Shivchander Sudalairaj

Mitigating Premature Exploitation in Particle-based Monte Carlo for Inference-Time Scaling

CosyCPT: Coreness-Aware Synthetic Continued Pretraining

Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs

Preference Data Annotation with Guided Density Ratios