Shared-Prefix KV Reuse Across Standard LoRA Adapters: Quality and Serving Tradeoffs
KV cache reuse across standard LoRA adapters on Qwen3-1.7B backbone preserves quality while reducing serving cost for multi-specialist deployments.
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KV cache reuse across standard LoRA adapters on Qwen3-1.7B backbone preserves quality while reducing serving cost for multi-specialist deployments.
Two-parameter Riemannian metric family unifies Euclidean, Bures-Wasserstein, and affine-invariant metrics for covariance matrix optimization.
ICML: Multi-agent framework enabling adaptive, learnable memory policies for long-term agent conversations instead of static heuristic archiving.
Hierarchical Planning Decoder: Neuro-symbolic goal inference from partial multimodal episodes for human behavior anticipation in assistive systems.
Study identifies structural negative transfer in federated graph neural networks when client graphs differ in topology, beyond label/feature distribution variance.
Multi-agent neural networks share information to reduce model complexity while maintaining performance on classification tasks.
Stellar Colosseum harness enables multi-agent LM coordination for long-horizon mathematics and TCS problems via adaptive proof planning and verifier feedback loops.
Recurrent GNNs with set-based aggregation admit characterization as Boolean reachability formulas with verifiable conditions from network weights.
As the complexity of High Performance Computing (HPC) ecosys- tems continually increases, achieving optimal performance becomes a challenge. Traditional performance autotuning techniques pro- vide promising means to navigate this complexity, these techniques remain…
Backdoor attack vulnerability in pretrained world models reused for downstream control tasks, enabling hijacking via poisoned checkpoint without explicit triggers.
Spiking neural network framework for cyber threat detection handling categorical identifiers and temporal patterns in asynchronous heterogeneous event streams.
Deep learning system for financial credit risk early warning integrating heterogeneous data via neural networks and attention mechanisms.
Multimodal foundation model for zero-shot brain signal analysis using language guidance to address representational misalignment in neuroscience.
Twenty-five leading mathematicians signed an open letter arguing that AI labs are threatening their intellectual work.
New Mexico's Supreme Court is punishing a lawyer for including AI-fabricated witnesses and fake police testimony in an appeal for his client's murder conviction, according to a report from Reuters. In a filing on Wednesday, the court fined Stephen Aarons $5,000 and held him in…
ASTRIL-MPC combines learned kinematics models with language-guided MPC for autonomous traversal of articulated tracked robots in complex environments.
Tree tensor networks model class reveals benign loss landscapes can coexist with worst-case hard-to-learn targets in neural nets.
Three-stage pipeline trains compact dense retrievers for Polish and European languages via cross-lingual alignment and knowledge distillation.
Physics-enriched neural solver for glacier ice-flow simulation warm-starts weights from low-order balance fields across time steps.
Mark Wahlberg joins Bruce K. Lee at Disrupt to discuss investing, entrepreneurship, healthcare, wellness and building businesses.
Commentary on translating AI principles to protocols and standards (EU AI Act, NIST AI RMF, ISO 42001) as institutional repair mechanisms.
CoRA-NAS combines zero-cost proxy ranking with learning-curve extrapolation for neural architecture search using 1% validation cost.
Deploying a large language model is only the first step toward production-ready serving. Production teams also need to serve as many concurrent users as... Deploying a large language model is only the first step toward production-ready serving. Production teams also need to…
Differential privacy framework anonymizes high-dimensional EEG clinical data while preserving utility for AI model training and healthcare research.
Reflex-informed reinforcement learning for muscle-driven locomotion balances physiological plausibility with adaptive control.
Neural controlled differential equations improve duration-aware acoustic modeling in TTS by treating phone representations as continuous-time control paths.
Voltage-to-time conversion readout for memristive spiking neural network crossbar arrays reduces area and power overhead in analog VMM implementations.
Apple is launching a new way to prove that the picture you took isn't manipulated by AI. A new feature, called "Reference Image," will arrive with the iPhone 18 Pro lineup later this month and is supposed to use the device's new camera sensor to "sign every pixel it sees." The…
Covariance neural networks tutorial unifies GNN theory with covariance matrices as graphs and pairwise statistical dependencies.
AI companies have been talking about superintelligent AI like it’s inevitable, but recent safety incidents like OpenAI’s Hugging Face breach are demonstrating the potential dangers of deploying AI systems that are more capable than humans. So what happens when we can’t reliably…