Author

Zhaohua Yang

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Jul 2026

Meta-Task: Turning Terminal Task Synthesis into a Terminal Task for Scalable Agent Training

Meta-Task is proposed, a framework that redefines terminal task synthesis as a Terminal-Bench-format task itself: an agent operates within a real container environment to iteratively generate, execute, and verify tasks, so that synthesized components are checked for internal consistency and executability within the generation loop itself.

Zhi-Hong Pan, Ji-Yuan He, Kai Zhang et al. · arXiv.org · 1 citation

Jul 2026

SpecLA: Efficient Speculative Decoding for Linear-Attention Models

SpecLA is presented, a speculative decoding runtime for stateful linear-attention models that verifies chains and trees with topology-aware kernels, stores compact factors produced during verification to recover accepted states, and uses confidence pruning plus a target-aligned EAGLE-style drafter to feed useful candidates to the verifier.

Zhibin Wang, Xuying Han, Zhaohua Yang et al. · arXiv.org · 1 citation