Chitta Baral

Chitta Baral

Arizona State University

H-index: 52

North America-United States

About Chitta Baral

Chitta Baral, With an exceptional h-index of 52 and a recent h-index of 31 (since 2020), a distinguished researcher at Arizona State University, specializes in the field of Knowledge Representation, NLP, Vision, Robotics, Integrated Systems.

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

-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space

On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation

“Len or index or count, anything but v1”: Predicting Variable Names in Decompilation Output with Transfer Learning

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

Conceptbed: Evaluating concept learning abilities of text-to-image diffusion models

Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts

Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models

Jailbreaking Proprietary Large Language Models using Word Substitution Cipher

Chitta Baral Information

University

Position

Professor of Computer Science

Citations(all)

13012

Citations(since 2020)

4717

Cited By

9075

hIndex(all)

52

hIndex(since 2020)

31

i10Index(all)

188

i10Index(since 2020)

87

Email

University Profile Page

Arizona State University

Google Scholar

View Google Scholar Profile

Chitta Baral Skills & Research Interests

Knowledge Representation

NLP

Vision

Robotics

Integrated Systems

Top articles of Chitta Baral

Title

Journal

Author(s)

Publication Date

-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space

arXiv preprint arXiv:2402.05195

Maitreya Patel

Sangmin Jung

Chitta Baral

Yezhou Yang

2024/2/7

On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation

arXiv preprint arXiv:2404.08540

Agneet Chatterjee

Tejas Gokhale

Chitta Baral

Yezhou Yang

2024/4/12

“Len or index or count, anything but v1”: Predicting Variable Names in Decompilation Output with Transfer Learning

Kuntal Kumar Pal

Ati Priya Bajaj

Pratyay Banerjee

Audrey Dutcher

Mutsumi Nakamura

...

2024/5

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

Conceptbed: Evaluating concept learning abilities of text-to-image diffusion models

Proceedings of the AAAI Conference on Artificial Intelligence

Maitreya Patel

Tejas Gokhale

Chitta Baral

Yezhou Yang

2024/3/24

Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts

arXiv preprint arXiv:2403.11092

Michael Saxon

Yiran Luo

Sharon Levy

Chitta Baral

Yezhou Yang

...

2024/3/17

Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models

arXiv preprint arXiv:2404.15522

Mihir Parmar

Nisarg Patel

Neeraj Varshney

Mutsumi Nakamura

Man Luo

...

2024/4/23

Jailbreaking Proprietary Large Language Models using Word Substitution Cipher

arXiv preprint arXiv:2402.10601

Divij Handa

Advait Chirmule

Bimal Gajera

Chitta Baral

2024/2/16

Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks

arXiv preprint arXiv:2404.14723

Amir Saeidi

Shivanshu Verma

Chitta Baral

2024/4/23

LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models

Mihir Parmar

Neeraj Varshney

Nisarg Patel

Man Luo

Santosh Mashetty

...

2023/10/13

LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference

Mutsumi Nakamura

Santosh Mashetty

Mihir Parmar

Neeraj Varshney

Chitta Baral

2023/12/1

Lexi: Self-supervised learning of the ui language

arXiv preprint arXiv:2301.10165

Pratyay Banerjee

Shweti Mahajan

Kushal Arora

Chitta Baral

Oriana Riva

2023/1/23

AISecKG: knowledge graph dataset for cybersecurity education

AAAI-MAKE 2023: Challenges Requiring the Combination of Machine Learning 2023

Garima Agrawal

Kuntal Pal

Yuli Deng

Huan Liu

Chitta Baral

2023/3

Dr. icl: Demonstration-retrieved in-context learning

arXiv preprint arXiv:2305.14128

Man Luo

Xin Xu

Zhuyun Dai

Panupong Pasupat

Mehran Kazemi

...

2023/5/23

NeurASP

Paulo Shakarian

Chitta Baral

Gerardo I Simari

Bowen Xi

Lahari Pokala

2023/7/3

Neuro Symbolic Learning with Differentiable Inductive Logic Programming

Paulo Shakarian

Chitta Baral

Gerardo I Simari

Bowen Xi

Lahari Pokala

2023/7/3

Towards logiglue: A brief survey and a benchmark for analyzing logical reasoning capabilities of language models

Man Luo

Shrinidhi Kumbhar

Ming Shen

Mihir Parmar

Neeraj Varshney

...

2023/10/2

Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics Domains

arXiv preprint arXiv:2309.00743

Divyanshu Raj

Chitta Baral

Nakul Gopalan

2023/9/1

Longbox: Evaluating transformers on long-sequence clinical tasks

arXiv preprint arXiv:2311.09564

Mihir Parmar

Aakanksha Naik

Himanshu Gupta

Disha Agrawal

Chitta Baral

2023/11/16

Why Sigmoid Transformation Helps Incorporate Logic Into Deep Learning: A Theoretical Explanation

Chitta Baral

Vladik Kreinovich

2023

See List of Professors in Chitta Baral University(Arizona State University)

Co-Authors

H-index: 49
Jorge Lobo

Jorge Lobo

Universidad Pompeu Fabra

H-index: 46
Graciela Gonzalez-Hernandez

Graciela Gonzalez-Hernandez

University of Pennsylvania

H-index: 44
Michael Gelfond

Michael Gelfond

Texas Tech University

H-index: 38
Enrico  Pontelli

Enrico Pontelli

New Mexico State University

H-index: 35
Tran Cao Son

Tran Cao Son

New Mexico State University

H-index: 34
Yezhou (YZ) Yang

Yezhou (YZ) Yang

Arizona State University

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