EMMA-500: Enhancing Massively Multilingual Adaptation of Large Language Models Paper • 2409.17892 • Published Sep 26 • 2
The Highs and Lows of Simple Lexical Domain Adaptation Approaches for Neural Machine Translation Paper • 2101.00421 • Published Jan 2, 2021
To Adapt or to Fine-tune: A Case Study on Abstractive Summarization Paper • 2208.14559 • Published Aug 30, 2022
A Unified Model for Reverse Dictionary and Definition Modelling Paper • 2205.04602 • Published May 9, 2022
Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task Paper • 2008.05348 • Published Aug 12, 2020
The University of Edinburgh's Submission to the WMT22 Code-Mixing Shared Task (MixMT) Paper • 2210.11309 • Published Oct 20, 2022
EEE-QA: Exploring Effective and Efficient Question-Answer Representations Paper • 2403.02176 • Published Mar 4
UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing Paper • 2404.01253 • Published Apr 1
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice? Paper • 2404.14122 • Published Apr 22
Iterative Translation Refinement with Large Language Models Paper • 2306.03856 • Published Jun 6, 2023
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca Paper • 2309.08958 • Published Sep 16, 2023 • 2
PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India Paper • 2305.08828 • Published May 15, 2023
Towards Effective Disambiguation for Machine Translation with Large Language Models Paper • 2309.11668 • Published Sep 20, 2023 • 1
Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting Paper • 2310.05824 • Published Oct 9, 2023 • 1
Lucky 52: How Many Languages Are Needed to Instruction Fine-Tune Large Language Models? Paper • 2404.04850 • Published Apr 7
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models? Paper • 2406.12822 • Published Jun 18