… -based seq2seq models can be used as few-shot learners, outperforming … multilingual 20
billion parameter seq2seq model, which we will refer to as Alexa Teacher Model (AlexaTM 20B…

… ICL with just one example in the target language using AlexaTM 20B Seq2Seq LLM. …
data using 1-shot ICL on AlexaTM 20B (teacher) model; 2) Apply our semi-supervised learning …

… models: we generate synthetic data from AlexaTM 20B to augment the training set for a
model … training data for multi-lingual Semantic Parsing by prompting a frozen Large Language …

… ify our results on an internal large-scale multilingual dataset for … to new intents and slots in
challenging few-shot, zero-shot, and … We use AlexaTM-Large 500M, which is trained using the …

… mT5 model enables few-shot and zero-shot machine translation and zero-shot multilingual
question … Abstractive text summarization using sequence-to-sequence RNNs and beyond. In …

… AlexaTM 20B [51] is the first seq2seq model trained using … of those entities derived from
large-scale knowledge bases. … in finetuning and zero/few-shot learning settings. Additionally, …

… issues are covered in this study, including model features, datasets, transformer models, and
LLM … Alexatm 20b: Few-shot learning using a large-scale multilingual seq2seq model. arXiv …

… We denote this variant as a sequence-to-sequence (Seq2Seq) … CodeT5+ first on the large-scale
unimodal dataset and then on … in the few-shot evaluation setting. We did observe that our …

… from the standard sequence-to-sequence models, where the … -level knowledge from the
large-scale language model using a … Choice of Few-shot Examples We show the distribution of …

… We introduce DecoMT, a novel approach of fewshot … We conducted evaluations on multiple
languages using the … If a bucket contains fewer than 20 instances, we merge it with its …