TuxBot: Semantic-Aware Online OS Tuning with Large Language Models
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Noticias de IA
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Left-right asymmetry in predicting brain activity from LLMs' representations emerges with…
Baselines Before Architecture: Evaluating Coding Agents for Autonomous Penetration Testing
When Audio Separation Hurts Zero-Shot ASR: Evaluating SAM-Audio with Whisper on Bengali a…
The Joint Effect of Quantization and Sampling Temperature on LLM Safety Alignment: A Fact…
DIVE: Embedding Compression via Self-Limiting Gradient Updates
Stable Attention Response for Reliable Precipitation Nowcasting
Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models
Analyzing Curricular Pattern Complexity Using AI to Improve On-Time Graduation Rates
Full-Pipeline Inference Optimization for MiMo-V2.5 Series: Pushing Hybrid SWA Efficiency …
WaterMoE: Expert-Routing-based Watermarking for High Fidelity and Efficiency
Groc-PO: Grounded Context Preference Optimization for Truthful Multimodal LLMs
Self-Improving AI Coding Agents Through Accumulated Behavioral Rules: A Closed-Loop Frame…
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning
Partially Observed Structural Causal Models
Robust Explanations for User Trust in Enterprise NLP Systems
TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Var…
NodeImport: Imbalanced Node Classification with Node Importance Assessment
Disentangling Knowledge States with Ability and Proficiency Modeling for Knowledge Tracing
STKAN: Kolmogorov-Arnold Networks for Spatio-Temporal Forecasting
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…
Too Polite to Disagree: Understanding Sycophancy Propagation in Multi-Agent Systems
Research Novelty in Information Systems Journals After ChatGPT: Differences Across Instit…
PC-Diffuser: Path-Consistent Capsule CBF Safety Filtering for Diffusion-Based Trajectory …
Learning to Learn-at-Test-Time: Language Agents with Learnable Adaptation Policies
Knowledge- and Gradient-Guided Reinforcement Learning for Parametrized Action Markov Deci…
Designing Safety-Constrained LLM Systems for Public Health Information Access
LLM-Guided Reinforcement Learning for Audio-Visual Speech Enhancement