most citedLearning to Select In-Context Demonstration Preferred by Large Language Model

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.AIShow all

1 paper · 1 filter

cs.AI2026

ARISE: Adapting to Evolving Capability Gaps in Agentic Reinforcement Learning

Kun Feng, Yuchen Fang, Yiyang Tan +6

As a long-horizon agent improves through experience, previously observed weaknesses may recede while new limitations emerge, continually changing what it still needs to learn. Yet…