Agentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle a…
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Noticias de IA
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Toward Continuous Assurance for the Democratization of AI Agent Creation in Industry
Agentic coding without the cloud: evaluating open-weight large language models on longitu…
AREX: Towards a Recursively Self-Improving Agent for Deep Research
Agent-Guided Relational Concept Discovery: Toward Interpretable Surgical Margin Assessment
Bridging the Gap Between Plausibility and Admissibility: Constraint-Aware Flow Maps for D…
Euclid-MCP: A Model Context Protocol Server for Deterministic Logical Reasoning via Prolog
MSBraM: A Multi-scale Self-supervised Brain Foundation Model for Hierarchical EEG Dynamic…
Multimodal Pretraining for Generalizable EEG Representation Learning
SPORD: A Simulation-Propose-then-OR-Dispose Approach for Supply Chain Planning
Expert Behavior Prior Reinforcement Learning
BasketEvent: Understanding Who Did What and When in Basketball Videos
Logic Programming Semantics for Causal Processes
ICAE-Bench: Evaluating Coding Agents as Interactive Project Builders
How Rules Represent Causal Knowledge: Causal Modeling with Probabilistic Logic Programming
Bound-Founded Semantics for Answer Set Programming with Difference Constraints: Prelimina…
Identifying Good Rules for Efficient SAT Encodings of Single-Constant Multiplication Usin…
Explaining Weather Bulletins via ILP
Safeguards for Speech2Speech LLM-Assistants: A Case Study in Automotive Applications
Optimizing Hypergraph-Based RAG: Toward Better Fact Extraction and Chunk Retrieval
Inducing Comparability of Factorised Probability Distributions
AttriMem: Attribution-Guided Process Feedback for Agent Memory Learning
Can Generative Recommendation Reach Cold Items? A Temporal Perspective on Semantic-ID Gen…
HiMe: Real-Time Self-Hosted Personal Agent Platform for Health Insights with Wearable Dev…
Workload-Aware Caching for Multi-Agent Systems
Naju: A Native Discrete State-Space Model with Independent Retention and Writing for Long…
Workflow-Localized Mechanism Learning: Attribution-Guided Repair and Knowledge Reuse for …
Error Certificates for KV-Cache Eviction via Randomized Design
Clustered Edge Intelligence: Beyond Just Convergence of Edge Computing and AI
Source-Prior-Driven Selective Adaptation for Efficient Diffusion Model Finetuning