A pilot computational study from arXiv (2608.26123v1) found that large language models (LLMs) partially homogenize Indian oral traditions, with cross-tradition similarity scores of 0.52-0.66 across th…
A new experiment measuring semantic instability in large language model (LLM) responses finds that self-referential questions produce the most unstable outputs, followed by open-ended and closed-ended…
Retrieval-augmented generation (RAG) allows local LLMs to access external documents without consuming excessive memory, by retrieving only relevant chunks via a small embedding model and vector databa…
Google researchers published a paper introducing S-CTS, a two-stage machine learning system that detects and terminates coordinated networks of AI-generated spam on video platforms by identifying clus…
Google researchers published a paper detailing a new system, the Scalable Cluster Termination System (S-CTS), designed to detect coordinated generative AI spam by analyzing organizational attack struc…
Researchers introduced MiqraBERT, a Sentence-BERT model finetuned from AlephBERT for detecting verse-level semantic similarity in Biblical Hebrew. The model improves distributional separation 2.7-fold…