FDRMFL: Multimodal Federated Feature Extraction Model Based on Information Maximization a…
Explorar
Noticias de IA
22318 elementos — filtrados, clasificados y sin duplicados
Thinking Ahead: Foresight Intelligence in MLLMs and World Model
Refine Thought: A Test-Time Inference Method for Embedding Model Reasoning
NonTextual Target Attack
Explain Before You Answer: A Survey on Compositional Visual Reasoning
LHM-Humanoid: Long-Horizon Human Motion Control for Continuous Object Transport in Clutte…
A Study of Commonsense Reasoning over Visual Object Properties
Understanding Two-Layer Neural Networks with Smooth Activation Functions
Silent Neuron Theory and Plasticity Preservation for Deep Reinforcement Learning in Adapt…
When Summaries Distort Decisions: Information Fidelity in LLM-Compressed Financial Analys…
Terminus-4B: Can a Smaller Model Replace Frontier LLMs at Agentic Execution Tasks?
Participatory provenance as representational auditing for AI-mediated public consultation
Anomaly detection in time-series via inductive biases in the latent space of conditional …
Power and Limitations of Aggregation in Compound AI Systems
An Adaptive Differentially Private Federated Learning Framework
Framing Instability in LLM Ethical Stance: Auditing Negation Sensitivity in Moral Dilemmas
LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympi…
Neutral Substrates: A Design Constraint for Shared Records Under Persistent Interpretive …
Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Na…
Co-LMLM: Continuous-Query Limited Memory Language Models
Breaking Database Lock-in: Agentic Regeneration of High Performance Storage Readers for D…
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning
DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation
QCNN with Rough Path Signature Kernels
Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning
Creativity from Friction: Human-AI Interaction for Exploratory Structural Design
Single-Rollout Asynchronous Optimization for Agentic Reinforcement Learning
TimEE: End-to-end Time Series Classification via In-Context Learning
Beyond Attack-Success Rate: Action-Graded Severity Scale for Tool-Using AI Agents
Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthe…