Author

Hua-Yu Wang

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#artificial intelligence May 2025

TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action

Experiments on video temporal grounding and highlight detection benchmarks show that TEMPURA substantially improves strong base VLMs across model families and scales, confirming that combining event-level reasoning with fine-grained temporal segmentation is an effective recipe for video temporal understanding.

Jen-Hao Cheng, Yi-Hao Peng, Huapeng Zhou et al. · arXiv.org · 11 citations · ⚡1

#natural language process... Preprint Aug 2026

TreeSpark: Calibrated, Load-Adaptive Draft Trees for Semi-Autoregressive Speculative Decoding

Speculative decoding accelerates language-model inference by letting a cheap drafter propose tokens that the target model verifies in parallel. Recent block drafters make drafting nearly free: a single backbone pass emits an entire block of draft tokens. Draft trees promise a further gain -- several alternative continu...

Hua-Peng Zhou, Hua-Yu Wang, Xin-Yu Wang · 1 citation