of the European Chapter of the Association for Computational Linguistics (EACL)Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, et al.2026
  73. 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
  74. 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
  75. RouterHGC: Optimized Router for LLM-based Multi-Agent Systems via Heterogeneous Graph Contrastive LearningFindings of the Association for Computational LinguisticsYitao Xiao, Shaoyong Guo, Guoming Yang, et al.2026
  76. SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query StreamsFindings of the Association for Computational LinguisticsChenglong Wang, Canjia Li, Xingzhao Zhu, et al.2026
  77. 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
  78. 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
  79. Simple Role Assignment is Extraordinarily Effective for Safety AlignmentFindings of the Association for Computational LinguisticsZhou Ziheng, Jiakun Ding, Zhaowei Zhang, et al.2026
  80. 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
  81. Taming “Zombie” Agents: A Markov State-Aware Framework for Resilient Multi-Agent EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Taolin Zhang, Pukun Zhao, Qizhou Chen, et al.2026
  82. 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
  83. Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience RefinementFindings of the Association for Computational LinguisticsCheng Yang, Xuemeng Yang, Licheng Wen, et al.2026
  84. 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
  85. Training Verifier to Assessing Complex Real-World Tool-Use TrajectoriesFindings of the Association for Computational LinguisticsLinzhuang Sun, Mingyang Chen, Hao Liang, et al.2026
  86. 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
  87. 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
  88. 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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