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Noticias de IA

27413 elementos — filtrados, clasificados y sin duplicados

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arXiv cs.AI Research & Papers
Optimal Scheduling in a Question-Answering Forum of Knowledge Workers
arXiv cs.AI Research & Papers
Beyond Entropy: Learning from Token-Level Distributional Deviations for LLM Reasoning
arXiv cs.AI Research & Papers
ORAgentBench: Can LLM Agents Solve Challenging Operations Research Tasks End to End?
arXiv cs.AI Research & Papers
Think Again or Think Longer? Selective Verification for Budget-Aware Reasoning
arXiv cs.AI Research & Papers
A Systematic Evaluation of Black-Box Uncertainty Estimation Methods for Large Language Mo…
arXiv cs.AI Research & Papers
MetaResearcher: Scaling Deep Research via Self-Reflective Reinforcement Learning in Adver…
arXiv cs.AI Research & Papers
Multi-Agent Transactive Memory
arXiv cs.AI Research & Papers
eCNNTO: A Highly Generalizable ConvNet for Accelerating Topology Optimization
arXiv cs.AI Research & Papers
Reward as An Agent for Embodied World Models
arXiv cs.AI Research & Papers
Process-Verified Reinforcement Learning for Theorem Proving via Lean
arXiv cs.AI Research & Papers
ScaffoldAgent: Utility-Guided Dynamic Outline Optimization for Open-Ended Deep Research
arXiv cs.AI Research & Papers
RACL: Reasoning-Agent Control Layers for Continuous Metaheuristic Learning
arXiv cs.AI Research & Papers
BIM-Edit: Benchmarking Large Language Models for IFC-Based Building Information Modeling
arXiv cs.AI Research & Papers
Modularity-Free Conflict-Averse Training for Generalized PINNs
arXiv cs.AI Research & Papers
Apparent Psychological Profiles of Large Language Models are Largely a Measurement Artifa…
arXiv cs.AI Research & Papers
Augmenting Game AI with Deep Reinforcement Learning
arXiv cs.AI Research & Papers
Thermodynamic Measure of Intelligence
arXiv cs.AI Research & Papers
Navigating Unreliable Parametric and Contextual Knowledge: Explicit Knowledge Conflict Re…
arXiv cs.AI Research & Papers
Uncertainty Decomposition for Clarification Seeking in LLM Agents
arXiv cs.AI Research & Papers
Lagrange: An Open-Vocabulary, Energy-Based Sparse Framework for Generalized End-to-End Dr…
arXiv cs.AI Research & Papers
Leveraging systems' non-linearity to tackle the scarcity of data in the design of Intelli…
arXiv cs.AI Research & Papers
CTS-MoE: Implicit Terrain Adaptation via Mixture-of-Experts for Perceptive Locomotion
arXiv cs.AI Research & Papers
Formal Verification of Learned Multi-Agent Communication Policies via Decision Tree Disti…
arXiv cs.AI Research & Papers
VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start…
arXiv cs.AI Research & Papers
SoftSkill: Behavioral Compression for Contextual Adaptation
arXiv cs.AI Research & Papers
Rethinking Shrinkage Bias in LLM FP4 Pretraining: Geometric Origin, Systemic Impact, and …
arXiv cs.AI Research & Papers
FAPO: Fully Autonomous Prompt Optimization of Multi-Step LLM Pipelines
arXiv cs.AI Research & Papers
IHBench: Evaluating Post-Interruption Recovery in Voice Agents with Structured Workflows
arXiv cs.AI Research & Papers
A BART-based approach with hierarchical strategy for Vietnamese abstractive multi-documen…
arXiv cs.AI Research & Papers
FlowFake: Liquid Networks for Audio Deepfake Detection