Data Flow Control: Data Safety Policies for AI Agents
Explorar
Noticias de IA
37834 elementos — filtrados, clasificados y sin duplicados
Cognitive Threat Intelligence and Explainable Federated Security Analytics for distribute…
ViCuR: Visual Cues as Recoverable Privilege for Multimodal On-Policy Distillation
Willing but Unable: Separating Refusal from Capability in Code LLMs via Abliteration
Narrative Knowledge Weaver: Narrative-Centric Retrieval-Augmented Reasoning for Long-Form…
Let It Be Simple: One-Step Action Generation for Vision-Language-Action Models
UNIVID: Unified Vision-Language Model for Video Moderation
Towards One-to-Many Temporal Grounding
DRIFT: A Residual Flow Adapter for Decoding Continuous Outputs in Vision-Language Models
Human Oversight and Overload: Two Hidden and Costly Burdens of AI-Assisted Software Engin…
Trust, but Don't Verify: Epistemic Blind Spots in LLM Source Evaluation
LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
LLMs Can Leak Training Data But Do They Want To? A Propensity-Aware Evaluation of Memoriz…
OneReason Technical Report
Evaluating the Utility of Personal Health Records in Personalized Health AI
Design a Reliable LLM-Integrated Interface for Mortality Forecasting
DisasterBench: A Multimodal Benchmark for UAV-Based Disaster Response in Complex Environm…
TinyML-Driven Cybersecurity for Autonomous Spacecraft: Latency-Accuracy Analysis for SPAR…
Emotion-Aware Image Generation from Korean Diary Text via LLM-based Prompt Translation an…
Consistency Training Along the Transformer Stack
Benchmarks in Leipzig
Learning to Route LLMs from Implicit Cost-Performance Preferences via Meta-Learning
Mechanistic Insights into Functional Sparsity in Multimodal LLMs via CoRe Heads
GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks
EEGDancer: Dynamic Emotion Latent Space Masked Modeling with Reinforcement Learning for E…
Deciphering Two Training Clocks in Grokking via Deep Linear Network Theory with Condition…
LadderMan: Learning Humanoid Perceptive Ladder Climbing
Staying with the Uncertainty: Uncertainty-Scaffolding Strategies for Artificial Moral Adv…
Comprehensive and Reliable Feature Attribution for Diverse Modalities and Models via Freq…
Separation Power of Equivariant Neural Networks