QuantFlow: A Federated Mamba-Based Post-Transformer Foundation Model for Time-Series Fore…
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Noticias de IA
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Federated Learning for Object Detection: Enabling Collaborative Drone Learning Without Ce…
Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting
Metronome: Bound the Cache, Keep the Beat for Real-Time Interaction Model Serving
K9-Bench: Evaluating Multimodal LLMs on Canine-Centric Videos
LLMoxie: Exploring Agentic AI for Scientific Software Development
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment
When Outcome Looks Right But Discipline Fails: Trace-Based Evaluation Under Hidden Compet…
Attributing Emergence in Million-Agent Systems
Agentic Retrieval-Augmented Generation for Financial Document Question Answering
Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models
Stop Automating Peer Review Without Rigorous Evaluation
CAP-CoT: Cycle Adversarial Prompt for Improving Chain of Thoughts in LLM Reasoning
Gypscie: A Cross-Platform AI Artifact Management System
Signal from Space: Detecting Schools and Towers to Bridge the Digital Divide
The Anatomy of Uncertainty in LLMs
Mecha-nudges for Machines
On the Ability of Transformers to Verify Plans
HVR-Met: A Hypothesis-Verification-Replanning Agentic System for Extreme Weather Diagnosis
ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning
Framework of Thoughts: A Foundation Framework for Dynamic and Optimized Reasoning based o…
NEST: Nascent Encoded Steganographic Thoughts
Programming over Thinking: Efficient and Robust Multi-Constraint Planning
OpenTinker: Separating Concerns in Agentic Reinforcement Learning
The Language of Bargaining: Linguistic Effects in LLM Negotiations
Turbo-Muon: Almost-Orthogonal Pre-Conditioning for Fast Muon Updates
Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-…
Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent Collabor…
RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for …
Out-of-Distribution Generalization of Risk Aversion in Language Models