Yejin Choi

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Stony Brook University ∙ University of Washington ∙ Allen Institute for Artificial Intelligence

Associate Professor in the Department of Computer Science & Engineering at the University of Washington since 2017, Senior Research Manager at Allen Institute for Artificial Intelligence (AI2) since 2018, Assistant Professor in the Department of Computer Science & Engineering at the University of Washington 2014-2017.

Featured Co-authors

Lei Zhang
225 publications
Jianfeng Gao
148 publications
Percy Liang
104 publications
Dieter Fox
88 publications
Dong Yu
87 publications
Noah A. Smith
85 publications
Luke Zettlemoyer
75 publications
Xiaodong He
71 publications
Ali Farhadi
70 publications
Zhe Gan
68 publications
Furu Wei
65 publications

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

Despite major advances in open-ended text generation, there has been lim...
02/02/2021 ∙ by Krishna Pillutla, et al. ∙ 0 ∙ share

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MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations

We study conversational dialog in which there are many possible response...
02/02/2021 ∙ by Yao Dou, et al. ∙ 0 ∙ share

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Challenges in Automated Debiasing for Toxic Language Detection

Biased associations have been a challenge in the development of classifi...
01/29/2021 ∙ by Xuhui Zhou, et al. ∙ 0 ∙ share

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GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation

Leaderboards have eased model development for many NLP datasets by stand...
01/17/2021 ∙ by Daniel Khashabi, et al. ∙ 7 ∙ share

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VinVL: Making Visual Representations Matter in Vision-Language Models

This paper presents a detailed study of improving visual representations...
01/02/2021 ∙ by Pengchuan Zhang, et al. ∙ 10 ∙ share

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On-the-Fly Attention Modularization for Neural Generation

Despite considerable advancements with deep neural language models (LMs)...
01/02/2021 ∙ by Yue Dong, et al. ∙ 0 ∙ share

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Understanding Few-Shot Commonsense Knowledge Models

Providing natural language processing systems with commonsense knowledge...
01/01/2021 ∙ by Jeff Da, et al. ∙ 0 ∙ share

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Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences

In social settings, much of human behavior is governed by unspoken rules...
12/31/2020 ∙ by Denis Emelin, et al. ∙ 17 ∙ share

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Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision

The black-box nature of neural models has motivated a line of research t...
12/14/2020 ∙ by Faeze Brahman, et al. ∙ 0 ∙ share

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Edited Media Understanding: Reasoning About Implications of Manipulated Images

Multimodal disinformation, from `deepfakes' to simple edits that deceive...
12/08/2020 ∙ by Jeff Da, et al. ∙ 0 ∙ share

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Social Chemistry 101: Learning to Reason about Social and Moral Norms

Social norms—the unspoken commonsense rules about acceptable social beha...
11/01/2020 ∙ by Maxwell Forbes, et al. ∙ 0 ∙ share

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PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction

Unconscious biases continue to be prevalent in modern text and media, ca...
10/26/2020 ∙ by Xinyao Ma, et al. ∙ 0 ∙ share

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NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints

Conditional text generation often requires lexical constraints, i.e., wh...
10/24/2020 ∙ by Ximing Lu, et al. ∙ 0 ∙ share

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Go Figure! A Meta Evaluation of Factuality in Summarization

Text generation models can generate factually inconsistent text containi...
10/24/2020 ∙ by Saadia Gabriel, et al. ∙ 0 ∙ share

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Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning

Pretrained Language Models (LMs) generate text with remarkable quality, ...
10/16/2020 ∙ by Peter West, et al. ∙ 0 ∙ share

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Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs

Natural language rationales could provide intuitive, higher-level explan...
10/15/2020 ∙ by Ana Marasović, et al. ∙ 10 ∙ share

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COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs

Recent years have brought about a renewed interest in commonsense repres...
10/12/2020 ∙ by Jena D. Hwang, et al. ∙ 0 ∙ share

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Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning

Abductive and counterfactual reasoning, core abilities of everyday human...
10/12/2020 ∙ by Lianhui Qin, et al. ∙ 0 ∙ share

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Paragraph-Level Commonsense Transformers with Recurrent Memory

Human understanding of narrative texts requires making commonsense infer...
10/04/2020 ∙ by Saadia Gabriel, et al. ∙ 0 ∙ share

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RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

Pretrained neural language models (LMs) are prone to generating racist, ...
09/24/2020 ∙ by Samuel Gehman, et al. ∙ 0 ∙ share

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Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes

As AI systems become an increasing part of people's everyday lives, it b...
08/20/2020 ∙ by Nicholas Lourie, et al. ∙ 0 ∙ share

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PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking

We propose the task of outline-conditioned story generation: given an ou...
04/30/2020 ∙ by Hannah Rashkin, et al. ∙ 0 ∙ share

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G-DAUG: Generative Data Augmentation for Commonsense Reasoning

Recent advances in commonsense reasoning depend on large-scale human-ann...
04/24/2020 ∙ by Yiben Yang, et al. ∙ 0 ∙ share

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Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image

Even from a single frame of a still image, people can reason about the d...
04/22/2020 ∙ by Jae Sung Park, et al. ∙ 14 ∙ share

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Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

Large-scale pre-training methods of learning cross-modal representations...
04/13/2020 ∙ by Xiujun Li, et al. ∙ 7 ∙ share

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Unsupervised Commonsense Question Answering with Self-Talk

Natural language understanding involves reading between the lines with i...
04/11/2020 ∙ by Vered Shwartz, et al. ∙ 0 ∙ share

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Evaluating Machines by their Real-World Language Use

There is a fundamental gap between how humans understand and use languag...
04/07/2020 ∙ by Rowan Zellers, et al. ∙ 0 ∙ share

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Procedural Reading Comprehension with Attribute-Aware Context Flow

Procedural texts often describe processes (e.g., photosynthesis and cook...
03/31/2020 ∙ by Aida Amini, et al. ∙ 0 ∙ share

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Multi-View Learning for Vision-and-Language Navigation

Learning to navigate in a visual environment following natural language ...
03/02/2020 ∙ by Qiaolin Xia, et al. ∙ 7 ∙ share

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Adversarial Filters of Dataset Biases

Large neural models have demonstrated human-level performance on languag...
02/10/2020 ∙ by Ronan Le Bras, et al. ∙ 14 ∙ share

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PIQA: Reasoning about Physical Commonsense in Natural Language

To apply eyeshadow without a brush, should I use a cotton swab or a toot...
11/26/2019 ∙ by Yonatan Bisk, et al. ∙ 51 ∙ share

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Social Bias Frames: Reasoning about Social and Power Implications of Language

Language has the power to reinforce stereotypes and project social biase...
11/10/2019 ∙ by Maarten Sap, et al. ∙ 0 ∙ share

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Dynamic Knowledge Graph Construction for Zero-shot Commonsense Question Answering

Understanding narratives requires dynamically reasoning about the implic...
11/10/2019 ∙ by Antoine Bosselut, et al. ∙ 0 ∙ share

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Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion

Automatic KB completion for commonsense knowledge graphs (e.g., ATOMIC a...
10/07/2019 ∙ by Chaitanya Malaviya, et al. ∙ 11 ∙ share

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BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle

The principle of the Information Bottleneck (Tishby et al. 1999) is to p...
09/16/2019 ∙ by Peter West, et al. ∙ 0 ∙ share

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Counterfactual Story Reasoning and Generation

Counterfactual reasoning requires predicting how alternative events, con...
09/09/2019 ∙ by Lianhui Qin, et al. ∙ 0 ∙ share

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Robust Navigation with Language Pretraining and Stochastic Sampling

Core to the vision-and-language navigation (VLN) challenge is building r...
09/05/2019 ∙ by Xiujun Li, et al. ∙ 5 ∙ share

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Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning

Understanding narratives requires reading between the lines, which in tu...
08/31/2019 ∙ by Lifu Huang, et al. ∙ 15 ∙ share

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Abductive Commonsense Reasoning

Abductive reasoning is inference to the most plausible explanation. For ...
08/15/2019 ∙ by Chandra Bhagavatula, et al. ∙ 0 ∙ share

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Do Neural Language Representations Learn Physical Commonsense?

Humans understand language based on the rich background knowledge about ...
08/08/2019 ∙ by Maxwell Forbes, et al. ∙ 0 ∙ share

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WINOGRANDE: An Adversarial Winograd Schema Challenge at Scale

The Winograd Schema Challenge (WSC), proposed by Levesque et al. (2011) ...
07/24/2019 ∙ by Keisuke Sakaguchi, et al. ∙ 0 ∙ share

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Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow

We introduce Cooperative Generator-Discriminator Networks (Co-opNet), a ...
07/02/2019 ∙ by Saadia Gabriel, et al. ∙ 0 ∙ share

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COMET: Commonsense Transformers for Automatic Knowledge Graph Construction

We present the first comprehensive study on automatic knowledge base con...
06/12/2019 ∙ by Antoine Bosselut, et al. ∙ 25 ∙ share

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Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading

Although neural conversation models are effective in learning how to pro...
06/06/2019 ∙ by Lianhui Qin, et al. ∙ 5 ∙ share

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Efficient Adaptation of Pretrained Transformers for Abstractive Summarization

Large-scale learning of transformer language models has yielded improvem...
06/01/2019 ∙ by Andrew Hoang, et al. ∙ 0 ∙ share

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MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

We introduce a large-scale dataset of math word problems and an interpre...
05/30/2019 ∙ by Aida Amini, et al. ∙ 0 ∙ share

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Defending Against Neural Fake News

Recent progress in natural language generation has raised dual-use conce...
05/29/2019 ∙ by Rowan Zellers, et al. ∙ 0 ∙ share

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HellaSwag: Can a Machine Really Finish Your Sentence?

Recent work by Zellers et al. (2018) introduced a new task of commonsens...
05/19/2019 ∙ by Rowan Zellers, et al. ∙ 0 ∙ share

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The Curious Case of Neural Text Degeneration

Despite considerable advancements with deep neural language models, the ...
04/22/2019 ∙ by Ari Holtzman, et al. ∙ 0 ∙ share

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SocialIQA: Commonsense Reasoning about Social Interactions

We introduce SocialIQa, the first large-scale benchmark for commonsense ...
04/22/2019 ∙ by Maarten Sap, et al. ∙ 0 ∙ share

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