#efficient inference
14 papers match
Calibrate Before Reason: Robust Visual Token Reduction against Semantic Drift in VLMs
Jiasheng Li, Zhong Ji, Yan Zhang +1
The paper proposes CaRe, a training‑free method that calibrates compact visual representations before reasoning to keep semantic consistency when reducing visual tokens in large vi…
Finding Change in Satellite Archives from Text: How to Combine Before-and-After Images Efficiently
Simon Roy, Mark Bong, Giovanni Beltrame
The paper studies how to efficiently combine before-and-after satellite images to match natural‑language change queries, comparing attention, state‑space (Mamba), and compressed fu…
ObjectStream: Latent Objects as Memory Anchors for Streaming Video Understanding
Mingkang Dong, Muxin Pu, Jie Li +8
ObjectStream introduces a training‑free method that extracts latent objects from frozen Video‑LLM representations and uses them as persistent memory anchors to improve streaming vi…
Penelope: Localized Latent Recurrence for Efficient Structured Reasoning
Yutong Chen, Shouqian Shi, Xinran Liu +5
Penelope introduces a method that adds a localized recurrent computation within a decoder-only Transformer to perform structured reasoning efficiently, using a latent space instead…
GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearch
GigaWorld Team, Angen Ye, Angyuan Ma +26
The paper introduces GigaWorld-Policy-0.5, a robot control model that learns from future visual dynamics during training but generates actions only at inference, achieving faster (…
VideoSEMA: a scalable and efficient Mamba-like attention for video understanding
Nhat Thanh Tran, Fanghui Xue andShuai Zhang, Fanghui Xue +5
The paper introduces VideoSEMA, a split space‑time attention model for video classification that combines a scalable Mamba‑like spatial attention block with softmax temporal attent…