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Noticias de IA

22318 elementos — filtrados, clasificados y sin duplicados

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arXiv cs.AI Research & Papers
Beyond Self-Attention: Sub-Quadratic Vision Transformers for Fast Image Captioning
arXiv cs.AI Research & Papers
Running hardware-aware neural architecture search on embedded devices under 512MB of RAM
arXiv cs.AI Research & Papers
Integrating Multi-Label Classification and Generative AI for Scalable Analysis of User Fe…
arXiv cs.AI Research & Papers
When in Doubt, Plan It Out: Committed Small Language Model Deliberation for Reactive Rein…
arXiv cs.AI Research & Papers
The embrace of open science: An analysis of a decade of AI research and 56 800 conference…
arXiv cs.AI Research & Papers
RAID: Semantic Graph Diffusion for True Cold-Start and Cross-Lingual Forecasting
arXiv cs.AI Research & Papers
Greed Is Learned: Visible Incentives as Reward-Hacking Triggers
arXiv cs.AI Research & Papers
Efficient Reinforcement for Visual-Textual Thinking with Discrete Diffusion Model
arXiv cs.AI Research & Papers
Unifying Acoustic Features and Text with Multimodal LLMs for Neurodegenerative Screening
arXiv cs.AI Research & Papers
FactCheck: Feasibility-aware Long-term Action Anticipation with Multi-agent Collaboration
arXiv cs.AI Research & Papers
Know Your Limits : On the Faithfulness of LLMs as Solvers and Autoformalizers in Legal Re…
arXiv cs.AI Research & Papers
RecourseBench: A Modular Framework for Reproducible Algorithmic Recourse Evaluation
arXiv cs.AI Research & Papers
Mind-Studio: Executable World Models with Lookahead Evaluation for Partially Observable G…
arXiv cs.AI Research & Papers
Auditing Reward Hackability in Code RL Training Environments
arXiv cs.AI Research & Papers
SciText2Eq: Assessing LLMs for Explainable Equation Generation for Scientific Creativity
arXiv cs.AI Research & Papers
UrbanWell: Benchmarking Multimodal Large Language Models for Spatio-Temporal Urban Wellbe…
arXiv cs.AI Research & Papers
LLM-as-Code Agentic Programming for Agent Harness
arXiv cs.AI Research & Papers
RetailBench: Benchmarking long horizon reasoning and coherent decision making of LLM agen…
arXiv cs.AI Research & Papers
Heteroskedastic Signals in Budgeted LLM Verification: Structural Heterogeneity Limits Opt…
arXiv cs.AI Research & Papers
AIChilles: Automatically Uncovering Hidden Weaknesses in AI-Evolved Systems
arXiv cs.AI Research & Papers
An Integrated System for Real-Time Student Assessment and Career Guidance Using Neural Ne…
arXiv cs.AI Research & Papers
TrustedARI: Towards Trust-Native Agentic Routing Infrastructure for Agentic AI
arXiv cs.AI Research & Papers
X-Tokenizer: A Multimodal Action Tokenizer for Vision-Language-Action Pretraining
arXiv cs.AI Research & Papers
TNODEV: Toolbox for Neural ODE Verification
arXiv cs.AI Research & Papers
ROSA-RL: Uncertainty-Aware Roundabout Optimized Speed Advisory with Reinforcement Learning
arXiv cs.AI Research & Papers
Model Graph Inductive Learning for Knowledge Graph Completion
arXiv cs.AI Research & Papers
Post-Hoc Merging is Not Enough: Many-Shot Model Merging with Loss-Gap Balancing
arXiv cs.AI Research & Papers
Tensor-Coord: Algebraic Decomposition of Joint Plan Tensors for Conflict-Free Multi-Agent…
arXiv cs.AI Research & Papers
When Agent Automation Becomes Profitable: Quantifying and Insuring Autonomous AI Risk thr…
arXiv cs.AI Research & Papers
Posterior Twins: Distributional Behavioral Simulation for Enterprise Decisions