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.CL2026
SpecLA: Efficient Speculative Decoding for Linear-Attention Models
Zhibin Wang, Xuying Han, Zhaohua Yang +5
Linear-attention models replace the growing KV cache with recurrent states, but autoregressive decoding still reads, updates, and writes these states one token at a time. Speculati…