Author

Chun-Ji Lv

h-index 1 View on Semantic Scholar

We have 2 of 4 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Jul 2026

From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search

Multi-Agent Protocol Distillation (MAPD), a joint distillation and RL framework uses a structured, style-normalized protocol as an intermediate representation that generalizes robustly across diverse proprietary teachers while effectively mitigating the student policy from style drift and verbosity degeneration.

Junlin Liu, Jiangwang Chen, Zixin Song et al. · arXiv.org · 6 citations

Preprint Aug 2026

PCSD: Persistent Consistency for Self-Distillation in Agentic Reinforcement Learning

Persistent Consistency Self-Distillation (PCSD) is proposed, which derives token-level distillation weights from the local persistence of teacher-favoring signals, and combines adaptive windows with exponentially decayed aggregation to capture persistent relative teacher support.

Chunji Lv, Yangguang Wei, Junlin Liu et al. · 0 citations