Pinzhen Chen

According to our database, Pinzhen Chen authored at least 35 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

How Many Languages Make Good Multilingual Instruction Tuning? A Case Study on BLOOM.

Shaoxiong Ji, Pinzhen Chen

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Context and System Fusion in Post-ASR Emotion Recognition with Large Language Models.

Pavel Stepachev, Pinzhen Chen, Barry Haddow

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

Crossmodal ASR Error Correction with Discrete Speech Units.

Yuanchao Li, Pinzhen Chen, Peter Bell, Catherine Lai

CoRR, 2024

Lucky 52: How Many Languages Are Needed to Instruction Fine-Tune Large Language Models?

Shaoxiong Ji, Pinzhen Chen

CoRR, 2024

Fine-tuning Large Language Models with Sequential Instructions.

Hanxu Hu, Pinzhen Chen, Edoardo M. Ponti

CoRR, 2024

Pitfalls and Outlooks in Using COMET.

Vilém Zouhar, Pinzhen Chen, Tsz Kin Lam, Nikita Moghe, Barry Haddow

Proceedings of the Ninth Conference on Machine Translation, 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

Proceedings of the Ninth Conference on Machine Translation, 2024

Cher at KSAA-CAD 2024: Compressing Words and Definitions into the Same Space for Arabic Reverse Dictionary.

Pinzhen Chen, Zheng Zhao, Shun Shao

Proceedings of The Second Arabic Natural Language Processing Conference, 2024

UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing.

Yijun Yang, Jie He, Pinzhen Chen, Víctor Gutiérrez-Basulto, Jeff Z. Pan

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Regarding Topology and Adaptability in Differentiable WFST-Based E2E ASR.

Zeyu Zhao, Pinzhen Chen, Peter Bell

Proceedings of the IEEE International Conference on Acoustics, 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, Dietrich Klakow

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Iterative Translation Refinement with Large Language Models.

Pinzhen Chen, Zhicheng Guo, Barry Haddow, Kenneth Heafield

Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), 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

Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), 2024

Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca.

Pinzhen Chen, Shaoxiong Ji, Nikolay Bogoychev, Andrey Kutuzov, Barry Haddow, Kenneth Heafield

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

EEE-QA: Exploring Effective and Efficient Question-Answer Representations.

Zhanghao Hu, Yijun Yang, Junjie Xu, Yifu Qiu, Pinzhen Chen

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Large Language Model Inference with Lexical Shortlisting.

Nikolay Bogoychev, Pinzhen Chen, Barry Haddow, Alexandra Birch

CoRR, 2023

Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca.

Pinzhen Chen, Shaoxiong Ji, Nikolay Bogoychev, Barry Haddow, Kenneth Heafield

CoRR, 2023

Towards Effective Disambiguation for Machine Translation with Large Language Models.

Vivek Iyer, Pinzhen Chen, Alexandra Birch

Proceedings of the Eighth Conference on Machine Translation, 2023

Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting.

Nikolay Bogoychev, Pinzhen Chen

Proceedings of the Eighth Conference on Machine Translation, 2023

PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India.

Ashok Urlana, Pinzhen Chen, Zheng Zhao, Shay B. Cohen, Manish Shrivastava, Barry Haddow

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Exploring Data Augmentation for Code Generation Tasks.

Pinzhen Chen, Gerasimos Lampouras

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

The University of Edinburgh's Submission to the WMT22 Code-Mixing Shared Task (MixMT).

Faheem Kirefu, Vivek Iyer, Pinzhen Chen, Laurie Burchell

Proceedings of the Seventh Conference on Machine Translation, 2022

Edinburgh at SemEval-2022 Task 1: Jointly Fishing for Word Embeddings and Definitions.

Pinzhen Chen, Zheng Zhao

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task.

Pinzhen Chen, Kenneth Heafield

Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022

A Unified Model for Reverse Dictionary and Definition Modelling.

Pinzhen Chen, Zheng Zhao

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

To Adapt or to Fine-Tune: A Case Study on Abstractive Summarization.

Zheng Zhao, Pinzhen Chen

Proceedings of the Chinese Computational Linguistics - 21st China National Conference, 2022

2021

Decoding Time Lexical Domain Adaptationfor Neural Machine Translation.

Nikolay Bogoychev, Pinzhen Chen

CoRR, 2021

The University of Edinburgh's Bengali-Hindi Submissions to the WMT21 News Translation Task.

Proyag Pal, Alham Fikri Aji, Pinzhen Chen, Sukanta Sen

Proceedings of the Sixth Conference on Machine Translation, 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

Proceedings of the Sixth Conference on Machine Translation, 2021

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

Proceedings of the Sixth Conference on Machine Translation, 2021

2020

Character Mapping and Ad-hoc Adaptation: Edinburgh's IWSLT 2020 Open Domain Translation System.

Pinzhen Chen, Nikolay Bogoychev, Ulrich Germann

Proceedings of the 17th International Conference on Spoken Language Translation, 2020

Parallel Sentence Mining by Constrained Decoding.

Pinzhen Chen, Nikolay Bogoychev, Kenneth Heafield, Faheem Kirefu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

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, Gema Ramírez-Sánchez, Elsa Sarrías, Marek Strelec, Brian Thompson, William Waites, Dion Wiggins, Jaume Zaragoza

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020