Retrieval-augmented generation (RAG) has become a main technique for alleviating
hallucinations in large language models (LLMs). Despite the integration of RAG, LLMs may still …

The proliferation of fake news poses a significant threat not only by disseminating misleading
information but also by undermining the very foundations of democracy. The recent …

Retrieval-augmented generation (RAG) has emerged as a significant advancement in the
field of large language models (LLMs). By integrating up-to-date information not available …

… The JUNO experiment has the world’s largest liquid scintillator detector instrumented with
… This paper describes the JUNO simulation software, highlighting the challenges of JUNO …

… JUNO is also sensitive to new physics beyond the Standard Model, including sterile …
The energy resolution of JUNO is required to be 3% at 1MeV, corresponding to at least 1,100 …

Retrieval-augmented generation (RAG) enhances Large Language Models (LLMs) with
relevant and up-to-date knowledge, improving their ability to answer knowledge-intensive …

… the JUNO is still under construction and the JUNO detector … JUNO simulation to estimate
systematic uncertainty in the Daya Bay benchmark measurement and future GTCS data in JUNO…

… We present Juno, a fast and high-… Juno to support inner product similarity with no extra
dimensions as other works have, and efficient RT-Tensor core pipelining [57]. We evaluate Juno …

… the Jiangmen Underground Neutrino Observatory (JUNO) experiment. The method has …
JUNO offline software but shares the same detector description and event data model in JUNO …

This paper presents an energy resolution study of the JUNO experiment, incorporating the
latest knowledge acquired during the detector construction phase. The determination of …