Machine Learning Algorithms & Natural Language Processing

Aug 26, 2026 · Artificial Intelligence

From Experience to Ability: How Agentic Skills Form, Internalize, and Self‑Evolve

In this MLNLP Academic Talk, Tsinghua PhD candidate Wu Jinyang presents his research on Agentic Skill formation, internalization, and continual self‑evolution, detailing three projects—ThoughtICR, TemplateRL, and SEED—that connect contextual reasoning, reinforcement learning, and autonomous skill growth.