LLMs have been able to generate fluent prose, but high-quality stories also require coordinated decisions about plot, character, and language across planning, drafting, and revision. We formulate Vibe Narrativizing as turning natural-language writing requirements into a finished story. MUSE, a Theory-Harnessed Story En...
Jian-Xiang Ma, Xiaocui Yang, Da-Ling Wang et al.· 0 citations
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
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
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