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Noticias de IA

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arXiv cs.AI Research & Papers
Visual Graph Scaffolds for Structural Reasoning in Large Language Models
arXiv cs.AI Research & Papers
GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance
arXiv cs.AI Research & Papers
TriEval: A Resource-Efficient Pipeline for LLM Bias, Toxicity, and Truthfulness Assessment
arXiv cs.AI Research & Papers
Handoff Debt: The Rediscovery Cost When Coding Agents Take Over Interrupted Tasks
arXiv cs.AI Research & Papers
Do Real-World Datasets Contain Natural Experiments? An Empirical Study Using Causal Featu…
arXiv cs.AI Research & Papers
Bridging Auxiliary Constraints to Resolve Instruction Following in Large Reasoning Models
arXiv cs.AI Research & Papers
SkillDAG: Self-Evolving Typed Skill Graphs for LLM Skill Selection at Scale
arXiv cs.AI Research & Papers
Think-Before-Speak: From Internal Evaluation to Public Expression in Multi-Agent Social S…
arXiv cs.AI Research & Papers
DeskCraft: Benchmarking Desktop Agents on Professional Workflows and Human-in-the-Loop Co…
arXiv cs.AI Research & Papers
TASTE: A Designer-Annotated Multi-Dimensional Preference Dataset for AI-Generated Graphic…
arXiv cs.AI Research & Papers
Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models
arXiv cs.AI Research & Papers
How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance
arXiv cs.AI Research & Papers
Towards Compact Autonomous Driving Perception with Balanced Learning and Multi-sensor Fus…
arXiv cs.AI Research & Papers
Pretraining Language Models on Historical Text
arXiv cs.AI Research & Papers
MUSE: A Unified Agentic Harness for MLLMs
arXiv cs.AI Research & Papers
Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale
arXiv cs.AI Research & Papers
SleepVLM: Explainable and Rule-Grounded Sleep Staging via a Vision-Language Model
arXiv cs.AI Research & Papers
KnapSpec: Self-Speculative Decoding via Adaptive Layer Selection as a Knapsack Problem
arXiv cs.AI Research & Papers
TimeOmni-VL: Unified Models for Time Series Understanding and Generation
arXiv cs.AI Research & Papers
Whom to Query for What: Adaptive Group Elicitation via Multi-Turn LLM Interactions
arXiv cs.AI Research & Papers
Whose Name Comes Up? II: Benchmarking and Intervention-Based Auditing of LLM-Based Schola…
arXiv cs.AI Research & Papers
$\mathbb{R}^{2k}$ is Theoretically Large Enough for Embedding-based Top-$k$ Retrieval
arXiv cs.AI Research & Papers
Distill-then-Replace: Efficient Task-Specific Hybrid Attention Model Construction
arXiv cs.AI Research & Papers
PHASE: Physiology-Aware Hyperspectral Reconstruction via Object-to-Human Domain Adaptation
arXiv cs.AI Research & Papers
Semantic knowledge guides innovation and drives cultural evolution
arXiv cs.AI Research & Papers
DeMuon: A Decentralized Muon for Matrix Optimization over Graphs
arXiv cs.AI Research & Papers
Rethinking Molecular Text Representations for LLMs: An Empirical Study
arXiv cs.AI Research & Papers
Non-Identical Diffusion Models in MIMO-OFDM Channel Generation
arXiv cs.AI Research & Papers
CoMPAS3D: A Dataset and Benchmark for Interactive Motion
arXiv cs.AI Research & Papers
Learn When and Where to Connect: Adaptive Virtual Nodes for Dynamic Message Passing on Gr…