Lift yourself up: Retrieval-augmented text generation with self-memory

X Cheng, D Luo, X Chen, L Liu… - Advances in Neural …, 2023 - proceedings.neurips.cc
With direct access to human-written reference as memory, retrieval-augmented generation
has achieved much progress in a wide range of text generation tasks. Since better memory …

A survey on retrieval-augmented text generation

H Li, Y Su, D Cai, Y Wang, L Liu - ar**
N Vedula, M Collins, E Agichtein… - Proceedings of the …, 2023 - dl.acm.org
An essential part of making shop** purchase decisions is to compare and contrast
products based on key differentiating features, but doing this manually can be …

[HTML][HTML] Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation

J Yu, AI Cristea, A Harit, Z Sun, OT Aduragba, L Shi… - AI Open, 2023 - Elsevier
This paper explores deep latent variable models for semi-supervised paraphrase
generation, where the missing target pair for unlabelled data is modelled as a latent …