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Noticias de IA

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arXiv cs.AI Research & Papers
Good Token Hunting: A Hitchhiker's Guide to Token Selection for Visual Geometry Transform…
arXiv cs.AI Research & Papers
ETCHR: Editing To Clarify and Harness Reasoning
arXiv cs.AI Research & Papers
It's the humans, not the data: Geopolitical bias in LLMs originates in post-training, amp…
arXiv cs.AI Research & Papers
Any2Any: Efficient Cross-Embodiment Transfer for Humanoid Whole-Body Tracking
arXiv cs.AI Research & Papers
LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws
arXiv cs.AI Research & Papers
Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints
arXiv cs.AI Research & Papers
Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quan…
arXiv cs.AI Research & Papers
MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchest…
arXiv cs.AI Research & Papers
ALIVE: Awakening LLM Reasoning via Adversarial Learning and Instructive Verbal Evaluation
arXiv cs.AI Research & Papers
NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG…
arXiv cs.AI Research & Papers
Agentivism: a learning theory for the age of artificial intelligence
arXiv cs.AI Research & Papers
Retrieval Is Not Enough: Why Organizational AI Needs Epistemic Infrastructure
arXiv cs.AI Research & Papers
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning
arXiv cs.AI Research & Papers
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
arXiv cs.AI Research & Papers
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models
arXiv cs.AI Research & Papers
Naturalistic Computational Cognitive Science: Towards generalizable models and theories t…
arXiv cs.AI Research & Papers
GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral M…
arXiv cs.AI Research & Papers
GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missin…
arXiv cs.AI Research & Papers
Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
arXiv cs.AI Research & Papers
GILT: An LLM-Free, Tuning-Free Graph Foundational Model for In-Context Learning
arXiv cs.AI Research & Papers
Learning Through Noise: Why Subliminal Learning Works and When It Fails
arXiv cs.AI Research & Papers
Sparser Block-Sparse Attention via Token Permutation
arXiv cs.AI Research & Papers
Investigating Robot Control Policy Learning for Autonomous X-ray-guided Spine Procedures
arXiv cs.AI Research & Papers
DocVAL: Validated Chain-of-Thought Distillation for Grounded Document VQA
arXiv cs.AI Research & Papers
Operator-Based Generalization Bound for Deep Learning: Insights on Multi-Task Learning
arXiv cs.AI Research & Papers
On the Koopman-Based Generalization Bounds for Multi-Task Deep Learning
arXiv cs.AI Research & Papers
SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Func…
arXiv cs.AI Research & Papers
CoFrGeNet: Continued Fraction Architectures for Language Generation
arXiv cs.AI Research & Papers
PipeMFL-240K: A Large-scale Dataset and Benchmark for Object Detection in Pipeline Magnet…
arXiv cs.AI Research & Papers
Does Your Wildfire Prediction Model Actually Work, or Just Score Well?