Chenyang Lyu 吕晨阳

Staff Researcher at Alibaba and PhD from Ml-Labs, Dublin City University
Glasnevin, Dublin
Ireland

Email: lyuchenyang.dcu [at] gmail [dot] com
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About

I am currently a Staff Researcher/Tech Lead at the Alibaba AI Business Group, where I head the speech team. Previously, I was a researcher at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), focusing on multilingual and multimodal large language models. I earned my Ph.D. in Machine Learning from Dublin City University's ML-Labs in 2023, following a Bachelor of Engineering from Northeastern University in China in 2018. My research lies primarily in natural language processing, with a focus on large models, vision-language models, multilingual learning, multimodal systems, speech, and agentic AI. My Google Scholar citations are 2,223, with an h-index of 23 and an i10 index of 32. Recent work includes CoQuIR, selected at ACL 2026, plus accepted papers at COLM 2026, CVPR 2026, and ICASSP 2026. Other recent work spans LLMs, multilingual and multimodal benchmarks, speech, and LLM agents, including Marco-MoE, Trust No Tool, and Crayotter. GPT4Video was nominated for the Best Paper Award at ACM-MM 2024. My open-source projects and contributions have collectively earned 4k+ GitHub stars, and I won two championships and two runner-up prizes in the IWSLT 2025 speech translation competition. Prior to my current role, I gained extensive research experience in large language models through positions as a research assistant and visiting scholar at Tencent AI Lab, Japan's National Institute of Informatics (NII) and IBM Research-China. My work has been recognized with several awards, including the IWSLT 2025 Speech Translation Competition championship, the ACM-MM 2024 Best Paper nomination, the German DAAD AInet Fellowship, the 2023 Irish AI Young Talent of the Year Award and an SFI PhD Scholarship. Additionally, my research has been featured in media outlets such as Irish national broadcaster RTÉ, Slator, Irish Tech News, and Irish podcasts.

News

• [2026/07] Our paper CoQuIR is selected as an SAC Highlights Award at ACL 2026.
• [2026/07] Marco-MoE is accepted to COLM 2026.
• [2026/02] One paper elastic transformer is accepted to CVPR 2026.
• [2026/01] Three papers including Marco-Voice,Long Speech, MECAP-R1 are accepted to ICASSP 2026.
• [2025/12] Invited Industry Expert Talk on Marco Models at ACM Multimedia Asia 2025, hosted by Dr. Jianquan Liu (NEC).
• [2025/11] Invited Talk on LLMs Hallucination Detection at Southern University of Science and Technology (SUSTech), hosted by Dr. Linyi Yang.
• [2025/07] Our team secured Two Championships and Two Runner-ups at the IWSLT 2025 International Speech Translation Competition.
• [2025/05] Four papers including multilingual LLMs, hallucination detection are accepted to ACL 2025.
• [2024/10] Marco-LLM featured by global media including Bloomberg, CNBC, and South China Morning Post (SCMP).

• [2023/06]: We have released our Multi-modal Large Language Models named Macaw-LLM!.

Educational Background

• Sep 2019 - Jul 2023, Doctor of Philosophy in Computer Science, ML-Labs, Dublin City University
• Oct 2014 - June 2018, Bachelor of Engineering in Computer Software Engineering, Northeastern University

Research Experience

• Research Intern, Huawei Noah's Ark Lab, May 2020 - May 2021
• Research Intern, IBM Research-China, July 2018 - December 2018

Selected Publications

• CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval
  Jiahui Geng, Fengyu Cai, Shaobo Cui, Qing Li, Liangwei Chen, Chenyang Lyu, Haonan Li, Derui Zhu, Alexander Pretschner, Heinz Koeppl, Fakhri Karray
  In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) SAC Highlights Award
• Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling
  Fan Jiang, Yu Zhao, Chenyang Lyu, Tianqi Shi, Yichao Du, Feihu Jiang, Longyue Wang, Weihua Luo
  In Conference on Language Modeling (COLM 2026)
• ElasticFormer: Detecting Objects in HRW Shots via Elastic Computing Vision Transformer
  Xiang Li, Wenxi Li, Yuetong Wang, Chenyang Lyu, Haozhe Lin, Guiguang Ding, Yuchen Guo
  In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)
• LongSpeech: A Scalable Benchmark for Transcription, Translation and Understanding in Long Speech
  Fei Yang, Xuanfan Ni, Renyi Yang, Jiahui Geng, Qing Li, Chenyang Lyu*, Yichao Du, Longyue Wang, Weihua Luo, Kaifu Zhang
  In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2026)
• MECap-R1: Emotion-aware Policy with Reinforcement Learning for Multimodal Emotion Captioning
  Haoqin Sun, Chenyang Lyu*, Xiangyu Kong, Shiwan Zhao, Jiaming Zhou, Hui Wang, Aobo Kong, Jinghua Zhao, Longyue Wang, Weihua Luo, Kaifu Zhang, Yong Qin
  In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2026)
• Marco-Voice Technical Report
  Fengping Tian, Chenyang Lyu*, Xuanfan Ni, Haoqin Sun, Qingjuan Li, Zhiqiang Qian, Haijun Li, Longyue Wang, Zhao Xu, Weihua Luo, Kaifu Zhang
  In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2026)
• Trust No Tool: Evaluating and Defending LLM Agents under Untrusted Tool Feedback
  Lecheng Yan, Ruizhe Li, Xicheng Han, Wenxi Li, Binwu Wang, Longyue Wang, Chenyang Lyu, Guanhua Chen
  Preprint 2026, agent safety
• Crayotter: Traceable Multi-Agent Workflows for Long-Form Video Editing
  Lecheng Yan, Yichong Zhang, Ben Pan, Xiaoyu Zheng, Jiawei Qian, Anqi Wu, Wenxi Li, Chenyang Lyu
  Preprint 2026, multi-agent workflows
• CulturALL: Benchmarking Multilingual and Multicultural Competence of LLMs on Grounded Tasks
  Peiqin Lin, Chenyang Lyu, Wenjiang Luo, Haotian Ye, Md Mehrab Hossain, Chunlan Ma, Shaoxiong Ji, Younes Samih, Bo Zeng, Fan Jiang, Yuanbin Cao, Dilda Duisenbek, Adrian Neo Sau Xun, Daria Pozdniakova, Liubou Misevich, Nevena Marinkovic, Ngoc Gia Linh Nguyen, Thi Khanh Linh Do, Sarakmatak Sophy, Baotian Hu, Guanhua Chen, Gongbo Tang, Alham Fikri Aji, Longyue Wang, Weihua Luo
  Preprint 2026, multilingual benchmark
• ReFreeKV: Towards Threshold-Free KV Cache Compression
  Xuanfan Ni, Liyan Xu, Chenyang Lyu, Longyue Wang, Mo Yu, Lemao Liu, Fandong Meng, Jie Zhou, Piji Li
  Findings of ACL 2026
• SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures
  Nedjma Ousidhoum, Junho Myung, Carla Pérez-Almendros, Jiho Jin, Amr Keleg, Meriem Beloucif, Yi Zhou, Rodrigo Agerri, Vladimir Araujo, Naomi Baes, James Barry, Joanne Boisson, Nancy F. Chen, Christine de Kock, Aleksandra Edwards, Joseba Fernandez de Landa, Mohamed Fazli Imam, Huda Hakami, Shu-Kai Hsieh, Joseph Marvin Imperial, Roy Ka-Wei Lee, Zhengyuan Liu, Chenyang Lyu, Younes Samih, Johan Sjons, Bryan Tan, Asahi Ushio, Weihua Zheng, Alice Oh, José Camacho-Collados
  In Proceedings of the 20th International Workshop on Semantic Evaluation (SemEval-2026), ACL 2026 (Shared Task Organizer)
• Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models
  Wenxi Li, Jingchen Huang, Chenyang Lyu*, Mo-Ran Liu, Haozhe Lin, Guiguang Ding, Yuchen Guo
  In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)
• HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs
  Qing Li, Jiahui Geng, Zongxiong Chen, Derui Zhu, Yuxia Wang, Congbo Ma, Chenyang Lyu, Fakhri Karray
  In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)
• EditEval: Towards Comprehensive and Automatic Evaluation for Text-guided Video Editing
  Bingshuai Liu, Ante Wang, Zijun Min, Chenyang Lyu, Longyue Wang, Zhihao Wang, Xu Han, Peng Li, Jinsong Su
  In Proceedings of the 33rd ACM International Conference on Multimedia (ACM-MM 2025)
• GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation
  Zhanyu Wang, Longyue Wang, Zhen Zhao, Minghao Wu, Chenyang Lyu, Huayang Li, Deng Cai, Luping Zhou, Shuming Shi, Zhaopeng Tu
  In Proceedings of the 32nd ACM International Conference on Multimedia (ACM-MM 2024) Best Paper Awards Nomination
• CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
  David Romero*, Chenyang Lyu*, Haryo Akbarianto Wibowo, Teresa Lynn, Injy Hamed, Rada Mihalcea, Thamar Solorio, Alham Fikri Aji
  In Advances in Neural Information Processing Systems, Dataset and Benchmark Track (NeurIPS 2024) (Oral presentation)
• Benchmarking and Improving Long-Text Translation with Large Language Models
  Longyue Wang, Zefeng Du, Wenxiang Jiao, Chenyang Lyu, Jianhui Pang, Leyang Cui, Kaiqiang Song, Derek F. Wong, Shuming Shi, Zhaopeng Tu
  In Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)
• A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models
  Chenyang Lyu, Zefeng Du, Jitao Xu, Yitao Duan, Minghao Wu, Teresa Lynn, Alham Fikri Aji, Derek F. Wong, Longyue Wang
  In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
• Large Language Models as Code Executors: An Exploratory Study
  Chenyang Lyu, Lecheng Yan, Rui Xing, Wenxi Li, Younes Samih, Tianbo Ji, Longyue Wang
  Preprint 2024

Teaching Experience

• CA-146/297, Introduction to Programming, 2020, Dublin City University, Teaching Assistant
• CA-271, Machine Learning, 2022, Dublin City University, Guest Lecturer
• CA-168, Digital World, 2022, Dublin City University, Guest Lecturer

Professional Activities

• PC Member
  • The 45th European Conference on Information Retrieval, ECIR 2023
  • The 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023
  • The 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023
  • The 3rd Workshop on Financial Technology on the Web in conjunction with The Web Conference 2023, FinWeb 2023
• Conference Reviewer
  • The 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022
  • The 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022
  • The 29th International Conference on Computational Linguistics, COLING 2022
  • The 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023
• Workshop Reviewer
  • EvoNLP: The First Workshop on Ever Evolving NLP, EMNLP 2022
  • FinNLP: The Fourth Workshop on Financial Technology and Natural Language Processing, EMNLP 2022
  • FinWeb: The 3rd Workshop on Financial Technology on the Web, WWW 2023
• Journal Reviewer
  • IEEE Transaction on Multimedia, IEEE
  • Social Network Analysis and Mining, Springer
  • Connection Science, Taylor & Francis
• Regular Reviewer
  • ACL Rolling Review