Not All NVFP4 QAT Recipes Are Equal: How Architecture and Scale Shape Model Quality for A…
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Noticias de IA
27413 elementos — filtrados, clasificados y sin duplicados
The Future of Facts: Tracing the Factual Generation-Verification Gap
Benchmarks are Not Enough: RAMP for Runtime Assessing of Agentic Models in Production Sys…
Do Agents Need Semantic Metadata? A Comparative Study in Agentic Data Retrieval
Debate Helps Weak Judges Reward Stronger Models
HEAL: Resilient and Self-* Hub-based Learning
Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognitio…
AgensFlow: A Coordination-Policy Substrate for Multi-Agent Systems
Preference-Shaped Expected Hypervolume and R2 Improvement: Exact Computation and Monotoni…
Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer
Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 3…
StoryMI: Steerable Multi-Agent Therapeutic Dialogue Generation
Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for…
LNN-PINN: A Unified Physics-Only Training Framework with Liquid Residual Blocks
Heterogeneous Multi-Agent Modeling for Measurement and Network Analysis of the Data Servi…
Tackling Multimodal Learning Challenges with Mixture-of-Expert: A Survey
Position: The Turing-Completeness of Autoregressive Transformers Relies Heavily on Contex…
VeriTrip: A Verifiable Benchmark for Travel Planning Agents over Unstructured Web Corpora
AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
Compliance versus Sensibility: On the Reasoning Controllability in Large Language Models
Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainabl…
Using Zero-Shot LLM-Generated Survey Data for Geographically Explicit Population Synthesis
Tree of Thoughts as a Classical Heuristic Search Problem: Formal Foundations and Design P…
Advancing Direct Training for Spiking Neural Networks with Circulate-Firing Neurons and L…
EvoSpec: Evolving Speculative Decoding via Real-Time Vocabulary and Parameter AdaptationT…
Quantifying the Reconstructability of Astrophysical Methods with Large Language Models an…
From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and…
Do Agents Know What They Can't Do? Evaluating Feasibility Awareness in Tool-Using Agents
Diffusion Large Language Models for Visual Speech Recognition
From Instructor to Collaborator: What a 90-Participant Study Reveals about Human-Agent Co…