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#natural language process... Preprint Oct 2026

PersonaFactor: Preference Factors with Dynamic Selection for LLM Personalization

Although users may express different personalization needs across tasks, these task-specific behaviors can reflect shared underlying preference mechanisms. Existing LLM personalization methods often focus on surface-level interactions or undifferentiated histories, overlooking the shared mechanisms underlying these beh...

Hang Su, Ze-Qun Liu, Jiang-Han Chao et al. · 0 citations

ForeSci: Evaluating LLM Agents for Forward-Looking AI Research Judgment

ForeSci is introduced, a temporally controlled benchmark for evaluating whether LLM agents can make such forward-looking research judgements from historical evidence, and agent-based methods improve traceability over Hybrid RAG, while their gains in future-target alignment over native LLMs are modest and task dependent...

Qiu-Yu Tian, Hao Yin, Hang Su et al. · 1 citation

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