closed-loop inference 1model calibration 1post-training quantization 1robotic manipulation 1world action models 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CV2026
HounsWorld: A Multimodal World Model for Hidden Patient-State Readout, Reconstruction, and Simulation
Yunhao Bai, Zhongwei Qiu, Guangyu Guo +5
Clinical intelligence requires estimating a patient's underlying condition from incomplete observations rather than learning isolated mappings from scans to answers. Volumetric med…
cs.AI2026
QuantWAMs: Calibrating at the Right Granularity for World Action Models
Jiacheng Zhou, Jinfan Lv, Ruixuan Li +4
The paper proposes QuantWAMs, a post‑training quantization framework that tailors quantization decisions to the structure, rollout distribution, and task objectives of World Action…