🔗 Who cites «The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism»

38 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism»

1. Large Language Monkeys: Scaling Inference Compute with Repeated SamplingarXiv:2407.21787Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 270 citations
2. Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal SamplingarXiv:2408.16737Hritik Bansal, Arian Hosseini, Rishabh Agarwal, et al.2024 · 27 citations
3. When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Ammar Khairi, Daniel D'souza, Ye Shen, et al.2025 · 6 citations
4. ToolDreamer: Instilling LLM Reasoning Into Tool RetrieversConference of the European Chapter of the Association for Computational Linguistics (EACL)Saptarshi Sengupta, Zhengyu Zhou, Jun Araki, et al.2026 · 1 citation
5. Learning to Refine: Self-Refinement of Parallel Reasoning in LLMsFindings of the Association for Computational LinguisticsQibin Wang, Pu Zhao, Shaohan Huang, et al.2026
6. On Temperature-Constrained Non-Deterministic Machine Translation: Potential and EvaluationFindings of the Association for Computational LinguisticsWeichuan Wang, Mingyang Liu, Chen Ma, et al.2026
7. Program Structure-aware Language Models: Targeted Software Testing beyond Textual SemanticsFindings of the Association for Computational LinguisticsKhang Tran, Khoa Nguyen, Cristian Borcea, et al.2026

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

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