Student Publications
Renze, Matthew, and Erhan Guven. 2024. The Effect of Sampling Temperature on Problem Solving in Large Language Models. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 7346–7356, Miami, Florida, USA. Association for Computational Linguistics.
Renze, Matthew, and Erhan Guven. “The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Models.” arXiv preprint arXiv:2401.05618 (2024).
Renze, Matthew, and Erhan Guven. “Self-Reflection in LLM Agents: Effects on Problem-Solving Performance.” arXiv preprint arXiv:2405.06682 (2024).
Michael DeLeo and Erhan Guven. Learning Chess and NIM with Transformers. International Journal on Natural Language Computing, 11(5):1–15, October 2022.