CV

Education

Work experience

Honors and Awards

Publications

Shrestha, K., Gupta, A., Dukkipati, H., Shi, Z., & Matarić, M. (2026, July) Can Large Language Models Infer Human Actions and Motives? Evaluation in Social Prediction and Inspection Games” in Findings of the Association for Computational Linguistics (ACL) Conference, San Diego, CA, July 2-7, 2026. (18% Acceptance Rate to Findings)

Kwon, D.</sup>, Shrestha, K.*, Han, B., Lin, S., Hale, J., Gratch, J., Matarić, M. & Lucas, G. (2026, January). Can LLMs Truly Embody Human Personality? Analyzing AI and Human Behavior Alignment in Dispute Resolution. AAAI 2026, Special Track on AI for Social Impact. *(24.1%. Acceptance Rate) *Equal Contribution

Kwon, D., Shrestha, K., Han, B., Lee, E. H., & Lucas, G. (2025, November). Evaluating Behavioral Alignment in Conflict Dialogue: A Multi-Dimensional Comparison of LLM Agents and Humans. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (pp. 16377-16391). (22.16% Acceptance Rate)

Han, B., Kwon, D., Lin, S., Shrestha, K., & Gratch, J. (2025, September). Can LLMs Generate Behaviors for Embodied Virtual Agents Based on Personality Traits?. In Proceedings of the 25th ACM International Conference on Intelligent Virtual Agents (pp. 1-10).

Shrestha, K., Dukkipati, H., Hulyalkar, A., Penamante, K., Samanta, A., & Matarić, M. (2025, May). Exploring Socially Assistive Peer Mediation Robots for Teaching Conflict Resolution to Elementary School Students. In Proceedings of the AAAI Symposium Series (Vol. 5, No. 1, pp. 405-414).

Kian, M.</sup>, Shrestha, K*., Fischer, K., Zhu, X., Ong, J., Trehan, A., … & Mataric, M. (2025, April). Using Linguistic Entrainment to Evaluate Large Language Models for Use in Cognitive Behavioral Therapy. In Findings of the Association for Computational Linguistics: NAACL 2025 (pp. 7724-7743). *(37% Acceptance Rate) *Equal Contribution

Shi, Z., Zhao, E., Dennler, N., Wang, J., Xu, X., Shrestha, K., … & Matarić, M. (2025). HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction. arXiv preprint arXiv:2506.20566.

Kian, M., Zong, M., Fischer, K., Velentza, A. M., Singh, A., Shrestha, K., … & Matarić, M. (2025). Engagement and Disclosures in LLM-Powered Cognitive Behavioral Therapy Exercises: A Factorial Design Comparing the Influence of a Robot vs. Chatbot Over Time. arXiv preprint arXiv:2506.17831.

Shi, Z., Landrum, E., O’Connell, A., Kian, M., Pinto-Alva, L., Shrestha, K., … & Matarić, M. J. (2024, May). How can large language models enable better socially assistive human-robot interaction: a brief survey. In Proceedings of the AAAI Symposium Series (Vol. 3, No. 1, pp. 401-404).

Authored Awarded Grants