arXiv:2601.13222v2 Announce Type: replace-cross
Abstract: RAGE systems integrate ideas from automatic evaluation (E) into Retrieval-augmented Generation (RAG). As one such example, we present Crucible, a Nugget-Augmented Generation System that preserv…
arXiv:2510.02898v4 Announce Type: replace
Abstract: Zero-shot captioners are recently proposed models that utilize common-space vision-language representations to caption images without relying on paired image-text data. To caption an image, they proc…
arXiv:2603.26359v1 Announce Type: cross
Abstract: Designing quantum algorithms is a complex and counterintuitive task, making it an ideal candidate for AI-driven algorithm discovery. To this end, we employ the Hive, an AI platform for program synthesi…
arXiv:2602.13151v2 Announce Type: replace-cross
Abstract: Large Language Model (LLM) unlearning aims to remove targeted knowledge from a trained model, but practical deployments often require post-training quantization (PTQ) for efficient inference. H…
arXiv:2603.26164v1 Announce Type: cross
Abstract: Data-centric training has emerged as a promising direction for improving large language models (LLMs) by optimizing not only model parameters but also the selection, composition, and weighting of train…
arXiv:2603.26389v1 Announce Type: new
Abstract: The Triplet Margin Ranking Loss is one of the most widely used loss functions in Siamese Networks for solving Distance Metric Learning (DML) problems. This loss function depends on a margin parameter {\m…
arXiv:2511.00255v2 Announce Type: replace
Abstract: In entomology and ecology research, biologists often need to collect a large number of insects, among which beetles are the most common species. A common practice for biologists to organize beetles i…
arXiv:2603.14375v2 Announce Type: replace
Abstract: While recent generative video models have achieved remarkable visual realism and are being explored as world models, true physical simulation requires mastering both space and time. Current models ca…
Microsoft is finally blocking a long-since retired program that it said led to “abuse and credential theft,” yet remained widely trusted for years.
Beginning in April, Redmond will remove trust for kernel drivers that haven’t …
Most AI regulations passed in the last few years are already irrelevant, but enterprises should think ahead with rudimentary governance plans for quicker compliance, said legal experts in two panel discussions at Nvidia’s GTC tra…