🧑‍🔬 Who cites Ryan-Rhys Griffiths

150 citations of their works from 149 papers of our library (of the 149,439 whose bibliographies we read) · 59 with a page here, the most cited first · ← Ryan-Rhys Griffiths

1. A Survey on Evaluation of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,648 citations
2. Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language ModelsarXiv:2304.01852 · Meta-Radiology (2023)100,017Yiheng Liu, Tianle Han, Siyuan Ma, et al.2023 · 940 citations
3. A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPTarXiv:2302.11382Jules White, Quchen Fu, Sam Hays, et al.2023 · 904 citations
4. A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and InteractivityarXiv:2302.04023Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.2023 · 882 citations
5. A Categorical Archive of ChatGPT FailuresarXiv:2302.03494Ali Borji2023 · 559 citations
6. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsarXiv:2310.02255Pan Lu, Hritik Bansal, Tony Xia, et al.2023 · 468 citations
7. OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific ProblemsAnnual Meeting of the Association for Computational Linguistics (ACL)Chaoqun He, Renjie Luo, Yuzhuo Bai, et al.2024 · 456 citations
8. AugGPT: Leveraging ChatGPT for Text Data AugmentationIEEE Transactions on Big DataHaixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu; Lin Zhao; Shaochen Xu; Wei Liu; Ninghao Liu; Sheng Li; Dajiang Zhu; Hongmin Cai; Lichao Sun; Quanzheng Li; Dinggang Shen; Tianming Liu;, Xiang Li2023 · 306 citations
9. Large Language Models for Mathematical Reasoning: Progresses and ChallengesConference of the European Chapter of the Association for Computational Linguistics (EACL)Janice Ahn, Rishu Verma, Renze Lou, et al.2024 · 280 citations
10. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
11. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentarXiv:2308.05374Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 223 citations
12. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsFindings of the Association for Computational LinguisticsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 200 citations
13. A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and ValidationArtificial Intelligence ReviewXiaowei Huang, Wenjie Ruan, Wei Huang, et al.2023 · 199 citations
14. 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
15. SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language ModelsarXiv:2307.10635Xiaoxuan Wang, Ziniu Hu, Pan Lu, et al.2023 · 149 citations
16. Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and FaithfulnessarXiv:2304.11633Bo Li, Gexiang Fang, Yang Yang, et al.2023 · 142 citations
17. MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning ProblemsFindings of the Association for Computational LinguisticsJakub Macina, Nico Daheim, Sankalan Chowdhury, et al.2023 · 131 citations
18. Progressive-Hint Prompting Improves Reasoning in Large Language ModelsarXiv:2304.09797Chuanyang Zheng, Zhengying Liu, Enze Xie, et al.2023 · 131 citations
19. A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capabilityarXiv:2303.13547Aiwei Liu, Xuming Hu, Lijie Wen, et al.2023 · 127 citations
20. ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction BenchmarkarXiv:2303.13648Haoran Wu, Wenxuan Wang, Yuxuan Wan, et al.2023 · 118 citations
21. Can we trust the evaluation on ChatGPT?Workshop on Trustworthy NLPRachith Aiyappa, Jisun An, Haewoon Kwak, et al.2023 · 103 citations
22. MathArena: Evaluating LLMs on Uncontaminated Math CompetitionsConference on Neural Information Processing Systems (NeurIPS)Mislav Balunović, Jasper Dekoninck, Ivo Petrov, et al.2025 · 99 citations
23. FELM: Benchmarking Factuality Evaluation of Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Shiqi Chen, Yiran Zhao, Jinghan Zhang, et al.2023 · 99 citations
24. FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AIarXiv:2411.04872Elliot Glazer, Ege Erdil, Tamay Besiroglu, et al.2024 · 97 citations
25. How well do Large Language Models perform in Arithmetic tasks?arXiv:2304.02015Zheng Yuan, Hongyi Yuan, Chuanqi Tan, et al.2023 · 93 citations
26. Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse RelationsFindings of the Association for Computational LinguisticsChunkit Chan, Cheng Jiayang, Weiqi Wang, et al.2024 · 92 citations
27. GPTEval: A Survey on Assessments of ChatGPT and GPT-4Language Resources and Evaluation Conference (LREC)Rui Mao, Guanyi Chen, Xulang Zhang, et al.2024 · 75 citations
28. Self-Contrast: Better Reflection Through Inconsistent Solving PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Yongliang Shen, Linjuan Wu, et al.2024 · 75 citations
29. INCLUDE: Evaluating Multilingual Language Understanding with Regional KnowledgearXiv:2411.19799Angelika Romanou, Negar Foroutan, Anna Sotnikova, et al.2024 · 74 citations
30. Evaluation of OpenAI o1: Opportunities and Challenges of AGIarXiv:2409.18486Tianyang Zhong, Zhengliang Liu, Yi Pan, et al.2024 · 64 citations
31. Formal Mathematical Reasoning: A New Frontier in AIarXiv:2412.16075Kaiyu Yang, Gabriel Poesia, Jingxuan He, et al.2024 · 49 citations
32. Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language ModelsarXiv:2406.02061Marianna Nezhurina, Lucia Cipolina-Kun, Mehdi Cherti, et al.2024 · 48 citations
33. NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity ClassesAnnual Meeting of the Association for Computational Linguistics (ACL)Lizhou Fan, Wenyue Hua, Lingyao Li, et al.2024 · 47 citations
34. A Survey on Deep Learning for Theorem ProvingarXiv:2404.09939Zhaoyu Li, Jialiang Sun, Logan Murphy, et al.2024 · 46 citations
35. MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math DataScientific DataMeng Fang, Xiangpeng Wan, Fei Lu, et al.2024 · 46 citations
36. Towards AI-Assisted Synthesis of Verified Dafny MethodsarXiv:2402.00247Md Rakib Hossain Misu, Cristina V. Lopes, Iris Ma, et al.2024 · 46 citations
37. When does In-context Learning Fall Short and Why? A Study on Specification-Heavy TasksarXiv:2311.08993Hao Peng, Xiaozhi Wang, Jianhui Chen, et al.2023 · 42 citations
38. DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language ModelsarXiv:2411.00836Chengke Zou, Xingang Guo, Rui Yang, et al.2024 · 41 citations
39. Evaluating Language Models for Mathematics through InteractionsarXiv:2306.01694Katherine M. Collins, Albert Q. Jiang, Simon Frieder, et al.2023 · 40 citations
40. Let's reward step by step: Step-Level reward model as the Navigators for ReasoningarXiv:2310.10080Qianli Ma, Haotian Zhou, Tingkai Liu, et al.2023 · 40 citations
41. PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xuekai Zhu, Biqing Qi, Kaiyan Zhang, et al.2024 · 35 citations
42. Proof or Bluff? Evaluating LLMs on 2025 USA Math OlympiadarXiv:2503.21934Ivo Petrov, Jasper Dekoninck, Lyuben Baltadzhiev, et al.2025 · 31 citations
43. Language Models as Science TutorsarXiv:2402.11111Alexis Chevalier, Jiayi Geng, Alexander Wettig, et al.2024 · 30 citations
44. Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT ModelsarXiv:2306.16322Zaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi, et al.2023 · 25 citations
45. Robin: A multi-agent system for automating scientific discoveryarXiv:2505.13400Ali Essam Ghareeb; Benjamin Chang; Ludovico Mitchener; Angela Yiu; Caralyn J. Szostkiewicz; Jon M. Laurent; Muhammed T. Razzak; Andrew D. White; Michaela M. Hinks;, Samuel G. Rodriques2025 · 22 citations
46. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
47. xVal: A Continuous Numerical Tokenization for Scientific Language ModelsarXiv:2310.02989Siavash Golkar, Mariel Pettee, Michael Eickenberg, et al.2023 · 19 citations
48. Aviary: training language agents on challenging scientific tasksarXiv:2412.21154Siddharth Narayanan, James D. Braza, Ryan-Rhys Griffiths, et al.2024 · 18 citations
49. EXP-Bench: Can AI Conduct AI Research Experiments?arXiv:2505.24785Patrick Tser Jern Kon, Jiachen Liu, Xinyi Zhu, et al.2025 · 17 citations
50. STaR-SQL: Self-Taught Reasoner for Text-to-SQLAnnual Meeting of the Association for Computational Linguistics (ACL)Mingqian He, Yongliang Shen, Wenqi Zhang, et al.2025 · 17 citations
51. Training a Scientific Reasoning Model for ChemistryarXiv:2506.17238Siddharth M. Narayanan, James D. Braza, Ryan-Rhys Griffiths, et al.2025 · 15 citations
52. A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with TransformersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jordan Meadows, Marco Valentino, Damien Teney, et al.2024 · 14 citations
53. CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal ModelsACM International Conference on Multimedia (ACM MM)Wentao Liu, Qianjun Pan, Yi Zhang, et al.2024 · 13 citations
54. No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy FunctionarXiv:2309.03224Haotian Xu2023 · 12 citations
55. The Open Proof Corpus: A Large-Scale Study of LLM-Generated Mathematical ProofsarXiv:2506.21621Jasper Dekoninck, Ivo Petrov, Kristian Minchev, et al.2025 · 11 citations
56. Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad MathematicsarXiv:2504.01995Hamed Mahdavi, Alireza Hashemi, Majid Daliri, et al.2025 · 8 citations
57. Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical RangesarXiv:2502.08680Safal Shrestha, Minwu Kim, Keith Ross2025 · 6 citations
58. A Survey on LLM-based Conversational User SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bo Ni, Yu Wang, Leyao Wang, et al.2026 · 1 citation
59. ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language UnderstandingFindings of the Association for Computational LinguisticsXuanle Zhao, Xinyuan Cai, Xiang Cheng, et al.2026

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