🧑‍🔬 Who cites Roei Schuster

572 citations of their works from 556 papers of our library (of the 149,439 whose bibliographies we read) · 93 with a page here, the most cited first · ← Roei Schuster

1. Survey of Hallucination in Natural Language GenerationACM Computing SurveysZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,974 citations
2. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
3. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
4. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
5. Explainability for Large Language Models: A SurveyACM Transactions on Intelligent Systems and TechnologyHaiyan Zhao, Hanjie Chen, Fan Yang, et al.2023 · 790 citations
6. A Survey on Automated Fact-CheckingTransactions of the Association for Computational Linguistics (TACL)Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos2022 · 647 citations
7. Towards a Unified View of Parameter-Efficient Transfer LearningarXiv:2110.04366Junxian He, Chunting Zhou, Xuezhe Ma, et al.2021 · 619 citations
8. Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary SpaceConference on Empirical Methods in Natural Language Processing (EMNLP)Mor Geva, Avi Caciularu, Kevin Ro Wang, et al.2022 · 346 citations
9. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
10. Get Your Vitamin C! Robust Fact Verification with Contrastive EvidenceConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tal Schuster, Adam Fisch, Regina Barzilay2021 · 290 citations
11. A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsComputational LinguisticsJunchao Wu, Shu Yang, Runzhe Zhan, et al.2025 · 277 citations
12. Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and ToxicityarXiv:2301.12867Terry Yue Zhuo, Yujin Huang, Chunyang Chen, et al.2023 · 249 citations
13. Automatic Detection of Machine Generated Text: A Critical SurveyInternational Conference on Computational Linguistics (COLING)Ganesh Jawahar, Muhammad Abdul-Mageed, Laks Lakshmanan V.S.2020 · 247 citations
14. Transformer Memory as a Differentiable Search IndexConference on Neural Information Processing Systems (NeurIPS)Yi Tay, Vinh Q. Tran, Mostafa Dehghani, et al.2022 · 223 citations
15. Eliciting Latent Predictions from Transformers with the Tuned LensarXiv:2303.08112Nora Belrose, Igor Ostrovsky, Lev McKinney, et al.2023 · 188 citations
16. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 171 citations
17. Large Language Models with Controllable Working MemoryFindings of the Association for Computational LinguisticsDaliang Li, Ankit Singh Rawat, Manzil Zaheer, et al.2023 · 158 citations
18. How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language modelConference on Neural Information Processing Systems (NeurIPS)Michael Hanna, Ollie Liu, Alexandre Variengien2023 · 151 citations
19. TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text GenerationFindings of the Association for Computational LinguisticsAdaku Uchendu, Zeyu Ma, Thai Le, et al.2021 · 140 citations
20. Investigating Data Contamination in Modern Benchmarks for Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chunyuan Deng, Yilun Zhao, Xiangru Tang, et al.2024 · 137 citations
21. Analyzing Transformers in Embedding SpaceAnnual Meeting of the Association for Computational Linguistics (ACL)Guy Dar, Mor Geva, Ankit Gupta, et al.2023 · 130 citations
22. Large Language Model Alignment: A SurveyarXiv:2309.15025Tianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 124 citations
23. Transformer-Patcher: One Mistake worth One NeuronarXiv:2301.09785Zeyu Huang, Yikang Shen, Xiaofeng Zhang, et al.2023 · 123 citations
24. Physics of Language Models: Part 3.1, Knowledge Storage and ExtractionarXiv:2309.14316Zeyuan Allen-Zhu, Yuanzhi Li2023 · 116 citations
25. Calibrating Factual Knowledge in Pretrained Language ModelsFindings of the Association for Computational LinguisticsQingxiu Dong, Damai Dai, Yifan Song, et al.2022 · 115 citations
26. RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text DetectorsAnnual Meeting of the Association for Computational Linguistics (ACL)Liam Dugan, Alyssa Hwang, Filip Trhlík, et al.2024 · 110 citations
27. How do Large Language Models Handle Multilingualism?Conference on Neural Information Processing Systems (NeurIPS)Yiran Zhao, Wenxuan Zhang, Guizhen Chen, et al.2024 · 102 citations
28. Retrieval Head Mechanistically Explains Long-Context FactualityarXiv:2404.15574Wenhao Wu, Yizhong Wang, Guangxuan Xiao, et al.2024 · 94 citations
29. Finding Skill Neurons in Pre-trained Transformer-based Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaozhi Wang, Kaiyue Wen, Zhengyan Zhang, et al.2022 · 85 citations
30. Understanding Transformer Memorization Recall Through IdiomsConference of the European Chapter of the Association for Computational Linguistics (EACL)Adi Haviv, Ido Cohen, Jacob Gidron, et al.2023 · 62 citations
31. TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful SpaceAnnual Meeting of the Association for Computational Linguistics (ACL)Shaolei Zhang, Tian Yu, Yang Feng2024 · 57 citations
32. Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop QueriesConference on Empirical Methods in Natural Language Processing (EMNLP)Eden Biran, Daniela Gottesman, Sohee Yang, et al.2024 · 55 citations
33. Future Lens: Anticipating Subsequent Tokens from a Single Hidden StateConference on Computational Natural Language Learning (CoNLL)Koyena Pal, Jiuding Sun, Andrew Yuan, et al.2023 · 49 citations
34. Interpretable Unified Language CheckingarXiv:2304.03728Tianhua Zhang, Hongyin Luo, Yung-Sung Chuang, et al.2023 · 32 citations
35. 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
36. How to Dissect a Muppet: The Structure of Transformer Embedding SpacesTransactions of the Association for Computational Linguistics (TACL)Timothee Mickus, Denis Paperno, Mathieu Constant2022 · 31 citations
37. 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
38. Competition of Mechanisms: Tracing How Language Models Handle Facts and CounterfactualsAnnual Meeting of the Association for Computational Linguistics (ACL)Francesco Ortu, Zhijing Jin, Diego Doimo, et al.2024 · 23 citations
39. Knowledge Sanitization of Large Language ModelsarXiv:2309.11852Yoichi Ishibashi, Hidetoshi Shimodaira2023 · 21 citations
40. SLAM: Towards Efficient Multilingual Reasoning via Selective Language AlignmentInternational Conference on Computational Linguistics (COLING)Yuchun Fan, Yongyu Mu, YiLin Wang, et al.2025 · 20 citations
41. Semantics of Multiword Expressions in Transformer-Based Models: A SurveyTransactions of the Association for Computational Linguistics (TACL)Filip Miletić, Sabine Schulte im Walde2024 · 20 citations
42. Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss WeightingConference on Empirical Methods in Natural Language Processing (EMNLP)Emmy Liu, Aditi Chaudhary, Graham Neubig2023 · 17 citations
43. Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zeping Yu, Yonatan Belinkov, Sophia Ananiadou2025 · 16 citations
44. A Survey on Latent ReasoningarXiv:2507.06203Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.2025 · 15 citations
45. Measuring Chain of Thought Faithfulness by Unlearning Reasoning StepsConference on Empirical Methods in Natural Language Processing (EMNLP)Martin Tutek, Fateme Hashemi Chaleshtori, Ana Marasovic, et al.2025 · 15 citations
46. Rethinking Reflection in Pre-TrainingarXiv:2504.04022Essential AI: Darsh J Shah, Peter Rushton, Somanshu Singla, et al.2025 · 15 citations
47. Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?Findings of the Association for Computational LinguisticsZhiting Mei, Christina Zhang, Tenny Yin, et al.2026 · 14 citations
48. ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenliang Zhang, Xinyu Hu, Huixuan Zhang, et al.2025 · 14 citations
49. Enhancing Automated Interpretability with Output-Centric Feature DescriptionsAnnual Meeting of the Association for Computational Linguistics (ACL)Yoav Gur-Arieh, Roy Mayan, Chen Agassy, et al.2025 · 13 citations
50. Safety Alignment via Constrained Knowledge UnlearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zesheng Shi, Yucheng Zhou, Jing Li, et al.2025 · 13 citations
51. SAEs Are Good for Steering – If You Select the Right FeaturesConference on Empirical Methods in Natural Language Processing (EMNLP)Dana Arad, Aaron Mueller, Yonatan Belinkov2025 · 12 citations
52. Disentangling Language and Culture for Evaluating Multilingual Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahao Ying, Wei Tang, Yiran Zhao, et al.2025 · 10 citations
53. Debiasing Algorithm through Model AdaptationarXiv:2310.18913Tomasz Limisiewicz, David Mareček, Tomaš Musil2023 · 10 citations
54. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language ModelsFindings of the Association for Computational LinguisticsHengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.2026 · 9 citations
55. RGR-KBQA: Generating Logical Forms for Question Answering Using Knowledge-Graph-Enhanced Large Language ModelInternational Conference on Computational Linguistics (COLING)Tengfei Feng, Liang He2025 · 9 citations
56. The Mirage of Model Editing: Revisiting Evaluation in the WildAnnual Meeting of the Association for Computational Linguistics (ACL)Wanli Yang, Fei Sun, Jiajun Tan, et al.2025 · 9 citations
57. Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual CounterfactsConference on Empirical Methods in Natural Language Processing (EMNLP)Michal Golovanevsky, William Rudman, Michael A. Lepori, et al.2025 · 8 citations
58. A Survey of Idiom Datasets for Psycholinguistic and Computational ResearchConference on Natural Language ProcessingMichael Flor, Xinyi Liu, Anna Feldman2025 · 5 citations
59. Modeling LLM Unlearning as an Asymmetric Two-Task Learning ProblemAnnual Meeting of the Association for Computational Linguistics (ACL)Zeguan Xiao, Siqing Li, Yong Wang, et al.2026 · 2 citations
60. When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Francesco Ortu, Zhijing Jin, Diego Doimo, et al.2026 · 2 citations
61. Beyond Variance: Knowledge-Aware LLM Compression via Fisher-Aligned Subspace DiagnosticsAnnual Meeting of the Association for Computational Linguistics (ACL)Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma2026 · 1 citation
62. 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
63. Constructing Interpretable Features from Compositional Neuron GroupsAnnual Meeting of the Association for Computational Linguistics (ACL)Or David Shafran, Atticus Geiger, Mor Geva2026 · 1 citation
64. From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM QuantizationFindings of the Association for Computational LinguisticsChenxi Zhou, Pengfei Cao, Jiang Li, et al.2026 · 1 citation
65. How Chain-of-Thought Works? Tracing Information Flow from Decoding, Projection, and ActivationFindings of the Association for Computational LinguisticsHao Yang, Qinghua Zhao, Lei Li, et al.2026 · 1 citation
66. KV-Embedding: Training-free Text Embedding via Internal KV Re-routing in Decoder-only LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yixuan Tang, Yi Yang2026 · 1 citation
67. Multi-component Causal Tracing in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zirui Yan, Dennis Wei, Dmitriy A Katz, et al.2026 · 1 citation
68. NEAT: Neuron-Based Early Exit for Large Reasoning ModelsFindings of the Association for Computational LinguisticsKang Liu, YongKang Liu, Xiaocui Yang, et al.2026 · 1 citation
69. Reasoning Fails Where Step Flow BreaksAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyu Xu, Yulan Pan, Xiaosong Yuan, et al.2026 · 1 citation
70. Representation Interventions Enable Lifelong Knowledge Memory Control in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xuyuan Liu, Shengyu Chen, Xinshuai Dong, et al.2026 · 1 citation
71. SinFoS: A Parallel Dataset for Translating Sinhala Figures of SpeechWorkshop on Multiword Expressions (MWE)Johan Nevin Sofalas, Dilushri Pavithra, Nevidu Jayatilleke, et al.2026 · 1 citation
72. SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsWeijiang Lv, Yaoxuan Feng, Xiaobo Xia, et al.2026 · 1 citation
73. Tug-of-war between idioms' figurative and literal interpretations in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Soyoung Oh, Xinting Huang, Mathis Pink, et al.2026 · 1 citation
74. Why Steering Works: Toward a Unified View of Language Model Parameter DynamicsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziwen Xu, Chenyan WU, Hengyu Sun, et al.2026 · 1 citation
75. Bridging Linguistic Structure and Mechanistic Interpretability for Conceptual Interpretation in Language ModelsConference on Computational Natural Language Learning (CoNLL)Nura Aljaafari, Danilo Carvalho, Andre Freitas2026
76. CachePrune: Teaching LLMs What Not to Follow via KV-Cache EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Wang, Junda Wu, Yu Xia, et al.2026
77. CoDA: Restoring Contextual Dominance via Copy-Encouraged Attention Intervention for Mitigating RAG HallucinationsFindings of the Association for Computational LinguisticsJinWei Shi, Qizhuo Xie, Qianzi Hou, et al.2026
78. Corpus and Baselines for Distinguishing Authentic, AI-Generated, and AI-Enhanced ResumesLanguage Resources and Evaluation Conference (LREC)Andrea Loizidou, Anshu Kiran Sharma, Adrian Esquivel, et al.2026
79. Decoding-Unlearning: Fact Forgetting via Entropy-Guided InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Jingwen Pu, Mingjun Shi, Xinrui Ren, et al.2026
80. Detecting What Queries Seek: Steering LLM Safety with FFN Output Activation MonitoringAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaohao Luo, Ying Wei, Rui Zhao2026
81. Do Factual Recall Mechanisms Carry over from Text to Speech in Multimodal Language Models?Joint Conference on Lexical and Computational Semantics (*SEM)Luca Modica, Filip Landin, Mehrdad Farahani, et al.2026
82. EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressionsAnnual Meeting of the Association for Computational Linguistics (ACL)Charlotte Noel, Nicholas Asher, Olivier Gouvert, et al.2026
83. Embracing Anisotropy: Turning Massive Activations into Interpretable Control Knobs for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Youngji Roh, Hyunjin Cho, Jaehyung Kim2026
84. From Heads to Neurons: Causal Attribution and Steering in Multi-Task Vision–Language ModelsFindings of the Association for Computational LinguisticsQidong Wang, Junjie Hu, Ming Jiang2026
85. GKnow: Measuring the Entanglement of Gender Bias and Factual GenderAnnual Meeting of the Association for Computational Linguistics (ACL)Leonor Veloso, Hinrich Schuetze2026
86. How Do LLMs Generate Contrastive Sentiments? A Mechanistic PerspectiveConference of the European Chapter of the Association for Computational Linguistics (EACL)Van Bach Nguyen, Jörg Schlötterer, Christin Seifert2026
87. 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
88. Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Wai Man Si, Mingjie Li, Michael Backes, et al.2026
89. Revisiting a Pain in the Neck: A Semantic Reasoning Benchmark for Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Liu, Hongming Li, Melissa Xiaohui Qin, et al.2026
90. SpecEdit: A Spectral Approach for Multi-Round Knowledge EditingFindings of the Association for Computational LinguisticsJunxian Liu, Zikun Deng, Xin Wu, et al.2026
91. Spectral Characterization and Mitigation of Sequential Knowledge Editing CollapseAnnual Meeting of the Association for Computational Linguistics (ACL)Chi Zhang, Mengqi Zhang, Xiaotian Ye, et al.2026
92. Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yu-An Liu, Ruqing Zhang, Hongru Song, et al.2026
93. Student Guides Teacher: Weak-to-Strong Inference via Spectral Orthogonal ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Dayu Wang, Jiaye Yang, Weikang Li, et al.2026

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