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Invited Talk: Yejin Choi
Yejin Choi
Author Information
Yejin Choi (University of Washington)
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2021 : CommonsenseQA 2.0: Exposing the Limits of AI through Gamification »
Alon Talmor · Ori Yoran · Ronan Le Bras · Chandra Bhagavatula · Yoav Goldberg · Yejin Choi · Jonathan Berant -
2021 : NaturalProofs: Mathematical Theorem Proving in Natural Language »
Sean Welleck · Jiacheng Liu · Ronan Le Bras · Hanna Hajishirzi · Yejin Choi · Kyunghyun Cho -
2021 : Towards Grounded Natural Language Proof Generation »
Sean Welleck · Jiacheng Liu · Yejin Choi -
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 -
2022 Poster: COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics »
Lianhui Qin · Sean Welleck · Daniel Khashabi · Yejin Choi -
2022 Poster: QUARK: Controllable Text Generation with Reinforced Unlearning »
Ximing Lu · Sean Welleck · Jack Hessel · Liwei Jiang · Lianhui Qin · Peter West · Prithviraj Ammanabrolu · Yejin Choi -
2022 Poster: NaturalProver: Grounded Mathematical Proof Generation with Language Models »
Sean Welleck · Jiacheng Liu · Ximing Lu · Hannaneh Hajishirzi · Yejin Choi -
2021 : Panel Discussion »
Pascal Poupart · Ali Ghodsi · Luke Zettlemoyer · Sameer Singh · Kevin Duh · Yejin Choi · Lu Hou -
2021 : Battling with Larger Models through Grounding and Searching »
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2021 Oral: MERLOT: Multimodal Neural Script Knowledge Models »
Rowan Zellers · Ximing Lu · Jack Hessel · Youngjae Yu · Jae Sung Park · Jize Cao · Ali Farhadi · Yejin Choi -
2021 : NaturalProofs: Mathematical Theorem Proving in Natural Language »
Sean Welleck · Jiacheng Liu · Ronan Le Bras · Hanna Hajishirzi · Yejin Choi · Kyunghyun Cho -
2021 Poster: Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals »
Lang Liu · Krishna Pillutla · Sean Welleck · Sewoong Oh · Yejin Choi · Zaid Harchaoui -
2021 Poster: MERLOT: Multimodal Neural Script Knowledge Models »
Rowan Zellers · Ximing Lu · Jack Hessel · Youngjae Yu · Jae Sung Park · Jize Cao · Ali Farhadi · Yejin Choi -
2021 Poster: 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 -
2021 : CommonsenseQA 2.0: Exposing the Limits of AI through Gamification »
Alon Talmor · Ori Yoran · Ronan Le Bras · Chandra Bhagavatula · Yoav Goldberg · Yejin Choi · Jonathan Berant -
2021 Oral: 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 -
2020 : Panel Discussion & Closing »
Yejin Choi · Alexei Efros · Chelsea Finn · Kristen Grauman · Quoc V Le · Yann LeCun · Ruslan Salakhutdinov · Eric Xing -
2020 : QA: Yejin Choi »
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2020 : Adversarial, Socially Aware, and Commonsensical Data »
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2019 : Invited Talk (Yejin Choi) »
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2019 : Yejin Choi »
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2019 Poster: Defending Against Neural Fake News »
Rowan Zellers · Ari Holtzman · Hannah Rashkin · Yonatan Bisk · Ali Farhadi · Franziska Roesner · Yejin Choi