Unsupervised Sentence Compression using Denoising Auto-Encoders. - Thibault Févry; Jason Phang (CoNLL, 2018)

Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks. - Jason Phang; Thibault Févry; Samuel R. Bowman (CoRR, 2018)

Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs. - Alex Warstadt; Yu Cao; Ioana Grosu; Wei Peng 013; Hagen Blix; Yining Nie; Anna Alsop; Shikha Bordia; Haokun Liu; Alicia Parrish; Sheng-Fu Wang; Jason Phang; et al. (EMNLP/IJCNLP (1), 2019)

Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. - Yiqiu Shen; Nan Wu; Jason Phang; Jungkyu Park 001; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (MLMI@MICCAI, 2019)

Screening Mammogram Classification with Prior Exams. - Jungkyu Park 001; Jason Phang; Yiqiu Shen; Nan Wu; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (CoRR, 2019)

Improving localization-based approaches for breast cancer screening exam classification. - Thibault Févry; Jason Phang; Nan Wu; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (CoRR, 2019)

Do Attention Heads in BERT Track Syntactic Dependencies? - Phu Mon Htut; Jason Phang; Shikha Bordia; Samuel R. Bowman (CoRR, 2019)

Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? - Yada Pruksachatkun; Jason Phang; Haokun Liu; Phu Mon Htut; Xiaoyi Zhang; Richard Yuanzhe Pang; Clara Vania; Katharina Kann; Samuel R. Bowman (ACL, 2020)

jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models. - Yada Pruksachatkun; Philip Yeres; Haokun Liu; Jason Phang; Phu Mon Htut; Alex Wang; Ian Tenney; Samuel R. Bowman (ACL (demo), 2020)

English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too. - Jason Phang; Iacer Calixto; Phu Mon Htut; Yada Pruksachatkun; Haokun Liu; Clara Vania; Katharina Kann; Samuel R. Bowman (AACL/IJCNLP, 2020)

Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work? - Yada Pruksachatkun; Jason Phang; Haokun Liu; Phu Mon Htut; Xiaoyi Zhang; Richard Yuanzhe Pang; Clara Vania; Katharina Kann; Samuel R. Bowman (CoRR, 2020)

Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms. - Nan Wu; Zhe Huang 005; Yiqiu Shen; Jungkyu Park 001; Jason Phang; Taro Makino; Sungheon Gene Kim; Kyunghyun Cho; Laura Heacock; Linda Moy; Krzysztof J. Geras (CoRR, 2020)

Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability. - Jason Phang; Jungkyu Park 001; Krzysztof J. Geras (CoRR, 2020)

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. - Nan Wu; Jason Phang; Jungkyu Park 001; Yiqiu Shen; Zhe Huang 005; Masha Zorin; Stanislaw Jastrzebski; Thibault Févry; Joe Katsnelson; Eric Kim; Stacey Wolfson; Ujas Parikh; et al. (IEEE Trans. Medical Imaging, 2020)

Comparing Test Sets with Item Response Theory. - Clara Vania; Phu Mon Htut; William Huang; Dhara A. Mungra; Richard Yuanzhe Pang; Jason Phang; Haokun Liu; Kyunghyun Cho; Samuel R. Bowman (ACL/IJCNLP (1), 2021)

Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers. - Jason Phang; Haokun Liu; Samuel R. Bowman (BlackboxNLP@EMNLP, 2021)

The Pile: An 800GB Dataset of Diverse Text for Language Modeling. - Leo Gao; Stella Biderman; Sid Black; Laurence Golding; Travis Hoppe; Charles Foster; Jason Phang; Horace He; Anish Thite; Noa Nabeshima; Shawn Presser; Connor Leahy (CoRR, 2021)

Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair. - Jason Phang; Angelica Chen; William Huang; Samuel R. Bowman (CoRR, 2021)

Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms. - Nan Wu; Zhe Huang 005; Yiqiu Shen; Jungkyu Park 001; Jason Phang; Taro Makino; Sungheon Gene Kim; Kyunghyun Cho; Laura Heacock; Linda Moy; Krzysztof J. Geras (J. Digit. Imaging, 2021)

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. - Yiqiu Shen; Nan Wu; Jason Phang; Jungkyu Park 001; Kangning Liu; Sudarshini Tyagi; Laura Heacock; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (Medical Image Anal., 2021)

BBQ: A hand-built bias benchmark for question answering. - Alicia Parrish; Angelica Chen; Nikita Nangia; Vishakh Padmakumar; Jason Phang; Jana Thompson; Phu Mon Htut; Samuel R. Bowman (ACL (Findings), 2022)

What Language Model to Train if You Have One Million GPU Hours? - Teven Le Scao; Thomas Wang; Daniel Hesslow; Lucile Saulnier; Stas Bekman; M. Saiful Bari; Stella Biderman; Hady Elsahar; Niklas Muennighoff; Jason Phang; Ofir Press; Colin Raffel; et al. (EMNLP (Findings), 2022)

SQuALITY: Building a Long-Document Summarization Dataset the Hard Way. - Alex Wang; Richard Yuanzhe Pang; Angelica Chen; Jason Phang; Samuel R. Bowman (EMNLP, 2022)

QuALITY: Question Answering with Long Input Texts, Yes! - Richard Yuanzhe Pang; Alicia Parrish; Nitish Joshi; Nikita Nangia; Jason Phang; Angelica Chen; Vishakh Padmakumar; Johnny Ma; Jana Thompson; He He 001; Samuel R. Bowman (NAACL-HLT, 2022)

Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions. - Alicia Parrish; Harsh Trivedi; Ethan Perez; Angelica Chen; Nikita Nangia; Jason Phang; Samuel R. Bowman (CoRR, 2022)

GPT-NeoX-20B: An Open-Source Autoregressive Language Model. - Sid Black; Stella Biderman; Eric Hallahan; Quentin Anthony; Leo Gao; Laurence Golding; Horace He; Connor Leahy; Kyle McDonell; Jason Phang; Michael Pieler; USVSN Sai Prashanth; et al. (CoRR, 2022)

EleutherAI: Going Beyond "Open Science" to "Science in the Open". - Jason Phang; Herbie Bradley; Leo Gao; Louis Castricato; Stella Biderman (CoRR, 2022)

Two-Turn Debate Doesn't Help Humans Answer Hard Reading Comprehension Questions. - Alicia Parrish; Harsh Trivedi; Nikita Nangia; Vishakh Padmakumar; Jason Phang; Amanpreet Singh Saimbhi; Samuel R. Bowman (CoRR, 2022)

What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. - Julian Michael; Ari Holtzman; Alicia Parrish; Aaron Mueller; Alex Wang; Angelica Chen; Divyam Madaan; Nikita Nangia; Richard Yuanzhe Pang; Jason Phang; Samuel R. Bowman (ACL (1), 2023)

Investigating Efficiently Extending Transformers for Long Input Summarization. - Jason Phang; Yao Zhao; Peter J. Liu (EMNLP, 2023)

Pretraining Language Models with Human Preferences. - Tomasz Korbak; Kejian Shi; Angelica Chen; Rasika Vinayak Bhalerao; Christopher L. Buckley; Jason Phang; Samuel R. Bowman; Ethan Perez (ICML, 2023)

HyperTuning: Toward Adapting Large Language Models without Back-propagation. - Jason Phang; Yi Mao; Pengcheng He; Weizhu Chen (ICML, 2023)

Tool Learning with Foundation Models. - Yujia Qin; Shengding Hu; Yankai Lin; Weize Chen; Ning Ding 002; Ganqu Cui; Zheni Zeng; Yufei Huang 008; Chaojun Xiao; Chi Han; Yi Ren Fung 001; Yusheng Su; et al. (CoRR, 2023)

Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data? - Xiangru Tang; Yiming Zong; Jason Phang; Yilun Zhao 001; Wangchunshu Zhou; Arman Cohan; Mark Gerstein (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? - Xiangru Tang; Yiming Zong; Jason Phang; Yilun Zhao 001; Wangchunshu Zhou; Arman Cohan; Mark Gerstein (NAACL (Short Papers), 2024)

Investigating the Effectiveness of HyperTuning via Gisting. - Jason Phang (CoRR, 2024)

Lessons from the Trenches on Reproducible Evaluation of Language Models. - Stella Biderman; Hailey Schoelkopf; Lintang Sutawika; Leo Gao; Jonathan Tow; Baber Abbasi; Alham Fikri Aji; Pawan Sasanka Ammanamanchi; Sidney Black; Jordan Clive; Anthony DiPofi; Julen Etxaniz; et al. (CoRR, 2024)

Large Language Models as Misleading Assistants in Conversation. - Betty Li Hou; Kejian Shi; Jason Phang; James Aung; Steven Adler; Rosie Campbell (CoRR, 2024)

Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs. - Angelica Chen; Jason Phang; Alicia Parrish; Vishakh Padmakumar; Chen Zhao; Samuel R. Bowman; Kyunghyun Cho (Trans. Mach. Learn. Res., 2024)

How AI and Human Behaviors Shape Psychosocial Effects of Chatbot Use: A Longitudinal Randomized Controlled Study. - Cathy Mengying Fang; Auren R. Liu; Valdemar Danry; Eunhae Lee; Samantha W. T. Chan; Pat Pataranutaporn; Pattie Maes; Jason Phang; Michael Lampe; Lama Ahmad; Sandhini Agarwal (CoRR, 2025)

Investigating Affective Use and Emotional Well-being on ChatGPT. - Jason Phang; Michael Lampe; Lama Ahmad; Sandhini Agarwal; Cathy Mengying Fang; Auren R. Liu; Valdemar Danry; Eunhae Lee; Samantha W. T. Chan; Pat Pataranutaporn; Pattie Maes (CoRR, 2025)

Tool Learning with Foundation Models. - Yujia Qin; Shengding Hu; Yankai Lin; Weize Chen; Ning Ding 002; Ganqu Cui; Zheni Zeng; Xuanhe Zhou; Yufei Huang 008; Chaojun Xiao; Chi Han; Yi R. Fung 001; et al. (ACM Comput. Surv., 2025)