Scholar

Minghao Wu

Google Scholar ID: E2zcuy0AAAAJ

Monash University

Machine TranslationMultilingualityLanguage ModelingLanguage Agents

Citations & Impact

All-time

Citations

1,051

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Research Experience

Jul. 2025 – Nov. 2025: Visiting Researcher at The University of Edinburgh, supervised by Prof. Alexandra Birch.
Nov. 2024 – Apr. 2025: Research Intern at Alibaba Group, supervised by Dr. Longyue Wang.
Jul. 2023 – Oct. 2023: Research Intern at Tencent AI Lab, supervised by Dr. Longyue Wang.
Apr. 2023 – Jul. 2023: Visiting Researcher at Mohamed bin Zayed University of Artificial Intelligence, supervised by Prof. Alham Fikri Aji.
Jul. 2020 – Jul. 2021: Research Intern at Huawei Noah’s Ark Lab, supervised by Dr. Meng Zhang.
Aug. 2018 – Jul. 2019: Research Engineer at JD AI Research, JD.com, Inc., supervised by Dr. Xiaodong He.

Background

Currently on the job market.
Research interests include: Language Agents, Data Efficiency, and Multilinguality & Machine Translation.
In Language Agents, focuses on multi-agent communication and collaboration; proposed a multi-agent framework mimicking human translation workflows, achieving state-of-the-art results in literary translation; also explored multi-agent collaboration for long document summarization.
In Data Efficiency, investigated fine-tuning LLMs with heterogeneous data, bipartite graph-based data selection balancing quality and diversity, and large-scale synthetic dataset generation for fine-tuning.
In Multilinguality and Machine Translation, worked on multilingual supervised fine-tuning, activation steering for cross-lingual transfer, multilingual process reward modeling, document-level MT, and multilingual evaluation.

Co-authors

73 total