Swayamdipta, Swabha

8 publications

NeurIPS 2025 Better Language Model Inversion by Compactly Representing Next-Token Distributions Murtaza Nazir, Matthew Finlayson, John Xavier Morris, Xiang Ren, Swabha Swayamdipta

ICLR 2024 Closing the Curious Case of Neural Text Degeneration Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal

JMLR 2023 MAUVE Scores for Generative Models: Theory and Practice Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaid Harchaoui

NeurIPSW 2022 Information-Theoretic Evaluation of Free-Text Rationales with Conditional $\mathcal{V}$-Information Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta

ICML 2022 Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta

NeurIPS 2021 MAUVE: Measuring the Gap Between Neural Text and Human Text Using Divergence Frontiers Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, Zaid Harchaoui

ICML 2020 Adversarial Filters of Dataset Biases Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew Peters, Ashish Sabharwal, Yejin Choi

ICLR 2018 Multi-Mention Learning for Reading Comprehension with Neural Cascades Swabha Swayamdipta, Ankur P. Parikh, Tom Kwiatkowski