🧑‍🔬 Who cites Vyas Raina

67 citations of their works from 67 papers of our library (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · ← Vyas Raina

1. s1: Simple test-time scalingConference on Empirical Methods in Natural Language Processing (EMNLP)Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 608 citations
2. Large Language Monkeys: Scaling Inference Compute with Repeated SamplingarXiv:2407.21787Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 270 citations
3. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
4. Humans or LLMs as the Judge? A Study on Judgement BiasConference on Empirical Methods in Natural Language Processing (EMNLP)Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.2024 · 133 citations
5. Humans or LLMs as the Judge? A Study on Judgement BiasesarXiv:2402.10669Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.2024 · 78 citations
6. Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-JudgeInternational Joint Conference on Natural Language Processing (IJCNLP)Lin Shi, Chiyu Ma, Wenhua Liang, et al.2025 · 71 citations
7. CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-JudgesAnnual Meeting of the Association for Computational Linguistics (ACL)Haitao Li, Junjie Chen, Qingyao Ai, et al.2025 · 15 citations
8. Understanding Figurative Meaning through Explainable Visual EntailmentConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Arkadiy Saakyan, Shreyas Kulkarni, Tuhin Chakrabarty, et al.2025 · 15 citations
9. 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
10. From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning TasksarXiv:2409.04168Andreas Stephan, Dawei Zhu, Matthias Aßenmacher, et al.2024 · 13 citations
11. UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Fang, Ruiyan Han, XinYu Sun, et al.2026 · 11 citations
12. Can LLMs Really Judge? A Progressive Argumentation-Mining Framework for Distinguishing Understanding from AggregationFindings of the Association for Computational LinguisticsFuyu Wang, Jiangtong Li, Kun Zhu, et al.2026
13. Learning to Refine: Self-Refinement of Parallel Reasoning in LLMsFindings of the Association for Computational LinguisticsQibin Wang, Pu Zhao, Shaohan Huang, et al.2026
14. Reasoning Hijacking: The Fragility of Reasoning Alignment in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuansen Liu, Yixuan Tang, Anthony Kum Hoe Tung2026
15. Self-Consistency from Only Two Samples: CoT–PoT Ensembling for Efficient LLM ReasoningFindings of the Association for Computational LinguisticsRaman Saparkhan, Majd Hawasly, Md Rizwan Parvez, et al.2026

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