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
201 publications
Jianfeng Gao
133 publications
Percy Liang
97 publications
Noah A. Smith
80 publications
Dong Yu
75 publications
Dieter Fox
74 publications
Xiaodong He
69 publications
Luke Zettlemoyer
69 publications
Ali Farhadi
68 publications
Zhe Gan
64 publications
Furu Wei
60 publications

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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Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation

We present FAST NAVIGATOR, a general framework for action decoding, whic...
03/06/2019 ∙ by Liyiming Ke, et al. ∙ 6 ∙ share

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DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension

We present DREAM, the first dialogue-based multiple-choice reading compr...
02/01/2019 ∙ by Kai Sun, et al. ∙ 0 ∙ share

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From Recognition to Cognition: Visual Commonsense Reasoning

Visual understanding goes well beyond object recognition. With one glanc...
11/27/2018 ∙ by Rowan Zellers, et al. ∙ 30 ∙ share

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Early Fusion for Goal Directed Robotic Vision

Increasingly, perceptual systems are being codified as strict pipelines ...
11/21/2018 ∙ by Aaron Walsman, et al. ∙ 10 ∙ share

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ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning

We present ATOMIC, an atlas of everyday commonsense reasoning, organized...
10/31/2018 ∙ by Maarten Sap, et al. ∙ 0 ∙ share

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Neural Metaphor Detection in Context

We present end-to-end neural models for detecting metaphorical word use ...
08/29/2018 ∙ by Ge Gao, et al. ∙ 0 ∙ share

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QuAC : Question Answering in Context

We present QuAC, a dataset for Question Answering in Context that contai...
08/21/2018 ∙ by Eunsol Choi, et al. ∙ 2 ∙ share

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SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference

Given a partial description like "she opened the hood of the car," human...
08/16/2018 ∙ by Rowan Zellers, et al. ∙ 0 ∙ share

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Ultra-Fine Entity Typing

We introduce a new entity typing task: given a sentence with an entity m...
07/13/2018 ∙ by Eunsol Choi, et al. ∙ 2 ∙ share

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Balancing Shared Autonomy with Human-Robot Communication

Robotic agents that share autonomy with a human should leverage human do...
05/20/2018 ∙ by Rosario Scalise, et al. ∙ 0 ∙ share

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Event2Mind: Commonsense Inference on Events, Intents, and Reactions

We investigate a new commonsense inference task: given an event describe...
05/17/2018 ∙ by Hannah Rashkin, et al. ∙ 0 ∙ share

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Modeling Naive Psychology of Characters in Simple Commonsense Stories

Understanding a narrative requires reading between the lines and reasoni...
05/16/2018 ∙ by Hannah Rashkin, et al. ∙ 0 ∙ share

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Learning to Write with Cooperative Discriminators

Recurrent Neural Networks (RNNs) are powerful autoregressive sequence mo...
05/16/2018 ∙ by Ari Holtzman, et al. ∙ 0 ∙ share

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Discourse-Aware Neural Rewards for Coherent Text Generation

In this paper, we investigate the use of discourse-aware rewards with re...
05/10/2018 ∙ by Antoine Bosselut, et al. ∙ 0 ∙ share

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