interest modeling 1knowledge distillation 1latent reasoning 1lightweight models 1multimodal emotion recognition 1multimodal large language models 1optimal transport loss 1recursive reasoning 1sequential recommendation 1supervised training 1
From the 2 of 23 linked papers with an AI index.
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cs.AI2026
Do We Really Need Multimodal Emotion Language Models Larger Than 1B Parameters?
Kaiwen Zheng, Junchen Fu, Wenhao Deng +3
The paper introduces Light-MER, a sub‑billion‑parameter multimodal emotion recognition model that uses knowledge distillation, an optimal transport loss, and a multi‑reward optimiz…
cs.AI2026
FrED: External Data Influence Estimation via Domain Knowledge Graph Grounding
Theodoros Aivalis, Iraklis A. Klampanos, Antonis Troumpoukis +1
The rapid deployment of generative AI has amplified the critical need for Training Data Attribution to ensure transparency and accountability. However, current parametric approache…