SDFLoRA: Selective Decoupled Federated LoRA for Privacy-preserving Fine-tuning with Heter…
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Noticias de IA
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Critically Engaged Pragmatism: Scientific Norm and Social, Pragmatist Epistemology for AI…
Akasha 2: Hamiltonian State Space Duality and Visual-Language Joint Embedding Predictive …
RecourseBench: A Modular Framework for Reproducible Algorithmic Recourse Evaluation
A Unified Definition of Hallucination: It's The World Model, Stupid!
Near--Real-Time Conflict-Related Fire Detection in Sudan Using Unsupervised Deep Learning
Are Neuro-Inspired Multi-Modal Vision-Language Models Resilient to Membership Inference P…
DualGauge: Automated Joint Security-Functionality Benchmarking of Specification-Only Code…
Can We Stop Malicious AI? KILLBENCH: A Benchmark for External AI Kill Switch Feasibility
A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning…
Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention
A Survey on Agentic Security: Applications, Threats and Defenses
Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention
Discrete optimal transport is a strong audio adversarial attack
Beyond Case Law: Evaluating Structure-Aware Retrieval and Safety in Statute-Centric Legal…
Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution
Orcheo: A Modular Full-Stack Platform for Conversational Search
TS-Memory: Plug-and-Play Memory for Time Series Foundation Models
Seeing Roads Through Words: A Language-Guided Framework for RGB-T Driving Scene Segmentat…
MapDream: Task-Driven Map Learning for Vision-Language Navigation
AlignCoder: Aligning Retrieval with Target Intent for Repository-Level Code Completion
AgenticRec: A Recommendation-Oriented Agentic Framework with Progressive Tool-Integrated …
Learning Permutation Distributions via Reflected Diffusion on Ranks
An Empirical Investigation of Pre-Trained Deep Learning Model Reuse in the Scientific Pro…
Parallel Test-Time Scaling with Multi-Sequence Verifiers
Region-Adaptive Sampling for Diffusion Transformers
Understanding, Detecting, and Repairing Real-World In-Context-Learning-Based Text-to-SQL …
Explainable deep learning improves human mental models of self-driving cars
Learning in the Recurrent State: Gradient Descent with Linear Recurrent Networks
Mitigating scalability challenges in LUT-based neural networks via pruning optimisations