All Articles
16216 articles total
Shipping Godot VR and Porting to PSVR2: A Partial Post Mortem
A post-mortem on the technical challenges and experiences of shipping Godot VR and porting it to PSVR2.
Beyond Predictive Accuracy: A Reliability-Aware Audit of Molecular Representations for Human Olfaction
A study auditing the reliability of molecular representations for human olfaction, finding that learned embeddings often fail to outperform conventional baselines.
DisasterTD: Disaster Toponym Disambiguation Using Multimodal LLMs and Cross-View Geolocalization
Introduction of DisasterTD, a framework using multimodal LLMs and cross-view geolocalization for disambiguating disaster-related toponyms.
HVM-GraphRAG: Holistic-View Multimodal Graph Retrieval-Augmented Generation on Complex Document
HVM-GraphRAG proposes a holistic-view multimodal GraphRAG framework to improve efficiency and accuracy in QA over complex documents.
Tokens are All You Need: Dual-purpose Semantic IDs for Achieving LLM-Level I/O Efficiency in recommendation systems
A proposal for Dual-purpose Semantic IDs using hierarchical quantization to reduce the memory footprint and I/O overhead of large-scale recommendation systems.
GraphRareBench: An Auditable Graph-Evidence Benchmark for Phenotype-Driven Rare-Disease Diagnosis
GraphRareBench is introduced as an auditable benchmark for phenotype-driven rare-disease diagnosis using graph evidence.
Human Preference aligned Tabular Similarity
A paper arguing for the necessity of human-preference aligned evaluation for tabular embeddings used in similarity search.
After the AI Crash
A community discussion on Hacker News regarding the potential 'AI crash' and the sustainability of current AI investments.
Show HN: Bullshit Detector – agent skills that fact-check videos and articles
A new set of agent skills designed to fact-check videos and articles to detect 'bullshit' or misinformation.
Retrieval-Augmented Generation in LLMs for Mental Health: Quantifying the Incremental Contribution of Retrieval Within a Layered Safety Architecture
Research exploring how Retrieval-Augmented Generation (RAG) improves intent detection and safety in LLMs used for digital mental health interventions.
Dual-Level Atomic and Coordination Geometry Learning for Crystal Property Prediction Using Graph Neural Networks
Introduction of the Coordination Polyhedron Graph Network (CPGN), a multi-scale GNN for more accurate crystal property prediction in materials science.
Dynamic Multi-Criteria Bottleneck Severity Index (DMBSI) for Semiconductor Wafer Manufacturing: A Genetically Optimised Framework for Reentrant Production Systems
A data-driven framework (DMBSI) for identifying and analyzing bottleneck severity in semiconductor wafer manufacturing process flows.
Foundation Models for EEG Are Blind to Long-Range Temporal Correlations: A Spectral-Temporal Dissociation Behind Their Cross-Population Fragility
Study revealing that current EEG foundation models fail to capture long-range temporal correlations, affecting their robustness across populations.
MedJudgeRAG: Option-Wise Evidence Judgment with Dynamic Knowledge Graphs for Medical MCQA
MedJudgeRAG uses dynamic knowledge graphs to improve medical multiple-choice question answering by better judging evidence from retrieved documents.
REPREC: Representation Driven Parameter-Efficient Recommendation System
REPREC is a lightweight framework for sequential recommendation that aligns user representations without needing to fine-tune the LLM backbone.
Two Views, One Voice: Evidence-Grounded Conversational Music Recommendation
A decoupled retrieval and response pipeline for conversational music recommendation that enhances explanation reliability using evidence-grounded generation.
Extremal Chowla sets and their linear analogues: A human-AI mathematical investigation using Co-Scientist
A mathematical investigation into extremal Chowla sets and their linear analogues, developed through collaboration between humans and the Co-Scientist AI tool.
A Texture Lookup Approach to Bézier Curve Evaluation on the GPU (JCGT)
A technical exploration of using texture lookup to evaluate Bezier curves on GPUs, likely improving rendering performance.
Disrupting supply chain attacks on NPM and GitHub Actions
Research on disrupting supply chain attacks targeting the NPM ecosystem and GitHub Actions pipelines.
ALP: Adaptive lossless floating-point compression
Introduction of ALP, a new method for adaptive lossless floating-point compression.