IR-1347: (2025) Joshi, B., Venkatapathy, S., Bansal, M., Peng, N. and Chang, H., "🥤CoKe: Customizable Fine-Grained Story Evaluation via Chain-of-Keyword Rationalization," in Proceedings of the Fourth Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2025), as part of ACL 2025, Vienna, Austria. July 27-Aug. 1, 2025 [View Abstract] [View bibtex]
IR-1342: (2025) Chang, H., Peng, N., Bansal, M., Ramakrishna, A. and Chung, T., "REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation by Extrapolating the Entropy of an Infinitely Large LM," In Transactions of the Association for Computational Linguistics, July 18, 2025, Vol. 13, pp. 760-783. [View Abstract] [View bibtex]
IR-1334: (2024) Chang, H., Peng, N., Bansal, M., Ramakrishna, A. and Chung, T., "Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM," in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, FL, USA, Nov. 12-16, 2024, pp. 8503-8526. [View Abstract] [View bibtex]