MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Sci…
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Noticias de IA
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AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library
QuickLAP: Quick Language-Action Preference Learning for Semi-Autonomous Agents
MAR:Multi-Agent Reflexion Improves Reasoning Abilities in LLMs
Dynamic Distributed Constraint Optimization and Metareasoning for Continual, Large-Scale …
TAME: A Trustworthy Test-Time Evolution of Agent Memory with Systematic Benchmarking
NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning
IRAM-Omega-Q: A Computational Framework for Uncertainty Regulation in Adaptive Agents
Reflection in the Dark: Exposing and Escaping the Black Box in Reflective Prompt Optimiza…
Signals Are Not States: Neuro-Symbolic Safeguards for Culturally Aware Classroom AI
EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scale
Explainable AML Triage with LLMs: Evidence Retrieval and Counterfactual Checks
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond
Engagement Process: Rethinking the Temporal Interface of Action and Observation
Goal-Oriented Reasoning for RAG-based Memory in Conversational Agentic LLM Systems
ANNEAL: Adapting LLM Agents via Governed Symbolic Patch Learning
MBABench: Evaluating LLM Agents on End-to-End Spreadsheet Tasks in Finance
Generation Properties of Stochastic Interpolation under Finite Training Set
Investigating the Histogram Loss in Regression
Discovering Data Structures: Nearest Neighbor Search and Beyond
Complement or substitute? How AI increases the demand for human skills
Dealing with Annotator Disagreement in Hate Speech Classification
Deep Tree Tensor Networks
Rule-based autocorrection of Piping and Instrumentation Diagrams (P&IDs) on graphs
Brain2Text Decoding Model Reveals the Neural Mechanisms of Visual Semantic Processing
Hyperflux: Pruning Reveals Importance
Robust Renal Mass Segmentation on CT: A Validation Study of an AI-Based Framework
ePC: Fast and Deep Predictive Coding in Digital Simulation
ACTIVE-o3: Empowering MLLMs with Active Perception via Pure Reinforcement Learning
AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model