Hritik Bansal

According to our database1, Hritik Bansal authored at least 21 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models.
CoRR, 2024

2023
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting.
CoRR, 2023

VideoCon: Robust Video-Language Alignment via Contrast Captions.
CoRR, 2023

MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models.
CoRR, 2023

Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models.
CoRR, 2023

VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use.
CoRR, 2023

Leaving Reality to Imagination: Robust Classification via Generated Datasets.
CoRR, 2023

ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
CyCLIP: Cyclic Contrastive Language-Image Pretraining.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Systematic Generalization for Predictive Control in Multivariate Time Series.
CoRR, 2021

Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?
CoRR, 2020

An improved sex-specific and age-dependent classification model for Parkinson's diagnosis using handwriting measurement.
Comput. Methods Programs Biomed., 2020

How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

2019
Gender specific and Age dependent classification model for improved diagnosis in Parkinson's disease.
CoRR, 2019


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