Hritik Bansal
According to our database1,
Hritik Bansal
authored at least 32 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
CoRR, 2024
Towards a Holistic Framework for Multimodal Large Language Models in Three-dimensional Brain CT Report Generation.
CoRR, 2024
CoRR, 2024
GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling.
CoRR, 2024
CoRR, 2024
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization.
CoRR, 2024
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting.
CoRR, 2023
MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models.
CoRR, 2023
VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use.
CoRR, 2023
CoRR, 2023
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
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
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
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
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