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arXiv cs.AI Policy & Regulation
Who judges the judges? Governance from metrics: a runtime framework for continuous LLM co…
arXiv cs.AI Research & Papers
Inference-Time Alignment of Diffusion Models via Trust-Region Iterative Twisted Sequentia…
arXiv cs.AI Research & Papers
Spectral Retrieval: Multi-Scale Sinc Convolution over Token Embeddings for Localized Retr…
arXiv cs.AI Research & Papers
HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos
arXiv cs.AI Research & Papers
From Theory to Decision Rule: Calibrating the Noisy-Label Crossover for Vision-Language M…
arXiv cs.AI Research & Papers
Credit Assignment with Resets in Language Model Reasoning
arXiv cs.AI Research & Papers
Zero-Shot Parkinson's Disease Detection from Speech: Comparing Large Audio and Language M…
arXiv cs.AI Research & Papers
Generalizable Vision-Language Few-Shot Adaptation with Predictive Prompts and Negative Le…
arXiv cs.AI Research & Papers
Reflect-Guard: Enhancing LLM Safeguards against Adversarial Prompts via Logical Self-Refl…
arXiv cs.AI Research & Papers
ATWL: A Formal Language for Representing, Comparing, and Reusing Visual Analytics Workflo…
arXiv cs.AI Research & Papers
When Reasoning Hurts: Source-Aware Evaluation of Frontier LLMs for Clinical SOAP Note Gen…
arXiv cs.AI Research & Papers
Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series…
arXiv cs.AI Research & Papers
Riemannian-Manifold Steering: Geometry-Aware Generative Autoencoders for Label-Free Steer…
arXiv cs.AI Research & Papers
APT-Agent: Automated Penetration Testing using Large Language Models
arXiv cs.AI Research & Papers
FragmentNet: Adaptive Graph Fragmentation for Graph-to-Sequence Molecular Representation …
arXiv cs.AI Research & Papers
The Impact of Large Language Models on Open-source Innovation: Evidence from GitHub Copil…
arXiv cs.AI Research & Papers
MinerU-Popo: Universal Post-Processing Model for Structured Document Parsing
arXiv cs.AI Research & Papers
Interpretation, Learning, and Empathy as One Constraint: A Residual-Adequacy Architecture…
arXiv cs.AI Research & Papers
Scale When Needed: Adaptive Neuron-level Mixed Precision Quantization Aware Training
arXiv cs.AI Research & Papers
GL-LFGNN:A Global-Local Dual-branch Causal Graph Neural Network Based on Liang-Kleeman In…
arXiv cs.AI Security & Safety
Security in the Fine-Tuning Lifecycle of Large Language Models: Threats, Defenses,Evaluat…
arXiv cs.AI Research & Papers
Multi-Agent Specification-based Metamorphic Testing of FMU-Based Simulations
arXiv cs.AI Research & Papers
Double Self-weighted Multi-view Clustering via Adaptive View Fusion
arXiv cs.AI Research & Papers
Evidence-Linked Radiology Reporting: A Human-Supervised Reference Architecture for Struct…
arXiv cs.AI Research & Papers
PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language…
arXiv cs.AI Research & Papers
Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMs
arXiv cs.AI Security & Safety
SafeGPT: Preventing Data Leakage and Unethical Outputs in Enterprise LLM Use
arXiv cs.AI Research & Papers
EXOTIC: An Exact, Optimistic, Tree-Based Algorithm for Min-Max Optimization
arXiv cs.AI Research & Papers
CLiViS: Unleashing Cognitive Map through Linguistic-Visual Synergy for Embodied Visual Re…
arXiv cs.AI Research & Papers
Dynamic Relational Priming Improves Transformer in Multivariate Time Series