An Ontology-Based Approach to Optimizing Geometry Problem Sets for Skill Development
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Noticias de IA
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MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Med…
A Robust Pipeline for Differentially Private Federated Learning on Imbalanced Clinical Da…
Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Re…
When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas
Carpe Diem: Critical Learning Period-Aware Contract-Based Incentives for Federated Learni…
TextSLIP: Text Self-Supervised CLIP for Medical Report Generation
FSE: Continual Learning for Named Entity Recognition by Fast-Slow Experts
SwiftMem: Fast Agentic Memory via Query-aware Indexing
AuditRepairBench: A Paired-Execution Trace Corpus for Evaluator-Channel Ranking Instabili…
Decentralized Multi-Agent Swarms for Autonomous Grid Security in Industrial IoT: A Consen…
Math Education Digital Shadows for Investigating Learning with GenAI: Mathematics Perform…
Generalized Neural Operator for Parametric and Boundary-Value Problems
Automatic Stability and Recovery for Neural Network Training
Benchmarking the Safety of Large Language Models for Robotic Health Attendant Control
Same World, Differently Given: History-Dependent Perceptual Reorganization in Artificial …
Exploring Robust Multi-Agent Workflows for Environmental Data Management
DeepFeature: LLM-Empowered Context-aware Feature Generation for Wearable Biosignals
Hyperball May Not Be a Free Lunch
Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning
From Mind to Machine: The Rise of Manus AI as a Fully Autonomous Digital Agent
Integrating Reasoning Systems for Trustworthy AI, Proceedings of the 4th Workshop on Logi…
Learning to Prepare Molecular Ground States with Transformer Models
Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support
SM4RT: Learning Structured Motion Geometry for 4D Reconstruction
Opaque Epistemic Mediation: How LLM Deployment Configurations Shape the Validation of Pse…
CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research…
Every Model Cheats: Prompt-Level Mitigation of Cheating on Offensive Cyber Tasks
Deep Sigma Point Processes for RCS Modeling in Spaceborne SAR Imagery
\k{appa}-LoRA: Condition Numbers Reveal Which LoRA Matrices Worth Updating