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Noticias de IA

22318 elementos — filtrados, clasificados y sin duplicados

arXiv cs.AI Research & Papers
Knowledge Graphs and Explainable AI as Complementary Resources for Urban Mining
arXiv cs.AI Research & Papers
Shared Selective Persistent Memory for Agentic LLM Systems
arXiv cs.AI Research & Papers
Ceci n'est pas une pipe: AI systems as semantic abstractions
arXiv cs.AI Research & Papers
Embodied Multi-Agent Coordination by Aligning World Models Through Dialogue
arXiv cs.AI Research & Papers
Tuning Derivatives for Causal Fairness in Machine Learning
arXiv cs.AI Research & Papers
The LLMbda Calculus: AI Agents, Conversations, and Information Flow
arXiv cs.AI Research & Papers
Preference Conditioned Multi-Objective Reinforcement Learning: Decomposed, Diversity-Driv…
arXiv cs.AI Research & Papers
Principles of Lipschitz continuity in neural networks
arXiv cs.AI Research & Papers
How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential …
arXiv cs.AI Research & Papers
Data-Driven Learnability Transition of Measurement-Induced Entanglement
arXiv cs.AI Research & Papers
H3Former: Hypergraph-based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contras…
arXiv cs.AI Research & Papers
Explaining Human Choice Probabilities with Simple Vector Representations
arXiv cs.AI Research & Papers
Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning o…
arXiv cs.AI Research & Papers
GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs
arXiv cs.AI Research & Papers
Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching
arXiv cs.AI Research & Papers
M4V: Multimodal Mamba for Efficient Text-to-Video Generation
arXiv cs.AI Research & Papers
Transformer-Empowered Actor-Critic Reinforcement Learning for Sequence-Aware Service Func…
arXiv cs.AI Research & Papers
Multi-Attribute Steering of Language Models via Targeted Intervention
arXiv cs.AI Research & Papers
HiPO: Hierarchical Preference Optimization for Adaptive Reasoning in LLMs
arXiv cs.AI Research & Papers
Towards Shutdownable Agents: Generalizing Stochastic Choice in RL Agents and LLMs
arXiv cs.AI Research & Papers
Rectification Difficulty and Optimal Sample Allocation in LLM-Augmented Surveys
arXiv cs.AI Research & Papers
PACE: A Personalized Adaptive Curriculum Engine for 9-1-1 Call-taker Training
arXiv cs.AI Research & Papers
Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmenta…
arXiv cs.AI Research & Papers
iLENS: Interpretable LLM-Guided Mixture-of-Experts for Neuroimaging Survival Analysis
arXiv cs.AI Research & Papers
Leveraging Multi-Agent System (MAS) and Fine-Tuned Small Language Models (SLMs) for Autom…
arXiv cs.AI Research & Papers
Beyond Embeddings: Interpretable Feature Extraction for Binary Code Similarity
arXiv cs.AI Research & Papers
QAgent: An LLM-based Multi-Agent System for Autonomous OpenQASM programming
arXiv cs.AI Research & Papers
Beyond Black-Box Obfuscation: Mechanistic Analysis and Defense of White-Box Monitors
arXiv cs.AI Research & Papers
PHINN-EEG: Topological Time-Series Analysis of Dream-State EEG -- Dynamic Betti Curves fo…
arXiv cs.AI Research & Papers
Evolution of Accuracy and Visual-Cognitive Errors in a Decade of Vision-Language AI Models