2 papers
cs.CV2026
Just Noticeable Difference Modeling for Token Compression in Vision-Language-Action Models
Zhuoyuan Li, Rui Zhao, Jin Wang +5
Token compression has become a key technique for reducing the inference cost of large foundation models, with approaches such as token pruning and KV-cache reuse widely adopted in…
cs.CV2024
MotionChain: Conversational Motion Controllers via Multimodal Prompts
Biao Jiang, Xin Chen, Chi Zhang +4
Recent advancements in language models have demonstrated their adeptness in conducting multi-turn dialogues and retaining conversational context. However, this proficiency remains…