LLM-Based Adversarial Persuasion Attacks on Fact-Checking Systems
arXiv:2601.16890v1 Announce Type: cross Abstract: Automated fact-checking (AFC) systems are susceptible to adversarial attacks, enabling false claims to evade detection.…
A Mobile Application Front-End for Presenting Explainable AI Results in Diabetes Risk Estimation
arXiv:2601.15292v2 Announce Type: replace-cross Abstract: Diabetes is a significant and continuously rising health challenge in Indonesia. Although many artificial intelligence…
Gated Sparse Attention: Combining Computational Efficiency with Training Stability for Long-Context Language Models
arXiv:2601.15305v1 Announce Type: new Abstract: The computational burden of attention in long-context language models has motivated two largely independent lines…
Recommending Best Paper Awards for ML/AI Conferences via the Isotonic Mechanism
arXiv:2601.15249v2 Announce Type: replace-cross Abstract: Machine learning and artificial intelligence conferences such as NeurIPS and ICML now regularly receive tens…
FAIR-ESI: Feature Adaptive Importance Refinement for Electrophysiological Source Imaging
arXiv:2601.15731v1 Announce Type: cross Abstract: An essential technique for diagnosing brain disorders is electrophysiological source imaging (ESI). While model-based optimization…
DualShield: Safe Model Predictive Diffusion via Reachability Analysis for Interactive Autonomous Driving
arXiv:2601.15729v1 Announce Type: cross Abstract: Diffusion models have emerged as a powerful approach for multimodal motion planning in autonomous driving.…
Mechanism Shift During Post-training from Autoregressive to Masked Diffusion Language Models
arXiv:2601.14758v2 Announce Type: replace-cross Abstract: Post-training pretrained Autoregressive models (ARMs) into Masked Diffusion models (MDMs) has emerged as a cost-effective…
