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cs.SD2026
Selective Listening: Mechanism-Guided Control of Audio Influence in Large Audio-Language Models
Yulin Sun, Kele Xu, Yong Dou
Large audio-language models (LALMs) exploit multimodal evidence, yet task-irrelevant audio can alter text-reasoning decisions when listening is unnecessary. Aggregate Accuracy can…
cs.SD2026
Prediction-Layer Branch Calibration for Multimodal Sentiment Analysis
Yulin Sun, Kele Xu, Yong Dou
Multimodal sentiment analysis integrates textual, acoustic and visual cues, yet current language-model-based fusion methods typically leave prediction-layer branch allocation impli…
cs.LG2026
MAny: Merge Anything for Multimodal Continual Instruction Tuning
Zijian Gao, Wangwang Jia, Xingxing Zhang +6
Multimodal Continual Instruction Tuning (MCIT) is essential for sequential task adaptation of Multimodal Large Language Models (MLLMs) but is severely restricted by catastrophic fo…