Hannaneh Hajishirzi

Hannaneh Hajishirzi

University of Washington

H-index: 63

North America-United States

About Hannaneh Hajishirzi

Hannaneh Hajishirzi, With an exceptional h-index of 63 and a recent h-index of 60 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Natural Language Processing, Deep Learning, Artificial Intelligence.

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

Rewardbench: Evaluating reward models for language modeling

Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens

Fine-grained human feedback gives better rewards for language model training

Reliable, adaptable, and attributable language models with retrieval

Apt: Adaptive pruning and tuning pretrained language models for efficient training and inference

Datacomp: In search of the next generation of multimodal datasets

Set the Clock: Temporal Alignment of Pretrained Language Models

Fine-grained hallucination detection and editing for language models

Hannaneh Hajishirzi Information

University

Position

Assistant Professor at ; AI fellow at AI2

Citations(all)

18438

Citations(since 2020)

16979

Cited By

4899

hIndex(all)

63

hIndex(since 2020)

60

i10Index(all)

130

i10Index(since 2020)

122

Email

University Profile Page

University of Washington

Google Scholar

View Google Scholar Profile

Hannaneh Hajishirzi Skills & Research Interests

Natural Language Processing

Deep Learning

Artificial Intelligence

Top articles of Hannaneh Hajishirzi

Title

Journal

Author(s)

Publication Date

Rewardbench: Evaluating reward models for language modeling

arXiv preprint arXiv:2403.13787

Nathan Lambert

Valentina Pyatkin

Jacob Morrison

LJ Miranda

Bill Yuchen Lin

...

2024/3/20

Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens

arXiv preprint arXiv:2401.17377

Jiacheng Liu

Sewon Min

Luke Zettlemoyer

Yejin Choi

Hannaneh Hajishirzi

2024/1/30

Fine-grained human feedback gives better rewards for language model training

Advances in Neural Information Processing Systems

Zeqiu Wu

Yushi Hu

Weijia Shi

Nouha Dziri

Alane Suhr

...

2024/2/13

Reliable, adaptable, and attributable language models with retrieval

arXiv preprint arXiv:2403.03187

Akari Asai

Zexuan Zhong

Danqi Chen

Pang Wei Koh

Luke Zettlemoyer

...

2024/3/5

Apt: Adaptive pruning and tuning pretrained language models for efficient training and inference

arXiv preprint arXiv:2401.12200

Bowen Zhao

Hannaneh Hajishirzi

Qingqing Cao

2024/1/22

Datacomp: In search of the next generation of multimodal datasets

Advances in Neural Information Processing Systems

Samir Yitzhak Gadre

Gabriel Ilharco

Alex Fang

Jonathan Hayase

Georgios Smyrnis

...

2024/2/13

Set the Clock: Temporal Alignment of Pretrained Language Models

arXiv preprint arXiv:2402.16797

Bowen Zhao

Zander Brumbaugh

Yizhong Wang

Hannaneh Hajishirzi

Noah A Smith

2024/2/26

Fine-grained hallucination detection and editing for language models

arXiv preprint arXiv:2401.06855

Abhika Mishra

Akari Asai

Vidhisha Balachandran

Yizhong Wang

Graham Neubig

...

2024/1/12

Do Membership Inference Attacks Work on Large Language Models?

arXiv preprint arXiv:2402.07841

Michael Duan

Anshuman Suri

Niloofar Mireshghallah

Sewon Min

Weijia Shi

...

2024/2/12

Data Engineering for Scaling Language Models to 128K Context

arXiv preprint arXiv:2402.10171

Yao Fu

Rameswar Panda

Xinyao Niu

Xiang Yue

Hannaneh Hajishirzi

...

2024/2/15

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

arXiv preprint arXiv:2404.07972

Tianbao Xie

Danyang Zhang

Jixuan Chen

Xiaochuan Li

Siheng Zhao

...

2024/4/11

Olmo: Accelerating the science of language models

arXiv preprint arXiv:2402.00838

Dirk Groeneveld

Iz Beltagy

Pete Walsh

Akshita Bhagia

Rodney Kinney

...

2024/2/1

GenEval: An object-focused framework for evaluating text-to-image alignment

arXiv preprint arXiv:2310.11513

Dhruba Ghosh

Hanna Hajishirzi

Ludwig Schmidt

2023/10/17

Getting it Right: Improving Spatial Consistency in Text-to-Image Models

arXiv preprint arXiv:2404.01197

Agneet Chatterjee

Gabriela Ben Melech Stan

Estelle Aflalo

Sayak Paul

Dhruba Ghosh

...

2024/4/1

Dolma: An Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

arXiv preprint arXiv:2402.00159

Luca Soldaini

Rodney Kinney

Akshita Bhagia

Dustin Schwenk

David Atkinson

...

2024/1/31

How far can camels go? exploring the state of instruction tuning on open resources

Advances in Neural Information Processing Systems

Yizhong Wang

Hamish Ivison

Pradeep Dasigi

Jack Hessel

Tushar Khot

...

2024/2/13

Art: Automatic multi-step reasoning and tool-use for large language models

arXiv preprint arXiv:2303.09014

Bhargavi Paranjape

Scott Lundberg

Sameer Singh

Hannaneh Hajishirzi

Luke Zettlemoyer

...

2023/3/16

Silo language models: Isolating legal risk in a nonparametric datastore

arXiv preprint arXiv:2308.04430

Sewon Min

Suchin Gururangan

Eric Wallace

Hannaneh Hajishirzi

Noah A Smith

...

2023/8/8

Buffet: Benchmarking large language models for few-shot cross-lingual transfer

Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

Akari Asai

Sneha Kudugunta

Xinyan Velocity Yu

Terra Blevins

Hila Gonen

...

2024

Efficiency Pentathlon: A Standardized Benchmark for Efficiency Evaluation

Hao Peng

Qingqing Cao

Jesse Dodge

Matthew E Peters

Jared Fernandez

...

2023/10/13

See List of Professors in Hannaneh Hajishirzi University(University of Washington)

Co-Authors

H-index: 101
Daniel Weld

Daniel Weld

University of Washington

H-index: 100
Luke Zettlemoyer

Luke Zettlemoyer

University of Washington

H-index: 95
Yejin Choi

Yejin Choi

University of Washington

H-index: 72
Mari Ostendorf

Mari Ostendorf

University of Washington

H-index: 38
Iolanda Leite

Iolanda Leite

Kungliga Tekniska högskolan

H-index: 28
Eyal Amir

Eyal Amir

University of Illinois at Urbana-Champaign

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