An international multi-centre study to develop and validate federated learning-based prognostic models for anal cancer
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Towards Robust Speech Deepfake Detection via Human-Inspired Reasoning
arXiv:2603.10725v2 Announce Type: replace-cross Abstract: The modern generative audio models can be used by an adversary in an unlawful manner,…
The Mirror Design Pattern: Strict Data Geometry over Model Scale for Prompt Injection Detection
arXiv:2603.11875v1 Announce Type: cross Abstract: Prompt injection defenses are often framed as semantic understanding problems and delegated to increasingly large…
DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool Use
arXiv:2603.11076v1 Announce Type: new Abstract: Recent work synthesizes agentic tasks for post-training tool-using LLMs, yet robust generalization under shifts in…
Historical Consensus: Preventing Posterior Collapse via Iterative Selection of Gaussian Mixture Priors
arXiv:2603.10935v2 Announce Type: replace-cross Abstract: Variational autoencoders (VAEs) frequently suffer from posterior collapse, where latent variables become uninformative and the…
Bielik-Minitron-7B: Compressing Large Language Models via Structured Pruning and Knowledge Distillation for the Polish Language
arXiv:2603.11881v1 Announce Type: cross Abstract: This report details the creation of Bielik-Minitron-7B, a compressed 7.35B parameter version of the Bielik-11B-v3.0…
Agentic Control Center for Data Product Optimization
arXiv:2603.10133v1 Announce Type: new Abstract: Data products enable end users to gain greater insights about their data by providing supporting…
RandMark: On Random Watermarking of Visual Foundation Models
arXiv:2603.10695v1 Announce Type: cross Abstract: Being trained on large and diverse datasets, visual foundation models (VFMs) can be fine-tuned to…
AutoViVQA: A Large-Scale Automatically Constructed Dataset for Vietnamese Visual Question Answering
arXiv:2603.09689v2 Announce Type: replace-cross Abstract: Visual Question Answering (VQA) is a fundamental multimodal task that requires models to jointly understand…