6 citations · 14 across the 26 of their papers we have counts for
4 papers · 1 filter
TSS: Target-Side Sparsification for Speculative Decoding in Domain-Specific Large Language Models
Haibo Hu, Lianming Huang, Qiao Li +2
Speculative decoding accelerates large language model inference through collaboration between a lightweight draft model and a target verifier. Existing methods mainly improve the d…
Efficient Block-Layer Parallel Inference for Vision-Language-Action on Hybrid Architectures
Haibo HU, Lianming Huang, Qiao Li +2
Vision-Language-Action (VLA) models are becoming a promising paradigm for autonomous driving, but their deployment on existing vehicle platforms remains difficult because they intr…
Mode-as-Sequence: Translating Multimodal Motion Prediction into Unified Sequential Mode Modeling
Zikang Zhou, Haibo Hu, Xinhong Chen +5
Multimodal motion forecasting is inherently under-supervised: each training scene provides only one realized future, yet multiple plausible futures exist. This sparse supervision o…
ReFilter: Improving Robustness of Retrieval-Augmented Generation via Gated Filter
Yixin Chen, Ying Xiong, Shangyu Wu +3
Retrieval-augmented generation (RAG) has become a dominant paradigm for grounding large language models (LLMs) with external evidence in knowledge-intensive question answering. A c…