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#natural language process... Preprint Oct 2026

TrajLong: Co-Designing Agentic and Long-Context Supervision for Mid-Training

LLM agents for coding, search, and workplace tasks increasingly rely on long-context capabilities to effectively aggregate and reason over extended interaction histories. Recent work has incorporated agent trajectories into mid-training stage, drawing on their naturally long and interaction-rich structure. Yet how to o...

Miao Peng, Qin-Tong Zhang, Nuo Chen et al. · 0 citations
#artificial intelligence Preprint Oct 2026

VERSE: Verified Self-Evolving Optimizer for Agent Harnesses

Harness evolution improves an LLM agent's prompts, tools, and workflow, while the optimizer's own tools and procedures often remain fixed. We study whether an optimizer can improve another agent more effectively by also improving how it diagnoses failures, develops edits, and tests their effects. Two observations guide...

Ze-Kai Wang, Ying-Qiang Ge, Ze-Kun Wang et al. · 0 citations

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