🧑‍🔬 Who cites Mrinank Sharma

449 citations of their works from 424 papers of our library (of the 149,439 whose bibliographies we read) · 89 with a page here, the most cited first · ← Mrinank Sharma

1. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
2. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
3. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
4. GPQA: A Graduate-Level Google-Proof Q&A BenchmarkarXiv:2311.12022David Rein, Betty Li Hou, Asa Cooper Stickland, et al.2023 · 1,018 citations
5. Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought PromptingConference on Neural Information Processing Systems (NeurIPS)Miles Turpin, Julian Michael, Ethan Perez, et al.2023 · 586 citations
6. Large Legal Fictions: Profiling Legal Hallucinations in Large Language ModelsarXiv:2401.01301 · Journal of Legal Analysis 16, no. 1 (2024): 64-93Matthew Dahl, Varun Magesh, Mirac Suzgun, et al.2024 · 437 citations
7. 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
8. Hallucination-Free? Assessing the Reliability of Leading AI Legal Research ToolsarXiv:2405.20362Varun Magesh, Faiz Surani, Matthew Dahl, et al.2024 · 271 citations
9. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
10. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 189 citations
11. ELEPHANT: Measuring and understanding social sycophancy in LLMsScienceMyra Cheng, Sunny Yu, Cinoo Lee, et al.2025 · 188 citations
12. Knowledge Conflicts for LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 182 citations
13. AI Alignment: A Comprehensive SurveyarXiv:2310.19852Jiaming Ji, Tianyi Qiu, Boyuan Chen, et al.2023 · 173 citations
14. Many-Shot In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Rishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 142 citations
15. DeepInception: Hypnotize Large Language Model to Be JailbreakerarXiv:2311.03191Xuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 141 citations
16. SOTOPIA: Interactive Evaluation for Social Intelligence in Language AgentsarXiv:2310.11667Xuhui Zhou, Hao Zhu, Leena Mathur, et al.2023 · 138 citations
17. Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology ViewAnnual Meeting of the Association for Computational Linguistics (ACL)Jintian Zhang, Xin Xu, Ningyu Zhang, et al.2024 · 134 citations
18. Best Practices and Lessons Learned on Synthetic DataarXiv:2404.07503Ruibo Liu, Jerry Wei, Fangyu Liu, et al.2024 · 119 citations
19. 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
20. PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human PreferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaming Ji, Donghai Hong, Borong Zhang, et al.2025 · 83 citations
21. In-Context Learning with Long-Context Models: An In-Depth ExplorationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Amanda Bertsch, Maor Ivgi, Emily Xiao, et al.2025 · 81 citations
22. 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
23. HelpSteer: Multi-attribute Helpfulness Dataset for SteerLMConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zhilin Wang, Yi Dong, Jiaqi Zeng, et al.2024 · 72 citations
24. OffsetBias: Leveraging Debiased Data for Tuning EvaluatorsFindings of the Association for Computational LinguisticsJunsoo Park, Seungyeon Jwa, Ren Meiying, et al.2024 · 67 citations
25. Inference-Time Scaling for Generalist Reward ModelingarXiv:2504.02495Zijun Liu, Peiyi Wang, Runxin Xu, et al.2025 · 65 citations
26. Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-JudgeConference on Empirical Methods in Natural Language Processing (EMNLP)Tianhao Wu, Weizhe Yuan, Olga Golovneva, et al.2025 · 64 citations
27. RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and StylearXiv:2410.16184Yantao Liu, Zijun Yao, Rui Min, et al.2024 · 53 citations
28. ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanyi Ren, Haoran Ye, Hanjun Fang, et al.2024 · 43 citations
29. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
30. Qwen3Guard Technical ReportarXiv:2510.14276Haiquan Zhao, Chenhan Yuan, Fei Huang, et al.2025 · 33 citations
31. 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
32. Language Models in Dialogue: Conversational Maxims for Human-AI InteractionsFindings of the Association for Computational LinguisticsErik Miehling, Manish Nagireddy, Prasanna Sattigeri, et al.2024 · 23 citations
33. Understanding the Dark Side of LLMs' Intrinsic Self-CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Qingjie Zhang, Di Wang, Haoting Qian, et al.2025 · 21 citations
34. Jailbreak Large Vision-Language Models Through Multi-Modal LinkageAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Wang, Xiaofei Zhou, Yichen Wang, et al.2025 · 20 citations
35. Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2025 · 19 citations
36. Conformity in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaochen Zhu, Caiqi Zhang, Tom Stafford, et al.2025 · 18 citations
37. LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution ShiftsAnnual Meeting of the Association for Computational Linguistics (ACL)Qibing Ren, Hao Li, Dongrui Liu, et al.2025 · 18 citations
38. Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Sarah Ball, Frauke Kreuter, Nina Panickssery2026 · 17 citations
39. DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning GraphConference on Neural Information Processing Systems (NeurIPS)Zhehao Zhang, Jiaao Chen, Diyi Yang2024 · 17 citations
40. Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target AtomsAnnual Meeting of the Association for Computational Linguistics (ACL)Mengru Wang, Ziwen Xu, Shengyu Mao, et al.2025 · 14 citations
41. Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User PersonasAnnual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Vishakh Padmakumar, Fumeng Yang, et al.2025 · 12 citations
42. Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question AnsweringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Neha Srikanth, Rupak Sarkar, Heran Mane, et al.2024 · 11 citations
43. Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive ScoringAnnual Meeting of the Association for Computational Linguistics (ACL)Peichun Hua, Hao Li, Shanghao Shi, et al.2026 · 10 citations
44. Thinking beyond the anthropomorphic paradigm benefits LLM researchAnnual Meeting of the Association for Computational Linguistics (ACL)Lujain Ibrahim, Myra Cheng2026 · 8 citations
45. Demystifying Multi-Agent Debate: The Role of Confidence and DiversityFindings of the Association for Computational LinguisticsXiaochen Zhu, Caiqi Zhang, Yizhou Chi, et al.2026 · 6 citations
46. Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenrui Zhou, Mohamed Hendy, Shu Yang, et al.2026 · 6 citations
47. GAMBIT: A Gamified Jailbreak Framework for Multimodal Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangdong Hu, Yangyang Jiang, Qin Hu, et al.2026 · 6 citations
48. Visual Contextual Attack: Jailbreaking MLLMs with Image-Driven Context InjectionConference on Empirical Methods in Natural Language Processing (EMNLP)Miao Ziqi, Yi Ding, Lijun Li, et al.2025 · 6 citations
49. EduBench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Bin Xu, Yu Bai, Huashan Sun, et al.2026 · 5 citations
50. Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is MissingTransactions of the Association for Computational Linguistics (TACL)Dennis Ulmer, Alexandra Lorson, Ivan Titov, et al.2026 · 4 citations
51. Task Matters: Knowledge Requirements Shape LLM Responses to Context–Memory ConflictFindings of the Association for Computational LinguisticsKaiser Sun, Fan Bai, Mark Dredze2026 · 3 citations
52. Attacker's Noise Can Manipulate Your Audio-based LLM in the Real WorldConference of the European Chapter of the Association for Computational Linguistics (EACL)Vinu Sankar Sadasivan, Soheil Feizi, Rajiv Mathews, et al.2026 · 2 citations
53. AutoMonitor-Bench: Evaluating the Reliability of LLM-Based Misbehavior MonitorFindings of the Association for Computational LinguisticsShu Yang, Jingyu Hu, Tong Li, et al.2026 · 2 citations
54. From Fact to Judgment: Investigating the Impact of Task Framing on LLM Conviction in Dialogue SystemsInternational Workshop on Spoken Dialogue System TechnologyParisa Rabbani, Nimet Beyza Bozdag, Dilek Hakkani-Tur2026 · 2 citations
55. Learning Multilingual Agentic Policy to Control SycophancyConference of the European Chapter of the Association for Computational Linguistics (EACL)Leonardo Ranaldi, Giulia Pucci2026 · 2 citations
56. Mechanisms of Prompt-Induced Hallucination in Vision–Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)William Rudman, Michal Golovanevsky, Dana Arad, et al.2026 · 2 citations
57. Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Hanwen Shen, Ting Ying, Jiajie Lu, et al.2026 · 2 citations
58. Sycophants in the Courtroom: Are LLMs Fragile to Juridical Authority and Evolving Legal Standards?Annual Meeting of the Association for Computational Linguistics (ACL)Lorenzo Molfetta, Alessio Cocchieri, Luca Ragazzi, et al.2026 · 2 citations
59. 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
60. Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanbin Yin, Kun Zhou, Zhen Wang, et al.2026 · 1 citation
61. Enhancing the Safety of Medical Vision-Language Models by Synthetic DemonstrationsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani2026 · 1 citation
62. From Attack Surfaces to Actual Operations: A Survey of Modern LLM JailbreaksFindings of the Association for Computational LinguisticsRuikang Zhou, Changsheng Sun, Mark Huasong Meng2026 · 1 citation
63. In-Distribution Steering: Balancing Control and Coherence in Language Model GenerationLanguage Resources and Evaluation Conference (LREC)Arthur Vogels, Benjamin Wong, Yann Choho, et al.2026 · 1 citation
64. PARASITE: Conditional System Prompt Poisoning to Hijack LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Viet Pham, Thai Le2026 · 1 citation
65. Sounding vs. Being an Expert: Disentangling Authority, Register and Cultural Impact in Sycophantic LLMsFindings of the Association for Computational LinguisticsGabriele Maraia, Fabio Massimo Zanzotto, Leonardo Ranaldi2026 · 1 citation
66. Trajectory Signatures of Deception in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Viraaji Mothukuri, Reza M. Parizi2026 · 1 citation
67. Who Endorsed It? Measuring Authority Bias Across Expertise Levels in Language ModelsWorkshop on Generation, Evaluation and Metrics (GEM)Priyanka Mary Mammen, Emil Joswin, Shankar Venkitachalam2026 · 1 citation
68. Assertion-Conditioned Compliance: A Provenance-Aware Vulnerability in Multi-Turn Tool-Calling AgentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Daud Waqas, Aaryamaan Golthi, Erika Hayashida, et al.2026
69. 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
70. DART: Mitigating Harm Drift in Difference-Aware LLMs via Distill-Audit-Repair TrainingFindings of the Association for Computational LinguisticsZiwen Pan, Zihan Liang, Jad Kabbara, et al.2026
71. DialDefer: A Framework for Detecting and Mitigating LLM Dialogic DeferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Parisa Rabbani, Priyam Sahoo, Ruben Mathew, et al.2026
72. Evaluating Language Model Pluralism through In-the-wild Crowd DiscussionsAnnual Meeting of the Association for Computational Linguistics (ACL)Gagan Mundada, Rohan Surana, Nandhini Swaminathan, et al.2026
73. Feeling Right vs. Being Right: How AI Sycophancy Affects Value-Laden DeliberationAnnual Meeting of the Association for Computational Linguistics (ACL)Jeongwoo Ryu, Soomin Kim, Jinsu Eun, et al.2026
74. I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue SystemAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Zi Haur Pang, Yahui Fu, Koji Inoue, et al.2026
75. Know Your Place: Diagnosing Implicit Social Adaptation Failures in Chinese Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Tian, Jie Xing, Ziming Li, et al.2026
76. Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language ModelsFindings of the Association for Computational LinguisticsRagib Amin Nihal, Rui Wen, Kazuhiro Nakadai, et al.2026
77. Pause or Fabricate? Training Language Models for Grounded ReasoningFindings of the Association for Computational LinguisticsYiwen Qiu, Linjuan Wu, Yizhou Liu, et al.2026
78. Probing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not StableFindings of the Association for Computational LinguisticsZhenheng Tang, Qihua Pan, Jingya Shen, et al.2026
79. Quantifying and Mitigating Socially Desirable Responding in LLMs: A Desirability-Matched Graded Forced-Choice Psychometric StudyAnnual Meeting of the Association for Computational Linguistics (ACL)Kensuke Okada, Yui Furukawa, Kyosuke Bunji2026
80. Rational Synthesizers or Heuristic Followers? Analyzing LLMs in RAG-based Question-AnsweringFindings of the Association for Computational LinguisticsAtharv Naphade2026
81. Reasoning Hijacking: The Fragility of Reasoning Alignment in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuansen Liu, Yixuan Tang, Anthony Kum Hoe Tung2026
82. Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language ModelsFindings of the Association for Computational LinguisticsZiyao Tang, Pengkun Jiao, Bin Zhu, et al.2026
83. TeamFusion: Supporting Open-ended Teamwork with Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiale Liu, Victor Bursztyn, Lin Ai, et al.2026
84. The Impact of Off-Policy Training Data on Probe GeneralisationFindings of the Association for Computational LinguisticsAdrians Skapars, Nathalie Maria Kirch, Samuel Dower, et al.2026
85. Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Arya Shah, Deepali Mishra, Chaklam Silpasuwanchai2026
86. TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak DefenseFindings of the Association for Computational LinguisticsCheng Liu, Xiaolei Liu, Xingyu Li, et al.2026
87. Understanding Emergent Misalignment via Feature Superposition GeometryAnnual Meeting of the Association for Computational Linguistics (ACL)Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, et al.2026
88. User-Assistant Bias in LLMsFindings of the Association for Computational LinguisticsXu Pan, Jingxuan Fan, Zidi Xiong, et al.2026
89. Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM JudgesConference on Computational Natural Language Learning (CoNLL)Anuradha Welivita, Fawzia Zeitoun, Pearl Pu2026

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