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Atula Tejaswi

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#machine learning Preprint Oct 2026

INTACT: Inducing Latent Reasoning on a Frozen Backbone

Latent reasoning replaces natural-language chains of thought with compact continuous"soft-token"representations, reducing the number of intermediate tokens that must be decoded autoregressively. We use a small external encoder to induce latent reasoning in a frozen backbone model. The encoder iteratively maps the backb...

Kutay Tire, Atula Tejaswi, Haris Vikalo et al. · 0 citations
Jul 2026

Reward-Gated On-Policy Distillation

RG-OPD bridges sparse verifier rewards and dense teacher logits, preserving token-level supervision while filtering misleading teacher signals, and produces stronger distilled students, outperforming both vanilla reverse-KL distillation and the recent TSD-KD baseline.

Mohammad Sadegh Akhondzadeh, Vijay Lingam, Atula Tejaswi et al. · 4 citations · ⚡1

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