agent training 1container environments 1data generation 1large language models 1terminal task synthesis 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.AI2026
Meta-Task: Turning Terminal Task Synthesis into a Terminal Task for Scalable Agent Training
Zhihong Pan, Jiyuan He, Kai Zhang +5
The paper introduces Meta-Task, a framework that generates and verifies terminal tasks inside real container environments, enabling scalable training of terminal agents with high‑q…
cs.CL2025
Route to Reason: Adaptive Routing for LLM and Reasoning Strategy Selection
Zhihong Pan, Kai Zhang, Yuze Zhao +1
The inherent capabilities of a language model (LM) and the reasoning strategies it employs jointly determine its performance in reasoning tasks. While test-time scaling is regarded…