ParaCrawl: Web-Scale Acquisition of Parallel Corpora. - Marta Bañón; Pinzhen Chen; Barry Haddow; Kenneth Heafield; Hieu Hoang; Miquel Esplà-Gomis; Mikel L. Forcada; Amir Kamran; Faheem Kirefu; Philipp Koehn; Sergio Ortiz-Rojas; Leopoldo Pla Sempere; et al. (ACL, 2020)

Parallel Sentence Mining by Constrained Decoding. - Pinzhen Chen; Nikolay Bogoychev; Kenneth Heafield; Faheem Kirefu (ACL, 2020)

Character Mapping and Ad-hoc Adaptation: Edinburgh's IWSLT 2020 Open Domain Translation System. - Pinzhen Chen; Nikolay Bogoychev; Ulrich Germann (IWSLT, 2020)

Efficient Machine Translation with Model Pruning and Quantization. - Maximiliana Behnke; Nikolay Bogoychev; Alham Fikri Aji; Kenneth Heafield; Graeme Nail; Qianqian Zhu; Svetlana Tchistiakova; Jelmer van der Linde; Pinzhen Chen; Sidharth Kashyap; Roman Grundkiewicz (WMT@EMNLP, 2021)

The University of Edinburgh's English-German and English-Hausa Submissions to the WMT21 News Translation Task. - Pinzhen Chen; Jindrich Helcl; Ulrich Germann; Laurie Burchell; Nikolay Bogoychev; Antonio Valerio Miceli Barone; Jonas Waldendorf; Alexandra Birch; Kenneth Heafield (WMT@EMNLP, 2021)

The University of Edinburgh's Bengali-Hindi Submissions to the WMT21 News Translation Task. - Proyag Pal; Alham Fikri Aji; Pinzhen Chen; Sukanta Sen (WMT@EMNLP, 2021)

Decoding Time Lexical Domain Adaptationfor Neural Machine Translation. - Nikolay Bogoychev; Pinzhen Chen (CoRR, 2021)

To Adapt or to Fine-Tune: A Case Study on Abstractive Summarization. - Zheng Zhao 005; Pinzhen Chen (CCL, 2022)

A Unified Model for Reverse Dictionary and Definition Modelling. - Pinzhen Chen; Zheng Zhao 005 (AACL/IJCNLP (2), 2022)

Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task. - Pinzhen Chen; Kenneth Heafield (PACLIC, 2022)

Edinburgh at SemEval-2022 Task 1: Jointly Fishing for Word Embeddings and Definitions. - Pinzhen Chen; Zheng Zhao 005 (SemEval@NAACL, 2022)

The University of Edinburgh's Submission to the WMT22 Code-Mixing Shared Task (MixMT). - Faheem Kirefu; Vivek Iyer; Pinzhen Chen; Laurie Burchell (WMT, 2022)

Exploring Data Augmentation for Code Generation Tasks. - Pinzhen Chen; Gerasimos Lampouras (EACL (Findings), 2023)

PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India. - Ashok Urlana; Pinzhen Chen; Zheng Zhao 005; Shay B. Cohen; Manish Shrivastava 001; Barry Haddow (EMNLP (Findings), 2023)

Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting. - Nikolay Bogoychev; Pinzhen Chen (WMT, 2023)

Towards Effective Disambiguation for Machine Translation with Large Language Models. - Vivek Iyer; Pinzhen Chen; Alexandra Birch (WMT, 2023)

Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca. - Pinzhen Chen; Shaoxiong Ji; Nikolay Bogoychev; Barry Haddow; Kenneth Heafield (CoRR, 2023)

Large Language Model Inference with Lexical Shortlisting. - Nikolay Bogoychev; Pinzhen Chen; Barry Haddow; Alexandra Birch (CoRR, 2023)

EEE-QA: Exploring Effective and Efficient Question-Answer Representations. - Zhanghao Hu; Yijun Yang; Junjie Xu; Yifu Qiu; Pinzhen Chen (LREC/COLING, 2024)

Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca. - Pinzhen Chen; Shaoxiong Ji; Nikolay Bogoychev; Andrey Kutuzov; Barry Haddow; Kenneth Heafield (EACL (Findings), 2024)

HPLT's First Release of Data and Models. - Nikolay Arefyev; Mikko Aulamo; Pinzhen Chen; Ona De Gibert Bonet; Barry Haddow; Jindrich Helcl; Bhavitvya Malik; Gema Ramírez-Sánchez; Pavel Stepachev; Jörg Tiedemann; Dusan Varis; Jaume Zaragoza-Bernabeu (EAMT (2), 2024)

Iterative Translation Refinement with Large Language Models. - Pinzhen Chen; Zhicheng Guo; Barry Haddow; Kenneth Heafield (EAMT (1), 2024)

Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models? - Pinzhen Chen; Simon Yu; Zhicheng Guo; Barry Haddow (EMNLP, 2024)

Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice? - Dawei Zhu; Pinzhen Chen; Miaoran Zhang; Barry Haddow; Xiaoyu Shen 001; Dietrich Klakow (EMNLP, 2024)

Regarding Topology and Adaptability in Differentiable WFST-Based E2E ASR. - Zeyu Zhao 004; Pinzhen Chen; Peter Bell 001 (ICASSP Workshops, 2024)

UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing. - Yijun Yang; Jie He 004; Pinzhen Chen; Víctor Gutiérrez-Basulto; Jeff Z. Pan (NAACL-HLT, 2024)

Crossmodal ASR Error Correction With Discrete Speech Units. - Yuanchao Li; Pinzhen Chen; Peter Bell 001; Catherine Lai (SLT, 2024)

Cher at KSAA-CAD 2024: Compressing Words and Definitions into the Same Space for Arabic Reverse Dictionary. - Pinzhen Chen; Zheng Zhao 005; Shun Shao (ArabicNLP, 2024)

Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation. - Vivek Iyer; Bhavitvya Malik; Pavel Stepachev; Pinzhen Chen; Barry Haddow; Alexandra Birch (WMT, 2024)

Pitfalls and Outlooks in Using COMET. - Vilém Zouhar; Pinzhen Chen; Tsz Kin Lam; Nikita Moghe; Barry Haddow (WMT, 2024)

Fine-tuning Large Language Models with Sequential Instructions. - Hanxu Hu; Pinzhen Chen; Edoardo M. Ponti (CoRR, 2024)

Lucky 52: How Many Languages Are Needed to Instruction Fine-Tune Large Language Models? - Shaoxiong Ji; Pinzhen Chen (CoRR, 2024)

EMMA-500: Enhancing Massively Multilingual Adaptation of Large Language Models. - Shaoxiong Ji; Zihao Li; Indraneil Paul; Jaakko Paavola; Peiqin Lin; Pinzhen Chen; Dayyán O'Brien; Hengyu Luo; Hinrich Schütze; Jörg Tiedemann; Barry Haddow (CoRR, 2024)

Context and System Fusion in Post-ASR Emotion Recognition with Large Language Models. - Pavel Stepachev; Pinzhen Chen; Barry Haddow (CoRR, 2024)

An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT). - Laurie Burchell; Ona De Gibert Bonet; Nikolay Arefyev; Mikko Aulamo; Marta Bañón; Pinzhen Chen; Mariia Fedorova; Liane Guillou; Barry Haddow; Jan Hajic; Jindrich Helcl; Erik Henriksson; et al. (ACL (1), 2025)

How Many Languages Make Good Multilingual Instruction Tuning? A Case Study on BLOOM. - Shaoxiong Ji; Pinzhen Chen (COLING, 2025)

AveniBench: Accessible and Versatile Evaluation of Finance Intelligence. - Mateusz Klimaszewski; Pinzhen Chen; Liane Guillou; Ioannis Papaioannou; Barry Haddow; Alexandra Birch (COLING Workshops, 2025)

Fine-Tuning Large Language Models with Sequential Instructions. - Hanxu Hu; Simon Yu; Pinzhen Chen; Edoardo M. Ponti (NAACL (Long Papers), 2025)

Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning. - Wenhao Zhu; Pinzhen Chen; Hanxu Hu; Shujian Huang; Fei Yuan 006; Jiajun Chen 001; Alexandra Birch (CoRR, 2025)

An Expanded Massive Multilingual Dataset for High-Performance Language Technologies. - Laurie Burchell; Ona de Gibert; Nikolay Arefyev; Mikko Aulamo; Marta Bañón; Pinzhen Chen; Mariia Fedorova; Liane Guillou; Barry Haddow; Jan Hajic; Jindrich Helcl; Erik Henriksson; et al. (CoRR, 2025)

XL-Instruct: Synthetic Data for Cross-Lingual Open-Ended Generation. - Vivek Iyer; Ricardo Rei; Pinzhen Chen; Alexandra Birch (CoRR, 2025)

CHARM: Calibrating Reward Models With Chatbot Arena Scores. - Xiao Zhu; Chenmien Tan; Pinzhen Chen; Rico Sennrich; Yanlin Zhang; Hanxu Hu (CoRR, 2025)

DocHPLT: A Massively Multilingual Document-Level Translation Dataset. - Dayyán O'Brien; Bhavitvya Malik; Ona de Gibert; Pinzhen Chen; Barry Haddow; Jörg Tiedemann (CoRR, 2025)