Evaluating the accuracy of KV cache reuse techniques
Study reveals KV cache reuse evaluation metrics artificially inflate effectiveness; proposes faithful accuracy measurement methodology for retrieval-augmented generation.
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Study reveals KV cache reuse evaluation metrics artificially inflate effectiveness; proposes faithful accuracy measurement methodology for retrieval-augmented generation.
The notice would allow Oracle to delay payments should the facility miss its 2028 target to come online.
Latent neural surrogate solvers reduce rollout error accumulation in long-horizon physical system forecasts via representation-training improvements.
Orbital Error Dynamics: speculative framework proposing procedural weight generation via quadratic maps; lacks empirical validation.
TechCrunch Founder Summit is a full-day gathering in Boston on November 4 where founders across all stages connect with top VCs and experienced entrepreneurs to gain tactical insights on building and scaling their companies.
GraphStar sets extend neural network verification to GNNs with node/edge features for power systems.
NNV3 MATLAB tool extends neural network verification to ModelStar, VolumeStar, GraphStar for weight perturbation and graph neural networks.
Study traces how pricing cues mislead LLM shopping agents under acquisition costs, revealing susceptibility across eight commercial models.
MicroQonv optimizes tensor reshaping to reduce memory overhead when applying microscaling quantization to convolutional neural networks.
Systemic Risk Index organizes 19 benchmarks under EU GPAI Code of Practice categories to transparently evaluate AI safety across CBRN, cyber, manipulation, and control loss.
YouTube is adding new AI-powered features to YouTube Music that aim to make it easier for listeners to discover music, explore artists, and find podcasts they may otherwise miss. Announced at this year’s Made On YouTube event, the updates include “Ask Music,” a conversational…
Neural Process Boosting decomposes meta-learning into gradient-boosted fixed effects and NP random effects for improved task adaptation.
MENO neural operator reduces memory footprint for PDE solving with resolution-independent scaling and arbitrary geometric domain support.
Neural surrogate framework uses fMRI decoding and latent-space steering to predict representational changes for neuromodulation without physical stimulation.
THESEUS framework isolates SLM reasoning capability in knowledge-graph QA by decoupling graph navigation, search, and answer generation.
Survey of brain-to-language decoding covering neural recording, representation learning, and speech/text generation from brain signals.
TNLearn is an open-source Python package for constructing task-based neurons inspired by neuroscience principles.
M3D-Net is a mammography encoder using coordinate attention, feature reuse, and differential attention for breast image classification.
Growing Harness learns reusable executable agent scaffolds from task feedback, reducing redundant LLM inference on repeated control decisions.
TraceVIC uses causal reasoning over code evolution to identify vulnerability-inducing commits; improves on git-blame heuristics.
Benchmark compares transfer learning, active learning, and pseudo-labeling for label-efficient cloud classification on Ground-based Cloud Dataset.
Neutral-atom quantum computing applied to NP-hard resource allocation problems (MAP) in NOMA wireless networks.
NVIDIA DLSS 5 introduces DLSS 3D-Guided Neural Rendering and granular controls that help game developers add lifelike lighting and material detail while... NVIDIA DLSS 5 introduces DLSS 3D-Guided Neural Rendering and granular controls that help game developers add lifelike…
Geometry-aware hyperbolic residual vector quantization preserves hierarchical structure in discrete token representations via non-Euclidean geometry.
PreGS uses parameter-transfer multi-expert GNNs with pretrained GAT heads to improve node classification stability across diverse graph structures.
Survey of LLM security, privacy, and reliability risks in mobility/automotive sector, covering 1.5B vehicles and EU AI Act compliance.
Canonical locks encode part-whole hierarchies in neural nets using high-dimensional vectors with phase-difference information rather than flattened sequences.
Hyperbolic Restricted Boltzmann Machine neural quantum state outperforms Euclidean variant on Quantum Sherrington-Kirkpatrick ground state optimization.
REVE detects audio hallucinations in audio-language models by reusing encoder states for efficient event verification without second forward pass.
Commentary on interdisciplinary AI collaboration lessons from galleries/libraries/archives/museums (GLAMs) for research funding and trans-disciplinary approaches.