The Risk of Racial Bias in Hate Speech Detection. - Maarten Sap; Dallas Card; Saadia Gabriel; Yejin Choi 001; Noah A. Smith (ACL (1), 2019)

EARLY FUSION for Goal Directed Robotic Vision. - Aaron Walsman; Yonatan Bisk; Saadia Gabriel; Dipendra Misra; Yoav Artzi; Yejin Choi 001; Dieter Fox (IROS, 2019)

MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms. - Aida Amini; Saadia Gabriel; Shanchuan Lin; Rik Koncel-Kedziorski; Yejin Choi 001; Hannaneh Hajishirzi (NAACL-HLT (1), 2019)

Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow. - Saadia Gabriel; Antoine Bosselut; Ari Holtzman; Kyle Lo; Asli Celikyilmaz; Yejin Choi 001 (CoRR, 2019)

Detecting and Tracking Communal Bird Roosts in Weather Radar Data. - Zezhou Cheng; Saadia Gabriel; Pankaj Bhambhani; Daniel Sheldon; Subhransu Maji; Andrew Laughlin; David Winkler (AAAI, 2020)

Social Bias Frames: Reasoning about Social and Power Implications of Language. - Maarten Sap; Saadia Gabriel; Lianhui Qin; Dan Jurafsky; Noah A. Smith; Yejin Choi 001 (ACL, 2020)

Paragraph-level Commonsense Transformers with Recurrent Memory. - Saadia Gabriel; Chandra Bhagavatula; Vered Shwartz; Ronan Le Bras 001; Maxwell Forbes; Yejin Choi 001 (AAAI, 2021)

GO FIGURE: A Meta Evaluation of Factuality in Summarization. - Saadia Gabriel; Asli Celikyilmaz; Rahul Jha; Yejin Choi 001; Jianfeng Gao 001 (ACL/IJCNLP (Findings), 2021)

Discourse Understanding and Factual Consistency in Abstractive Summarization. - Saadia Gabriel; Antoine Bosselut; Jeff Da; Ari Holtzman; Jan Buys; Kyle Lo; Asli Celikyilmaz; Yejin Choi 001 (EACL, 2021)

Misinfo Belief Frames: A Case Study on Covid & Climate News. - Saadia Gabriel; Skyler Hallinan; Maarten Sap; Pemi Nguyen; Franziska Roesner; Eunsol Choi; Yejin Choi 001 (CoRR, 2021)

Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines. - Saadia Gabriel; Skyler Hallinan; Maarten Sap; Pemi Nguyen; Franziska Roesner; Eunsol Choi; Yejin Choi 001 (ACL (1), 2022)

ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. - Thomas Hartvigsen; Saadia Gabriel; Hamid Palangi; Maarten Sap; Dipankar Ray; Ece Kamar (ACL (1), 2022)

NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? - Saadia Gabriel; Hamid Palangi; Yejin Choi 001 (EMNLP (Findings), 2022)

Socratis: Are large multimodal models emotionally aware? - Katherine Deng; Arijit Ray; Reuben Tan; Saadia Gabriel; Bryan A. Plummer; Kate Saenko (CoRR, 2023)

Socially Responsible and Factual Reasoning for Equitable AI Systems - Saadia Gabriel (2023)

MisinfoEval: Generative AI in the Era of "Alternative Facts". - Saadia Gabriel; Liang Lyu; James Siderius; Marzyeh Ghassemi; Jacob Andreas; Asuman E. Ozdaglar (EMNLP, 2024)

Can AI Relate: Testing Large Language Model Response for Mental Health Support. - Saadia Gabriel; Isha Puri; Xuhai Xu; Matteo Malgaroli; Marzyeh Ghassemi (EMNLP (Findings), 2024)

How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. - Jaeyoung Lee; Ximing Lu; Jack Hessel; Faeze Brahman; Youngjae Yu; Yonatan Bisk; Yejin Choi 001; Saadia Gabriel (EMNLP (Findings), 2024)

Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model. - Salman Rahman; Lavender Yao Jiang; Saadia Gabriel; Yindalon Aphinyanaphongs; Eric Karl Oermann; Rumi Chunara (CoRR, 2024)

Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data. - Xuhai Xu; Bingsheng Yao; Yuanzhe Dong; Saadia Gabriel; Hong Yu 001; James A. Hendler; Marzyeh Ghassemi; Anind K. Dey; Dakuo Wang (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Mind the Gesture: Evaluating AI Sensitivity to Culturally Offensive Non-Verbal Gestures. - Akhila Yerukola; Saadia Gabriel; Nanyun Peng 001; Maarten Sap (ACL (1), 2025)

Investigating machine moral judgement through the Delphi experiment. - Liwei Jiang; Jena D. Hwang; Chandra Bhagavatula; Ronan Le Bras 001; Jenny T. Liang; Sydney Levine; Jesse Dodge; Keisuke Sakaguchi; Maxwell Forbes; Jack Hessel; Jonathan Borchardt; Taylor Sorensen; et al. (Nat. Mac. Intell., 2025)

Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English. - Runtao Zhou; Guangya Wan; Saadia Gabriel; Sheng Li 001; Alexander J. Gates; Maarten Sap; Thomas Hartvigsen (CoRR, 2025)

MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations. - Genglin Liu; Salman Rahman; Elisa Kreiss; Marzyeh Ghassemi; Saadia Gabriel (CoRR, 2025)

X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents. - Salman Rahman; Liwei Jiang; James Shiffer; Genglin Liu; Sheriff Issaka; Md. Rizwan Parvez; Hamid Palangi; Kai-Wei Chang; Yejin Choi 001; Saadia Gabriel (CoRR, 2025)

AI Debate Aids Assessment of Controversial Claims. - Salman Rahman; Sheriff Issaka; Ashima Suvarna; Genglin Liu; James Shiffer; Jaeyoung Lee; Md. Rizwan Parvez; Hamid Palangi; Shi Feng; Nanyun Peng 001; Yejin Choi 001; Julian Michael; et al. (CoRR, 2025)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)

ModelCitizens: Representing Community Voices in Online Safety. - Ashima Suvarna; Christina Chance; Karolina Naranjo; Hamid Palangi; Sophie Hao; Thomas Hartvigsen; Saadia Gabriel (CoRR, 2025)