2 papers
cs.LG2026
Sample-Efficient Post-Training for LEGO Spatial-Physics Reasoning
Yuhuan Yuan, Zhouliang Yu, Minghao Liu +2
LLM-based LEGO assembly requires both semantic grounding and physical feasibility. In this paper, we identify a data-induced failure mode, physhack, in which generated assemblies s…
cs.AI2026
QA-MoE: Towards a Continuous Reliability Spectrum with Quality-Aware Mixture of Experts for Robust Multimodal Sentiment Analysis
Yitong Zhu, Yuxuan Jiang, Guanxuan Jiang +4
Multimodal Sentiment Analysis (MSA) aims to infer human sentiment from textual, acoustic, and visual signals. In real-world scenarios, however, multimodal inputs are often compromi…