Hritik Bansal

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 29

Top Topics

Multivariate Time Series

Predictive Control

Weather Forecasting

Top Venues

Publications

Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, Nanyun Peng
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models. CoRR (2024)
Hritik Bansal, Nishad Singhi, Yu Yang, Fan Yin, Aditya Grover, Kai-Wei Chang
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. CoRR (2023)
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models. CoRR (2023)
Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. CoRR (2023)
Tung Nguyen, Jason Jewik, Hritik Bansal, Prakhar Sharma, Aditya Grover
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling. NeurIPS (2023)
Tung Nguyen, Jason Jewik, Hritik Bansal, Prakhar Sharma, Aditya Grover
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling. CoRR (2023)
Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Sandeep Madireddy, Romit Maulik, Veerabhadra Kotamarthi, Ian T. Foster, Aditya Grover
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting. CoRR (2023)
Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover
VideoCon: Robust Video-Language Alignment via Contrast Captions. CoRR (2023)
Hritik Bansal, John Dang, Aditya Grover
Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models. CoRR (2023)
Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt
VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models. NeurIPS (2023)
Hritik Bansal, Fan Yin, Nishad Singhi, Aditya Grover, Yu Yang, Kai-Wei Chang
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. ICCV (2023)
Hritik Bansal, Aditya Grover
Leaving Reality to Imagination: Robust Classification via Generated Datasets. CoRR (2023)
Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale. ACL (1) (2023)
Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. EMNLP (2023)
Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt
VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use. CoRR (2023)
Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover
CyCLIP: Cyclic Contrastive Language-Image Pretraining. CoRR (2022)
Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? EMNLP (2022)
Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover
CyCLIP: Cyclic Contrastive Language-Image Pretraining. NeurIPS (2022)
Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models. CoRR (2022)
Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? CoRR (2022)
Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models. EMNLP (2022)
Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale. CoRR (2022)
Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh A. P.
Systematic Generalization for Predictive Control in Multivariate Time Series. CoRR (2021)
Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP
Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models. IJCNN (2021)
Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? ACL (student) (2020)
Ujjwal Gupta, Hritik Bansal, Deepak Joshi
An improved sex-specific and age-dependent classification model for Parkinson's diagnosis using handwriting measurement. Comput. Methods Programs Biomed. 189 (2020)
Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal
Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones? CoRR (2020)
Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? CoRR (2020)
Ujjwal Gupta, Hritik Bansal, Deepak Joshi
Gender specific and Age dependent classification model for improved diagnosis in Parkinson's disease. CoRR (2019)