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MAUVE Scores for Generative Models: Theory and Practice


Dec 30, 2022
Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaid Harchaoui

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Evaluating Human-Language Model Interaction


Dec 20, 2022
Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael Bernstein, Percy Liang

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Melody transcription via generative pre-training


Dec 04, 2022
Chris Donahue, John Thickstun, Percy Liang

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* Published as a conference paper at ISMIR 2022 

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Diffusion-LM Improves Controllable Text Generation


May 27, 2022
Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto

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Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics


May 17, 2021
Vivek Jayaram, John Thickstun

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* 16 pages, 8 figures, to appear in ICML 2021 

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MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation


Feb 02, 2021
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaid Harchaoui

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Faster Policy Learning with Continuous-Time Gradients


Dec 12, 2020
Samuel Ainsworth, Kendall Lowrey, John Thickstun, Zaid Harchaoui, Siddhartha Srinivasa

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An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction


May 01, 2020
Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer

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Source Separation with Deep Generative Priors


Feb 19, 2020
Vivek Jayaram, John Thickstun

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* 18 pages, 15 figures 

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Convolutional Composer Classification


Nov 26, 2019
Harsh Verma, John Thickstun

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* 8 pages, published at ISMIR 2019 

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