NORi: An ML-Augmented Ocean Boundary Layer Parameterization
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Noticias de IA
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Agentic Commerce World: An Auditable and Verifiable Environment for Vibe Commerce
ApplE: A Modular Ontology of Applied Ethics and Event Context for Ethical Decision Modeli…
Belief-Contraction-Driven Active Inverse Source Localization and Characterization
Sheaf-theoretic Signal Processing on Graphs: Spectral Theory, Filtering, and Sampling
DeVIT: Low-Power Vision Transformer Acceleration Using Delta Computation
CoEvoKG: Co-Evolving Knowledge Graphs with Self-Evolving Search Agents
Right Answer, Wrong Method: Shortcut Hacking Misleads the Evaluation of LLM Reasoning on …
Language Equality has a Price: A Systematic Investigation of Multi-turn LLM Performance f…
Oscillatory Hierarchical Reservoirs for Human-like Rhythm Perception and Anticipation
Tracing LLM Behavior to the Training Data with Empirical Next-Token Distributions
Multi-Objective Structured Pruning of LLMs for Latency and Model Size Optimization
Design Theater: Evaluating the Gap Between User-Facing Design Reasoning and Implementatio…
EntailLLM: Verifying LLM-Generated Vulnerability Discovery Paths with Domain Knowledge vi…
Beyond One Output: Visualizing and Comparing Distributions of Language Model Generations
Pro$^2$Assist: Continuous Step-aware Proactive Assistance with Multi-modal Egocentric Per…
Rethinking Inference-Time Scaling: Efficiency Limits and Linguistic Signals
Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O…
Geometric Analysis of Token Selection in Multi-Head Attention
Wnuan: Staged Post-Training for Question Answering over Proprietary Enterprise Knowledge
Shared Prefixes, Better Credit: Adaptive Routing for Multi-Agent Reasoning
MemArbiter: Decision-Time Memory Arbitration for Long-Horizon LLM Agents
Evolving in the Agent Jungle via History-Informed Opponent Awareness
Antares: Foundation Models for Agentic Vulnerability Localization
Faster-WAM: Do World Action Models Need Deep Action Modules?
Agentic Incident Response through Digital Twin-Enhanced Multiscale Planning
Syntax Meets Semantics: Understanding Scientific Formulae
Who Should Be Generated? Justifying Demographic Targets in Open-Ended Generation
Near-Optimal Reinforcement Learning for Constrained Recurrence Objectives
GLAIM: Learning Global and Local Adaptive Inter-Variable Dependency for Multivariate Time…