Author

Lifeng Shang

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Preprint Aug 2026

What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents

This work represents agentic data as a common factorized object $(E,q,\tau,v)$, comprising an environment specification, task signal, interaction realization, and optional verifier, and formulate generation as constrained distribution design through the Accuracy-Complexity-divErsity (ACE) lens.

Xingshan Zeng, Zishan Xu, Bo-Ju Zhang et al. · 0 citations

#natural language process... Mar 2026

Switch Attention: Towards Dynamic and Fine-grained Hybrid Transformers

SwiAttn is a novel hybrid transformer that enables dynamic and fine-grained routing between full attention and sliding window attention, and dynamically routes the computation to either a full-attention branch for global information aggregation or a sliding-window branch for efficient local pattern matching.

Yusheng Zhao, Hourun Li, Bohan Wu et al. · arXiv.org · 4 citations