Bansal, Mohit

Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model

Lin, H., Cho, J., Zala, A., & Bansal, M. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 4

GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations

Duan, J., Zhang, R., Diffenderfer, J., Kailkhura, B., Sun, L., Stengel-Eskin, E., Bansal, M., Chen, T., & Xu, K. (2024) · arXiv

Artificial Intelligence in GamesTopic Modeling

Cited by 4

LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints

Palmeira Ferraz, T., Mehta, K., Lin, Y.-H., Chang, H.-S., Oraby, S., Liu, S., Subramanian, V., Chung, T., Bansal, M., & Peng, N. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingNatural Language Processing Techniques

Cited by 3

Unbounded: A Generative Infinite Game of Character Life Simulation

Li, J., Li, Y., Wadhwa, N., Pritch, Y., Jacobs, D. E., Rubinstein, M., Bansal, M., & Ruiz, N. (2024) · arXiv

Artificial Intelligence in GamesGenerative Adversarial Networks and Image Synthesis

Cited by 2

Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs?

Hase, P., Hofweber, T., Zhou, X., Stengel-Eskin, E., & Bansal, M. (2024) · arXiv

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 1

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Saha, S., Levy, O., Celikyilmaz, A., Bansal, M., Weston, J., & Li, X. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

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

ReGAL: Refactoring Programs to Discover Generalizable Abstractions

Stengel-Eskin, E., Prasad, A., & Bansal, M. (2024) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 1

Self-Consistency Preference Optimization

Prasad, A., Yuan, W., Pang, R. Y., Xu, J., Fazel-Zarandi, M., Bansal, M., Sukhbaatar, S., Weston, J., & Yu, J. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

Alignment Tipping Process: How Self-Evolution Pushes LLM Agents Off the Rails

Han, S., Xiong, K., Liu, J., Ye, X., Su, Y., Duan, W., Liu, X., Xie, C., Bansal, M., Ding, M., et al. (2025) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 0