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cs.LG2026
CADENCE: Closing the Reasoning Gap via Coverage-Adaptive On-Policy Distillation
Satyam Kumar, Saurabh Jha
On-policy knowledge distillation transfers reasoning from large teachers to compact students, but existing approaches suffer three compounding failure modes: (i) cold-start collaps…
cs.LG2026
RAMP: Reinforcement Adaptive Mixed Precision Quantization for Efficient On Device LLM Inference
Arpit Singh Gautam, Saurabh Jha
Post training quantization is essential for deploying large language models (LLMs) on resource constrained hardware, yet state of the art methods enforce uniform bit widths across…