Ashwath Vaithinathan Aravindan

According to our database, Ashwath Vaithinathan Aravindan authored at least 7 papers between 2025 and 2026.

Collaborative distances:

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

2026

Second Guess: Detecting Uncertainty Through Abstention and Answer Stability in Small Language Models.

Ashwath Vaithinathan Aravindan, Mayank Kejriwal

CoRR, May, 2026

Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations.

Ashwath Vaithinathan Aravindan, Mayank Kejriwal

CoRR, March, 2026

Rewarding Intellectual Humility Learning When Not To Answer In Large Language Models.

Abha Jha, Akanksha Mahajan, Ashwath Vaithinathan Aravindan, Praveen Saravanan, Sai Sailaja Policharla, Sonal Chaturbhuj Gehlot

CoRR, January, 2026

2025

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation.

Ashwath Vaithinathan Aravindan, Abha Jha, Matthew Salaway, Atharva Sandeep Bhide, Duygu Nur Yaldiz

CoRR, August, 2025

Code-Driven Planning in Grid Worlds with Large Language Models.

Ashwath Vaithinathan Aravindan, Zhisheng Tang, Mayank Kejriwal

CoRR, May, 2025

Backdoor Defense in Diffusion Models via Spatial Attention Unlearning.

Abha Jha, Ashwath Vaithinathan Aravindan, Matthew Salaway, Atharva Sandeep Bhide, Duygu Nur Yaldiz

CoRR, April, 2025

Do VLMs Have Bad Eyes? Diagnosing Compositional Failures via Mechanistic Interpretability.

Ashwath Vaithinathan Aravindan, Abha Jha, Mihir Kulkarni

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025