FlowTime: Towards Continuous Generative Watch Time Prediction via Flow-based Personalized…
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Noticias de IA
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GuidaPA: Privacy-Preserving Chatbot for Public Administration via Federated Learning
Don't Ask the LLM to Track Freshness: A Deterministic Recipe for Memory Conflict Resoluti…
Self-Revising Discovery Systems for Science: A Categorical Framework for Agentic Artifici…
An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reas…
A Minimalist Brain-Computer Musical Interface for Real-Time Emotion-Driven Sonification: …
TERRA: Task-Embedded Reasoning and Representation Architecture for Cross-Domain Applicati…
RoleCDE:Benchmarking and Mitigating Role-Alignment Trade-offs in Role-Playing Agents
S-SPPO: Semantic-Calibrated Self-Play Preference Optimization
Revisiting Ripple Effects in Knowledge Editing through Pressure-Aware Joint Neighborhood …
MobEvolve: An Agentic Self-Evolving Heuristic System for Interpretable Human Mobility Gen…
Evidence-Gated LLM Priors for Multi-Objective Bayesian Optimization
TriAlign: Towards Universal Truth Consistency in Personalized LLM Alignment
EvoBrain: Continual Learning of EEG Foundation Models Across Heterogeneous BCI Tasks
Stochastic convergence of parallel asynchronous adaptive first-order methods
OctoT2I: A Self-Evolving Agentic Text-to-Image Router
CAPF: Guiding Search-Agent Rollouts with Credit-Attenuated Privileged Feedback
Evaluation of Baseline Methods for IDD-based SSD External Memory Search
WorldCoder-Bench: Benchmarking Physically Grounded 3D World Synthesis
Absorbing Complexity: An Interaction-Native Knowledge Harness for Financial LLM Agents
Physically-Constrained Mamba-SDE for Remaining Useful Life Prediction under Irregular Obs…
Bayesian Spectral Emotion Transition Discovery from Multi-Annotator Disagreement
SMH-Bench: Benchmarking LLM Agents for Environment-Grounded Reasoning and Action in Smart…
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models
Algorithmic algorithm development with LLMs: A Case Study on LLM-Usage for Contraction Or…
An NLP-Driven Framework for Curriculum-Labor Market Alignment: Schema-Constrained LLM Ext…
Extreme Low-Bit Inference in Reasoning Models: Failure Modes and Targeted Recovery
eMoT: evolving Memory-of-Thought via Symbolic Anchoring and Memory Corrosion
BADGER: Bridging Agentic and Deterministic Evaluation for Generative Enterprise Reasoning
Learning When Not to Act: Mitigating Tool Abuse in Agentic Reinforcement Learning