🧑‍🔬 Who cites Tianlong Chen

418 citations of their works from 411 papers of our library (of the 149,439 whose bibliographies we read) · 83 with a page here, the most cited first · ← Tianlong Chen

1. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
2. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingarXiv:2411.15124Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 423 citations
3. TIES-Merging: Resolving Interference When Merging ModelsConference on Neural Information Processing Systems (NeurIPS)Prateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 324 citations
4. JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Patrick Chao, Edoardo Debenedetti, Alexander Robey, et al.2024 · 277 citations
5. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
6. WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMsConference on Neural Information Processing Systems (NeurIPS)Seungju Han, Kavel Rao, Allyson Ettinger, et al.2024 · 165 citations
7. CLEVE: Contrastive Pre-training for Event ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqi Wang, Xiaozhi Wang, Xu Han, et al.2021 · 155 citations
8. Justice or Prejudice? Quantifying Biases in LLM-as-a-JudgearXiv:2410.02736Jiayi Ye, Yanbo Wang, Yue Huang, et al.2024 · 148 citations
9. Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with NothingarXiv:2406.08464Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 148 citations
10. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
11. JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Bin Liang, Qinglin Zhu, Xiang Li, et al.2022 · 119 citations
12. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
13. WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language ModelsConference on Neural Information Processing Systems (NeurIPS)Liwei Jiang, Kavel Rao, Seungju Han, et al.2024 · 92 citations
14. Detoxifying Large Language Models via Knowledge EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Mengru Wang, Ningyu Zhang, Ziwen Xu, et al.2024 · 84 citations
15. Factuality of Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, et al.2024 · 77 citations
16. OR-Bench: An Over-Refusal Benchmark for Large Language ModelsarXiv:2405.20947Justin Cui, Wei-Lin Chiang, Ion Stoica, et al.2024 · 76 citations
17. ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidenceConference on Neural Information Processing Systems (NeurIPS)Kevin Wu, Eric Wu, James Zou2024 · 65 citations
18. Evaluation of OpenAI o1: Opportunities and Challenges of AGIarXiv:2409.18486Tianyang Zhong, Zhengliang Liu, Yi Pan, et al.2024 · 64 citations
19. Revolutionizing Finance with LLMs: An Overview of Applications and InsightsarXiv:2401.11641Huaqin Zhao, Zhengliang Liu, Zihao Wu, et al.2024 · 63 citations
20. MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language BenchmarkarXiv:2402.04788Dongping Chen, Ruoxi Chen, Shilin Zhang, et al.2024 · 60 citations
21. Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yongqi Tong, Dawei Li, Sizhe Wang, et al.2024 · 57 citations
22. RegMix: Data Mixture as Regression for Language Model Pre-trainingarXiv:2407.01492Qian Liu, Xiaosen Zheng, Niklas Muennighoff, et al.2024 · 57 citations
23. The Art of Saying No: Contextual Noncompliance in Language ModelsConference on Neural Information Processing Systems (NeurIPS)Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, et al.2024 · 56 citations
24. NormAd: A Framework for Measuring the Cultural Adaptability of Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Abhinav Rao, Akhila Yerukola, Vishwa Shah, et al.2025 · 46 citations
25. SOUL: Unlocking the Power of Second-Order Optimization for LLM UnlearningConference on Empirical Methods in Natural Language Processing (EMNLP)Jinghan Jia, Yihua Zhang, Yimeng Zhang, et al.2024 · 46 citations
26. InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug DiscoveryInternational Conference on Computational Linguistics (COLING)He Cao, Zijing Liu, Xingyu Lu, et al.2025 · 38 citations
27. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
28. SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model SafetyarXiv:2404.05399Paul Rottger, Fabio Pernisi, Bertie Vidgen, et al.2024 · 33 citations
29. Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationACM Computing SurveysSteffen Eger, Yong Cao, Jennifer D'Souza, et al.2025 · 25 citations
30. GameBench: Evaluating Strategic Reasoning Abilities of LLM AgentsarXiv:2406.06613Anthony Costarelli, Mat Allen, Roman Hauksson, et al.2024 · 20 citations
31. ChemAgent: Self-updating Library in Large Language Models Improves Chemical ReasoningarXiv:2501.06590Xiangru Tang, Tianyu Hu, Muyang Ye, et al.2025 · 15 citations
32. Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent SystemsConference on Empirical Methods in Natural Language Processing (EMNLP)Xu Shen, Yixin Liu, Yiwei Dai, et al.2025 · 15 citations
33. What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Li, Yanhong Li, Tianyi Zhou2025 · 15 citations
34. When One LLM Drools, Multi-LLM Collaboration RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Shangbin Feng, Wenxuan Ding, Alisa Liu, et al.2026 · 14 citations
35. Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Hengyuan Zhang, Shiping Yang, Xiao Liang, et al.2026 · 13 citations
36. Learning from Diverse Reasoning Paths with Routing and CollaborationConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenyu Lei, Zhen Tan, Song Wang, et al.2025 · 11 citations
37. Multi-Attribute Steering of Language Models via Targeted InterventionAnnual Meeting of the Association for Computational Linguistics (ACL)Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, et al.2025 · 11 citations
38. BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Miao, Yixin Liu, Yili Wang, et al.2026 · 10 citations
39. AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent PredictionConference on Empirical Methods in Natural Language Processing (EMNLP)Song Wang, Zhen Tan, Zihan Chen, et al.2025 · 10 citations
40. Multiple LLM Agents Debate for Equitable Cultural AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Dayeon Ki, Rachel Rudinger, Tianyi Zhou, et al.2025 · 10 citations
41. TopoDIM: One-shot Topology Generation of Diverse Interaction Modes for Multi-Agent SystemsFindings of the Association for Computational LinguisticsRui Sun, Jie Ding, Chenghua Gong, et al.2026 · 9 citations
42. Faster MoE LLM Inference for Extremely Large ModelsFindings of the Association for Computational LinguisticsHaoqi Yang, Luohe Shi, Qiwei Li, et al.2026 · 8 citations
43. Shared Imagination: LLMs Hallucinate AlikearXiv:2407.16604Yilun Zhou, Caiming Xiong, Silvio Savarese, et al.2024 · 7 citations
44. GAM: Hierarchical Graph-based Agentic Memory for LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaofen Wu, Hanrong Zhang, Fulin Lin, et al.2026 · 5 citations
45. LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-DisjointAnnual Meeting of the Association for Computational Linguistics (ACL)Qianli Ma, Dongrui Liu, Qian Chen, et al.2025 · 5 citations
46. BLUR: A Bi-Level Optimization Approach for LLM UnlearningConference of the European Chapter of the Association for Computational Linguistics (EACL)Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, et al.2026 · 4 citations
47. GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, et al.2026 · 4 citations
48. AnyGraph: Graph Foundation Model in the WildFindings of the Association for Computational LinguisticsLianghao Xia, Chao Huang2026 · 3 citations
49. 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
50. 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
51. Contrastive Learning of English Language and Crystal Graphs for Multimodal Representation of Materials KnowledgearXiv:2502.16451Yang Jeong Park, Mayank Kumaran, Chia-Wei Hsu, et al.2025 · 3 citations
52. AdaMARP: An Adaptive Multi-Agent Interaction Framework for General Immersive Role-PlayingFindings of the Association for Computational LinguisticsZhenhua Xu, Dongsheng Chen, Shuo Wang, et al.2026 · 2 citations
53. Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Chi Zhang, Wenxuan Ding, Jiale Liu, et al.2026 · 2 citations
54. Foresight Optimization for Strategic Reasoning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jessie Wang, Jiawen Duan, Jian Wang, et al.2026 · 2 citations
55. V-MAGE: A Game Evaluation Framework for Assessing Vision-Centric Capabilities in Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsXiangxi Zheng, Linjie Li, Zhengyuan Yang, et al.2026 · 2 citations
56. Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyuan Yang, Wenxuan Ding, Shangbin Feng, et al.2026 · 1 citation
57. Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy BackdoorsAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Yin, Tianxu Han, Naen Xu, et al.2026 · 1 citation
58. Distillation Traps and Guards: A Calibration Knob for LLM DistillabilityAnnual Meeting of the Association for Computational Linguistics (ACL)Weixiao Zhan, Yongcheng Jing, Leszek Rutkowski, et al.2026 · 1 citation
59. Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and InvestigationFindings of the Association for Computational LinguisticsYuxiang Wang, Xinnan Dai, Wenqi Fan, et al.2026 · 1 citation
60. H-Mem: Hybrid Multi-Dimensional Memory Management for Long-Context Conversational AgentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zihe Ye, Jingyuan Huang, Weixin Chen, et al.2026 · 1 citation
61. HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective OptimizationInternational Workshop on Semantic Evaluation (SemEval)Abdullah Shaikh, Zain Naqi, Taha Zahid, et al.2026 · 1 citation
62. SafeAgent: Safeguarding LLM Agents via an Automated Risk SimulatorAnnual Meeting of the Association for Computational Linguistics (ACL)Xueyang Zhou, Weidong Wang, Lin Lu, et al.2026 · 1 citation
63. Authorization-First Retrieval: Enforcing Least Privilege in Multi-Agent RAG SystemsWorkshop on Trustworthy NLPRohith Namboothiri2026
64. Bayesian Social Deduction with Graph-Informed Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shahab Rahimirad, Guven Gergerli, Lucia Romero, et al.2026
65. Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Minzheng Wang, Run Luo, Yanbo Wang, et al.2026
66. Evaluating LLMs for Detecting Demographic-Targeted Social Bias: A Comprehensive Benchmark StudyWorkshop of Identity Aware AIAyan Majumdar, Feihao Chen, Jinghui Li, et al.2026
67. ExpressivityBench: Can LLMs Communicate Implicitly?Findings of the Association for Computational LinguisticsJoshua Tint, Som Sagar, Aditya Taparia, et al.2026
68. FactVerse: A Benchmark for Factual Consistency in Interleaved Image–Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yubo Shan, Kun Zhang, Qiming Xu, et al.2026
69. FAIRGAMER: Evaluating Social Biases in LLM-Based Video Game NPCsAnnual Meeting of the Association for Computational Linguistics (ACL)Bingkang Shi, Jen-tse Huang, Luo Long, et al.2026
70. MemBuilder: Reinforcing LLMs for Long-Term Memory Construction via Attributed Dense RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyu Shen, Ziming Wu, Fuming Lai, et al.2026
71. MemCoRL: Alternating Co-Optimization of Memory Retrieval and Utilization via Collaborative Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yuewen Liu, Peng Xu, Muxi Diao, et al.2026
72. MemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational AgentsFindings of the Association for Computational LinguisticsHung Pham Van, Nguyen Manh Hieu, Khang Pham Tran Tuan, et al.2026
73. ModularMoE: Fast LLM Customization with Parameter-Sharing Mixture-of-Experts for Low-Resource SettingsFindings of the Association for Computational LinguisticsJiaxing Liu, Qi Qi, Haifeng Sun, et al.2026
74. Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and BenchmarksFindings of the Association for Computational LinguisticsNobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu, et al.2026
75. PII Jailbreaking in LLMs via Activation Steering Reveals Personal Information LeakageWorkshop on Trustworthy NLPKrishna Kanth Nakka, Xue Jiang, Dmitrii Usynin, et al.2026
76. Protecting Language Models Against Unauthorized Distillation through Trace RewritingAnnual Meeting of the Association for Computational Linguistics (ACL)Xinhang Ma, William Yeoh, Ning Zhang, et al.2026
77. R.U.Psycho? A Framework for Robust Unified Psychometric Testing of Language ModelsLanguage Resources and Evaluation Conference (LREC)Julian Schelb, Orr Borin, David Garcia, et al.2026
78. SAMem: State-Aware Memory as a Fine-Grained Memory for LLM Agents in Decision-MakingFindings of the Association for Computational LinguisticsTong Wang, Pei Xu, Shiyue Cao, et al.2026
79. Specialization through Collaboration: Understanding Expert Interaction in Mixture-of-Expert Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yuanbo Tang, Naifan Zhang, Yan Tang, et al.2026
80. TiKMiX: Efficient Semi-Dynamic Data Mixture via Data Influence for LLM Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Wang, Binbinliu, Fengze Liu, et al.2026
81. TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyi Wang, Chen Zhang, Wenjun Peng, et al.2026
82. What the Router Sees Matters: Funnel Pooling for Fast, Content Driven Expert RoutingConference of the European Chapter of the Association for Computational Linguistics (EACL)Josef Pichlmeier, Sebastian Nicolas Mueller, Jakob Sturm, et al.2026
83. Method for Expanding Event Commonsense Knowledge Graph Based on Large Language Models (基于大语言模型的事件常识知识图谱扩展方法)Journal of SoftwareQiaojuan Huang (黄俏娟), Cungen Cao (曹存根), Ya Wang (王亚), et al.2024

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