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Weinan Zhang

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Preprint Aug 2026

What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents

This work represents agentic data as a common factorized object $(E,q,\tau,v)$, comprising an environment specification, task signal, interaction realization, and optional verifier, and formulate generation as constrained distribution design through the Accuracy-Complexity-divErsity (ACE) lens.

Xing-Shan Zeng, Zishan Xu, Bo-Ju Zhang et al. · 2 citations
Preprint Aug 2026

SAGE: Self-Evolving Storyboard Skills via Attribution-Guided Rule Evolution

This work presents SAGE (Skill with Attribution-Guided Evolution), a deployed framework that learns, attributes, evolves, and routes directing knowledge from expert demonstrations, and releases PROSE, the first public dataset pairing screenplays with storyboards by professional directors across 68 episodes.

Mao-Lin Ran, Xiaoyan Lu, Jia-Qi Liu et al. · 0 citations
Jul 2026

IssueExec: A Test-Driven Approach for Localizing Software Engineering Issues

The proposed IssueExec bridges the semantic gap through domain-knowledge-enhanced test representations and filters noise via hierarchical trace analysis, which bridges the semantic gap through domain-knowledge-enhanced test representations and filters noise via hierarchical trace analysis.

Jiawei Liu, Yun Lin, Chenyan Liu et al. · 0 citations
Preprint Aug 2026

Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectories

This work introduces Harness-R1, the first method, to the authors' knowledge, that makes failure-conditioned, lifecycle-wide editing of an existing executable runtime a learned capability, and post-trains a dedicated harness engineer with online reinforcement learning so that its edits are optimized for the realized ta...

Shuai Shao, Kangning Zhang, Qingyao Li et al. · 10 citations · ⚡2
#small language model Preprint Aug 2026

SEAM: Shot Entity-Attribute Memory for Consistent Short-Drama Generation at Scale

A training-free, model-agnostic memory graph that repairs continuity entirely at the prompt-text layer by extracting a multi-dimensional state for every shot, retrieving only causally prior context over the resulting graph, filtering it selectively, and injecting the surviving constraints by natural-language prompt rew...

Jiaqi Liu, Maolin Ran, Xiaoyan Lu et al. · 0 citations

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