Articles by Jason Phang

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GPT-4o System Card

25 October 2024 by Openai and others

Computation and Language, Artificial Intelligence

Tool Learning with Foundation Models

6 August 2024 by Yujia Qin and others at

University of York

Computation and Language, Artificial Intelligence

Large Language Models as Misleading Assistants in Conversation

16 July 2024 by Betty Hou and others

Computation and Language, Artificial Intelligence

Lessons from the Trenches on Reproducible Evaluation of Language Models

29 May 2024 by Stella Biderman and others at

University of York

Computation and Language

Investigating the Effectiveness of HyperTuning via Gisting

26 February 2024 by Jason Phang

Computation and Language

Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs

2 February 2024 by Angelica Chen and others

Computation and Language

Pretraining Language Models with Human Preferences

14 June 2023 by Tomasz Korbak and others

Computation and Language, Machine Learning

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

11 December 2022 by Bigscience Workshop and others

Computation and Language

HyperTuning: Toward Adapting Large Language Models without Back-propagation

22 November 2022 by Jason Phang and others

Computation and Language

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

8 November 2022 by Teven Scao and others

Computation and Language, Artificial Intelligence

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

19 October 2022 by Alicia Parrish and others at

New York University

Computation and Language

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

12 October 2022 by Jason Phang and others

Computation and Language

What Do NLP Researchers Believe? Results of the NLP Community Metasurvey

26 August 2022 by Julian Michael and others

Computation and Language, Artificial Intelligence

Investigating Efficiently Extending Transformers for Long Input Summarization

8 August 2022 by Jason Phang and others

Computation and Language

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

10 June 2022 by Aarohi Srivastava and others

Computation and Language, Artificial Intelligence

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

23 May 2022 by Alex Wang and others

Computation and Language, Artificial Intelligence

QuALITY: Question Answering with Long Input Texts, Yes!

11 May 2022 by Richard Yuanzhe Pang and others

Computation and Language

GPT-NeoX-20B: An Open-Source Autoregressive Language Model

14 April 2022 by Sid Black and others

Computation and Language

Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions

13 April 2022 by Alicia Parrish and others at

New York University

Computation and Language

BBQ: A Hand-Built Bias Benchmark for Question Answering

16 March 2022 by Alicia Parrish and others at

New York University

Computation and Language

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

16 November 2021 by Jason Phang and others at

University of York

Computation and Language

Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers

20 September 2021 by Jason Phang and others

Computation and Language

Comparing Test Sets with Item Response Theory

1 June 2021 by Clara Vania and others

Computation and Language

The Pile: An 800GB Dataset of Diverse Text for Language Modeling

31 December 2020 by Leo Gao and others

Computation and Language

Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability

19 October 2020 by Jason Phang and others

Computer Vision and Pattern Recognition

English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too

30 September 2020 by Jason Phang and others

Computation and Language

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

19 September 2020 by Nan Wu and others

Image and Video Processing, Computer Vision and Pattern Recognition

jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models

13 May 2020 by Yada Pruksachatkun and others

Computation and Language

Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?

9 May 2020 by Yada Pruksachatkun and others

Computation and Language

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

13 February 2020 by Yiqiu Shen and others

Computer Vision and Pattern Recognition, Machine Learning

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Computation and Language Machine Learning Computer Vision and Pattern Recognition Artificial Intelligence Image and Video Processing Computers and Society