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Matching papers

TurboVLA: Real-Time Vision-Language-Action Model at 32 Hz on an RTX 4090 with <1 GB VRAM

118 upvotes · 29 JUL 2026 · Hengyi Xie, Chenfei Yao, Xianjin Wu et al.

This paper introduces TurboVLA, a new vision-language-action model that reduces computation and memory overhead by directly exchanging information between visual observations and language instructions, allowing for faster and more efficient robotic manipulation. Practitioners might care about this approach for building more efficient and effective VLA models.

vision-language-action modelscontinual learningroboticsagentslightweight models

Confidence Comes from Experience: Experiential Confidence Estimation from Reasoning to Agents

47 upvotes · 15 SEP 2026 · Caiqi Zhang, Xiaochen Zhu, Chengzu Li et al.

This paper proposes a new method for estimating confidence in language models, called XConf, which uses the model's past experiences to inform its confidence, rather than just relying on the current inference process. Practitioners might care about this because it could lead to more reliable and trustworthy deployment of language models.

experiential confidence estimationreasoningagentslanguage modelscontinual learning