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Noticias de IA

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arXiv cs.AI Research & Papers
Selective Regenerative Decoding: Trajectory-Level Intervention for Inference-Time Reasoni…
arXiv cs.AI Research & Papers
ReproAgent: Contract-Guided Paper-to-Code Reproduction
arXiv cs.AI Research & Papers
A Dual-Dimensional LLM Framework for Automated Item Incidental Content Similarity Analysi…
arXiv cs.AI Research & Papers
Serving Masked Diffusion LLMs: Characterization and Design Principles from Real Hardware
arXiv cs.AI Research & Papers
TW-LegalBench: Measuring Taiwanese Legal Understanding
arXiv cs.AI Research & Papers
Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and …
arXiv cs.AI Research & Papers
Metadata-Aware Adaptation of a Generative Foundation Model for Conditional CMR Synthesis
arXiv cs.AI Research & Papers
Relative Time Intervals Representation for Word-level Timestamping with Masked Training
arXiv cs.AI Research & Papers
When Less Is More: An Empirical Study of Minimal Responses in Counseling Dialogues and th…
arXiv cs.AI Research & Papers
VisCache: Visual KV Cache Pruning for Efficient Vision Large Language Model Inference
arXiv cs.AI Research & Papers
Preference Optimization for Non-Verbal Vocalization Synthesis
arXiv cs.AI Research & Papers
How much of a measured AI preference is the model, and how much is the instrument?
arXiv cs.AI Research & Papers
Gated Activation Steering for Reducing Sycophancy & Hallucination in Medical Question Ans…
arXiv cs.AI Research & Papers
SA-Bench: Evaluating Semantic Alignment in LLM-Based Paper Reproduction
arXiv cs.AI Research & Papers
Preference Data Selection for Mitigating the Alignment Tax in Large Language Models
arXiv cs.AI Research & Papers
TRACE: Transition-Aware Residual Control for Multi-Objective Materials Discovery
arXiv cs.AI Research & Papers
Can large language models assist choice modelling? Insights into prompting strategies and…
arXiv cs.AI Research & Papers
Infant Care Video Dataset for Classification of Interventions Using Transformers
arXiv cs.AI Research & Papers
Design-to-Plan: A Large Language Model-Based Multi-Agent Framework for Manufacturing Proc…
arXiv cs.AI Research & Papers
Scalable and Versatile Identification for Hierarchical Structural Causal Models: A New Lo…
arXiv cs.AI Research & Papers
EmoTra-TTS: Smooth Intra-Utterance Emotion Transitions for Speech Synthesis
arXiv cs.AI Research & Papers
Constrained Hyperparameter Optimization for Streaming Data
arXiv cs.AI Research & Papers
Equivariant Covariance Tensors: Guaranteed SPD Uncertainty for Tensor-Valued Geometric Le…
arXiv cs.AI Research & Papers
StrokeGuard: A Multi-Agent Guided System for Prehospital Stroke Assessment
arXiv cs.AI Research & Papers
Enhancing Bayesian Optimization and Active Learning Through Kernel Diversity
arXiv cs.AI Security & Safety
Beyond the Mandate: A Systematic Security Analysis of the Agent Payments Protocol (AP2)
arXiv cs.AI Research & Papers
Not All Tokens Are Equal: Region-Aware Consistency Repair of Backdoors in MLLMs
arXiv cs.AI Research & Papers
From Gradient-Boosted Trees to Deep Recommenders: Practical Lessons from Migrating a Prod…
arXiv cs.AI Research & Papers
Automatic Model Card Generation Using an LLM
arXiv cs.AI Research & Papers
Knowing When to Ask for Help: Bayesian Self-Escalation in Hierarchical LLM Agents