Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model towar…
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Noticias de IA
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Scores Are Not Decisions: Cost-Aware Stopping for Tool Acquisition in LLM Agents
Parameter-Free Dynamic Regret for Online Convex Optimization under Heavy-Tailed Noise
Archetypes or ability? Clustering for modelling student mathematical competence
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models
GuideSkill: Evolving Executable LLM Agent Skills for Guideline-Grounded Clinical Reasoning
One Run Is Not an Idea: The Implementation Lottery in Automated Research
Decoupled Visual Processing: Efficient Multimodal Adaptation via Modality-Specific Transf…
When benchmark inferences do not compose: Projectibility in AI evaluation
MediaWiki Code2Code Search: Neural Retrieval for the Semantic Discovery of Open-Source So…
Zero-Shot Face-to-Speech Synthesis via Latent Space Adaptation of a Style-Diffusion TTS M…
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems
Filesystem-Based Memory for LLM Agents: Organization, Evolution, and Sustainability
MPEcho: A Melody and Phoneme-Aware Generative Framework for Controllable Cover Song Gener…
The Cost of Knowing: A Resource-Aware Protocol for Benchmarking Hallucination Beyond Stat…
Contextualized Counterspeech Can Be More Persuasive Than Generic Counterspeech
MICA: Multi-granularity Intertemporal Credit Assignment for Long-Horizon Emotional Suppor…
See2Think: Do Multimodal Models Really Use Intermediate Visual States?
Hearsay: Vision-Language Medical Diagnoses Without an Image
AgentGUI: An Interface for Observing and Steering Long-Running AI Agents
Shot-based quantum encoding: a data-loading paradigm for quantum neural networks
Can AI agents conduct open-ended AI research? Early evidence from two case studies
Living-Harness Is an Interactive-Agent Evolver
SARC-DQ: Runtime Data-Quality Gating for Agentic AI: Silent Evidence Defects, the Incompe…
An Attention-Based Framework for Alzheimers Disease Classification Using Resting-State fM…
The Age of AI Agents Demands A New Scientific Paradigm To Sustain Trustworthy Science
AI Security Priorities: A Field-Wide Agenda
Model-Driven Requirements Configuration with Three-Valued Uncertainty Scoring
Try Again, Don't Look Back: Blind Resampling Outperforms Self-Repair in Small Code Models
Emergent Sparsity in Frozen Random CNN Feature Extractors for Deep Reinforcement Learning