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Noticias de IA

22115 elementos — filtrados, clasificados y sin duplicados

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arXiv cs.AI Research & Papers
Break Through the Compression Bottleneck: From Theory to Practice
arXiv cs.AI Research & Papers
Confidently Deceptive: How Confidence Amplifies the Risk of LLM Deception
arXiv cs.AI Research & Papers
Joint Utilization of Geospatial and census proxies for Autoencoder-Assisted Downscaling (…
arXiv cs.AI Research & Papers
The Storyteller in the Model: Narrative Pattern Inheritance, Escalation Dynamics, and Ali…
arXiv cs.AI Research & Papers
Response drift across frontier large language models
arXiv cs.AI Research & Papers
RE-AD: Real-Time Requirement Adherence for Data Labeling
arXiv cs.AI Research & Papers
PromptPack: Scaling LLM Annotation Agents for Online Recommendation
arXiv cs.AI Research & Papers
Dropping the Anchor: Statistical Context Summarization for Distributed Systems via Pulsar…
arXiv cs.AI Research & Papers
CAMeR: Keyword-Gated Hybrid Activation for Adaptive Memory Retention in LLM Agents
arXiv cs.AI Research & Papers
THOR: A Theta-Gamma Hierarchical Oscillatory Reasoning Framework for Multi-hop QA
arXiv cs.AI Research & Papers
Can Valence Reflect Morality in Natural Language? A Preliminary Annotation Study
arXiv cs.AI Research & Papers
Semi-Supervised Text-Attributed Graph Distillation
arXiv cs.AI Research & Papers
More Is Not More: What Matters for Diversity in LLM Opinions?
arXiv cs.AI Research & Papers
Verifier-First Evaluation of Agentic LLMs for Infrastructure-as-Code Generation
arXiv cs.AI Research & Papers
PhantomFill: When the Form Demands an Answer, Language Models Invent One
arXiv cs.AI Research & Papers
The Active Ingredient in Muon's Grokking
arXiv cs.AI Research & Papers
From Attention to Frequency: Integration of Vision Transformer and FFT-ReLU for Enhanced …
arXiv cs.AI Research & Papers
Deblurring in the Wild: A Real-World Image Deblurring Dataset from Smartphone High-Speed …
arXiv cs.AI Research & Papers
Scaling Closed-Loop Feature Channel Configuration with LLMs
arXiv cs.AI Research & Papers
Uncertainty-Aware Trust Estimation for Multi-LLM Systems via Structured Expert Judgement
arXiv cs.AI Research & Papers
Bound-Founded Semantics for Answer Set Programming with Difference Constraints: Prelimina…
arXiv cs.AI Research & Papers
Identifying Good Rules for Efficient SAT Encodings of Single-Constant Multiplication Usin…
arXiv cs.AI Research & Papers
Beyond Sycophancy: Structured Resistance and Compliance in LLM Moral Reasoning
arXiv cs.AI Research & Papers
CLOE: Christoffel Loss Autoencoder for Anomaly Detection
arXiv cs.AI Research & Papers
A Graph Neural Network approach to zero-shot Digital Twins
arXiv cs.AI Research & Papers
ReliableTableQA:How Much Supervision Does Reliability Annotation Need?
arXiv cs.AI Research & Papers
Explaining Weather Bulletins via ILP
arXiv cs.AI Research & Papers
Safeguards for Speech2Speech LLM-Assistants: A Case Study in Automotive Applications
arXiv cs.AI Research & Papers
Optimizing Hypergraph-Based RAG: Toward Better Fact Extraction and Chunk Retrieval
arXiv cs.AI Research & Papers
Codec-Gauge: Learning Compression-Friendly Gauges for Transformer KV Caches