Hritik Bansal

About Hritik Bansal

Hritik Bansal, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Indian Institute of Technology Delhi, specializes in the field of Multimodal, Generative AI, LLMs.

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

ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models

Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation

Climatelearn: Benchmarking machine learning for weather and climate modeling

Visit-bench: A benchmark for vision-language instruction following inspired by real-world use

Dynosaur: A dynamic growth paradigm for instruction-tuning data curation

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting

Leaving reality to imagination: Robust classification via generated datasets

VideoCon: Robust video-language alignment via contrast captions

Hritik Bansal Information

University

Position

___

Citations(all)

292

Citations(since 2020)

291

Cited By

13

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Hritik Bansal Skills & Research Interests

Multimodal

Generative AI

LLMs

Top articles of Hritik Bansal

Title

Journal

Author(s)

Publication Date

ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models

arXiv preprint arXiv:2401.13311

Rohan Wadhawan

Hritik Bansal

Kai-Wei Chang

Nanyun Peng

2024/1/24

Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation

arXiv preprint arXiv:2404.01030

Yixin Wan

Arjun Subramonian

Anaelia Ovalle

Zongyu Lin

Ashima Suvarna

...

2024/4/1

Climatelearn: Benchmarking machine learning for weather and climate modeling

Advances in Neural Information Processing Systems

Tung Nguyen

Jason Jewik

Hritik Bansal

Prakhar Sharma

Aditya Grover

2024/2/13

Visit-bench: A benchmark for vision-language instruction following inspired by real-world use

NeurIPS 2023 - Dataset and Benchmark Track

Yonatan Bitton

Hritik Bansal

Jack Hessel

Rulin Shao

Wanrong Zhu

...

2023/8/12

Dynosaur: A dynamic growth paradigm for instruction-tuning data curation

EMNLP 2023

Da Yin

Xiao Liu

Fan Yin

Ming Zhong

Hritik Bansal

...

2023/5/23

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting

arXiv preprint arXiv:2312.03876

Tung Nguyen

Rohan Shah

Hritik Bansal

Troy Arcomano

Sandeep Madireddy

...

2023/12/6

Leaving reality to imagination: Robust classification via generated datasets

arXiv preprint arXiv:2302.02503

Hritik Bansal

Aditya Grover

2023/2/5

VideoCon: Robust video-language alignment via contrast captions

arXiv preprint arXiv:2311.10111

Hritik Bansal

Yonatan Bitton

Idan Szpektor

Kai-Wei Chang

Aditya Grover

2023/11/15

Cleanclip: Mitigating data poisoning attacks in multimodal contrastive learning

Hritik Bansal

Nishad Singhi

Yu Yang

Fan Yin

Aditya Grover

...

2023

MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

arXiv preprint arXiv:2310.02255

Pan Lu

Hritik Bansal

Tony Xia

Jiacheng Liu

Chunyuan Li

...

2023/10

Peering through preferences: Unraveling feedback acquisition for aligning large language models

arXiv preprint arXiv:2308.15812

Hritik Bansal

John Dang

Aditya Grover

2023/8/30

Cyclip: Cyclic contrastive language-image pretraining

Advances in Neural Information Processing Systems

Shashank Goel

Hritik Bansal

Sumit Bhatia

Ryan Rossi

Vishwa Vinay

...

2022/12/6

How well can text-to-image generative models understand ethical natural language interventions?

EMNLP 2022

Hritik Bansal*

Da Yin*

Masoud Monajatipoor

Kai-Wei Chang

2022/10/27

Geomlama: Geo-diverse commonsense probing on multilingual pre-trained language models

EMNLP 2022

Da Yin

Hritik Bansal

Masoud Monajatipoor

Liunian Harold Li

Kai-Wei Chang

2022/5/24

Rethinking the role of scale for in-context learning: An interpretability-based case study at 66 billion scale

arXiv preprint arXiv:2212.09095

Hritik Bansal

Karthik Gopalakrishnan

Saket Dingliwal

Sravan Bodapati

Katrin Kirchhoff

...

2022/12/18

Systematic generalization in neural networks-based multivariate time series forecasting models

Hritik Bansal

Gantavya Bhatt

Pankaj Malhotra

AP Prathosh

2021/7/18

An improved sex-specific and age-dependent classification model for Parkinson's diagnosis using handwriting measurement

Computer Methods and Programs in Biomedicine

Ujjwal Gupta

Hritik Bansal

Deepak Joshi

2019/12/28

How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?

arXiv preprint arXiv:2005.08199

Gantavya Bhatt

Hritik Bansal

Rishubh Singh

Sumeet Agarwal

2020/5/17

Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?

arXiv preprint arXiv:2010.04976

Hritik Bansal

Gantavya Bhatt

Sumeet Agarwal

2020/10/10

See List of Professors in Hritik Bansal University(Indian Institute of Technology Delhi)

Co-Authors

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