Author

Shan-Chan Wu

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#artificial intelligence Preprint Sep 2026

AdviSD: Learning to Advise Frontier LLMs via Targeted Multi-Turn Self-Distillation

A small trainable advisor can steer a frozen language-model executor using natural-language advice. In addition to learning from task rewards, the advisor can use feedback from completed interactions to improve its advice. However, a plausible correction need not change execution, yet learning from such corrections can...

Rishabh Agrawal, He-Jie Cui, Sha-Sha Li et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Procedural Graphs: Self-Evolving Execution Structures for LLM Agents

The Procedural Graph is introduced: just as a knowledge graph organizes factual knowledge into (entity, relation, entity) triplets for what-is questions, a Procedural Graph organizes procedural knowledge into (procedure, relation, procedure) triplets for what-to-do questions.

Yu-Xing Lu, Yi-Cheng Chen, Shan-Chan Wu et al. · 0 citations