A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Vatsal Baherwani, Tom Goldstein, Ashwinee Panda
This paper demonstrates that frontier language models can perform 'invisible reasoning' using semantically irrelevant filler tokens, improving accuracy by up to 13 percentage points and hiding objectives from CoT monitoring.
Kiranyaz, Mustafa Serkan, Onur Avcı, Osama Abdeljaber, et al.
This paper provides the first comprehensive review of 1D CNNs, covering their architecture, applications, and state-of-the-art performance in fields like biomedical data classification and structural health monitoring.
Emilio Ferrara
This survey explores early trends, datasets, and challenges in applying large language models to wearable sensor data for human activity recognition, health monitoring, and behavioral modeling.
Unknown
This survey systematically reviews threats and countermeasures for trustworthy LLM agents, organizing defense approaches into three paradigms: alignment, monitoring, and control.