arXiv:2606.04037v2 Announce Type: new Abstract: Pre-deployment verification of enterprise artificial intelligence (AI) agents remains a critical gap between large language…
arXiv:2606.05004v1 Announce Type: cross Abstract: With the widespread deployment of public large language models (LLMs) such as ChatGPT, protecting user…
arXiv:2606.04990v1 Announce Type: cross Abstract: Large language model (LLM)-based agents increasingly solve complex tasks by interacting with external tools, retrieval…
arXiv:2606.03938v2 Announce Type: replace-cross Abstract: Multi-epoch training is becoming the standard now that compute is growing faster than the supply…
arXiv:2606.03810v2 Announce Type: replace-cross Abstract: Consistency training encourages a model to produce similar outputs across related inputs or sampling procedures.…
Nature Machine Intelligence, Published online: 04 June 2026; doi:10.1038/s42256-026-01249-1 Yang et al. developed CrossDNA, a parameter-efficient language model for cross-strand…
arXiv:2606.02673v1 Announce Type: new Abstract: Graphs have been used to enhance large language models (LLMs) for structured reasoning, mostly as…
