A comprehensive overview of large language models

H Naveed, AU Khan, S Qiu, M Saqib, S Anwar… - ar** language-image pre-training with frozen image encoders and large language models
J Li, D Li, S Savarese, S Hoi - International conference on …, 2023 - proceedings.mlr.press
The cost of vision-and-language pre-training has become increasingly prohibitive due to
end-to-end training of large-scale models. This paper proposes BLIP-2, a generic and …

Benchmarking large language models for news summarization

T Zhang, F Ladhak, E Durmus, P Liang… - Transactions of the …, 2024 - direct.mit.edu
Large language models (LLMs) have shown promise for automatic summarization but the
reasons behind their successes are poorly understood. By conducting a human evaluation …

Large language models for information retrieval: A survey

Y Zhu, H Yuan, S Wang, J Liu, W Liu, C Deng… - arxiv preprint arxiv …, 2023 - arxiv.org
As a primary means of information acquisition, information retrieval (IR) systems, such as
search engines, have integrated themselves into our daily lives. These systems also serve …

Codet5+: Open code large language models for code understanding and generation

Y Wang, H Le, AD Gotmare, NDQ Bui, J Li… - arxiv preprint arxiv …, 2023 - arxiv.org
Large language models (LLMs) pretrained on vast source code have achieved prominent
progress in code intelligence. However, existing code LLMs have two main limitations in …