Author

Rui Mao

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#artificial intelligence Feb 2026

Affective Flow Language Model for Emotional Support Conversation

The Affective Flow Language Model is proposed, which models multi-turn emotional support as an affective utility flow evolving along dialogue trajectories, providing a process-based approach to dynamic affect modeling and continuous strategy optimization.

Cheng Zou, Ning Wang, Tiesunlong Shen et al. · arXiv.org · 2 citations

#artificial intelligence Feb 2026

When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning

Leveraging reinforcement learning, MPAR$^2$ improves perception performance on CAFE from 31.74% to 63.51% and effectively mitigates perception decay, concurrently enhancing reasoning capabilities to achieve a significant 74.59% accuracy on the MMAU benchmark.

Rui Mao, Xiangnan Ma, Dan-Qi Chen et al. · arXiv.org · 1 citation