Mohit Bansal

Mohit Bansal

University of North Carolina at Chapel Hill

H-index: 68

North America-United States

About Mohit Bansal

Mohit Bansal, With an exceptional h-index of 68 and a recent h-index of 66 (since 2020), a distinguished researcher at University of North Carolina at Chapel Hill, specializes in the field of Natural Language Processing, Computer Vision, Machine Learning, Multimodal AI.

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

The Unreasonable Effectiveness of Easy Training Data for Hard Tasks

CREMA: Multimodal Compositional Video Reasoning via Efficient Modular Adaptation and Fusion

Rethinking Machine Unlearning for Large Language Models

Hierarchical and Dynamic Prompt Compression for Efficient Zero-shot API Usage

DAM: Dynamic Adapter Merging for Continual Video QA Learning

TrustLLM: Trustworthiness in Large Language Models

VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation

Visual Programming for Step-by-Step Text-to-Image Generation and Evaluation

Mohit Bansal Information

University

Position

Professor Computer Science

Citations(all)

21086

Citations(since 2020)

18743

Cited By

6797

hIndex(all)

68

hIndex(since 2020)

66

i10Index(all)

184

i10Index(since 2020)

177

Email

University Profile Page

University of North Carolina at Chapel Hill

Google Scholar

View Google Scholar Profile

Mohit Bansal Skills & Research Interests

Natural Language Processing

Computer Vision

Machine Learning

Multimodal AI

Top articles of Mohit Bansal

Title

Journal

Author(s)

Publication Date

The Unreasonable Effectiveness of Easy Training Data for Hard Tasks

arXiv preprint arXiv:2401.06751

Peter Hase

Mohit Bansal

Peter Clark

Sarah Wiegreffe

2024/1/12

CREMA: Multimodal Compositional Video Reasoning via Efficient Modular Adaptation and Fusion

arXiv preprint arXiv:2402.05889

Shoubin Yu*

Jaehong Yoon*

Mohit Bansal

2024/2/8

Rethinking Machine Unlearning for Large Language Models

arXiv preprint arXiv:2402.08787

Sijia Liu

Yuanshun Yao

Jinghan Jia

Stephen Casper

Nathalie Baracaldo

...

2024/2/13

Hierarchical and Dynamic Prompt Compression for Efficient Zero-shot API Usage

Yichen Jiang

Marco Vecchio

Mohit Bansal

Anders Johannsen

2024/3

DAM: Dynamic Adapter Merging for Continual Video QA Learning

arXiv preprint arXiv:2403.08755

Feng Cheng

Ziyang Wang

Yi-Lin Sung

Yan-Bo Lin

Mohit Bansal

...

2024/3/13

TrustLLM: Trustworthiness in Large Language Models

arXiv preprint arXiv:2401.05561

Lichao Sun

Yue Huang

Haoran Wang

Siyuan Wu

Qihui Zhang

...

2024/1/10

VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation

AAAI 2024

Jialu Li

Aishwarya Padmakumar

Gaurav Sukhatme

Mohit Bansal

2024/2/5

Visual Programming for Step-by-Step Text-to-Image Generation and Evaluation

Advances in Neural Information Processing Systems

Jaemin Cho

Abhay Zala

Mohit Bansal

2024/2/13

NewsQs: Multi-Source Question Generation for the Inquiring Mind

arXiv preprint arXiv:2402.18479

Alyssa Hwang

Kalpit Dixit

Miguel Ballesteros

Yassine Benajiba

Vittorio Castelli

...

2024/2/28

Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model

arXiv preprint arXiv:2404.09967

Han Lin

Jaemin Cho

Abhay Zala

Mohit Bansal

2024/4/15

SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data

arXiv preprint arXiv:2403.06952

Jialu Li

Jaemin Cho

Yi-Lin Sung

Jaehong Yoon

Mohit Bansal

2024/3/11

The AI Institute for Engaged Learning

AI Magazine

James Lester

Mohit Bansal

Gautam Biswas

Cindy Hmelo‐Silver

Jeremy Roschelle

...

2024

MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models

arXiv preprint arXiv:2402.01620

Justin Chih-Yao Chen

Swarnadeep Saha

Elias Stengel-Eskin

Mohit Bansal

2024/2/2

Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization

Swarnadeep Saha

Peter Hase

Mohit Bansal

2023/11/2

Evaluating Very Long-Term Conversational Memory of LLM Agents

arXiv preprint arXiv:2402.17753

Adyasha Maharana

Dong-Ho Lee

Sergey Tulyakov

Mohit Bansal

Francesco Barbieri

...

2024/2/27

Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts

arXiv preprint arXiv:2404.00741

Qin Liu

Jaemin Cho

Mohit Bansal

Marc Niethammer

2024/3/31

ICLR 2024 Workshop on Reliable and Responsible Foundation Models

Mohit Bansal

Zhun Deng

Chelsea Finn

Pavel Izmailov

He He

...

2024/3/8

ReGAL: Refactoring Programs to Discover Generalizable Abstractions

arXiv preprint arXiv:2401.16467

Elias Stengel-Eskin*

Archiki Prasad*

Mohit Bansal

2024/1/29

Ties-merging: Resolving interference when merging models

Advances in Neural Information Processing Systems

Prateek Yadav

Derek Tam

Leshem Choshen

Colin A Raffel

Mohit Bansal

2024/2/13

Soft Self-Consistency Improves Language Model Agents

arXiv preprint arXiv:2402.13212

Han Wang

Archiki Prasad

Elias Stengel-Eskin

Mohit Bansal

2024/2/20

See List of Professors in Mohit Bansal University(University of North Carolina at Chapel Hill)

Co-Authors

H-index: 67
Heng Ji

Heng Ji

University of Illinois at Urbana-Champaign

H-index: 54
Colin Raffel

Colin Raffel

University of North Carolina at Chapel Hill

H-index: 54
Tamara L Berg

Tamara L Berg

University of North Carolina at Chapel Hill

H-index: 51
Karen Livescu

Karen Livescu

Toyota Technological Institute

H-index: 46
Kevin Gimpel

Kevin Gimpel

Toyota Technological Institute

H-index: 37
Matthew R. Walter

Matthew R. Walter

Toyota Technological Institute

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