GAUGE: A Measurement-Grounded Benchmark for Physical Fidelity in Simulation Engines and V…
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Noticias de IA
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VLMs for Videogame Data Annotation
Training a Conditioned Video Game Agent on a VLM Annotated Dataset
Stability of Ranking-dependent Pair-wise Comparison Patterns in the Analytic Hierarchy Pr…
Temporal Bridges for Spatial Resolution: Enhancing Climate Data Super-Resolution with Bid…
AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning
OPERA: Operator-residual feedback for reliable autonomous optical experiments with langua…
Hybrid Machine Learning Framework for Herd-Level Cattle Growth Pattern and Weight Gain Fo…
HERALD: Counterfactual Audits and Minimal Repairs for Proof-of-Retrieval Rewards
Gender-Based Heterogeneity in Youth Privacy-Protective Behavior for Smart Voice Assistant…
NavTrust: Benchmarking Trustworthiness for Embodied Navigation
When Drafts Evolve: Speculative Decoding Meets Online Learning
MM-ISTS: Cooperating Irregularly Sampled Time Series Forecasting with Multimodal Vision-T…
Stochastic Parrots or Singing in Harmony? Testing Five Leading LLMs for their Ability to …
Trust-Based Incentive Mechanisms in Semi-Decentralized Federated Learning Systems
PhaseCoder: Microphone Geometry-Agnostic Spatial Audio Understanding for Multimodal LLMs
FI-TW: An Open Train-Weather Dataset for Railway Delay Analysis in Finland
d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Agentic Software Issue Resolution with Large Language Models: A Survey
Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Se…
Large Language Models Threaten Double-blind Review
Accelerating Q-learning through Efficient Value-Sharing across Actions
As You Wish: Mission Planning with Formal Verification using LLMs in Precision Agriculture
CP-MoE: Consistency-Preserving Mixture-of-Experts for Continual Learning
Reducing Hallucination in Vision-Language Models via Stage-wise Preference Optimization u…
Fast Rates for Inverse Reinforcement Learning
Correct Answers from Sound Reasoning: Verifiable Process Supervision for Language Models
Skill Neologisms: Towards Skill-based Continual Learning
Supervised Learning Has a Geometric Blind Spot
A note on conditional PAC-efficient reasoning in large language model routing