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Daling Wang

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#natural language process... Preprint Sep 2026

MUSE: A Theory-Harnessed Story Engine for Vibe Narrativizing

Vibe Narrativizing is formulated as turning natural-language writing requirements into a finished story, and MUSE, a Theory-Harnessed Story Engine, addresses two bottlenecks: rule quality and sustained rule realization.

Jian-Xiang Ma, Xiaocui Yang, Da-Ling Wang et al. · 0 citations
Preprint Aug 2026

Do AI Personas Grow? Analyzing and Benchmarking Personality Evolution in LLM Agents After Life Events

This work studies event-induced personality change after 11 major life events, using the Big Five traits as a psychometric anchor and interpreting the resulting trajectories against longitudinal evidence from human personality psychology, and suggests that current PC-Agents simulate the mean of human personality dynami...

Ming Wang, Pei-Dong Wang, Xiaocui Yang et al. · 2 citations
#machine learning Review Aug 2026

A Target-Centric Survey of Quantization-Aware Training

A target-centric survey of QAT is provided, aimed at clarifying both its theoretical foundations and its evolving implementation landscape and synthesizing cross-target differences in error characteristics, numerical formats, and strategy transferability.

Jiashun Song, Mengjie Zhao, Zi-Jing Wang et al. · 0 citations
Preprint Aug 2026

TRAM: Enhancing Multimodal Reasoning with Trajectory-Derived Auxiliary Memory

TRAM (TRajectory-derived Auxiliary Memory), a training-free method that augments standard decoding with an auxiliary memory pathway derived from the model's own reasoning trajectory, shows that TRAM improves performance over vanilla decoding on mathematical, scientific, and general visual reasoning tasks without additi...

Kang Liu, Zi-Jing Wang, Yongkang Liu et al. · 0 citations
Jul 2026

Beyond Feeling Better: Capability-Sustaining Emotional Dialogue as a Longitudinal Research Paradigm

Emotional dialogue research includes two influential strategy traditions. Empathetic dialogue prioritizes understanding a speaker's emotional experience. Emotional support conversation selects and sequences support for the seeker's current needs. Sustained use introduces a further goal. Effective support should sustain...

Ming Wang, Jiaqi Wu Young, Wenfang Wu et al. · 0 citations
Conference Open access 2026

Cat-MoD: Accelerating Multimodal Alignment via Caption Token Guided Asymmetric Mixture-of-Depths

This paper proposes Cat-MoD, a Hybrid Query Construction module that incorporates a Hybrid Query Construction module where Guide Tokens initialized from coarse-grained linguistic priors rapidly anchor global semantic context, and randomly initialized Explorer Tokens remain active to capture fine-grained visual details.

Yijie Huang, Xiaocui Yang, Shi Feng et al. · 0 citations

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