📝 Selected Research Papers

My full paper list is shown at my google scholar.

Post-train/Reinforcement Learning in MT

• EMNLP 2024 Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level, Zhaopeng Feng*, Ruizhe Chen*, Yan Zhang, et al.
• Pre-print MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning, Zhaopeng Feng, Shaosheng Cao, Jiahan Ren, et al.
• Pre-print MT^3: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning, Zhaopeng Feng*, Yupu Liang*, Shaosheng Cao, et al.

Agent/Multi-Agent in MT

• ACL 2025 M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation, Zhaopeng Feng*, Jiayuan Su*, Jiamei Zheng, et al.
• NAACL 2025 Findings TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement, Zhaopeng Feng*, Yan Zhang*, et al.

Text Embedding/Test-time Alignment/Reasoning

• ENMLP 2023 Findings How Well Do Text Embedding Models Understand Syntax?, Yan Zhang*, Zhaopeng Feng*, Zhiyang Teng, Zuozhu Liu, Haizhou Li.
• Pre-print MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling, Zhaopeng Feng*, Jiahan Ren*, Jiayuan Su*, et al.
• Pre-print CP-Router: An Uncertainty-Aware Router Between LLM and LRM, Jiayuan Su*, Fulin Lin*, Zhaopeng Feng*, et al.