arXiv:2609.00632v1 Announce Type: new Abstract: Large Language Models (LLMs) have achieved remarkable success across diverse domains, but their adaptation to privacy-sensitive, distributed datasets re...
arXiv:2608.28080v1 Анонс Тип: новый Абстракт: 3D-поколение с условным изображением быстро развивается, но существующие протоколы оценки в значительной степени определяют правдоподобность и семантическ...
arXiv:2608.18100v1 Announce Type: new Abstract: AI systems now shape how hundreds of millions of people learn about cultures other than their own. When someone asks one of these systems about the Midd...
arXiv:2608.17162v1 Announce Type: new Abstract: What a language model internalizes from fine-tuning is usually diagnosed after the fact. We make it an experimental variable. OraclePhys is a systematic...
arXiv:2608.17237v1 Announce Type: new Abstract: Converting structural framing plans into editable finite-element model drafts remains labor-intensive and prone to transcription error. Existing drawing...
arXiv:2608.14021v1 Announce Type: new Abstract: Transformer-based sequential recommenders with causal self-attention often rely heavily on the most recent interaction at inference time, but how this b...
arXiv:2608.13926v1 Announce Type: cross Abstract: Large language models have made natural language interfaces to databases (NLIDB) newly credible, but LLM text-to-SQL systems fail in a way that matter...