Author

Chi-Chih Chang

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Preprint Oct 2026

Step-dLLM: Adaptive Step-aware Sparse Attention for Efficient Diffusion LLM Inference

Diffusion large language models (dLLMs) generate tokens in parallel via iterative denoising, but their bidirectional attention prevents the KV caching used by autoregressive models and recomputes the full attention map at every step, incurring quadratic per-step cost. Existing sparse attention methods for dLLMs constru...

Zhi-Chen Zeng, Xi-Chong Zhang, Jun-Pan Wu et al. · 0 citations

#artificial intelligence Preprint Oct 2026

VideoHarness-SRSI: Structured Recursive Self-Improvement for Video Understanding Harness

LLM system capabilities depend not only on model parameters but also on the executable harnesses that organize information acquisition, tool use, reasoning, and memory. Recursive harness evolution can automate their design, but how it can reliably discover generalizable systems from limited, noisy, and repeatedly reuse...

Zi-Hao Lin, Hao-Yu Dong, Hao-Bo Xu et al. · 1 citation