🧑‍🔬 Who cites Matthias Bethge

446 citations of their works from 432 papers of our library (of the 149,439 whose bibliographies we read) · 72 with a page here, the most cited first · ← Matthias Bethge

1. Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020Alec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,767 citations
2. PaLM: Scaling Language Modeling with PathwaysarXiv:2204.02311Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,753 citations
3. Measuring Massive Multitask Language UnderstandingarXiv:2009.03300Dan Hendrycks, Collin Burns, Steven Basart, et al.2020 · 3,620 citations
4. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
5. Robust Speech Recognition via Large-Scale Weak SupervisionarXiv:2212.04356Alec Radford, Jong Wook Kim, Tao Xu, et al.2022 · 2,546 citations
6. Style Transfer from Non-Parallel Text by Cross-AlignmentTianxiao Shen, Tao Lei, Regina Barzilay, et al.2017 · 979 citations
7. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondACM Transactions on Knowledge Discovery from DataJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 814 citations
8. Style Transfer in Text: Exploration and EvaluationProceedings of the AAAI Conference on Artificial IntelligenceZhenxin Fu, Xiaoye Tan, Nanyun Peng, et al.2017 · 703 citations
9. Similarity of Neural Network Representations RevisitedarXiv:1905.00414Simon Kornblith, Mohammad Norouzi, Honglak Lee, et al.2019 · 679 citations
10. Benchmarking Neural Network Robustness to Common Corruptions and PerturbationsarXiv:1903.12261Dan Hendrycks, Thomas Dietterich2019 · 434 citations
11. Factual Probing Is [MASK]: Learning vs. Learning to RecallConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zexuan Zhong, Dan Friedman, Danqi Chen2021 · 415 citations
12. Faith and Fate: Limits of Transformers on CompositionalityConference on Neural Information Processing Systems (NeurIPS)Nouha Dziri, Ximing Lu, Melanie Sclar, et al.2023 · 327 citations
13. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationarXiv:2201.05955Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 317 citations
14. Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning ApproachAnnual Meeting of the Association for Computational Linguistics (ACL)Jingjing Xu, Xu Sun, Qi Zeng, et al.2018 · 303 citations
15. Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsConference on Neural Information Processing Systems (NeurIPS)Shengbang Tong, Ellis Brown, Penghao Wu, et al.2024 · 208 citations
16. Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP ResearchersarXiv:2409.04109Chenglei Si, Diyi Yang, Tatsunori Hashimoto2024 · 196 citations
17. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
18. Controllable Paraphrase Generation with a Syntactic ExemplarAnnual Meeting of the Association for Computational Linguistics (ACL)Mingda Chen, Qingming Tang, Sam Wiseman, et al.2019 · 173 citations
19. Abstraction and analogy-making in artificial intelligenceMelanie Mitchell2021 · 161 citations
20. Unsupervised Text Style Transfer using Language Models as DiscriminatorsarXiv:1805.11749Zichao Yang, Zhiting Hu, Chris Dyer, et al.2018 · 161 citations
21. Measure and Improve Robustness in NLP Models: A SurveyConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xuezhi Wang, Haohan Wang, Diyi Yang2022 · 148 citations
22. TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL)Xiao Wang, Qin Liu, Tao Gui, et al.2021 · 147 citations
23. Agent Laboratory: Using LLM Agents as Research AssistantsarXiv:2501.04227Samuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 139 citations
24. Mapping global dynamics of benchmark creation and saturation in artificial intelligenceNature CommunicationsSimon Ott, Adriano Barbosa-Silva, Kathrin Blagec, et al.2022 · 93 citations
25. LLM Inference Unveiled: Survey and Roofline Model InsightsarXiv 2024Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.2024 · 91 citations
26. From RAG to Memory: Non-Parametric Continual Learning for Large Language ModelsarXiv:2502.14802Bernal Jimenez Gutierrez, Yiheng Shu, Weijian Qi, et al.2025 · 90 citations
27. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
28. Phi-4-reasoning Technical ReportarXiv:2504.21318Marah Abdin, Sahaj Agarwal, Ahmed Awadallah, et al.2025 · 64 citations
29. Multimodal Table UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyu Zheng, Xinwei Feng, Qingyi Si, et al.2024 · 62 citations
30. Generalizing Verifiable Instruction FollowingConference on Neural Information Processing Systems (NeurIPS)Valentina Pyatkin, Saumya Malik, Victoria Graf, et al.2025 · 59 citations
31. OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AIConference on Neural Information Processing Systems (NeurIPS)Zhen Huang, Zengzhi Wang, Shijie Xia, et al.2024 · 56 citations
32. Spurious Rewards: Rethinking Training Signals in RLVRarXiv:2506.10947Rulin Shao, Shuyue Stella Li, Rui Xin, et al.2025 · 53 citations
33. AgentRxiv: Towards Collaborative Autonomous ResearcharXiv:2503.18102Samuel Schmidgall, Michael Moor2025 · 39 citations
34. CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent BenchmarkarXiv:2409.11363Zachary S. Siegel, Sayash Kapoor, Nitya Nadgir, et al.2024 · 39 citations
35. LitSearch: A Retrieval Benchmark for Scientific Literature SearchConference on Empirical Methods in Natural Language Processing (EMNLP)Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, et al.2024 · 39 citations
36. Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2arXiv:2502.03544Yuri Chervonyi, Trieu H. Trinh, Miroslav Olšák, et al.2025 · 31 citations
37. Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learningConference on Computational Natural Language Learning (CoNLL)Lucas Weber, Elia Bruni, Dieuwke Hupkes2023 · 29 citations
38. Context Matters: A Pragmatic Study of PLMs' Negation UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Reto Gubelmann, Siegfried Handschuh2022 · 28 citations
39. Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoxiang Sun, Yingqian Min, Zhipeng Chen, et al.2026 · 25 citations
40. Experiential Co-Learning of Software-Developing AgentsarXiv:2312.17025Chen Qian, Yufan Dang, Jiahao Li, et al.2023 · 24 citations
41. Fool Your (Vision and) Language Model With Embarrassingly Simple PermutationsarXiv:2310.01651Yongshuo Zong, Tingyang Yu, Ruchika Chavhan, et al.2023 · 24 citations
42. Physion: Evaluating Physical Prediction from Vision in Humans and MachinesarXiv:2106.08261Daniel M. Bear, Elias Wang, Damian Mrowca, et al.2021 · 23 citations
43. Automated Hypothesis Validation with Agentic Sequential FalsificationsarXiv:2502.09858Kexin Huang, Ying Jin, Ryan Li, et al.2025 · 19 citations
44. REFORMS: Reporting Standards for Machine Learning Based SciencearXiv:2308.07832Sayash Kapoor, Emily Cantrell, Kenny Peng, et al.2023 · 19 citations
45. 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
46. PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for FreeAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Li, Xiaogeng Liu, Ning Zhang, et al.2025 · 16 citations
47. Prompting for explanations improves Adversarial NLI. Is this true? \Yes\ it is \true\ because ıt weakens superficial cues\Findings of the Association for Computational LinguisticsPride Kavumba, Ana Brassard, Benjamin Heinzerling, et al.2023 · 14 citations
48. Safer or Luckier? LLMs as Safety Evaluators Are Not Robust to ArtifactsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongyu Chen, Seraphina Goldfarb-Tarrant2025 · 13 citations
49. 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
50. Literature Meets Data: A Synergistic Approach to Hypothesis GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li, et al.2025 · 12 citations
51. Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research PapersAnnual Meeting of the Association for Computational Linguistics (ACL)Zhijian Xu, Yilun Zhao, Manasi Patwardhan, et al.2025 · 11 citations
52. IRIS: Interactive Research Ideation System for Accelerating Scientific DiscoveryAnnual Meeting of the Association for Computational Linguistics (ACL)Aniketh Garikaparthi, Manasi Patwardhan, Lovekesh Vig, et al.2025 · 11 citations
53. 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language ModelsarXiv:2505.00551Chong Zhang, Yue Deng, Xiang Lin, et al.2025 · 9 citations
54. An Empirical Study of Synthetic Data Generation for Implicit Discourse Relation RecognitionLanguage Resources and Evaluation Conference (LREC)Kazumasa Omura, Fei Cheng, Sadao Kurohashi2024 · 8 citations
55. Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-ThoughtarXiv:2510.04230Guijin Son, Donghun Yang, Hitesh Laxmichand Patel, et al.2025 · 7 citations
56. Towards more Human-like Language Models based on Contextualizer Pretraining StrategyConference on Computational Natural Language Learning (CoNLL)Chenghao Xiao, G Thomas Hudson, Noura Al Moubayed2023 · 7 citations
57. AI for Auto-Research: Roadmap & User GuidearXiv:2605.18661Lingdong Kong, Xian Sun, Wei Chow, et al.2026 · 5 citations
58. Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Binghai Wang, Yantao Liu, Yuxuan Liu, et al.2026 · 3 citations
59. Prose for a PaintingarXiv:1910.03634 · ICCV Workshop on Closing the Loop Between Vision and Language, 2019Prerna Kashyap, Samrat Phatale, Iddo Drori2019 · 3 citations
60. Colloquial Singaporean English Style Transfer with Fine-Grained Explainable ControlAnnual Meeting of the Association for Computational Linguistics (ACL)Jinggui Liang, Dung Vo, Yap Hong Xian, et al.2025 · 2 citations
61. Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic PatternsarXiv:2201.07614Reto Gubelmann, Siegfried Handschuh2022 · 2 citations
62. Position: Correct Answer, Wrong Mechanism — When AI Scientists Defend General Claims Their Own Data ContradictsarXiv:2606.23175Steven Young Eulig2026 · 1 citation
63. 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
64. Do Transformers Grok Succinct Algorithms? Mechanistic Evidence for Counting CircuitsFindings of the Association for Computational LinguisticsYizheng Zhao2026
65. Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel KnowledgeWorkshop on Generation, Evaluation and Metrics (GEM)Zhuoyi Yang, Yurun Song, Kyler G. Harris, et al.2026
66. Grammar Search for Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Mayank Singh, Vikas Yadav, Shiva Krishna Reddy Malay, et al.2026
67. HyperparameterOmens at SemEval-2026 Task 13: Various approaches to detecting machine- generated codeInternational Workshop on Semantic Evaluation (SemEval)Dmitry Sukhotin, How Yu2026
68. Learning to Refine: Self-Refinement of Parallel Reasoning in LLMsFindings of the Association for Computational LinguisticsQibin Wang, Pu Zhao, Shaohan Huang, et al.2026
69. Measuring and Mitigating Shortcut Reliance in Language Models with Probe-Based Representation EntanglementAnnual Meeting of the Association for Computational Linguistics (ACL)Divyajot Singh2026
70. Pushing the Frontiers of Scientific Fact-Checking: The SCINLP DatasetFindings of the Association for Computational LinguisticsIffat Maab, Junichi Yamagishi2026
71. Reflect, Rewrite, Repeat: How Simple Arithmetic Enables Advanced Reasoning in Small Language ModelsFindings of the Association for Computational LinguisticsMengdie Flora Wang, Haochen Xie, Mun Young Kim, et al.2026
72. Toward Consistent World Models with Multi-Token Prediction and Latent Semantic EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Qimin Zhong, Hao Liao, Haiming Qin, et al.2026

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