Shridhar, Kumar

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

Distilling Reasoning Capabilities into Smaller Language Models

Shridhar, K., Stolfo, A., & Sachan, M. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 79

Humanity's Last Exam

Phan, L., Gatti, A., Han, Z., Li, N., Hu, J., Zhang, H., Zhang, C. B. C., Shaaban, M., Ling, J., Shi, S., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 65

Calibrating Large Language Models with Sample Consistency

Lyu, Q., Shridhar, K., Malaviya, C., Zhang, L., Elazar, Y., Tandon, N., Apidianaki, M., Sachan, M., & Callison-Burch, C. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 21

A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models

Stolfo, A., Jin, Z., Shridhar, K., Schoelkopf, B., & Sachan, M. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesLogic, Reasoning, and Knowledge

Cited by 17

The ART of LLM Refinement: Ask, Refine, and Trust

Shridhar, K., Sinha, K., Cohen, A., Wang, T., Yu, P., Pasunuru, R., Sachan, M., Weston, J., & Celikyilmaz, A. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution

Zhuo, T. Y., Jin, X., Liu, H., Jiang, J., Liu, T., Gong, C., Bishnoi, B., Mishra, V., Suppa, M., Ziems, N., et al. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0