Daniel Fried

Daniel Fried

University of California, Berkeley

H-index: 26

North America-United States

About Daniel Fried

Daniel Fried, With an exceptional h-index of 26 and a recent h-index of 25 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Natural Language Processing, Machine Learning.

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

Proceedings of the Third Workshop on Understanding Implicit and Underspecified Language

Repetition Improves Language Model Embeddings

Generating images with multimodal language models

Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community

Visualwebarena: Evaluating multimodal agents on realistic visual web tasks

CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks

TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks

What Are Tools Anyway? A Survey from the Language Model Perspective

Daniel Fried Information

University

Position

___

Citations(all)

2523

Citations(since 2020)

2198

Cited By

747

hIndex(all)

26

hIndex(since 2020)

25

i10Index(all)

35

i10Index(since 2020)

32

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Daniel Fried Skills & Research Interests

Natural Language Processing

Machine Learning

Top articles of Daniel Fried

Title

Journal

Author(s)

Publication Date

Proceedings of the Third Workshop on Understanding Implicit and Underspecified Language

Valentina Pyatkin

Daniel Fried

Elias Stengel-Eskin

Alisa Liu

Sandro Pezzelle

2024/3

Repetition Improves Language Model Embeddings

arXiv preprint arXiv:2402.15449

Jacob Mitchell Springer

Suhas Kotha

Daniel Fried

Graham Neubig

Aditi Raghunathan

2024/2/23

Generating images with multimodal language models

Advances in Neural Information Processing Systems

Jing Yu Koh

Daniel Fried

Russ R Salakhutdinov

2024/2/13

Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community

arXiv preprint arXiv:2404.01158

Casey Kennington

Malihe Alikhani

Heather Pon-Barry

Katherine Atwell

Yonatan Bisk

...

2024/4/1

Visualwebarena: Evaluating multimodal agents on realistic visual web tasks

arXiv preprint arXiv:2401.13649

Jing Yu Koh

Robert Lo

Lawrence Jang

Vikram Duvvur

Ming Chong Lim

...

2024/1/24

CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks

arXiv preprint arXiv:2404.00566

Yiqing Xie

Alex Xie

Divyanshu Sheth

Pengfei Liu

Daniel Fried

...

2024/3/31

TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks

arXiv preprint arXiv:2401.12869

Zhiruo Wang

Daniel Fried

Graham Neubig

2024/1/23

What Are Tools Anyway? A Survey from the Language Model Perspective

arXiv preprint arXiv:2403.15452

Zhiruo Wang

Zhoujun Cheng

Hao Zhu

Daniel Fried

Graham Neubig

2024/3/18

SantaCoder: don't reach for the stars!

arXiv preprint arXiv:2301.03988

Loubna Ben Allal

Raymond Li

Denis Kocetkov

Chenghao Mou

Christopher Akiki

...

2023/1/9

Grounding language models to images for multimodal inputs and outputs

Jing Yu Koh

Ruslan Salakhutdinov

Daniel Fried

2023/7/3

Symbolic Planning and Code Generation for Grounded Dialogue

EMNLP 2023

Justin T Chiu

Wenting Zhao

Derek Chen

Saujas Vaduguru

Alexander M Rush

...

2023/10/26

AutoReply: Detecting Nonsense in Dialogue with Discriminative Replies

Weiyan Shi

Emily Dinan

Adi Renduchintala

Daniel Fried

Athul Jacob

...

2023/12

Coder reviewer reranking for code generation

Tianyi Zhang

Tao Yu

Tatsunori Hashimoto

Mike Lewis

Wen-tau Yih

...

2023/7/3

API-Assisted Code Generation for Question Answering on Varied Table Structures

arXiv preprint arXiv:2310.14687

Yihan Cao

Shuyi Chen

Ryan Liu

Zhiruo Wang

Daniel Fried

2023/10/23

Asking More Informative Questions for Grounded Retrieval

NAACL 2024

Sedrick Keh

Justin T Chiu

Daniel Fried

2023/11/14

DS-1000: A natural and reliable benchmark for data science code generation

Yuhang Lai

Chengxi Li

Yiming Wang

Tianyi Zhang

Ruiqi Zhong

...

2023/7/3

Sotopia: Interactive evaluation for social intelligence in language agents

arXiv preprint arXiv:2310.11667

Xuhui Zhou

Hao Zhu

Leena Mathur

Ruohong Zhang

Haofei Yu

...

2023/10/18

Generating Pragmatic Examples to Train Neural Program Synthesizers

arXiv preprint arXiv:2311.05740

Saujas Vaduguru

Daniel Fried

Yewen Pu

2023/11/9

Pragmatic inference with a CLIP listener for contrastive captioning

arXiv preprint arXiv:2306.08818

Jiefu Ou

Benno Krojer

Daniel Fried

2023/6/15

Amortizing Pragmatic Program Synthesis with Rankings

arXiv preprint arXiv:2309.03225

Yewen Pu

Saujas Vaduguru

Priyan Vaithilingam

Elena Glassman

Daniel Fried

2023/9/1

See List of Professors in Daniel Fried University(University of California, Berkeley)

Co-Authors

H-index: 161
Trevor Darrell

Trevor Darrell

University of California, Berkeley

H-index: 115
Ruslan Salakhutdinov

Ruslan Salakhutdinov

Carnegie Mellon University

H-index: 100
Luke Zettlemoyer

Luke Zettlemoyer

University of Washington

H-index: 89
Louis-Philippe Morency

Louis-Philippe Morency

Carnegie Mellon University

H-index: 81
Kate Saenko

Kate Saenko

Boston University

H-index: 43
Jacob Andreas

Jacob Andreas

Massachusetts Institute of Technology

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