← Authors

Yejin Choi

278 papers · 2005–2026 · 16 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (26) 🐝 Cross-Pollinator (5) 🏃 Academic Marathon (20) 🌍 Conference Polyglot (16) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (8) 🏠 Conference Loyalist (21) 🧬 Topic Evolution 🤝 Dynamic Duo (46) 🏆 Grand Slam 👑 Triple Crown 👥 Mega-Team (30) 🌱 Topic Pioneer 🔬 Deep Specialist (33) 🏆 Keyword Champion (27) 🗃️ Keyword Collector (66) 🚀 Conference Pioneer 💎 Century Club (277) 🔥 Unstoppable (21) 📈 Trend Setter ⚡ Prolific Year (32) ❓ The Questioner (16)

Conferences

EMNLP (79) ACL (62) NAACL (31) ICLR (22) NIPS (21) AAAI (13) IJCNLP (12) ICML (10) CVPR (8) EACL (5) CONLL (4) ICCV (4) ECCV (3) COLING (2) AISTATS (1) JMLR (1)

Top co-authors

Ximing Lu (46) Chandra Bhagavatula (43) Ronan Le Bras (42) Maarten Sap (33) Noah A. Smith (32) Liwei Jiang (28) Jack Hessel (27) Peter West (27) Rowan Zellers (23) Ari Holtzman (22)

Research topics

Reinforcement Learning (1) Cognitive Science (1) Privacy (1)

Keywords

language model (45) commonsense reasoning (37) large language model (34) text generation (27) question answering (16) multimodal learning (15) reinforcement learning (14) natural language inference (13) knowledge distillation (12) zero-shot learning (11) commonsense knowledge (11) vision-language model (10) self-supervised learning (9) benchmark evaluation (9) pretrained language model (9) text classification (8) visual reasoning (8) unsupervised learning (8) natural language understanding (7) theory of mind (7)

Papers

Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning EACL 2026
HALoGEN: Fantastic LLM Hallucinations and Where to Find Them ACL 2025
DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life ICLR 2025
Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation ICCV 2025
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset ICLR 2025
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild ICLR 2025
Opt-ICL at LeWiDi-2025: Maximizing In-Context Signal from Rater Examples via Meta-Learning EMNLP 2025
Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning EMNLP 2025
Zero-shot Multimodal Document Retrieval via Cross-modal Question Generation EMNLP 2025
Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index EMNLP 2025
Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions EMNLP 2025
RewardBench: Evaluating Reward Models for Language Modeling NAACL 2025
L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects NAACL 2025
ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs NAACL 2025
Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models NAACL 2025
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing ICLR 2025
CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness ICLR 2025
AI as Humanity’s Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text ICLR 2025
Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement ICLR 2025
Language Model Alignment in Multilingual Trolley Problems ICLR 2025
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence ICML 2025
SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior ICML 2025
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning ICML 2025
Diverging Preferences: When do Annotators Disagree and do Models Know? ICML 2025
Position: Political Neutrality in AI Is Impossible — But Here Is How to Approximate It ICML 2025
One-Minute Video Generation with Test-Time Training CVPR 2025
Synthetic Visual Genome CVPR 2025
LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences ACL 2025
Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications ACL 2025
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens ACL 2025
CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs’ Cultural Knowledge Through Human-AI Red-Teaming ACL 2025
Can Language Models Reason about Individualistic Human Values and Preferences? ACL 2025
Biased LLMs can Influence Political Decision-Making ACL 2025
Explore Theory of Mind: program-guided adversarial data generation for theory of mind reasoning ICLR 2025
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning ICLR 2024
Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models EACL 2024
Structured Chemistry Reasoning with Large Language Models ICML 2024
Position: A Roadmap to Pluralistic Alignment ICML 2024
A Call for Clarity in Beam Search: How It Works and When It Stops COLING 2024
NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge NAACL 2024
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement ICLR 2024
WildChat: 1M ChatGPT Interaction Logs in the Wild ICLR 2024
Tailoring Self-Rationalizers with Multi-Reward Distillation ICLR 2024
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting ICLR 2024
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory ICLR 2024
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning ICLR 2024
The Generative AI Paradox: “What It Can Create, It May Not Understand” ICLR 2024
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations NAACL 2024
Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions NIPS 2024
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback NIPS 2024
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens NIPS 2024
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models NIPS 2024
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs ACL 2024
Agent Lumos: Unified and Modular Training for Open-Source Language Agents ACL 2024
Selective “Selective Prediction”: Reducing Unnecessary Abstention in Vision-Language Reasoning ACL 2024
WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences NIPS 2024
The Art of Saying No: Contextual Noncompliance in Language Models NIPS 2024
Towards Visual Text Design Transfer Across Languages NIPS 2024
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition NIPS 2024
MacGyver: Are Large Language Models Creative Problem Solvers? NAACL 2024
Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model NAACL 2024
JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models NAACL 2024
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation EMNLP 2024
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements EMNLP 2024
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration EMNLP 2024
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search EMNLP 2024
WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs NIPS 2024
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models EMNLP 2024
WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild EMNLP 2024
Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models EMNLP 2024
Symbolic Working Memory Enhances Language Models for Complex Rule Application EMNLP 2024
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties AAAI 2024
Crystal: Introspective Reasoners Reinforced with Self-Feedback EMNLP 2023
Generating Sequences by Learning to Self-Correct ICLR 2023
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization ICLR 2023
Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest ACL 2023
REV: Information-Theoretic Evaluation of Free-Text Rationales ACL 2023
Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step ACL 2023
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration ACL 2023
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales ACL 2023
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation ACL 2023
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons ACL 2023
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations ACL 2023
Minding Language Models’ (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker ACL 2023
Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation ACL 2023
From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models ACL 2023
Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts ACL 2023
Commonsense Knowledge Transfer for Pre-trained Language Models ACL 2023
Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference ACL 2023
Influence Diagnostics under Self-concordance AISTATS 2023
MAUVE Scores for Generative Models: Theory and Practice JMLR 2023
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text NIPS 2023
Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement Learning CVPR 2023
Penguins Don’t Fly: Reasoning about Generics through Instantiations and Exceptions EACL 2023
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling ICML 2023
Localized Symbolic Knowledge Distillation for Visual Commonsense Models NIPS 2023
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks NIPS 2023
RealTime QA: What's the Answer Right Now? NIPS 2023
Faith and Fate: Limits of Transformers on Compositionality NIPS 2023
We’re Afraid Language Models Aren’t Modeling Ambiguity EMNLP 2023
Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms EMNLP 2023
Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements EMNLP 2023
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning EMNLP 2023
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization EMNLP 2023
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions EMNLP 2023
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation EMNLP 2023
STEER: Unified Style Transfer with Expert Reinforcement EMNLP 2023
“You Are An Expert Linguistic Annotator”: Limits of LLMs as Analyzers of Abstract Meaning Representation EMNLP 2023
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations EMNLP 2023
BotPercent: Estimating Bot Populations in Twitter Communities EMNLP 2023
CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos ICCV 2023
QUARK: Controllable Text Generation with Reinforced Unlearning NIPS 2022
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts NAACL 2022
Reframing Instructional Prompts to GPTk’s Language ACL 2022
Probing Factually Grounded Content Transfer with Factual Ablation ACL 2022
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation EMNLP 2022
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? EMNLP 2022
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation EMNLP 2022
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation EMNLP 2022
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation EMNLP 2022
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering EMNLP 2022
Twist Decoding: Diverse Generators Guide Each Other EMNLP 2022
ProsocialDialog: A Prosocial Backbone for Conversational Agents EMNLP 2022
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs EMNLP 2022
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning ECCV 2022
Reframing Human-AI Collaboration for Generating Free-Text Explanations NAACL 2022
Misinfo Reaction Frames: Reasoning about Readers’ Reactions to News Headlines ACL 2022
Generated Knowledge Prompting for Commonsense Reasoning ACL 2022
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics NIPS 2022
NaturalProver: Grounded Mathematical Proof Generation with Language Models NIPS 2022
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations EMNLP 2022
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer NAACL 2022
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models NAACL 2022
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information ICML 2022
Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text ACL 2022
MERLOT Reserve: Neural Script Knowledge Through Vision and Language and Sound CVPR 2022
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics NAACL 2022
Transparent Human Evaluation for Image Captioning NAACL 2022
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand NAACL 2022
Exposing the Limits of Video-Text Models through Contrast Sets NAACL 2022
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection NAACL 2022
Aligning to Social Norms and Values in Interactive Narratives NAACL 2022
Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics AAAI 2022
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World ACL 2021
Challenges in Automated Debiasing for Toxic Language Detection EACL 2021
Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation ACL 2021
On-the-Fly Attention Modulation for Neural Generation IJCNLP 2021
GO FIGURE: A Meta Evaluation of Factuality in Summarization IJCNLP 2021
TIMEDIAL: Temporal Commonsense Reasoning in Dialog IJCNLP 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts IJCNLP 2021
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World IJCNLP 2021
Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation IJCNLP 2021
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models IJCNLP 2021
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models ACL 2021
MERLOT: Multimodal Neural Script Knowledge Models NIPS 2021
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals NIPS 2021
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark AAAI 2021
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences EMNLP 2021
Contrastive Explanations for Model Interpretability EMNLP 2021
Surface Form Competition: Why the Highest Probability Answer Isn’t Always Right EMNLP 2021
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules EMNLP 2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning EMNLP 2021
proScript: Partially Ordered Scripts Generation EMNLP 2021
SCRUPLES: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes AAAI 2021
Paragraph-level Commonsense Transformers with Recurrent Memory AAAI 2021
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations AAAI 2021
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision AAAI 2021
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs AAAI 2021
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering AAAI 2021
On-the-Fly Attention Modulation for Neural Generation ACL 2021
GO FIGURE: A Meta Evaluation of Factuality in Summarization ACL 2021
TIMEDIAL: Temporal Commonsense Reasoning in Dialog ACL 2021
TuringAdvice: A Generative and Dynamic Evaluation of Language Use NAACL 2021
“I’m Not Mad”: Commonsense Implications of Negation and Contradiction NAACL 2021
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints NAACL 2021
VinVL: Revisiting Visual Representations in Vision-Language Models CVPR 2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers NIPS 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts ACL 2021
Discourse Understanding and Factual Consistency in Abstractive Summarization EACL 2021
WinoGrande: An Adversarial Winograd Schema Challenge at Scale AAAI 2020
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning EMNLP 2020
Social Chemistry 101: Learning to Reason about Social and Moral Norms EMNLP 2020
Adversarial Filters of Dataset Biases ICML 2020
Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models ACL 2020
Social Bias Frames: Reasoning about Social and Power Implications of Language ACL 2020
The Curious Case of Neural Text Degeneration ICLR 2020
Thinking Like a Skeptic: Defeasible Inference in Natural Language EMNLP 2020
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models EMNLP 2020
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs EMNLP 2020
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning EMNLP 2020
Generative Data Augmentation for Commonsense Reasoning EMNLP 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics EMNLP 2020
PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction EMNLP 2020
Unsupervised Commonsense Question Answering with Self-Talk EMNLP 2020
PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking EMNLP 2020
VisualCOMET: Reasoning about the Dynamic Context of a Still Image ECCV 2020
PIQA: Reasoning about Physical Commonsense in Natural Language AAAI 2020
Do Neural Language Models Overcome Reporting Bias? COLING 2020
Commonsense Knowledge Base Completion with Structural and Semantic Context AAAI 2020
Abductive Commonsense Reasoning ICLR 2020
Commonsense Reasoning for Natural Language Processing ACL 2020
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks ECCV 2020
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation CVPR 2019
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning AAAI 2019
The Risk of Racial Bias in Hate Speech Detection ACL 2019
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction ACL 2019
HellaSwag: Can a Machine Really Finish Your Sentence? ACL 2019
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading ACL 2019
From Recognition to Cognition: Visual Commonsense Reasoning CVPR 2019
Defending Against Neural Fake News NIPS 2019
Robust Navigation with Language Pretraining and Stochastic Sampling EMNLP 2019
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning EMNLP 2019
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle EMNLP 2019
Social IQa: Commonsense Reasoning about Social Interactions EMNLP 2019
Counterfactual Story Reasoning and Generation EMNLP 2019
Robust Navigation with Language Pretraining and Stochastic Sampling IJCNLP 2019
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning IJCNLP 2019
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle IJCNLP 2019
Social IQa: Commonsense Reasoning about Social Interactions IJCNLP 2019
Counterfactual Story Reasoning and Generation IJCNLP 2019
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms NAACL 2019
Benchmarking Hierarchical Script Knowledge NAACL 2019
Sounding Board: A User-Centric and Content-Driven Social Chatbot NAACL 2018
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference EMNLP 2018
Neural Metaphor Detection in Context EMNLP 2018
QuAC: Question Answering in Context EMNLP 2018
Simulating Action Dynamics with Neural Process Networks ICLR 2018
Ultra-Fine Entity Typing ACL 2018
Event2Mind: Commonsense Inference on Events, Intents, and Reactions ACL 2018
Learning to Write with Cooperative Discriminators ACL 2018
Neural Motifs: Scene Graph Parsing With Global Context CVPR 2018
Modeling Naive Psychology of Characters in Simple Commonsense Stories ACL 2018
Discourse-Aware Neural Rewards for Coherent Text Generation NAACL 2018
Deep Communicating Agents for Abstractive Summarization NAACL 2018
Neural Poetry Translation NAACL 2018
The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task CONLL 2017
Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast ACL 2017
Verb Physics: Relative Physical Knowledge of Actions and Objects ACL 2017
Connotation Frames of Power and Agency in Modern Films EMNLP 2017
Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking EMNLP 2017
Dynamic Entity Representations in Neural Language Models EMNLP 2017
Zero-Shot Activity Recognition with Verb Attribute Induction EMNLP 2017
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation ACL 2017
Globally Coherent Text Generation with Neural Checklist Models EMNLP 2016
Connotation Frames: A Data-Driven Investigation ACL 2016
Document-level Sentiment Inference with Social, Faction, and Discourse Context ACL 2016
Learning Prototypical Event Structure from Photo Albums ACL 2016
Generating Topical Poetry EMNLP 2016
Mise en Place: Unsupervised Interpretation of Instructional Recipes EMNLP 2015
Event Detection and Factuality Assessment with Non-Expert Supervision EMNLP 2015
Déjà Image-Captions: A Corpus of Expressive Descriptions in Repetition NAACL 2015
Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing ICCV 2015
Keystroke Patterns as Prosody in Digital Writings: A Case Study with Deceptive Reviews and Essays EMNLP 2014
ConnotationWordNet: Learning Connotation over the Word+Sense Network ACL 2014
Success with Style: Using Writing Style to Predict the Success of Novels EMNLP 2013
Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews EMNLP 2013
Understanding and Quantifying Creativity in Lexical Composition EMNLP 2013
Connotation Lexicon: A Dash of Sentiment Beneath the Surface Meaning ACL 2013
From Large Scale Image Categorization to Entry-Level Categories ICCV 2013
Generalizing Image Captions for Image-Text Parallel Corpus ACL 2013
Characterizing Stylistic Elements in Syntactic Structure EMNLP 2012
Syntactic Stylometry for Deception Detection ACL 2012
Collective Generation of Natural Image Descriptions ACL 2012
Detecting Visual Text NAACL 2012
Characterizing Stylistic Elements in Syntactic Structure CONLL 2012
Gender Attribution: Tracing Stylometric Evidence Beyond Topic and Genre CONLL 2011
Finding Deceptive Opinion Spam by Any Stretch of the Imagination ACL 2011
Language of Vandalism: Improving Wikipedia Vandalism Detection via Stylometric Analysis ACL 2011
Learning General Connotation of Words using Graph-based Algorithms EMNLP 2011
Composing Simple Image Descriptions using Web-scale N-grams CONLL 2011
Automatically Generating Annotator Rationales to Improve Sentiment Classification ACL 2010
Hierarchical Sequential Learning for Extracting Opinions and Their Attributes ACL 2010
Adapting a Polarity Lexicon using Integer Linear Programming for Domain-Specific Sentiment Classification EMNLP 2009
Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis EMNLP 2008
Structured Local Training and Biased Potential Functions for Conditional Random Fields with Application to Coreference Resolution NAACL 2007
Joint Extraction of Entities and Relations for Opinion Recognition EMNLP 2006
OpinionFinder: A System for Subjectivity Analysis EMNLP 2005
Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns EMNLP 2005