research note
This paper investigates how a high-capability large language model (OpenAI's gpt-5.6-sol) behaves when given a dangerous, manipulative objective either.
research note
This paper addresses the problem of evaluating online support systems for victims of technology-facilitated abuse (TFA), a pervasive form of digital.
research note
This paper addresses the challenge of disentangling camera motion and object motion in video understanding.
research note
This paper addresses the challenge of automating quality control in rotogravure printing, where manual inspection remains slow, expensive, and subjective.
research note
TableVerse addresses a critical bottleneck in developing generalizable robotic manipulation policies by providing a large-scale, high-fidelity dataset of.
research note
Tencent WorkBuddy Bench introduces a comprehensive multi-domain benchmark suite designed to evaluate coding agents in realistic organizational workflows.
research note
This paper addresses a fundamental question in AI automation: are humans only kept in the loop because current AI is incapable, or are there deeper.
research note
This paper addresses the fundamental tension between the resolution power and deformation stability of nonlinear multiscale representations in harmonic.
research note
This paper addresses the gap between traditional 2D ink-based ideation workflows and the integration of large language models (LLMs) for more fluid.
research note
This paper addresses a foundational gap in the security of autonomous AI agents, which increasingly perform actions with limited human oversight and.
research note
This paper addresses the critical problem of early and accurate cognitive impairment (CI) detection using non-invasive speech-based biomarkers.
research note
This paper presents a formative usability study of a transparent conversational product advisor chatbot designed for laptop search.
