1 citations · 1 across the 5 of their papers we have counts for
5 papers
EvoSpec: Evolving Speculative Decoding via Real-Time Vocabulary and Parameter Adaptation
Shuyu Zhang, Lingfeng Pan, Qicheng Wang +6
Speculative decoding accelerates Large Language Model inference through draft-then-verify generation, yet lightweight draft models face coupled efficiency and quality limitations:…
Protein as a Second Language for LLMs
Xinhui Chen, Zuchao Li, Mengqi Gao +4
Deciphering the function of unseen protein sequences is a fundamental challenge with broad scientific impact, yet most existing methods depend on task-specific adapters or large-sc…
Video-Bench: Human-Aligned Video Generation Benchmark
Hui Han, Siyuan Li, Jiaqi Chen +10
Video generation assessment is essential for ensuring that generative models produce visually realistic, high-quality videos while aligning with human expectations. Current video g…
Symbolic Representation for Any-to-Any Generative Tasks
Jiaqi Chen, Xiaoye Zhu, Yue Wang +9
We propose a symbolic generative task description language and a corresponding inference engine capable of representing arbitrary multimodal tasks as structured symbolic flows. Unl…
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection
Jiaqi Chen, Xiaoye Zhu, Tianyang Liu +11
Large Language Models (LLMs) have revolutionized text generation, making detecting machine-generated text increasingly challenging. Although past methods have achieved good perform…