Jason Phang

Jason Phang

New York University

H-index: 23

North America-United States

About Jason Phang

Jason Phang, With an exceptional h-index of 23 and a recent h-index of 23 (since 2020), a distinguished researcher at New York University, specializes in the field of Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Investigating the Effectiveness of HyperTuning via Gisting

Tool learning with foundation models

Hypertuning: Toward adapting large language models without back-propagation

Bloom: A 176b-parameter open-access multilingual language model

Two failures of self-consistency in the multi-step reasoning of llms

Pretraining language models with human preferences

Single-turn debate does not help humans answer hard reading-comprehension questions

Squality: Building a long-document summarization dataset the hard way

Jason Phang Information

University

Position

___

Citations(all)

4501

Citations(since 2020)

4495

Cited By

504

hIndex(all)

23

hIndex(since 2020)

23

i10Index(all)

28

i10Index(since 2020)

28

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Jason Phang Skills & Research Interests

Machine Learning

Top articles of Jason Phang

Title

Journal

Author(s)

Publication Date

Investigating the Effectiveness of HyperTuning via Gisting

arXiv preprint arXiv:2402.16817

Jason Phang

2024/2/26

Tool learning with foundation models

arXiv preprint arXiv:2304.08354

Yujia Qin

Shengding Hu

Yankai Lin

Weize Chen

Ning Ding

...

2023/4/17

Hypertuning: Toward adapting large language models without back-propagation

Jason Phang

Yi Mao

Pengcheng He

Weizhu Chen

2023/7/3

Bloom: A 176b-parameter open-access multilingual language model

Teven Le Scao

Angela Fan

Christopher Akiki

Ellie Pavlick

Suzana Ilić

...

2023/11/20

Two failures of self-consistency in the multi-step reasoning of llms

arXiv preprint arXiv:2305.14279

Angelica Chen

Jason Phang

Alicia Parrish

Vishakh Padmakumar

Chen Zhao

...

2023/5/23

Pretraining language models with human preferences

Tomasz Korbak

Kejian Shi

Angelica Chen

Rasika Vinayak Bhalerao

Christopher Buckley

...

2023/7/3

Single-turn debate does not help humans answer hard reading-comprehension questions

arXiv preprint arXiv:2204.05212

Alicia Parrish

Harsh Trivedi

Ethan Perez

Angelica Chen

Nikita Nangia

...

2022/4/11

Squality: Building a long-document summarization dataset the hard way

arXiv preprint arXiv:2205.11465

Alex Wang

Richard Yuanzhe Pang

Angelica Chen

Jason Phang

Samuel R Bowman

2022/5/23

Investigating efficiently extending transformers for long input summarization

arXiv preprint arXiv:2208.04347

Jason Phang

Yao Zhao

Peter J Liu

2022/8/8

QuALITY: Question Answering with Long Input Texts, Yes!

NAACL 2022

Samuel R Bowman

Angelica Chen

He He

Nitish Joshi

Johnny Ma

...

2022/5

What language model to train if you have one million gpu hours?

Teven Le Scao

Thomas Wang

Daniel Hesslow

Lucile Saulnier

Stas Bekman

...

2022/3/9

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

arXiv preprint arXiv:2210.06413

Jason Phang

Herbie Bradley

Leo Gao

Louis Castricato

Stella Biderman

2022/10/12

Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

arXiv preprint arXiv:2206.04615

Aarohi Srivastava

Abhinav Rastogi

Abhishek Rao

Abu Awal Md Shoeb

Abubakar Abid

...

2022/6/9

Gpt-neox-20b: An open-source autoregressive language model

arXiv preprint arXiv:2204.06745

Sid Black

Stella Biderman

Eric Hallahan

Quentin Anthony

Leo Gao

...

2022/4/14

Two-Turn Debate Doesn't Help Humans Answer Hard Reading Comprehension Questions

arXiv preprint arXiv:2210.10860

Alicia Parrish

Harsh Trivedi

Nikita Nangia

Vishakh Padmakumar

Jason Phang

...

2022/10/19

What do nlp researchers believe? results of the nlp community metasurvey

arXiv preprint arXiv:2208.12852

Julian Michael

Ari Holtzman

Alicia Parrish

Aaron Mueller

Alex Wang

...

2022/8/26

Comparing test sets with item response theory

arXiv preprint arXiv:2106.00840

Clara Vania

Phu Mon Htut

William Huang

Dhara Mungra

Richard Yuanzhe Pang

...

2021/6/1

BBQ: A hand-built bias benchmark for question answering

arXiv preprint arXiv:2110.08193

Alicia Parrish

Angelica Chen

Nikita Nangia

Vishakh Padmakumar

Jason Phang

...

2021/10/15

Reducing false-positive biopsies using deep neural networks that utilize both local and global image context of screening mammograms

Journal of Digital Imaging

Nan Wu

Zhe Huang

Yiqiu Shen

Jungkyu Park

Jason Phang

...

2021/12

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

Medical image analysis

Yiqiu Shen

Nan Wu

Jason Phang

Jungkyu Park

Kangning Liu

...

2021/2/1

See List of Professors in Jason Phang University(New York University)