Artificial superintelligence (ASI) requires AI to move beyond mastering existing knowledge toward exploring the unknown, creating new knowledge, and turning new ideas into verifiable results. However, the capabilities of today's AI systems are still largely built on learning, compressing, and applying existing human kn...
Jun-Wei Zhou, Zhen Sun, Binyu Li et al.· 2 citations
Across 12 evaluation settings covering the four principles of the Accountable-Professional Persona studied in this work, R$^2$A overall outperforms both the base model and static Persona elicitation and results show that Persona Representation Learning is critical for preventing Runtime Alignment from producing behavio...
Mo-Han Zhang, Chengsong You, Xiao-Yu Cao et al.· 0 citations
This work proposes ProRetrieval, which recasts the language model as a retrieval orchestrator: given a natural-language query, it synthesizes an executable program in a hybrid DSL interleaving SQL operators over structured fields with vector-retrieval primitives over text and images, with SQL itself providing the logic...
Chengcheng You, Zhen Sun, Yunhai Hu et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.