PhD student of Natural Language Processing at Ml-Labs, Dublin City University
Glasnevin, Dublin
Ireland
Email: chenyang.lyu2 [at] mail [dot] dcu [dot] ie
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I just got my PhD and am looking for job opportunities both academic and industry. I have rich experiences in NLP and LLMs (especially Multi-modal LLMs), welcome to drop me an email!
I am currently pursuing a PhD in Natural Language Processing at ML-Labs, Dublin City University, under the guidance of Dr. Jennifer Foster and Dr. Yvette Graham. My academic journey began with a bachelor's degree in Computer Software Engineering from Northeastern University, China. My research interests revolve around Natural Language Processing, particularly in applying Pre-trained Large Language Models including vision-language models for Sentiment Analysis and Question Answering related topics. In addition to my studies, I have gained valuable research experience working as a research intern at Huawei Noah's Ark Lab and IBM Research-China. During my research career, I have been fortunate to work with Dr. Jennifer Foster, Dr. Yvette Graham, Prof. Qun Liu, Dr. Lifeng Shang, and Dr. Xin Jiang.
2023/06: We have released our Multi-modal Large Language Models named Macaw-LLM!.
2023/07: One paper accepted to the 31st ACM International Conference on Multimedia, ACM-MM 2023!.
2023/06: One paper accepted to the 32nd International Conference on Artificial Neural Networks, ICANN 2023!.
2023/06: Paper New Trends in Machine Translation with Large Language Models accepted to the Symposium on Large Language Models at IJCAI 2023!.
2023/06: Two paper accepted to the Student Research Workshop and SustaiBLP workshop at the 61th Annual Meeting of the Association for Computational Linguistics, ACL 2023!.
2023/05: One paper accepted to the 61th Annual Meeting of the Association for Computational Linguistics, ACL 2023!.
2023/04: New blog for some interesting directions in Machine Translation using Large Language Models: New Trends in Machine Translation using Large Language Models.
2023/04: Our new preprint on investigating Large Language Models (LLMs): Document-Level Machine Translation with Large Language Models is out!
2022/12: “Dialogue-to-Video Retrieval” accepted by ECIR 2023.
2022/09: Our system wins 1st place in FinNLP-2022 (co-located with EMNLP 2022) ERAI shared task!
2022/06: Presented a talk at LREC 2022 Workshop on Financial Narrative Processing, Marseille, France.
2022/05: Presented two posters and a talk at ACL 2022 and Workshop on Insights from Negative Results in NLP, Dublin, Ireland.
2022/04: “Extending the Scope of Out-of-Domain: Examining QA models in multiple subdomains” accepted by ACL 2022 Workshop on Insights from Negative Results in NLP.
2022/02: “Achieving Reliable Human Assessment of Open-Domain Dialogue Systems” accepted by ACL 2022.
2021/11: Presented a talk of our paper at Question Answering session of EMNLP 2021.
2021/08: “Improving Unsupervised Question Answering via Summarization-Informed Question Generation” accepted by EMNLP 2021.
2020/12: Presented a talk of our paper at Sentiment Analysis session of COLING 2020.
2020/10: “Document-Level Sentiment Analysis with User and Product Context” accpeted by COLING 2020.
2020/04: Presented a talk of our paper at ECIR 2020 Workshop on Narrative Extraction from Texts.
2020/02: “Incorporating Context and Knowledge for Better Sentiment Analysis of Narrative Text” accepted by ECIR 2020 Workshop on Narrative Extraction from Texts.
Graph-Based Video-Language Learning with Multi-Grained Audio-Visual Alignment [PDF][Code][Bibtex] Chenyang Lyu, Wenxi Li, Tianbo Ji, Longyue Wang, Liting Zhou, Cathal Gurrin, Linyi Yang, Yi Yu, Yvette Graham, Jennifer Foster In Proceedings of the 31st ACM International Conference on Multimedia, ACM-MM 2023
Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration [PDF][Code][Bibtex] Chenyang Lyu, Minghao Wu, Longyue Wang, Xinting Huang, Bingshuai Liu, Zefeng Du, Shuming Shi, and Zhaopeng Tu. Preprint 2023 (1100+ stars on Github, 300,000 views and discussion on Twitter).
Semantic-aware Dynamic Retrospective-Prospective Reasoning for Event-level Video Question Answering [PDF][Code][Bibtex] Chenyang Lyu, Tianbo Ji, Yvette Graham, and Jennifer Foster In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, ACL 2023
Is a Video worth $n\times n$ Images? A Highly Efficient Approach to Transformer-based Video Question Answering [PDF][Code][Bibtex] Chenyang Lyu, Tianbo Ji, Yvette Graham, and Jennifer Foster In Proceedings of The Third Workshop on Simple and Efficient Natural Language Processing, ACL 2023
Exploiting Rich Textual User-Product Context for Improving Personalised Sentiment Analysis [PDF][Code][Bibtex] Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham, Jennifer Foster In Findings of the 61th Annual Meeting of the Association for Computational Linguistics, ACL 2023
Gated Multi-Modal Fusion with Cross-Modal Contrastive Learning for Video Question Answering [PDF][Code][Bibtex] Chenyang Lyu, Wenxi Li, Tianbo Ji, Liting Zhou, Cathal Gurrin In the 32nd International Conference on Artificial Neural Networks, ICANN 2023
New Trends in Machine Translation with Large Language Models [PDF] [Code][Bibtex] Chenyang Lyu, Zefeng Du, Jitao Xu, Derek F. Wong, Yitao Duan, Longyue Wang Symposium on Large Language Models at IJCAI2023
Document-Level Machine Translation with Large Language Models [PDF] [Slides][Code][Bibtex] Longyue Wang*, Chenyang Lyu*, Tianbo Ji*, Zhirui Zhang*, Dian Yu, Shuming Shi, Zhaopeng Tu Technical Report 2023
Dialogue-to-Video Retrieval [PDF] [Slides][Code][Bibtex] Chenyang Lyu, Manh-Duy Nguyen, Van-Tu Ninh, Liting Zhou, Cathal Gurrin, Jennifer Foster The 45th European Conference on Information Retrieval, ECIR 2023
Extending the Scope of Out-of-Domain: Examining QA models in multiple subdomains [PDF] [Slides][Code][Bibtex] Chenyang Lyu, Jennifer Foster and Yvette Graham The 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022, Workshop on Insights from Negative Results in NLP
Achieving Reliable Human Assessment of Open-Domain Dialogue Systems [PDF][Slides][Code][Bibtex] Tianbo Ji, Yvette Graham, Gareth J. F. Jones, Chenyang Lyu and Qun Liu The 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022
DCU-Lorcan at FinCausal 2022: Span-based Causality Extraction from Financial Documents using Pre-trained Language Models [PDF][Bibtex] Chenyang Lyu, Tianbo Ji, Quanwei Sun, Liting Zhou The 14th Conference on Language Resources and Evaluation, LREC 2022, Proceedings of the 4th Financial Narrative Processing Workshop
Knowledge and Pre-trained Language Models Inside and Out: a deep-dive into datasets and external knowledge [PDF][slides][Bibtex] Chenyang Lyu PhD Transfer Report
Improving Unsupervised Question Answering via Summarization-Informed Question Generation [PDF][Slides][Bibtex] Chenyang Lyu, Lifeng Shang, Yvette Graham, Jennifer Foster, Xin Jiang and Qun Liu The 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021
Improving Document-Level Sentiment Analysis with User and Product Context [PDF][Slides] [Code][Bibtex] Chenyang Lyu, Jennifer Foster and Yvette Graham The 28th International Conference on Computational Linguistics, COLING 2020
Incorporating Context and Knowledge for Better Sentiment Analysis of Narrative Text
[PDF][Bibtex]
Chenyang Lyu, Tianbo Ji and Yvette Graham
The 42nd European Conference on Information Retrieval, ECIR 2020, The Third International Workshop on Narrative Extraction from Texts