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Noticias de IA

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arXiv cs.AI Research & Papers
Beyond Accuracy and Cost: Latency-Aware LLM Query Routing for Dynamic Workloads
arXiv cs.AI Research & Papers
Semantic Cooperative Games for Contribution Attribution in LLM-Based Multi-Agent Systems
arXiv cs.AI Research & Papers
Probabilistic Concept-Aware Steering for Trustworthy LLM Inference
arXiv cs.AI Research & Papers
When JSON Is Not Enough: Semantic Reliability of Schema-Constrained LLM Ordering Agents
arXiv cs.AI Research & Papers
Athena-Brain Technical Report: An Efficient Robot Brain for General Intelligence and Embo…
arXiv cs.AI Research & Papers
On the Effectiveness of Pretraining for Graph Combinatorial Optimization
arXiv cs.AI Research & Papers
Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforc…
arXiv cs.AI Research & Papers
Sequential Learner Modeling Using Multi-Relational Graph Convolutional Networks
arXiv cs.AI Research & Papers
BioSecBench-Surveillance: A Verifiable Benchmark for AI Agents in Pathogen Genomic Survei…
arXiv cs.AI Research & Papers
Compressing What Matters: Neuron Importance Meets Data-Aware Low Rank Approximation for L…
arXiv cs.AI Research & Papers
BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a …
arXiv cs.AI Research & Papers
Towards Principled Continual Anomaly Detection: A Systematic Framework and Benchmark Scen…
arXiv cs.AI Research & Papers
SechKAN: Kolmogorov-Arnold Networks with Hyperbolic Secant Functions
arXiv cs.AI Research & Papers
Dual-domain fused LSTM modeling for efficient time-dependent reliability analysis
arXiv cs.AI Research & Papers
Reliability Scales Inversely: Bigger Models Compound Mistakes Faster via a Hidden Auto-Re…
arXiv cs.AI Research & Papers
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization
arXiv cs.AI Research & Papers
BatchDAG: LLM-Planned Execution Graphs for Scalable Ad-Hoc Analysis Over Enterprise Data
arXiv cs.AI Research & Papers
From Agent Failure Paths to Quantified Residual Risk: A Compositional Framework for Resil…
arXiv cs.AI Research & Papers
Phionyx: A Deterministic AI Runtime Architecture with Structured State Management and Pre…
arXiv cs.AI Research & Papers
MILP-Evo: Closed-Loop Fully Automatic Design of MILP Solvers
arXiv cs.AI Research & Papers
Cross-Dialect Generalization Without Retraining: Benchmarks and Evaluation of Schema-Deri…
arXiv cs.AI Research & Papers
PEARL: Solver-in-the-Loop Interactive Optimization Modeling from Natural Language
arXiv cs.AI Research & Papers
S2T-RLHF: Hierarchical Credit Assignment for Stable Preference-Based RLHF
arXiv cs.AI Research & Papers
FindStatBench: Evaluating Large Language Models on Combinatorial Code Synthesis
arXiv cs.AI Research & Papers
ProbSPARQL: Querying Knowledge Graphs with Multi-dimensional, Uncertain Numeric Data
arXiv cs.AI Research & Papers
MUX: Continuous Reasoning via Multiplexed Tokens
arXiv cs.AI Research & Papers
State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation
arXiv cs.AI Research & Papers
Wisdom of LLM Crowds: Aggregation and Contamination in Language Model Ensembles
arXiv cs.AI Research & Papers
Using LLMs for Explainable, Data-Driven Insight Generation from Time Series
arXiv cs.AI Research & Papers
Deep Reinforcement Learning to Master the Asymmetric Strategy of Baghchal