Robin Jia

Robin Jia

University of Southern California

H-index: 22

North America-United States

About Robin Jia

Robin Jia, With an exceptional h-index of 22 and a recent h-index of 22 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of natural language processing.

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

IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations

Proving membership in LLM pretraining data via data watermarks

Does VLN Pretraining Work with Nonsensical or Irrelevant Instructions?

Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models

SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples

Efficient End-to-End Visual Document Understanding with Rationale Distillation

How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench

Do Localization Methods Actually Localize Memorized Data in LLMs?

Robin Jia Information

University

Position

Facebook AI Research /

Citations(all)

7158

Citations(since 2020)

6747

Cited By

2455

hIndex(all)

22

hIndex(since 2020)

22

i10Index(all)

30

i10Index(since 2020)

29

Email

University Profile Page

University of Southern California

Google Scholar

View Google Scholar Profile

Robin Jia Skills & Research Interests

natural language processing

Top articles of Robin Jia

Title

Journal

Author(s)

Publication Date

IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations

arXiv preprint arXiv:2404.01266

Deqing Fu

Ghazal Khalighinejad

Ollie Liu

Bhuwan Dhingra

Dani Yogatama

...

2024/4/1

Proving membership in LLM pretraining data via data watermarks

arXiv preprint arXiv:2402.10892

Johnny Tian-Zheng Wei

Ryan Yixiang Wang

Robin Jia

2024/2/16

Does VLN Pretraining Work with Nonsensical or Irrelevant Instructions?

arXiv preprint arXiv:2311.17280

Wang Zhu

Ishika Singh

Yuan Huang

Robin Jia

Jesse Thomason

2023/11/28

Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models

arXiv preprint arXiv:2211.15718

Albert Xu

Xiang Ren

Robin Jia

2022/11/28

SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples

arXiv preprint arXiv:2305.07984

Deqing Fu

Ameya Godbole

Robin Jia

2023/5/13

Efficient End-to-End Visual Document Understanding with Rationale Distillation

arXiv preprint arXiv:2311.09612

Wang Zhu

Alekh Agarwal

Mandar Joshi

Robin Jia

Jesse Thomason

...

2023/11/16

How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench

arXiv preprint arXiv:2305.14947

Qinyuan Ye

Harvey Yiyun Fu

Xiang Ren

Robin Jia

2023/5/24

Do Localization Methods Actually Localize Memorized Data in LLMs?

arXiv preprint arXiv:2311.09060

Ting-Yun Chang

Jesse Thomason

Robin Jia

2023/11/15

Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering

arXiv preprint arXiv:2305.14901

Wang Zhu

Jesse Thomason

Robin Jia

2023/5/24

Estimating Large Language Model Capabilities without Labeled Test Data

arXiv preprint arXiv:2305.14802

Harvey Yiyun Fu

Qinyuan Ye

Albert Xu

Xiang Ren

Robin Jia

2023/5/24

Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Models

arXiv preprint arXiv:2310.17086

Deqing Fu

Tian-Qi Chen

Robin Jia

Vatsal Sharan

2023/10/26

Data Curation Alone Can Stabilize In-context Learning

Ting-Yun Chang

Robin Jia

2023/7

Operationalizing content moderation" accuracy''in the Digital Services Act

arXiv preprint arXiv:2305.09601

Johnny Tian-Zheng Wei

Frederike Zufall

Robin Jia

2023/5/16

Knowledge base question answering by case-based reasoning over subgraphs

Rajarshi Das

Ameya Godbole

Ankita Naik

Elliot Tower

Manzil Zaheer

...

2022/6/28

On Continual Model Refinement in Out-of-Distribution Data Streams

arXiv preprint arXiv:2205.02014

Bill Yuchen Lin

Sida Wang

Xi Victoria Lin

Robin Jia

Lin Xiao

...

2022/2

Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems

arXiv preprint arXiv:2210.15037

Wang Zhu

Jesse Thomason

Robin Jia

2022/10/26

Benchmarking Long-tail Generalization with Likelihood Splits

arXiv preprint arXiv:2210.06799

Ameya Godbole

Robin Jia

2022/10/13

Are Sample-Efficient NLP Models More Robust?

arXiv preprint arXiv:2210.06456

Nelson F Liu

Ananya Kumar

Percy Liang

Robin Jia

2022/10/12

Proceedings of the First Workshop on Dynamic Adversarial Data Collection

Max Bartolo

Hannah Kirk

Pedro Rodriguez

Katerina Margatina

Tristan Thrush

...

2022/7

On the Robustness of Reading Comprehension Models to Entity Renaming

to appear in Proc. of NAACL 2022

Jun Yan

Yang Xiao

Sagnik Mukherjee

Bill Yuchen Lin

Robin Jia

...

2021/10/16

See List of Professors in Robin Jia University(University of Southern California)

Co-Authors

H-index: 95
Percy Liang

Percy Liang

Stanford University

H-index: 35
Pranav Rajpurkar

Pranav Rajpurkar

Stanford University

H-index: 33
Danqi Chen

Danqi Chen

Princeton University

H-index: 30
He He

He He

New York University

H-index: 26
Minjoon Seo

Minjoon Seo

KAIST

H-index: 21
Aditi Raghunathan

Aditi Raghunathan

Stanford University

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