Author

V. Verma

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#artificial intelligence Preprint Oct 2026

Function-Space Temporal Self-Distillation for Policy Optimization

Reinforcement Learning with Verifiable Rewards (RLVR) improves reasoning in language models, but scalar outcomes provide coarse supervision over response trajectories. Self-distillation offers denser token-level guidance by comparing an unassisted policy with a feedback-informed self-teacher, yet the teacher evolves wi...

Aryan Das, Arnab Bhattacharya, Vinay Kumar Verma · 0 citations

Jul 2026

Source-Free Controlled Adaptation of Teachers for Continual Test-Time Adaptation

This work proposes a novel controlled teacher adaptation methodology that dynamically sets a proper momentum value depending on the quality of the incoming data and performs extensive experiments to demonstrate that this approach outperforms different state-of-the-art adaptation frameworks, many of which require access...

Anurag Roy, Riddhiman Moulick, V. Verma et al. · arXiv.org · 0 citations