🔗 Who cites «ARB: Advanced Reasoning Benchmark for Large Language Models»

52 papers of our library cite it (of the 149,439 whose bibliographies we read) · 24 with a page here, the most cited first · ← back to «ARB: Advanced Reasoning Benchmark for Large Language Models»

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. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
3. 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
4. LawBench: Benchmarking Legal Knowledge of Large Language ModelsarXiv:2309.16289Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 186 citations
5. Detecting Language Model Attacks with PerplexityarXiv:2308.14132Gabriel Alon, Michael Kamfonas2023 · 141 citations
6. Platypus: Quick, Cheap, and Powerful Refinement of LLMsarXiv:2308.07317Ariel N. Lee, Cole J. Hunter, Nataniel Ruiz2023 · 117 citations
7. GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem SolversAnnual Meeting of the Association for Computational Linguistics (ACL)Qintong Li, Leyang Cui, Xueliang Zhao, et al.2024 · 108 citations
8. Nemotron-4 340B Technical ReportarXiv:2406.11704Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 107 citations
9. FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AIarXiv:2411.04872Elliot Glazer, Ege Erdil, Tamay Besiroglu, et al.2024 · 97 citations
10. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
11. PaperBench: Evaluating AI's Ability to Replicate AI ResearcharXiv:2504.01848Giulio Starace, Oliver Jaffe, Dane Sherburn, et al.2025 · 86 citations
12. Evaluating Mathematical Reasoning Beyond AccuracyProceedings of the AAAI Conference on Artificial IntelligenceShijie Xia, Xuefeng Li, Yixin Liu, et al.2024 · 85 citations
13. HelpSteer2: Open-source dataset for training top-performing reward modelsarXiv:2406.08673Zhilin Wang, Yi Dong, Olivier Delalleau, et al.2024 · 82 citations
14. KMMLU: Measuring Massive Multitask Language Understanding in KoreanConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Guijin Son, Hanwool Lee, Sungdong Kim, et al.2025 · 76 citations
15. Teaching Large Language Models to Reason with Reinforcement LearningarXiv:2403.04642Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, et al.2024 · 61 citations
16. CMB: A Comprehensive Medical Benchmark in ChinesearXiv:2308.08833Xidong Wang, Guiming Hardy Chen, Dingjie Song, et al.2023 · 54 citations
17. GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local RefinementsarXiv:2402.10963Alex Havrilla, Sharath Raparthy, Christoforus Nalmpantis, et al.2024 · 45 citations
18. GameBench: Evaluating Strategic Reasoning Abilities of LLM AgentsarXiv:2406.06613Anthony Costarelli, Mat Allen, Roman Hauksson, et al.2024 · 20 citations
19. Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Joykirat Singh, Akshay Nambi, Vibhav Vineet2025 · 8 citations
20. Cutting Through the Noise: Boosting LLM Performance on Math Word ProblemsUjjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, et al.2024 · 7 citations
21. The Validation Gap: A Mechanistic Analysis of How Language Models Compute Arithmetic but Fail to Validate ItConference on Empirical Methods in Natural Language Processing (EMNLP)Leonardo Bertolazzi, Philipp Mondorf, Barbara Plank, et al.2025 · 6 citations
22. From Benchmarks to Skills: Low-Rank Factors for LLM EvaluationTransactions of the Association for Computational Linguistics (TACL)Aviya Maimon, Amir David Nisan Cohen, Gal Vishne, et al.2026
23. PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language ModelsFindings of the Association for Computational LinguisticsZetian Ouyang, Linlin Wang, Gerard de Melo, et al.2026
24. R ESEARCH QA: Evaluating Scholarly Question Answering at Scale Across 75 Fields with Survey-Mined Questions and RubricsTransactions of the Association for Computational Linguistics (TACL)Li S. Yifei, Allen Chang, Chaitanya Malaviya, et al.2026

28 more papers of our library cite it; they have no page here yet.

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