Amin Banayeeanzade

According to our database, Amin Banayeeanzade authored at least 8 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Sampling More, Getting Less: Calibration is the Diversity Bottleneck in LLMs.

Amin Banayeeanzade, Qingchuan Yang, Dhruv Tarsadiya, Fatemeh Bahrani, Leonardo Blas, Alfy Samuel, Robin Jia, Meisam Razaviyayn, Sai Praneeth Karimireddy

CoRR, May, 2026

EPSVec: Efficient and Private Synthetic Data Generation via Dataset Vectors.

Amin Banayeeanzade, Qingchuan Yang, Deqing Fu, Spencer Hong, Erin Babinsky, Alfy Samuel, Anoop Kumar, Robin Jia, Sai Praneeth Karimireddy

CoRR, February, 2026

Sparks of Rationality: Do Reasoning LLMs Align with Human Judgment and Choice?

Ala N. Tak, Amin Banayeeanzade, Anahita Bolourani, Fatemeh Bahrani, Ashutosh Chaubey, Sai Praneeth Karimireddy, Norbert Schwarz, Jonathan Gratch

CoRR, January, 2026

Psychological Steering in LLMs: An Evaluation of Effectiveness and Trustworthiness.

Amin Banayeeanzade, Ala N. Tak, Fatemeh Bahrani, Anahita Bolourani, Leonardo Blas, Emilio Ferrara, Jonathan Gratch, Sai Praneeth Karimireddy

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

AutoFocus-IL: VLM-based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotations.

Litian Gong, Fatemeh Bahrani, Yutai Zhou, Amin Banayeeanzade, Jiachen Li, Erdem Biyik

CoRR, November, 2025

Hybrid Learners Do Not Forget: A Brain-Inspired Neuro-Symbolic Approach to Continual Learning.

Amin Banayeeanzade, Mohammad Rostami

CoRR, March, 2025

GABRIL: Gaze-Based Regularization for Mitigating Causal Confusion in Imitation Learning.

Amin Banayeeanzade, Fatemeh Bahrani, Yutai Zhou, Erdem Biyik

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Mechanistic Interpretability of Emotion Inference in Large Language Models.

Ala N. Tak, Amin Banayeeanzade, Anahita Bolourani, Mina Kian, Robin Jia, Jonathan Gratch

Proceedings of the Findings of the Association for Computational Linguistics, 2025