Hallucinations in large language models (LLMs) are always seen as limitations. However, could they also be a source of creativity? This survey explores this possibility, suggesting that hallucinations may contribute to LLM application by fostering creativity. Hallucinations are not treated as creativity perse; rather,...
Xuhui Jiang, Yi Liu, Ying-Han Shen et al.· AI Plus· 0 citations
DynSTEER bridges the granularity gap through stage-wise dynamic evaluation that segments rollouts at key execution nodes and adapts its multi-level review strategy based on stage-level results; it compiles a path-tolerant milestone graph from available task inputs to preserve diverse legal paths without reference leaka...
Zhichao Shi, Xuhui Jiang, Wen-Jie Zhang et al.· 1 citation
A Process-aware Language Cognitive Diagnosis (PLCD) framework that uses language-derived structures as cognitive priors and response records to calibrate student posterior states is proposed, suggesting that structured language priors calibrated by response records can improve cold-start robustness and cognitive ground...
Ming-Hang Liu, Yuan-Zhuo Wang, Qiang Qiu et al.· 0 citations
This work introduces ENOUGH, a method that iteratively appends behavioral records or emits STOP to construct profiles with adaptive lengths, which consistently outperforms strong heuristic and retrieval-augmented baselines in both effectiveness and efficiency.
Ming-Hang Liu, Qiang Qiu, Yuan-Zhuo Wang et al.· 0 citations
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