2 papers
cs.LG2026
InfluenceField: A Differentiable Field with Interventionally Identifiable Causal Structure for Multimodal World Modeling
Zihao Yang, Zijia Wang, Zhiqiu Huang
Multimodal large language models often capture visual-linguistic correlations but struggle to predict how local visual interventions propagate and affect downstream answers. We int…
cs.RO2026
RCT-AD: Reliability-Aware Context and Temporal BEV Reasoning for End-to-End Autonomous Driving
Argho Dey, Yunfei Yin, Swachha Ray +5
Reliable temporal representation learning is important for end-to-end autonomous driving, particularly when visual observations are degraded by occlusion, motion blur, illumination…