12 citations · 13 across the 10 of their papers we have counts for
4 papers · 1 filter
Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation
Yuxuan Jiang, Runchao Li, Shubhashis Roy Dipta +2
While recent work in Reinforcement Learning with Verifiable Rewards (RLVR) has shown that a small subset of critical tokens disproportionately drives reasoning gains, an analogous…
Bridging Reasoning Trajectories in On-Policy Distillation via Near-Future Guidance
Yuxuan Jiang, Francis Ferraro
On-Policy Distillation (OPD) improves large language model reasoning by training a student model on trajectories sampled from its own policy under teacher supervision. Although OPD…
DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning Models
Yuxuan Jiang, Dawei Li, Francis Ferraro
While Large Reasoning Models (LRMs) have demonstrated success in complex reasoning tasks through long chain-of-thought (CoT) reasoning, their inference often involves excessively v…
Beyond Math: Stories as a Testbed for Memorization-Constrained Reasoning in LLMs
Yuxuan Jiang, Francis Ferraro
Recently, Large Language Models (LLMs) have shown impressive performance in character understanding tasks, such as analyzing the roles, personalities, and relationships of fictiona…