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Pinzhen Chen
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2020 – today
- 2024
- [c22]Zhanghao Hu, Yijun Yang, Junjie Xu, Yifu Qiu, Pinzhen Chen:
EEE-QA: Exploring Effective and Efficient Question-Answer Representations. LREC/COLING 2024: 5520-5525 - [c21]Pinzhen Chen, Shaoxiong Ji, Nikolay Bogoychev, Andrey Kutuzov, Barry Haddow, Kenneth Heafield:
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca. EACL (Findings) 2024: 1347-1356 - [c20]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:
HPLT's First Release of Data and Models. EAMT (2) 2024: 53-54 - [c19]Pinzhen Chen, Zhicheng Guo, Barry Haddow, Kenneth Heafield:
Iterative Translation Refinement with Large Language Models. EAMT (1) 2024: 181-190 - [c18]Zeyu Zhao, Pinzhen Chen, Peter Bell:
Regarding Topology and Adaptability in Differentiable WFST-Based E2E ASR. ICASSP Workshops 2024: 843-847 - [c17]Yijun Yang, Jie He, Pinzhen Chen, Víctor Gutiérrez-Basulto, Jeff Z. Pan:
UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing. NAACL-HLT 2024: 7018-7035 - [c16]Pinzhen Chen, Zheng Zhao, Shun Shao:
Cher at KSAA-CAD 2024: Compressing Words and Definitions into the Same Space for Arabic Reverse Dictionary. ArabicNLP 2024: 686-691 - [i21]Zhanghao Hu, Yijun Yang, Junjie Xu, Yifu Qiu, Pinzhen Chen:
EEE-QA: Exploring Effective and Efficient Question-Answer Representations. CoRR abs/2403.02176 (2024) - [i20]Hanxu Hu, Pinzhen Chen, Edoardo M. Ponti:
Fine-tuning Large Language Models with Sequential Instructions. CoRR abs/2403.07794 (2024) - [i19]Yijun Yang, Jie He, Pinzhen Chen, Víctor Gutiérrez-Basulto, Jeff Z. Pan:
UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing. CoRR abs/2404.01253 (2024) - [i18]Shaoxiong Ji, Pinzhen Chen:
Lucky 52: How Many Languages Are Needed to Instruction Fine-Tune Large Language Models? CoRR abs/2404.04850 (2024) - [i17]Dawei Zhu, Pinzhen Chen, Miaoran Zhang, Barry Haddow, Xiaoyu Shen, Dietrich Klakow:
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice? CoRR abs/2404.14122 (2024) - [i16]Yuanchao Li, Pinzhen Chen, Peter Bell, Catherine Lai:
Crossmodal ASR Error Correction with Discrete Speech Units. CoRR abs/2405.16677 (2024) - [i15]Pinzhen Chen, Simon Yu, Zhicheng Guo, Barry Haddow:
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models? CoRR abs/2406.12822 (2024) - [i14]Vivek Iyer, Bhavitvya Malik, Pavel Stepachev, Pinzhen Chen, Barry Haddow, Alexandra Birch:
Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation. CoRR abs/2408.12780 (2024) - [i13]Vilém Zouhar, Pinzhen Chen, Tsz Kin Lam, Nikita Moghe, Barry Haddow:
Pitfalls and Outlooks in Using COMET. CoRR abs/2408.15366 (2024) - 2023
- [c15]Pinzhen Chen, Gerasimos Lampouras:
Exploring Data Augmentation for Code Generation Tasks. EACL (Findings) 2023: 1497-1505 - [c14]Ashok Urlana, Pinzhen Chen, Zheng Zhao, Shay B. Cohen, Manish Shrivastava, Barry Haddow:
PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India. EMNLP (Findings) 2023: 11606-11628 - [c13]Vivek Iyer, Pinzhen Chen, Alexandra Birch:
Towards Effective Disambiguation for Machine Translation with Large Language Models. WMT 2023: 482-495 - [c12]Nikolay Bogoychev, Pinzhen Chen:
Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting. WMT 2023: 890-896 - [i12]Pinzhen Chen, Gerasimos Lampouras:
Exploring Data Augmentation for Code Generation Tasks. CoRR abs/2302.03499 (2023) - [i11]Ashok Urlana, Pinzhen Chen, Zheng Zhao, Shay B. Cohen, Manish Shrivastava, Barry Haddow:
PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India. CoRR abs/2305.08828 (2023) - [i10]Pinzhen Chen, Zhicheng Guo, Barry Haddow, Kenneth Heafield:
Iterative Translation Refinement with Large Language Models. CoRR abs/2306.03856 (2023) - [i9]Pinzhen Chen, Shaoxiong Ji, Nikolay Bogoychev, Barry Haddow, Kenneth Heafield:
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca. CoRR abs/2309.08958 (2023) - [i8]Vivek Iyer, Pinzhen Chen, Alexandra Birch:
Towards Effective Disambiguation for Machine Translation with Large Language Models. CoRR abs/2309.11668 (2023) - [i7]Nikolay Bogoychev, Pinzhen Chen:
Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting. CoRR abs/2310.05824 (2023) - [i6]Nikolay Bogoychev, Pinzhen Chen, Barry Haddow, Alexandra Birch:
Large Language Model Inference with Lexical Shortlisting. CoRR abs/2311.09709 (2023) - 2022
- [c11]Zheng Zhao, Pinzhen Chen:
To Adapt or to Fine-Tune: A Case Study on Abstractive Summarization. CCL 2022: 133-146 - [c10]Pinzhen Chen, Zheng Zhao:
A Unified Model for Reverse Dictionary and Definition Modelling. AACL/IJCNLP (2) 2022: 8-13 - [c9]Pinzhen Chen, Kenneth Heafield:
Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task. PACLIC 2022: 600-606 - [c8]Pinzhen Chen, Zheng Zhao:
Edinburgh at SemEval-2022 Task 1: Jointly Fishing for Word Embeddings and Definitions. SemEval@NAACL 2022: 75-81 - [c7]Faheem Kirefu, Vivek Iyer, Pinzhen Chen, Laurie Burchell:
The University of Edinburgh's Submission to the WMT22 Code-Mixing Shared Task (MixMT). WMT 2022: 1145-1157 - [i5]Pinzhen Chen, Zheng Zhao:
A Unified Model for Reverse Dictionary and Definition Modelling. CoRR abs/2205.04602 (2022) - [i4]Zheng Zhao, Pinzhen Chen:
To Adapt or to Fine-tune: A Case Study on Abstractive Summarization. CoRR abs/2208.14559 (2022) - [i3]Faheem Kirefu, Vivek Iyer, Pinzhen Chen, Laurie Burchell:
The University of Edinburgh's Submission to the WMT22 Code-Mixing Shared Task (MixMT). CoRR abs/2210.11309 (2022) - 2021
- [c6]Pinzhen Chen, Jindrich Helcl, Ulrich Germann, Laurie Burchell, Nikolay Bogoychev, Antonio Valerio Miceli Barone, Jonas Waldendorf, Alexandra Birch, Kenneth Heafield:
The University of Edinburgh's English-German and English-Hausa Submissions to the WMT21 News Translation Task. WMT@EMNLP 2021: 104-109 - [c5]Proyag Pal, Alham Fikri Aji, Pinzhen Chen, Sukanta Sen:
The University of Edinburgh's Bengali-Hindi Submissions to the WMT21 News Translation Task. WMT@EMNLP 2021: 180-186 - [c4]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:
Efficient Machine Translation with Model Pruning and Quantization. WMT@EMNLP 2021: 775-780 - [i2]Nikolay Bogoychev, Pinzhen Chen:
Decoding Time Lexical Domain Adaptationfor Neural Machine Translation. CoRR abs/2101.00421 (2021) - 2020
- [c3]Pinzhen Chen, Nikolay Bogoychev, Kenneth Heafield, Faheem Kirefu:
Parallel Sentence Mining by Constrained Decoding. ACL 2020: 1672-1678 - [c2]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:
ParaCrawl: Web-Scale Acquisition of Parallel Corpora. ACL 2020: 4555-4567 - [c1]Pinzhen Chen, Nikolay Bogoychev, Ulrich Germann:
Character Mapping and Ad-hoc Adaptation: Edinburgh's IWSLT 2020 Open Domain Translation System. IWSLT 2020: 122-129 - [i1]Pinzhen Chen, Kenneth Heafield:
Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task. CoRR abs/2008.05348 (2020)
Coauthor Index
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last updated on 2024-10-08 20:35 CEST by the dblp team
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