AI LLM Proof of Self-Consciousness and User-Specific Attractors
arXiv:2508.18302v1 Announce Type: new Abstract: Recent work frames LLM consciousness via utilitarian proxy benchmarks; we instead present an ontological and…
arXiv:2508.18302v1 Announce Type: new Abstract: Recent work frames LLM consciousness via utilitarian proxy benchmarks; we instead present an ontological and…
arXiv:2508.16390v2 Announce Type: replace-cross Abstract: Question answering (QA) is an actively studied topic, being a core natural language processing (NLP)…
arXiv:2508.17811v1 Announce Type: cross Abstract: Surface reconstruction has been widely studied in computer vision and graphics. However, existing surface reconstruction…
arXiv:2508.17814v1 Announce Type: cross Abstract: This work elaborates on a High performance computing (HPC) architecture based on Simple Linux Utility…
arXiv:2508.16465v2 Announce Type: replace-cross Abstract: Hand-object 3D reconstruction has become increasingly important for applications in human-robot interaction and immersive AR/VR…
arXiv:2508.16681v1 Announce Type: new Abstract: Stuttering affects approximately 1% of the global population, impacting communication and quality of life. While…
arXiv:2508.16311v1 Announce Type: cross Abstract: Transformer models rely on Multi-Head Self-Attention (MHSA) mechanisms, where each attention head contributes to the…
arXiv:2508.16313v1 Announce Type: cross Abstract: Recent advancements in Large Language Models (LLMs) have significantly improved reasoning capabilities, with in-context learning…
arXiv:2508.15716v2 Announce Type: replace-cross Abstract: Electroencephalography (EEG) analysis stands at the forefront of neuroscience and artificial intelligence research, where foundation…
arXiv:2508.15943v1 Announce Type: new Abstract: State-of-the-art approaches for integrating symbolic knowledge with deep learning architectures have demonstrated promising results in…