Jason Phang

According to our database, Jason Phang authored at least 37 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Investigating the Effectiveness of HyperTuning via Gisting.

Jason Phang

CoRR, 2024

2023

Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?

Xiangru Tang, Yiming Zong, Jason Phang, Yilun Zhao, Wangchunshu Zhou, Arman Cohan, Mark Gerstein

CoRR, 2023

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

CoRR, 2023

Tool Learning with Foundation Models.

Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun

CoRR, 2023

HyperTuning: Toward Adapting Large Language Models without Back-propagation.

Jason Phang, Yi Mao, Pengcheng He, Weizhu Chen

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the International Conference on Machine Learning, 2023

Investigating Efficiently Extending Transformers for Long Input Summarization.

Jason Phang, Yao Zhao, Peter J. Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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, Victor Sanh, Sheng Shen, Lintang Sutawika, Jaesung Tae, Zheng Xin Yong, Julien Launay, Iz Beltagy

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

EleutherAI: Going Beyond "Open Science" to "Science in the Open".

Jason Phang, Herbie Bradley, Leo Gao, Louis Castricato, Stella Biderman

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, Shivanshu Purohit, Laria Reynolds, Jonathan Tow, Ben Wang, Samuel Weinbach

CoRR, 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

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, Samuel R. Bowman

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

SQuALITY: Building a Long-Document Summarization Dataset the Hard Way.

Alex Wang, Richard Yuanzhe Pang, Angelica Chen, Jason Phang, Samuel R. Bowman

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

What Language Model to Train if You Have One Million GPU Hours?

Teven Le Scao, Thomas Wang, Daniel Hesslow, Stas Bekman, M. Saiful Bari, Stella Biderman, Hady Elsahar, Niklas Muennighoff, Jason Phang, Ofir Press, Colin Raffel, Victor Sanh, Sheng Shen, Lintang Sutawika, Jaesung Tae, Zheng Xin Yong, Julien Launay, Iz Beltagy

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization.

Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

Medical Image Anal., 2021

Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms.

Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras

J. Digit. Imaging, 2021

Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair.

Jason Phang, Angelica Chen, William Huang, Samuel R. Bowman

CoRR, 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

Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers.

Jason Phang, Haokun Liu, Samuel R. Bowman

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.

Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanislaw Jastrzebski, Thibault Févry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D. Weinstein, Beatriu Reig, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana Lewin, Jiyon Lee, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, Sungheon Gene Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

IEEE Trans. Medical Imaging, 2020

Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability.

Jason Phang, Jungkyu Park, Krzysztof J. Geras

CoRR, 2020

Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms.

Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras

CoRR, 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

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

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 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

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

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

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Do Attention Heads in BERT Track Syntactic Dependencies?

Phu Mon Htut, Jason Phang, Shikha Bordia, Samuel R. Bowman

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

Screening Mammogram Classification with Prior Exams.

Jungkyu Park, Jason Phang, Yiqiu Shen, Nan Wu, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

CoRR, 2019

Globally-Aware Multiple Instance Classifier for Breast Cancer Screening.

Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs.

Alex Warstadt, Yu Cao, Ioana Grosu, Wei Peng, Hagen Blix, Yining Nie, Anna Alsop, Shikha Bordia, Haokun Liu, Alicia Parrish, Sheng-Fu Wang, Jason Phang, Anhad Mohananey, Phu Mon Htut, Paloma Jeretic, Samuel R. Bowman

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks.

Jason Phang, Thibault Févry, Samuel R. Bowman

CoRR, 2018

Unsupervised Sentence Compression using Denoising Auto-Encoders.

Thibault Févry, Jason Phang

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018