Kailkhura, Bhavya

TrustLLM: Trustworthiness in Large Language Models

Huang, Y., Sun, L., Wang, H., Wu, S., Zhang, Q., Li, Y., Gao, C., Huang, Y., Lyu, W., Zhang, Y., et al. (2024) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 256

Mix-n-match: Ensemble and compositional methods for uncertainty calibration in deep learning

Zhang, J., Kailkhura, B., & Han, Y.-J. (2020) · Unpublished

Adversarial Robustness in Machine LearningMachine Learning and Data Classification

Cited by 86

Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network

Diffenderfer, J., & Kailkhura, B. (2021) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 39

GTBench: Uncovering the Strategic Reasoning Capabilities 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) · Advances in Neural Information Processing Systems 37

Artificial Intelligence in GamesGame Theory and Applications

Cited by 39

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Geiping, J., McLeish, S., Jain, N., Kirchenbauer, J., Singh, S., Bartoldson, B., Kailkhura, B., Bhatele, A., & Goldstein, T. (2025) · Advances in Neural Information Processing Systems 38

Topic ModelingExplainable Artificial Intelligence (XAI)

Cited by 10

Introducing v0.5 of the AI Safety Benchmark from MLCommons

Vidgen, B., Agrawal, A., Ahmed, A. M., Akinwande, V., Al-Nuaimi, N., Alfaraj, N., Alhajjar, E., Aroyo, L., Bavalatti, T., Bartolo, M., et al. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 5

Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts

Zheng, H., Zhou, Y., Bartoldson, B. R., Kailkhura, B., Lai, F., Zhao, J., & Chen, B. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

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

STAR-1: Safer Alignment of Reasoning LLMs with 1K Data

Wang, Z., Tu, H., Wang, Y., Wu, J., Liu, Y., Mei, J., Bartoldson, B. R., Kailkhura, B., & Xie, C. (2025) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 0