arXiv Artificial IntelligenceLOCUS: Task-Aware Low-Rank Post-Training for Token-Efficient Language Generation
arXiv:2609.11739v1 Announce Type: cross Abstract: Large language model serving costs scale directly with…
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arXiv Artificial IntelligencearXiv Artificial IntelligenceORCH: Organizational Principles Enable Collective Intelligence in Embodied AI
arXiv:2609.11737v1 Announce Type: cross Abstract: Collective intelligence depends not only on the…
arXiv Artificial IntelligenceContinuous-Time Acoustic Modelling with Neural Controlled Differential Equations
arXiv:2609.11725v1 Announce Type: cross Abstract: Text-to-speech (TTS) models commonly address text--speech…
arXiv Artificial IntelligenceA Time-Based Readout for Vector-Matrix Multiplication in Fully Analog Memristive SNNs
arXiv:2609.11713v1 Announce Type: cross Abstract: Artificial neural networks rely on vector-matrix…
arXiv Artificial IntelligenceLanguage-Augmented Semantic Priors for B-Spline Surface Fitting
arXiv:2609.11708v1 Announce Type: cross Abstract: The use of B-splines and Non-Uniform Rational B-Splines…
arXiv Artificial IntelligenceActSafeGuard: Differentiable and Training-Aligned Constraint Enforcement for Flow-Matching Policies
arXiv:2609.11697v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) and World-Action Models (WAMs)…
arXiv Artificial IntelligenceEcdysis: Efficient and Effective Training of Runtime Harnesses for LLM Agents
arXiv:2609.11677v1 Announce Type: cross Abstract: Self-evolving runtime harnesses can substantially improve…
arXiv Artificial IntelligenceWarrant Theory
arXiv:2609.11667v1 Announce Type: cross Abstract: In this paper, we develop warrant theory as a philosophical…
arXiv Artificial IntelligenceZipCodec: Ultra-Low-Frame-Rate Streaming Speech Coding
arXiv:2609.11642v1 Announce Type: cross Abstract: Neural audio codecs are a fundamental component of modern…
arXiv Artificial IntelligenceLoaDiff: Conditional Generation of Electricity Consumption Time Series for Energy Analytics
arXiv:2609.11639v1 Announce Type: cross Abstract: The energy transition is reshaping residential electricity…
arXiv Artificial IntelligencePhysics-Informed Neural Networks to Infer the Perpendicular Energy Conductivity in the Scrape-Off Layer of Stellarator Devices
arXiv:2609.11628v1 Announce Type: cross Abstract: In this work, we develop an inverse Physics-Informed Neural…
arXiv Artificial IntelligenceLearn the Solid, Not the File: Canonical Inputs for Neural Networks on CAD Boundary Representations
arXiv:2609.11573v1 Announce Type: cross Abstract: Boundary representation (B-rep) is the standard format used…
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