Showing 1–20 of 32 results
/ Date/ Name
Mar 12, 2024Fine-tuning Large Language Models with Sequential InstructionsOct 4, 2024Context and System Fusion in Post-ASR Emotion Recognition with Large Language ModelsMar 4, 2024EEE-QA: Exploring Effective and Efficient Question-Answer RepresentationsSep 16, 2023Monolingual or Multilingual Instruction Tuning: Which Makes a Better AlpacaAug 30, 2022To Adapt or to Fine-tune: A Case Study on Abstractive SummarizationOct 20, 2022The University of Edinburgh's Submission to the WMT22 Code-Mixing Shared Task (MixMT)May 9, 2022A Unified Model for Reverse Dictionary and Definition ModellingJan 2, 2021The Highs and Lows of Simple Lexical Domain Adaptation Approaches for Neural Machine TranslationMay 15, 2023PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in IndiaJun 18, 2024Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?Aug 27, 2024Pitfalls and Outlooks in Using COMETMar 13, 2025An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)Nov 2, 2025HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained ModelsOct 9, 2023Terminology-Aware Translation with Constrained Decoding and Large Language Model PromptingApr 1, 2024UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through DebiasingAug 12, 2020Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation TaskNov 16, 2023The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language HeuristicsSep 20, 2023Towards Effective Disambiguation for Machine Translation with Large Language ModelsFeb 5, 2023Exploring Data Augmentation for Code Generation TasksAug 23, 2024Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation