Large Language Models Are Zero-Shot Reasoners

Cited by (197)

Items 101–197 of 197

1. Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation
   Lucas, Jason, Uchendu, Adaku, Yamashita, Michiharu, Lee, Jooyoung, Rohatgi, Shaurya, Lee, Dongwon · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
2. Large Language Models Cannot Self-Correct Reasoning Yet
   Huang, Jie, Chen, Xinyun, Mishra, Swaroop, Zheng, Huaixiu Steven, Yu, Adams Wei, Song, Xinying, Zhou, Denny · 2023 · arXiv
3. Ranking LLM-Generated Loop Invariants for Program Verification
   Chakraborty, Saikat, Lahiri, Shuvendu, Fakhoury, Sarah, Lal, Akash, Musuvathi, Madanlal, Rastogi, Aseem, Senthilnathan, Aditya, Sharma, Rahul, Swamy, Nikhil · 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
4. Generating dermatopathology reports from gigapixel whole slide images with HistoGPT
   Tran, Manuel, Schmidle, Paul, Guo, Ruifeng Ray, Wagner, Sophia J., Koch, Valentin, Lupperger, Valerio, Novotny, Brenna, Murphree, Dennis H., Hardway, Heather D., D’Amato, Marina et al. · 2025 · Nature Communications
5. Generative approach to Aspect Based Sentiment Analysis with GPT Language Models
   Chumakov, Stanislav, Kovantsev, Anton, Surikov, Anatoliy · 2023 · Procedia Computer Science
6. POSIX: A Prompt Sensitivity Index For Large Language Models
   Chatterjee, Anwoy, Renduchintala, H S V N S Kowndinya, Bhatia, Sumit, Chakraborty, Tanmoy · 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
7. Utilizing Large Language Models for Enhanced Clinical Trial Matching: A Study on Automation in Patient Screening
   Beattie, Jacob, Neufeld, Sarah, Yang, Daniel, Chukwuma, Christian, Gul, Ahmed, Desai, Neil, Jiang, Steve, Dohopolski, Michael · 2024 · Cureus
8. Can Language Models Handle Recursively Nested Grammatical Structures? A Case Study on Comparing Models and Humans
   Lampinen, Andrew · 2024 · Computational Linguistics
9. CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation
   Yan, Weixiang, Tian, Yuchen, Li, Yunzhe, Chen, Qian, Wang, Wen · 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
10. Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution
    Fernando, Chrisantha, Banarse, Dylan, Michalewski, Henryk, Osindero, Simon, Rocktäschel, Tim · 2023 · arXiv
11. On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex
    Zhuo, Terry Yue, Li, Zhuang, Huang, Yujin, Shiri, Fatemeh, Wang, Weiqing, Haffari, Gholamreza, Li, Yuan-Fang · 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
12. TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models
    Gekhman, Zorik, Herzig, Jonathan, Aharoni, Roee, Elkind, Chen, Szpektor, Idan · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
13. The language of prompting: What linguistic properties make a prompt successful?
    Leidinger, Alina, van Rooij, Robert, Shutova, Ekaterina · 2023 · arXiv
14. Toward Clinical-Grade Evaluation of Large Language Models
    Moreno, Amy C., Bitterman, Danielle S. · 2024 · International Journal of Radiation Oncology*Biology*Physics
15. Collective predictive coding hypothesis: symbol emergence as decentralized Bayesian inference
    Taniguchi, Tadahiro · 2024 · Frontiers in Robotics and AI
16. ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing
    Liu, Ryan, Shah, Nihar B. · 2023 · arXiv
17. Repository-Level Prompt Generation for Large Language Models of Code
    Shrivastava, Disha, Larochelle, Hugo, Tarlow, Daniel · 2022 · arXiv
18. Mixture-of-Agents Enhances Large Language Model Capabilities
    Wang, Junlin, Wang, Jue, Athiwaratkun, Ben, Zhang, Ce, Zou, James · 2024 · arXiv
19. Mindstorms in Natural Language-Based Societies of Mind
    Zhuge, Mingchen, Liu, Haozhe, Faccio, Francesco, Ashley, Dylan R., Csordás, Róbert, Gopalakrishnan, Anand, Hamdi, Abdullah, Hammoud, Hasan Abed Al Kader, Herrmann, Vincent, Irie, Kazuki et al. · 2023 · arXiv
20. Mindstorms in Natural Language-Based Societies of Mind
    Zhuge, Mingchen, Liu, Haozhe, Faccio, Francesco, Ashley, Dylan R., Csordás, Róbert, Gopalakrishnan, Anand, Hamdi, Abdullah, Hammoud, Hasan Abed Al Kader, Herrmann, Vincent, Irie, Kazuki et al. · 2025 · Computational Visual Media
21. TRAM: Benchmarking Temporal Reasoning for Large Language Models
    Wang, Yuqing, Zhao, Yun · 2024 · Findings of the Association for Computational Linguistics ACL 2024
22. More Agents Is All You Need
    Li, Junyou, Zhang, Qin, Yu, Yangbin, Fu, Qiang, Ye, Deheng · 2024 · arXiv
23. Inverse Scaling Can Become U-Shaped
    Wei, Jason, Kim, Najoung, Tay, Yi, Le, Quoc · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
24. ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis
    Liu, Yanming, Peng, Xinyue, Du, Tianyu, Yin, Jianwei, Liu, Weihao, Zhang, Xuhong · 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
25. Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models
    Nezhurina, Marianna, Cipolina-Kun, Lucia, Cherti, Mehdi, Jitsev, Jenia · 2024 · arXiv
26. Defense against prompt injection attack by leveraging attack techniques
    Chen, Yulin, Li, Haoran, Zheng, Zihao, Wu, Dekai, Song, Yangqiu, Hooi, Bryan · 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
27. Automated Claim Matching with Large Language Models: Empowering Fact-Checkers in the Fight Against Misinformation
    Choi, Eun Cheol, Ferrara, Emilio · 2024 · Companion Proceedings of the ACM Web Conference 2024
28. Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions
    Cao, Shulin, Zhang, Jiajie, Shi, Jiaxin, Lv, Xin, Yao, Zijun, Tian, Qi, Hou, Lei, Li, Juanzi · 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
29. A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models
    Stolfo, Alessandro, Jin, Zhijing, Shridhar, Kumar, Schoelkopf, Bernhard, Sachan, Mrinmaya · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
30. UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor
    Upadhyay, Shivani, Pradeep, Ronak, Thakur, Nandan, Craswell, Nick, Lin, Jimmy · 2024 · arXiv
31. The First Generative AI Prompt-A-Thon in Healthcare: A Novel Approach to Workforce Engagement with a Private Instance of ChatGPT
    Small, William R., Malhotra, Kiran, Major, Vincent J., Wiesenfeld, Batia, Lewis, Marisa, Grover, Himanshu, Tang, Huming, Banerjee, Arnab, Jabbour, Michael J., Aphinyanaphongs, Yindalon et al. · 2024 · PLOS Digital Health
32. Modeling Legal Reasoning: LM Annotation at the Edge of Human Agreement
    Thalken, Rosamond, Stiglitz, Edward, Mimno, David, Wilkens, Matthew · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
33. LitLLM: A Toolkit for Scientific Literature Review
    Agarwal, Shubham, Sahu, Gaurav, Puri, Abhay, Laradji, Issam H., Dvijotham, Krishnamurthy DJ, Stanley, Jason, Charlin, Laurent, Pal, Christopher · 2024 · arXiv
34. Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation
    Bhattarai, Manish, Santos, Javier E., Jones, Shawn, Biswas, Ayan, Alexandrov, Boian, O'Malley, Daniel · 2024 · 2024 IEEE High Performance Extreme Computing Conference (HPEC)
35. BizBench: A Quantitative Reasoning Benchmark for Business and Finance
    Krumdick, Michael, Koncel-Kedziorski, Rik, Lai, Viet Dac, Reddy, Varshini, Lovering, Charles, Tanner, Chris · 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
36. TextGrad: Automatic "Differentiation" via Text
    Yuksekgonul, Mert, Bianchi, Federico, Boen, Joseph, Liu, Sheng, Huang, Zhi, Guestrin, Carlos, Zou, James · 2024 · arXiv
37. Stochastic Remembering and Distributed Mnemonic Agency: Recalling Twentieth Century Activists with ChatGPT
    Smit, Rik, Smits, Thomas, Merrill, Samuel · 2024 · Memory Studies Review
38. The Larger they are, the Harder they Fail: Language Models do not Recognize Identifier Swaps in Python
    Miceli Barone, Antonio Valerio, Barez, Fazl, Cohen, Shay B., Konstas, Ioannis · 2023 · Findings of the Association for Computational Linguistics: ACL 2023
39. Towards a science exocortex
    Yager, Kevin G. · 2024 · Digital Discovery
40. Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning
    Li, Ruosen, Du, Xinya · 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
41. AgentClinic: a multimodal benchmark for tool-using clinical AI agents
    Schmidgall, Samuel, Ziaei, Rojin, Harris, Carl, Kim, Ji Woong, Reis, Eduardo Pontes, Jopling, Jeffrey, Moor, Michael · 2026 · npj Digital Medicine
42. Are Emergent Abilities in Large Language Models just In-Context Learning?
    Lu, Sheng, Bigoulaeva, Irina, Sachdeva, Rachneet, Madabushi, Harish Tayyar, Gurevych, Iryna · 2023 · arXiv
43. EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue Framework
    Shi, Yao, Liang, Rongkeng, Xu, Yong · 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
44. Evaluating and Mitigating Discrimination in Language Model Decisions
    Tamkin, Alex, Askell, Amanda, Lovitt, Liane, Durmus, Esin, Joseph, Nicholas, Kravec, Shauna, Nguyen, Karina, Kaplan, Jared, Ganguli, Deep · 2023 · arXiv
45. Beamaggr: Beam aggregation reasoning over multi-source knowledge for multi-hop question answering
    Chu, Zheng, Chen, Jingchang, Chen, Qianglong, Wang, Haotian, Zhu, Kun, Du, Xiyuan, Yu, Weijiang, Liu, Ming, Qin, Bing · 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
46. Large Language Models Can Self-Correct with Key Condition Verification
    Wu, Zhenyu, Zeng, Qingkai, Zhang, Zhihan, Tan, Zhaoxuan, Shen, Chao, Jiang, Meng · 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
47. Davinci Goes to Bebras: A Study on the Problem Solving Ability of GPT-3
    Bellettini, Carlo, Lodi, Michael, Lonati, Violetta, Monga, Mattia, Morpurgo, Anna · 2023 · Proceedings of the 15th International Conference on Computer Supported Education
48. ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoning
    Wang, Zhongsheng, Liu, Jiamou, Bao, Qiming, Rong, Hongfei, Zhang, Jingfeng · 2024 · 2024 International Joint Conference on Neural Networks (IJCNN)
49. Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges
    La Malfa, Emanuele, Petrov, Aleksandar, Frieder, Simon, Weinhuber, Christoph, Burnell, Ryan, Nazar, Raza, Cohn, Anthony, Shadbolt, Nigel, Wooldridge, Michael · 2024 · Journal of Artificial Intelligence Research
50. A Survey of Post-Training Scaling in Large Language Models
    Lai, Hanyu, Liu, Xiao, Gao, Junjie, Cheng, Jiale, Qi, Zehan, Xu, Yifan, Yao, Shuntian, Zhang, Dan, Du, Jinhua, Hou, Zhenyu et al. · 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
51. AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
    Debenedetti, Edoardo, Zhang, Jie, Balunović, Mislav, Beurer-Kellner, Luca, Fischer, Marc, Tramèr, Florian · 2024 · arXiv
52. Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure
    Puech, Romain, Macina, Jakub, Chatain, Julia, Sachan, Mrinmaya, Kapur, Manu · 2025 · Findings of the Association for Computational Linguistics: ACL 2025
53. Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering
    Zhou, Chenyu, Chai, Huacan, Chen, Wenteng, Guo, Zihan, Shan, Rong, Song, Yuanyi, Xu, Tianyi, Yang, Yingxuan, Yu, Aofan, Zhang, Weiming et al. · 2026 · arXiv
54. Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning
    Chen, Xinghao, Sun, Zhijing, Wenjin, Guo, Zhang, Miaoran, Chen, Yanjun, Sun, Yirong, Su, Hui, Pan, Yijie, Klakow, Dietrich, Li, Wenjie et al. · 2025 · Findings of the Association for Computational Linguistics: ACL 2025
55. Anthropocentric Bias in Language Model Evaluation
    Millière, Raphaël, Rathkopf, Charles · 2026 · Computational Linguistics
56. Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs
    Smit, Andries, Duckworth, Paul, Grinsztajn, Nathan, Barrett, Thomas D., Pretorius, Arnu · 2023 · arXiv
57. CDE-Mapper: Using retrieval-augmented language models for linking clinical data elements to controlled vocabularies
    Gilani, Komal, Verket, Marlo, Peters, Christof, Dumontier, Michel, Rocca, Hans-Peter Brunner-La, Urovi, Visara · 2025 · Computers in Biology and Medicine
58. NoLiMa: Long-Context Evaluation Beyond Literal Matching
    Modarressi, Ali, Deilamsalehy, Hanieh, Dernoncourt, Franck, Bui, Trung, Rossi, Ryan A., Yoon, Seunghyun, Schütze, Hinrich · 2025 · arXiv
59. Challenging the Evaluator: LLM Sycophancy Under User Rebuttal
    Kim, Sung Won, Khashabi, Daniel · 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
60. On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks
    Stechly, Kaya, Valmeekam, Karthik, Kambhampati, Subbarao · 2024 · arXiv
61. Language Agents as Optimizable Graphs
    Zhuge, Mingchen, Wang, Wenyi, Kirsch, Louis, Faccio, Francesco, Khizbullin, Dmitrii, Schmidhuber, Jürgen · 2024 · arXiv
62. Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
    Chen, Xingyu, Xu, Jiahao, Liang, Tian, He, Zhiwei, Pang, Jianhui, Yu, Dian, Song, Linfeng, Liu, Qiuzhi, Zhou, Mengfei, Zhang, Zhuosheng et al. · 2024 · arXiv
63. CASSIA: a multi-agent large language model for reference free, interpretable, and automated cell annotation of single-cell RNA-sequencing data
    Xie, Elliot, Cheng, Lingxin, Shireman, Jack, Cai, Yujia, Liu, Jihua, Mohanty, Chitrasen, Dey, Mahua, Kendziorski, Christina · 2024
64. Leveraging Large Language Models to Detect npm Malicious Packages
    Zahan, Nusrat, Burckhardt, Philipp, Lysenko, Mikola, Aboukhadijeh, Feross, Williams, Laurie · 2024 · arXiv
65. Context, Reasoning, and Hierarchy: A Cost-Performance Study of Compound LLM Agent Design in an Adversarial POMDP
    Bogdanov, Igor, Lung, Chung-Horng, Kunz, Thomas, Gao, Jie, Taylor, Adrian, Zaman, Marzia · 2026 · Proceedings of the ACM Conference on AI and Agentic Systems
66. R-Judge: Benchmarking Safety Risk Awareness for LLM Agents
    Yuan, Tongxin, He, Zhiwei, Dong, Lingzhong, Wang, Yiming, Zhao, Ruijie, Xia, Tian, Xu, Lizhen, Zhou, Binglin, Li, Fangqi, Zhang, Zhuosheng et al. · 2024 · arXiv
67. Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions
    Atif, Farah, Askarbekuly, Nursultan, Darwish, Kareem, Choudhury, Monojit · 2025 · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society
68. From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents
    Uddin, Md Nayem, Shubham, Kumar, Blanco, Eduardo, Baral, Chitta, Wang, Gengyu · 2026 · Findings of the Association for Computational Linguistics: ACL 2026
69. Thought Space Explorer: Navigating and Expanding Thought Space for Large Language Model Reasoning
    Zhang, Jinghan, Liu, Kunpeng · 2024 · 2024 IEEE International Conference on Big Data (BigData)
70. Self-Training Meets Consistency: Improving LLMs’ Reasoning with Consistency-Driven Rationale Evaluation
    Lee, Jaehyeok, Sakaguchi, Keisuke, Bak, JinYeong · 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
71. Revealing the True Indicators: Understanding and Improving IoC Extraction From Threat Reports
    Froudakis, Evangelos, Avgetidis, Athanasios, Frankum, Sean Tyler, Perdisci, Roberto, Antonakakis, Manos, Keromytis, Angelos D. · 2025 · 2025 IEEE Annual Computer Security Applications Conference (ACSAC)
72. Preclinical Dialogue Simulation: Evaluating Response Accessibility in Conversational Artificial Intelligence for Aphasia Therapy
    Imaezue, Gerald C., Maram, Krishna V., Ajayi, David, Alohali, Isra, Butta, Rajesh K. · 2026 · Journal of Speech, Language, and Hearing Research
73. Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning
    NVIDIA, :, Azzolini, Alisson, Bai, Junjie, Brandon, Hannah, Cao, Jiaxin, Chattopadhyay, Prithvijit, Chen, Huayu, Chu, Jinju, Cui, Yin et al. · 2025 · arXiv
74. An Efficient Context-Dependent Memory Framework for LLM-Centric Agents
    Gao, Pengyu, Zhao, Jinming, Chen, Xinyue, Yilin, Long · 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track)
75. Search Arena: Analyzing Search-Augmented LLMs
    Miroyan, Mihran, Wu, Tsung-Han, King, Logan, Li, Tianle, Pan, Jiayi, Hu, Xinyan, Chiang, Wei-Lin, Angelopoulos, Anastasios N., Darrell, Trevor, Norouzi, Narges et al. · 2025 · arXiv
76. Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
    Krishna, Satyapriya, Krishna, Kalpesh, Mohananey, Anhad, Schwarcz, Steven, Stambler, Adam, Upadhyay, Shyam, Faruqui, Manaal · 2024 · arXiv
77. A Self-Improving Coding Agent
    Robeyns, Maxime, Szummer, Martin, Aitchison, Laurence · 2025 · arXiv
78. A State-Aware Dual-Tool Architecture for Improved Tool Use in Multi-Turn LLM Dialogue
    Pałgan, Bartosz, Wawryszczuk, Marcin, Chwał, Joanna, Tkacz, Ewaryst, Dzik, Radosław · 2026 · Applied Sciences
79. Dissecting Adversarial Robustness of Multimodal LM Agents
    Wu, Chen Henry, Shah, Rishi, Koh, Jing Yu, Salakhutdinov, Ruslan, Fried, Daniel, Raghunathan, Aditi · 2024 · arXiv
80. Evaluating the Integrity of LLM-Generated Citations: Prevalence and Risks of Fabricated References in Scientific Literature
    Picazo-Sanchez, Pablo, Ortiz-Martin, Lara · 2026 · Data
81. HI-TOM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models
    He, Yinghui, Wu, Yufan, Jia, Yilin, Mihalcea, Rada, Chen, Yulong, Deng, Naihao · 2023 · arXiv
82. The economics of accuracy for medical reasoning with large language models
    Bhattacharyya, Kiran, Kamabattula, Sreeram · 2026 · PLOS Digital Health
83. From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents
    Uddin, Md Nayem, Shubham, Kumar, Blanco, Eduardo, Baral, Chitta, Wang, Gengyu · 2026 · arXiv
84. Explainability of decoder-only clinical large language models: A scoping review
    Mishra, Nishant, Abu-Hanna, Ameen, Calixto, Iacer · 2026 · Artificial Intelligence in Medicine
85. iCLP: Large Language Model Reasoning with Implicit Cognition Latent Planning
    Chen, Sijia, Niu, Di · 2025 · arXiv
86. Let’s read the log: root cause analysis of railway test execution logs with large language models
    Hermawan, Rahmanu, Bucaioni, Alessio, Enoiu, Eduard, Afzal, Wasif, Saadatmand, Mehrdad, Zaimovic, Nedim, Ibtasham, Md Saleh · 2026 · Innovations in Systems and Software Engineering
87. CROP: Token-Efficient Reasoning in Large Language Models via Regularized Prompt Optimization
    Shah, Deep, Badhe, Sanket, Kathrotia, Nehal, Tiwari, Priyanka · 2026 · arXiv
88. Testing Frontier Large Language Models' Physics Literacy in Parallel Physical Worlds
    Zhang, Dong · 2026 · arXiv
89. ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification
    Lee, Hyunseok, Oh, Seunghyuk, Kim, Jaehyung, Shin, Jinwoo, Tack, Jihoon · 2025 · arXiv
90. How to Steal Reasoning Without Reasoning Traces
    Zhang, Tingwei, Morris, John X., Shmatikov, Vitaly · 2026 · arXiv
91. Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory
    Suzgun, Mirac, Yuksekgonul, Mert, Bianchi, Federico, Jurafsky, Dan, Zou, James · 2025 · arXiv
92. FlowReasoner: Reinforcing Query-Level Meta-Agents
    Gao, Hongcheng, Liu, Yue, He, Yufei, Dou, Longxu, Du, Chao, Deng, Zhijie, Hooi, Bryan, Lin, Min, Pang, Tianyu · 2025 · arXiv
93. Looped Transformers for Length Generalization
    Fan, Ying, Du, Yilun, Ramchandran, Kannan, Lee, Kangwook · 2024 · arXiv
94. Are Retrials All You Need? Enhancing Large Language Model Reasoning Without Verbalized Feedback
    Potamitis, Nearchos, Arora, Akhil · 2025 · arXiv
95. Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
    Zhou, Han, Wan, Xingchen, Sun, Ruoxi, Palangi, Hamid, Iqbal, Shariq, Vulić, Ivan, Korhonen, Anna, Arık, Sercan Ö. · 2025 · arXiv
96. PeerCheck: Enhancing LLM-Generated Academic Reviews Towards Human-Level Quality
    Chen, Zeyuan, Yang, Ziqing, Ma, Yihan, Backes, Michael, Zhang, Yang · 2026 · Findings of the Association for Computational Linguistics: ACL 2026
97. In ChatGPT We Trust? Measuring and Characterizing the Reliability of ChatGPT
    Shen, Xinyue, Chen, Zeyuan, Backes, Michael, Zhang, Yang · 2023 · arXiv