MELD

A confidence-gated hybrid that escalates only the least-confident predictions from a stacked ensemble to an LLM Pareto-dominates both pure systems on all three emotion-recognition datasets tested, rea…

Researchers propose TTSD-FAR, a test-time self-distillation framework with Fisher-Anchored Restoration, to handle missing-modality emotion recognition in large video-language models (LVLMs). The metho…

Researchers introduced the MELD dataset to evaluate whether embedding models capture mathematical equivalence, finding that current models group statements by terminology rather than underlying math. …