Classifying daily activities needs posture, reconstructing them needs motion
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Noticias de IA
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The Caf\'e in Amsterdam: When the Incumbent Becomes the Oracle
Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for…
Data-Efficient Adaptation of LLMs via Attention Head Reweighting
Consensus as Privileged Context for Label-Free Self-Distillation
Discrete Diffusion Models: A Unified Framework from Tokenization to Generation
Explainable Artificial Intelligence for Anomaly Detection in Banking Transactions: An Int…
SAFETY SENTRY: Context-Aware Human Intervention via EXECUTE-ASK-REFUSE Routing
UESF-Bench: Benchmarking and Probing for Unified Embodied Seeking and Following
AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities
A Self-Evolving Agent for Longitudinal Personal Health Management
Generative Compilation: On-the-Fly Compiler Feedback as AI Generates Code
Multi-Expert Routing for Multi-Domain Low-Resource OCR: A Manchu Case Study
MASPRM: Multi-Agent System Process Reward Model
Grounded world models in biological organisms and future embodied AI
Cover First, Disagree Softly: Rethinking Mismatch-First Active Learning for Frame-Level A…
From Language to Navigation Goals: A Vision-Language Approach for Semantic Navigation of …
Discovering Ordinary Differential Equations with LLM-Based Qualitative and Quantitative E…
Groc-PO: Grounded Context Preference Optimization for Truthful Multimodal LLMs
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning
NodeImport: Imbalanced Node Classification with Node Importance Assessment
Unleashing Multimodal Large Language Models for Training-free HOI Detection in the Wild
Optimization Is Not All You Need
From Observation to Insight: Mechanistic World Models and the Quest for Autonomous Discov…
Knowledge- and Gradient-Guided Reinforcement Learning for Parametrized Action Markov Deci…
NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantizatio…
Earthquaker-AI: A Retrieval-Augmented Generation Framework with Rubric-Based Assessment f…
Representation-Based Exploration for Language Models: From Test-Time to Post-Training
Advancing Multimodal Judge Models through a Capability-Oriented Benchmark and MCTS-Driven…
Left-right asymmetry in predicting brain activity from LLMs' representations emerges with…