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#artificial intelligence Preprint Aug 2026

Hypotheses-Guided Self Distillation for Continual Personalization

HypReflect is introduced, a reliable, scalable framework for continual personalization that infers explicit, uncertainty-aware preference hypotheses from diverse user signals, reflectively refines them as new evidence accumulates, and incorporates the resulting user model through hypotheses-guided self-distillation.

Eunjeong Hwang, Kushan Mitra, Dan Zhang et al. · 1 citation
#artificial intelligence Preprint May 2026

SciAtlas: A Computable Atlas of Science for Knowledge-Grounded AI Research

SciAtlas is presented, a shared, machine-actionable cross-disciplinary scholarly knowledge infrastructure that integrates evidential, conceptual, disciplinary, expertise, and normative layers under a shared schema and achieves a unified neuro-symbolic retrieval mechanism that grounds heterogeneous research objects, pro...

Shuofei Qiao, Yun-Xiang Wei, Bu-Sheng Zhang et al. · 1 citation
#artificial intelligence Preprint Aug 2026

Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence

Mechanist is an agentic system that uses AI as a scientific instrument for the autonomous discovery of mechanisms underlying AI intelligence, and develops a mechanism theory of belief, revealing how models represent world knowledge, form beliefs, infer the beliefs of others, and how these mechanisms emerge during pretr...

Mengru Wang, Jun-Feng Fang, Shuo-Fei Qiao et al. · 1 citation

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