🧑‍🔬 Who cites Akbir Khan

251 citations of their works from 237 papers of our library (of the 149,439 whose bibliographies we read) · 68 with a page here, the most cited first · ← Akbir Khan

1. Towards Reasoning in Large Language Models: A SurveyFindings of the Association for Computational LinguisticsJie Huang, Kevin Chen-Chuan Chang2023 · 780 citations
2. Will we run out of data? Limits of LLM scaling based on human-generated dataarXiv:2211.04325Pablo Villalobos, Anson Ho, Jaime Sevilla, et al.2022 · 198 citations
3. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
4. AI Alignment: A Comprehensive SurveyarXiv:2310.19852Jiaming Ji, Tianyi Qiu, Boyuan Chen, et al.2023 · 173 citations
5. ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Justin Chen, Swarnadeep Saha, Mohit Bansal2024 · 156 citations
6. The Alignment Problem from a Deep Learning PerspectivearXiv:2209.00626Richard Ngo, Lawrence Chan, Soren Mindermann2022 · 121 citations
7. Reasoning Models Don't Always Say What They ThinkarXiv:2505.05410Yanda Chen, Joe Benton, Ansh Radhakrishnan, et al.2025 · 106 citations
8. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
9. Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and SayingsarXiv:2309.08591Chen Cecilia Liu, Fajri Koto, Timothy Baldwin, et al.2023 · 78 citations
10. PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics CapabilitiesSettaluri Sravanthi, Meet Doshi, Pavan Tankala, et al.2024 · 75 citations
11. Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-JudgeInternational Joint Conference on Natural Language Processing (IJCNLP)Lin Shi, Chiyu Ma, Wenhua Liang, et al.2025 · 71 citations
12. Scaling Large Language Model-based Multi-Agent CollaborationarXiv:2406.07155Chen Qian, Zihao Xie, YiFei Wang, et al.2024 · 70 citations
13. Monitoring Reasoning Models for Misbehavior and the Risks of Promoting ObfuscationarXiv:2503.11926Bowen Baker, Joost Huizinga, Leo Gao, et al.2025 · 63 citations
14. ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Mingjie Liu, Shizhe Diao, Ximing Lu, et al.2025 · 58 citations
15. Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Bolei Ma, Yuting Li, Wei Zhou, et al.2025 · 49 citations
16. Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM SamplingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Guangya Wan, Yuqi Wu, Jie Chen, et al.2025 · 29 citations
17. Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the AboveAnnual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Rachel Rudinger, Jordan Boyd-Graber2025 · 28 citations
18. M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaopeng Feng, Jiayuan Su, Jiamei Zheng, et al.2025 · 24 citations
19. Do Large Language Models Understand Conversational Implicature- A case study with a Chinese sitcomChinese National Conference on Computational LinguisticsShisen Yue, Siyuan Song, Xinyuan Cheng, et al.2024 · 19 citations
20. Conformity in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaochen Zhu, Caiqi Zhang, Tom Stafford, et al.2025 · 18 citations
21. Evaluating statistical language models as pragmatic reasonersarXiv:2305.01020Benjamin Lipkin, Lionel Wong, Gabriel Grand, et al.2023 · 18 citations
22. Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee DiscussionsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, et al.2025 · 16 citations
23. Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language ModelsarXiv:2503.24377Rui Wang, Hongru Wang, Boyang Xue, et al.2025 · 16 citations
24. Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Shengguang Wu, Shusheng Yang, Zhenglun Chen, et al.2024 · 16 citations
25. MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Chanwoo Park, Seungju Han, Xingzhi Guo, et al.2025 · 15 citations
26. Preference Optimization for Reasoning with Pseudo FeedbackarXiv:2411.16345Fangkai Jiao, Geyang Guo, Xingxing Zhang, et al.2024 · 15 citations
27. 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
28. Nemotron-CrossThink: Scaling Self-Learning beyond Math ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Syeda Nahida Akter, Shrimai Prabhumoye, Matvei Novikov, et al.2026 · 9 citations
29. BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Taolin Zhang, Dongyang Li, Qizhou Chen, et al.2025 · 9 citations
30. Pragmatic Inference Chain (PIC) Improving LLMs' Reasoning of Authentic Implicit Toxic LanguageConference on Empirical Methods in Natural Language Processing (EMNLP)Xi Chen, Shuo Wang2025 · 9 citations
31. Thinking beyond the anthropomorphic paradigm benefits LLM researchAnnual Meeting of the Association for Computational Linguistics (ACL)Lujain Ibrahim, Myra Cheng2026 · 8 citations
32. ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QAConference on Empirical Methods in Natural Language Processing (EMNLP)Zhao Xinjie, Fan Gao, Xingyu Song, et al.2025 · 8 citations
33. Comparing human and LLM politeness strategies in free productionHaoran Zhao, Robert D. Hawkins2025 · 6 citations
34. Are LLMs good pragmatic speakers?arXiv:2411.01562Mingyue Jian, N. Siddharth2024 · 5 citations
35. LLMs of Catan: Exploring Pragmatic Capabilities of Generative Chatbots Through Prediction and Classification of Dialogue Acts in Boardgames' Multi-party DialoguesProceedings of the 10th Workshop on Games and Natural Language Processing @ LREC-COLING 2024Andrea Martinenghi, Gregor Donabauer, Simona Amenta, et al.2024 · 4 citations
36. Qwen-Scope: Turning Sparse Features into Development Tools for Large Language ModelsarXiv:2605.11887Boyi Deng, Xu Wang, Yaoning Wang, et al.2026 · 3 citations
37. Graders Should Cheat: Privileged Information Enables Expert-Level Automated EvaluationsConference on Empirical Methods in Natural Language Processing (EMNLP)Jin Peng Zhou, Séb Arnold, Nan Ding, et al.2025 · 3 citations
38. Probing Large Language Models for Scalar Adjective Lexical Semantics and Scalar Diversity PragmaticsLanguage Resources and Evaluation Conference (LREC)Fangru Lin, Daniel Altshuler, Janet B. Pierrehumbert2024 · 3 citations
39. Pragmatics beyond humans: meaning, communication, and LLMsarXiv:2508.06167Vit Gvoždiak2025 · 2 citations
40. 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
41. Prior Beliefs Prejudice LLM-as-Judge: Evidence from Persuasion EvaluationFindings of the Association for Computational LinguisticsPardis Sadat Zahraei, Xiaoning Wang, Nimet Beyza Bozdag, et al.2026 · 1 citation
42. The Thin Line Between Comprehension and Persuasion in LLMsFindings of the Association for Computational LinguisticsAdrian de Wynter, Tangming Yuan2026 · 1 citation
43. Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment PredictionWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisNils Schwager, Simon Münker, Alistair Plum, et al.2026 · 1 citation
44. Trajectory Signatures of Deception in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Viraaji Mothukuri, Reza M. Parizi2026 · 1 citation
45. When Vision-Language Models Judge Without Seeing: Exposing Informativeness BiasAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaohan Zou, Roshan Sridhar, Mohammadtaher Safarzadeh, et al.2026 · 1 citation
46. Integrating Neural and Symbolic Components in a Model of Pragmatic Question-AnsweringPolina Tsvilodub, Robert D. Hawkins, Michael Franke2025 · 1 citation
47. Survey on Computational Approaches to ImplicatureKaveri Anuranjana, Srihitha Mallepally, Sriharshitha Mareddy, et al.2024 · 1 citation
48. A Game-Theoretic Negotiation Framework for Cross-Cultural ConsensusAnnual Meeting of the Association for Computational Linguistics (ACL)Guoxi Zhang, Jiawei Chen, Tianzhuo Yang, et al.2026
49. Agentic Oversight via Dialectic ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Leonardo Ranaldi, Federico Ranaldi2026
50. Can LLMs Really Judge? A Progressive Argumentation-Mining Framework for Distinguishing Understanding from AggregationFindings of the Association for Computational LinguisticsFuyu Wang, Jiangtong Li, Kun Zhu, et al.2026
51. CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language ModelsarXiv:2603.09993Jon Chun, Hannah Sussman, Adrian Mangine, et al.2026
52. Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMsLanguage Resources and Evaluation Conference (LREC)Saugata Purkayastha, Pranav Kushare, Pragya Paramita Pal, et al.2026
53. Continuous Interpretive Steering for Scalar DiversityAnnual Meeting of the Association for Computational Linguistics (ACL)Ye-eun Cho2026
54. Curing Miracle Steps in LLM Mathematical Reasoning with Rubric RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Youliang Yuan, Qiuyang Mang, Jingbang Chen, et al.2026
55. DRInQ: Evaluating Conversational Implicature with Controlled Context VariationAnnual Meeting of the Association for Computational Linguistics (ACL)Hirona Jacqueline Arai, Xiang Ren2026
56. DSMentor: Curriculum-Guided Inference with Online Memory for Data-Science LLM AgentsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraHe Wang, Alexander Hanbo Li, Yiqun Hu, et al.2026
57. Evaluating Communicative Belief Updates in Large Language Models via Implicature Recognition and CancellationarXiv:2607.25094Cesare Spinoso-Di Piano, Verna Dankers, Marius Mosbach, et al.2026
58. KOCOH: Korean Context-Dependent Hate Speech DatasetLanguage Resources and Evaluation Conference (LREC)Eunah Park, Sanghoun Song2026
59. Mitigating Judgment Preference Bias in Large Language Models through Group-Based PollingFindings of the Association for Computational LinguisticsShuliang Liu, Zhipeng Xu, Zhenghao Liu, et al.2026
60. Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al.2026
61. POLAR: A Corpus of Questions, Responses and Argumentation in Polish Political Radio DiscourseLanguage Resources and Evaluation Conference (LREC)Daniel Ziembicki, Aleksandra Zwierzchowska, Ewelina Sobol, et al.2026
62. Polite but Misaligned: Evaluating LLM Politeness Judgments Against Human Pragmatic NormsEMNLP2026Rong Wang; Kun Sun;, Yadong Guo2026
63. Position: Scores Without Context? Rethinking the Role of Evaluation in the Era of LLMsWorkshop on Generation, Evaluation and Metrics (GEM)Jiawei Zhou2026
64. 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
65. Superficial Success vs. Internal Breakdown: An Empirical Study of Generalization in Adaptive Multi-Agent SystemsFindings of the Association for Computational LinguisticsNamyeong So, Seokgyu Jang, Taeuk Kim2026
66. 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
67. The Inner Monologue of Language Models: When Reasoning Traces Reveal More Than They HideFindings of the Association for Computational LinguisticsPratham Singla, Shivank Garg, Ayush Singh, et al.2026
68. Towards an Analysis of Discourse and Interactional Pragmatic Reasoning Capabilities of Large Language ModelsarXiv:2408.03074Amelie Robrecht, Judith Sieker, Clara Lachenmaier, et al.2024

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