🧑‍🔬 Who cites Amir Feder

462 citations of their works from 423 papers of our library (of the 149,439 whose bibliographies we read) · 93 with a page here, the most cited first · ← Amir Feder

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. Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsComputational LinguisticsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 977 citations
4. How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and DetectionarXiv:2301.07597Biyang Guo, Xin Zhang, Ziyuan Wang, et al.2023 · 555 citations
5. Can language models learn from explanations in context?Findings of the Association for Computational LinguisticsAndrew Lampinen, Ishita Dasgupta, Stephanie Chan, et al.2022 · 295 citations
6. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
7. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
8. AI Alignment: A Comprehensive SurveyarXiv:2310.19852Jiaming Ji, Tianyi Qiu, Boyuan Chen, et al.2023 · 173 citations
9. Language models show human-like content effects on reasoning tasksarXiv:2207.07051Ishita Dasgupta, Andrew K. Lampinen, Stephanie C. Y. Chan, et al.2022 · 162 citations
10. Reasoning with Language Model Prompting: A SurveyarXiv:2212.09597Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 161 citations
11. Explaining NLP Models via Minimal Contrastive Editing (MiCE)Findings of the Association for Computational LinguisticsAlexis Ross, Ana Marasović, Matthew Peters2021 · 155 citations
12. A Roadmap to Pluralistic AlignmentarXiv:2402.05070Taylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 143 citations
13. DeepInception: Hypnotize Large Language Model to Be JailbreakerarXiv:2311.03191Xuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 141 citations
14. Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey DesignTransactions of the Association for Computational Linguistics (TACL)Lindia Tjuatja, Valerie Chen, Tongshuang Wu, et al.2024 · 140 citations
15. Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Röttger, Valentin Hofmann, Valentina Pyatkin, et al.2024 · 137 citations
16. Aligning Faithful Interpretations with their Social AttributionTransactions of the Association for Computational Linguistics (TACL)Alon Jacovi, Yoav Goldberg2021 · 123 citations
17. LLM Self Defense: By Self Examination, LLMs Know They Are Being TrickedarXiv:2308.07308Mansi Phute, Alec Helbling, Matthew Hull, et al.2023 · 119 citations
18. Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and DutiesProceedings of the AAAI Conference on Artificial IntelligenceTaylor Sorensen, Liwei Jiang, Jena Hwang, et al.2023 · 116 citations
19. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
20. Mechanistic Interpretability for AI Safety — A ReviewarXiv:2404.14082Leonard Bereska, Efstratios Gavves2024 · 108 citations
21. CausaLM: Causal Model Explanation Through Counterfactual Language ModelsComputational LinguisticsAmir Feder, Nadav Oved, Uri Shalit, et al.2021 · 107 citations
22. Text and Patterns: For Effective Chain of Thought, It Takes Two to TangoarXiv:2209.07686Aman Madaan, Amir Yazdanbakhsh2022 · 98 citations
23. Moral Foundations of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Marwa Abdulhai, Gregory Serapio-García, Clement Crepy, et al.2024 · 94 citations
24. “My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language ModelsFindings of the Association for Computational LinguisticsXinpeng Wang, Bolei Ma, Chengzhi Hu, et al.2024 · 91 citations
25. Alignment for HonestyConference on Neural Information Processing Systems (NeurIPS)Yuqing Yang, Ethan Chern, Xipeng Qiu, et al.2023 · 90 citations
26. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
27. Neuron-level Interpretation of Deep NLP Models: A SurveyTransactions of the Association for Computational Linguistics (TACL)Hassan Sajjad, Nadir Durrani, Fahim Dalvi2022 · 85 citations
28. HalluLens: LLM Hallucination BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL)Yejin Bang, Ziwei Ji, Alan Schelten, et al.2025 · 82 citations
29. Finding Alignments Between Interpretable Causal Variables and Distributed Neural RepresentationsarXiv:2303.02536Atticus Geiger, Zhengxuan Wu, Christopher Potts, et al.2023 · 81 citations
30. Interpretability at Scale: Identifying Causal Mechanisms in AlpacaConference on Neural Information Processing Systems (NeurIPS)Zhengxuan Wu, Atticus Geiger, Thomas Icard, et al.2023 · 81 citations
31. LLMs Know More Than They Show: On the Intrinsic Representation of LLM HallucinationsarXiv:2410.02707Hadas Orgad, Michael Toker, Zorik Gekhman, et al.2024 · 68 citations
32. Modular Pluralism: Pluralistic Alignment via Multi-LLM CollaborationConference on Empirical Methods in Natural Language Processing (EMNLP)Shangbin Feng, Taylor Sorensen, Yuhan Liu, et al.2024 · 68 citations
33. A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, et al.2023 · 65 citations
34. A Survey of Graph Retrieval-Augmented Generation for Customized Large Language ModelsarXiv:2501.13958Qinggang Zhang, Shengyuan Chen, Yuanchen Bei, et al.2025 · 64 citations
35. Linear Representations of Sentiment in Large Language ModelsarXiv:2310.15154Curt Tigges, Oskar John Hollinsworth, Atticus Geiger, et al.2023 · 64 citations
36. The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Nitay Calderon, Roi Reichart, Rotem Dror2025 · 52 citations
37. 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
38. MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment TasksConference on Neural Information Processing Systems (NeurIPS)Allen Nie, Yuhui Zhang, Atharva Amdekar, et al.2023 · 41 citations
39. Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?Conference on Empirical Methods in Natural Language Processing (EMNLP)Gal Yona, Roee Aharoni, Mor Geva2024 · 40 citations
40. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
41. 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
42. The Life Cycle of Knowledge in Big Language Models: A SurveyarXiv:2303.07616 · Machine Intelligence Research. vol. 21, no. 2, pp. 217-238, 2024Boxi Cao, Hongyu Lin, Xianpei Han, et al.2023 · 31 citations
43. Rigorously Assessing Natural Language Explanations of NeuronsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPJing Huang, Atticus Geiger, Karel D'Oosterlinck, et al.2023 · 30 citations
44. 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
45. IfQA: A Dataset for Open-domain Question Answering under Counterfactual PresuppositionsWenhao Yu, Meng Jiang, Peter Clark, et al.2023 · 26 citations
46. Language Model Alignment in Multilingual Trolley ProblemsarXiv:2407.02273Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti, et al.2024 · 23 citations
47. How Likely Do LLMs with CoT Mimic Human Reasoning?International Conference on Computational Linguistics (COLING)Guangsheng Bao, Hongbo Zhang, Cunxiang Wang, et al.2025 · 22 citations
48. Can Unconfident LLM Annotations Be Used for Confident Conclusions?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kristina Gligorić, Tijana Zrnic, Cinoo Lee, et al.2025 · 19 citations
49. Naturalistic Causal Probing for Morpho-SyntaxTransactions of the Association for Computational Linguistics (TACL)Afra Amini, Tiago Pimentel, Clara Meister, et al.2023 · 19 citations
50. Baichuan-Omni Technical ReportarXiv:2410.08565Yadong Li, Haoze Sun, Mingan Lin, et al.2024 · 18 citations
51. Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yuan Sui, Yufei He, Zifeng Ding, et al.2025 · 16 citations
52. A Reality Check on Context Utilisation for Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Lovisa Hagström, Sara Vera Marjanovic, Haeun Yu, et al.2025 · 13 citations
53. LoGU: Long-form Generation with Uncertainty ExpressionsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruihan Yang, Caiqi Zhang, Zhisong Zhang, et al.2025 · 13 citations
54. Fast and Effective On-Policy Distillation from Reasoning PrefixesFindings of the Association for Computational LinguisticsDongxu Zhang, Zhichao Yang, Sepehr Janghorbani, et al.2026 · 12 citations
55. Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data FilteringAnnual Meeting of the Association for Computational Linguistics (ACL)Shuzheng Si, Haozhe Zhao, Gang Chen, et al.2025 · 11 citations
56. From Language to Cognition: How LLMs Outgrow the Human Language NetworkConference on Empirical Methods in Natural Language Processing (EMNLP)Badr AlKhamissi, Greta Tuckute, Yingtian Tang, et al.2025 · 11 citations
57. 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
58. Child-Directed Language Does Not Consistently Boost Syntax Learning in Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Francesca Padovani, Jaap Jumelet, Yevgen Matusevych, et al.2025 · 9 citations
59. Constructions are Revealed in Word DistributionsConference on Empirical Methods in Natural Language Processing (EMNLP)Joshua Rozner, Leonie Weissweiler, Kyle Mahowald, et al.2025 · 9 citations
60. The Quest for the Right Mediator: Surveying Mechanistic Interpretability for NLP Through the Lens of Causal Mediation AnalysisComputational LinguisticsAaron Mueller, Jannik Brinkmann, Millicent Li, et al.2026 · 7 citations
61. Interventional Probing in High Dimensions: An NLI Case StudyFindings of the Association for Computational LinguisticsJulia Rozanova, Marco Valentino, Lucas Cordeiro, et al.2023 · 7 citations
62. MetaFaith: Faithful Natural Language Uncertainty Expression in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, et al.2025 · 6 citations
63. Comparing Moral Values in Western English-speaking societies and LLMs with Word AssociationsAnnual Meeting of the Association for Computational Linguistics (ACL)Chaoyi Xiang, Chunhua Liu, Simon De Deyne, et al.2025 · 3 citations
64. Abstain-R1: Calibrated Abstention and Post-Refusal Clarification via Verifiable RLFindings of the Association for Computational LinguisticsHaotian Zhai, Jingcheng Liang, Dongyeop Kang2026 · 2 citations
65. Fine-Grained Detection of Context-Grounded Hallucinations Using LLMsFindings of the Association for Computational LinguisticsYehonatan Peisakhovsky, Zorik Gekhman, Yosi Mass, et al.2026 · 1 citation
66. The Pluralistic Moral Gap: Understanding Moral Judgment and Value Differences between Humans and Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Giuseppe Russo, Debora Nozza, Paul Röttger, et al.2026 · 1 citation
67. A Survey of Large Models in SportsFindings of the Association for Computational LinguisticsYichen Xu, Jianzhe Ma, Chuhan Wang, et al.2026
68. BubbleRAG: Interactive Cognitive Offloading with Thought Bubble in Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsFuda Ye, Jiachuan Wang, Yongqi Zhang, et al.2026
69. CATS: An Annotation Scheme of Causality and Temporal StructureJoint ACL-ISO Workshop on Interoperable Semantic AnnotationNana Yu, Purificação Silvano, Luís Filipe Cunha, et al.2026
70. CoopValue: Revealing LLM Value Preferences Through Multi-Agent CooperationFindings of the Association for Computational LinguisticsZee Hen Tang, Mi-Yen Yeh2026
71. Credal Concept Bottleneck Models for Epistemic–Aleatoric Uncertainty DecompositionAnnual Meeting of the Association for Computational Linguistics (ACL)Tanmoy Mukherjee, Thomas Bailleux, Pierre Marquis, et al.2026
72. Do Emotions Influence Moral Judgment in Large Language Models?Findings of the Association for Computational LinguisticsMohammad Saim, Tianyu Jiang2026
73. Do Language Models Think Consistently? A Study of Value Preferences Across Varying Response LengthsFindings of the Association for Computational LinguisticsInderjeet Jayakumar Nair, Lu Wang2026
74. Don't Want Your LLM to Recommend Nuclear Strike? Try Asking It in JapaneseWorkshop on Trustworthy NLPRian Touchent2026
75. EMPATH: An Ensemble Method for Automatic Fine-Grained Turn-Level Dialogue Empathy Evaluation with a Novel Emotional Distance MetricFindings of the Association for Computational LinguisticsDongning Rao, Zhihua Liang, Zhihua Jiang2026
76. 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
77. Getting Close to Cloze: Investigating Language Model and Human Cloze-test Performance in AfrikaansResources for African Indigenous Languages (RAIL) @ LRECSusan Lotz, Rik van Noord, Gertjan van Noord2026
78. Integrating AI into Arabic Linguistics: A Methodological Framework for Reproducible and Interpretable ResearchAl-Ta rib Jurnal Ilmiah Program Studi Pendidikan Bahasa Arab IAIN Palangka RayaIsmail Akzam, Mohammad Ikhwan Bin Abdullah2026
79. Large-Scale Diverse Synthesis for Mid-TrainingFindings of the Association for Computational LinguisticsXuemiao Zhang, Chengying Tu, Can Ren, et al.2026
80. LeakDojo: Decoding the Leakage Threats of RAG SystemsFindings of the Association for Computational LinguisticsMaosen Zhang, Jianshuo Dong, Lu Boting, et al.2026
81. LIBERTy: A Causal Framework for Benchmarking Concept-Based Explanations of LLMs with Structural CounterfactualsFindings of the Association for Computational LinguisticsGilat Toker, Nitay Calderon, Ohad Amosy, et al.2026
82. Memory efficiency and resource-rational encoding in sentence processingAnnual Meeting of the Association for Computational Linguistics (ACL)Weijie Xu, Brian Dillon, Richard Futrell2026
83. Non-literal Meaning Representation in the Brain during Naturalistic ListeningSociety for Computation in Linguistics (SCiL)Zhengwu Ma, Yuhan Huang, Chengcheng Wang, et al.2026
84. Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT ModelsLanguage Resources and Evaluation Conference (LREC)Gyu-Ho Shin, Soo-Hwan Lee, Chanyoung Lee2026
85. PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the BeginningFindings of the Association for Computational LinguisticsLangming Liu, Kangtao Lv, Haibin Chen, et al.2026
86. 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
87. Rewriting History: A Recipe for Interventional Analyses to Study Data Effects on Model BehaviorTransactions of the Association for Computational Linguistics (TACL)Rahul Nadkarni, Yanai Elazar, Hila Gonen, et al.2026
88. Similar Predictions, Different Processes: A Multi-Level Comparison of Human and Multimodal LLM Language PredictionConference on Computational Natural Language Learning (CoNLL)Shuqi Wang, Zhenguang Cai2026
89. Simulating Crisis Cognition: A Computational Framework for Hypothesis Generation in Crisis CommunicationFindings of the Association for Computational LinguisticsChangsen Yuan, Yanghao Zhou, Chong Feng, et al.2026
90. Temporal Precision Matters: Brain-Tuning Speech Language Models with Millisecond-Resolution Neural SignalsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhejun Zhang, Wenqing Zhou, Haozhe Xu, et al.2026
91. Toward Cognitive Alignment in Large Language Models: Integrating Linguistic Theory and Human DataWorkshop on Cognitive Modeling and Computational Linguistics (CMCL)Wajdi Zaghouani2026
92. What Brain Data Adds to Language Model TrainingConference on Computational Natural Language Learning (CoNLL)Gabriele Merlin, Omer Moussa, Mariya Toneva2026
93. “Sorry, Can't Help You”: How Large Language Models Judge Failures to Help Across LanguagesWorkshop on Cross-Cultural Considerations in NLPPavithra P M Nair, Gilad Gressel, Krishnashree Achuthan2026

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