Bansal, Hritik

Towards a holistic framework for multimodal LLM in 3D brain CT radiology report generation

Li, C.-Y., Chang, K.-J., Yang, C.-F., Wu, H.-Y., Chen, W., Bansal, H., Chen, L., Yang, Y.-P., Chen, Y.-C., Chen, S.-P., et al. (2025) · Nature Communications

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 75

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

Nguyen, T., Shah, R., Bansal, H., Arcomano, T., Maulik, R., Kotamarthi, V., Foster, I., Madireddy, S., & Grover, A. (2023) · arXiv

Meteorological Phenomena and SimulationsHydrological Forecasting Using AI

Cited by 45

BIG-Bench Extra Hard

Kazemi, M., Fatemi, B., Bansal, H., Palowitch, J., Anastasiou, C., Mehta, S. V., Jain, L. K., Aglietti, V., Jindal, D., Chen, P., et al. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 15

MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Lu, P., Bansal, H., Xia, T., Liu, J., Li, C., Hajishirzi, H., Cheng, H., Chang, K.-W., Galley, M., & Gao, J. (2023) · arXiv

Multimodal Machine Learning ApplicationsMathematics, Computing, and Information Processing

Cited by 12

VideoPhy: Evaluating Physical Commonsense for Video Generation

Bansal, H., Lin, Z., Xie, T., Zong, Z., Yarom, M., Bitton, Y., Jiang, C., Sun, Y., Chang, K.-W., & Grover, A. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 2

OpenThoughts: Data Recipes for Reasoning Models

Guha, E., Marten, R., Keh, S., Raoof, N., Smyrnis, G., Bansal, H., Nezhurina, M., Mercat, J., Vu, T., Sprague, Z., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 1