Author

Zishang Jiang

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Preprint Aug 2026

Skill-Use: Can LLMs Actually Use Skills in Agentic Harnesses?

Skill-Use is introduced, a benchmark that evaluates skill use under progressive disclosure, where an agent sees only a skill's name and short description and must retrieve the full procedure before following it.

Jinyi Han, Yuanjian Xu, Ying Liao et al. · 4 citations · ⚡2

Preprint Jun 2026

From Outcomes to Actions: Leveraging Hindsight for Long-Horizon Language Agent Training

A novel policy gradient method is introduced, Hindsight Policy Optimization (HPO), that projects both the current policy distribution and the hindsight distribution into an intent space and extracts low-variance learning signals from the Wasserstein distance between them.

Zishang Jiang, Tingyun Li, Jinyi Han et al. · 0 citations