DRL-Driven Edge-Aware Utility Optimization for Multi-Slice 6G Networks
Explorar
Noticias de IA
21010 elementos — filtrados, clasificados y sin duplicados
When Do LLMs Reason? A Dynamical Systems View via Entropy Phase Transitions
Human-in-the-Loop Multi-Agent Ventilator Decision Support with Contextual Bandit Preferen…
Design and Report Benchmarks for Knowledge Work
GENSTRAT: Toward a Science of Strategic Reasoning in Large Language Models
Redrawing the AI Map: A Theory of Accountability Boundaries in Agentic Ecosystems
ImProver 2: Iteratively Self-Improving LMs for Neurosymbolic Proof Optimization
Human-Centered Learning Mechanics: A Dynamical Framework for Entropy-Regulated Representa…
ObjectCache: Layerwise Object-Storage Retrieval for KV Cache Reuse
The Cognitive Kardashev Scale: Quantifying the Material Envelope of Civilisational Comput…
SPACENUM: Revisiting Spatial Numerical Understanding in VLMs
Solving the Aircraft Disassembly Scheduling Problem
DART: Semantic Recoverability for Structured Tool Agents
Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems
Energy per Successful Goal: Goal-Level Energy Accounting for Agentic AI Systems
Proxy-Based Approximation of Shapley and Banzhaf Interactions
Fine-grained Claim-level RAG Benchmark for Law
Brain-LLM Alignment Tracks Training Data, Not Typology
Long-Context Reasoning Through Proxy-Based Chain-of-Thought Tuning
Distilling Linearized Behavior into Non-Linear Fine-Tuning for Effective Task Arithmetic
TwinRouterBench: Fast Static and Live Dynamic Evaluation for Realistic Agentic LLM Routing
DynMuon: A Dynamic Spectral Shaping View of Muon
S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination
Bridging the Last Mile of Circuit Design: PostEDA-Bench, a Hierarchical Benchmark for PPA…
Dream-MPC: Gradient-Based Model Predictive Control with Latent Imagination
Skill Retrieval Augmentation for Agentic AI
Understanding Task Aggregation for Generalizable Ultrasound Foundation Models
A Systematic Evaluation of Co-folding Model Representations for Small-Molecule Learning
On the Infinite Width and Depth Limits of Predictive Coding Networks
More Context, Larger Models, or Moral Knowledge? A Systematic Study of Schwartz Value Det…