Author

Arnab Bhattacharya

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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

Open access Aug 2026

Using Large Language Models in Formalizing Classical Linguistic Descriptions: A Case Study in Middle Indo-Aryan Sound Change

We present a systematic evaluation of Large Language Models (LLMs) in translating classical descriptions of phonological and morphophonological change from Old Indo-Aryan (Sanskrit) to Middle Indo-Aryan (MIA) into the standard notation of modern historical linguistics. Drawing on Vararuci’s Prākṛta Prakāśa (c. 4th ce...

V.S.D.S.Mahesh Akavarapu, Chinmay Dharurkar, Johannes Dellert et al. · Computational Linguistics · 0 citations