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He-Jie Cui

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#machine learning Preprint Oct 2026

Dynamic Harness Search: Building Multi-Agent Systems Per-Query via Prediction

Agent harnesses specify the roles, instructions, tools, and communication structure used to solve a task, and the right harness depends on the query. Because the value of each design choice is observable only through execution, tailoring a harness to each query has required either executing alternatives at inference ti...

Som Sagar, Sha-Sha Li, He-Jie Cui et al. · 0 citations
#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

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