Zhaopeng Feng

According to our database, Zhaopeng Feng authored at least 16 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning.

Ruizhe Chen, Zhiting Fan, Tianze Luo, Heqing Zou, Zhaopeng Feng, Guiyang Xie, Hansheng Zhang, Zhuochen Wang, Zuozhu Liu, Huaijian Zhang

CoRR, July, 2025

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning.

Xiaotian Zhang, Yuan Wang, Zhaopeng Feng, Ruizhe Chen, Zhijie Zhou, Yan Zhang, Hongxia Xu, Jian Wu, Zuozhu Liu

CoRR, June, 2025

CP-Router: An Uncertainty-Aware Router Between LLM and LRM.

Jiayuan Su, Fulin Lin, Zhaopeng Feng, Han Zheng, Teng Wang, Zhenyu Xiao, Xinlong Zhao, Zuozhu Liu, Lu Cheng, Hongwei Wang

CoRR, May, 2025

MT³: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning.

Zhaopeng Feng, Yupu Liang, Shaosheng Cao, Jiayuan Su, Jiahan Ren, Zhe Xu, Yao Hu, Wenxuan Huang, Jian Wu, Zuozhu Liu

CoRR, May, 2025

CompBench: Benchmarking Complex Instruction-guided Image Editing.

Bohan Jia, Wenxuan Huang, Yuntian Tang, Junbo Qiao, Jincheng Liao, Shaosheng Cao, Fei Zhao, Zhaopeng Feng, Zhouhong Gu, Zhenfei Yin, Lei Bai, Wanli Ouyang, Lin Chen, Fei Zhao, Zihan Wang, Yuan Xie, Shaohui Lin

CoRR, May, 2025

MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning.

Zhaopeng Feng, Shaosheng Cao, Jiahan Ren, Jiayuan Su, Ruizhe Chen, Yan Zhang, Zhe Xu, Yao Hu, Jian Wu, Zuozhu Liu

CoRR, April, 2025

MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling.

Zhaopeng Feng, Jiahan Ren, Jiayuan Su, Jiamei Zheng, Zhihang Tang, Hongwei Wang, Zuozhu Liu

CoRR, March, 2025

TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement.

Zhaopeng Feng, Yan Zhang, Hao Li, Bei Wu, Jiayu Liao, Wenqiang Liu, Jun Lang, Yang Feng, Jian Wu, Zuozhu Liu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation.

Zhaopeng Feng, Jiayuan Su, Jiamei Zheng, Jiahan Ren, Yan Zhang, Jian Wu, Hongwei Wang, Zuozhu Liu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

M-MAD: Multidimensional Multi-Agent Debate Framework for Fine-grained Machine Translation Evaluation.

Zhaopeng Feng, Jiayuan Su, Jiamei Zheng, Jiahan Ren, Yan Zhang, Jian Wu, Hongwei Wang, Zuozhu Liu

CoRR, 2024

EC-Guide: A Comprehensive E-Commerce Guide for Instruction Tuning and Quantization.

Zhaopeng Feng, Zijie Meng, Zuozhu Liu

CoRR, 2024

Improving LLM-based Machine Translation with Systematic Self-Correction.

Zhaopeng Feng, Yan Zhang, Hao Li, Wenqiang Liu, Jun Lang, Yang Feng, Jian Wu, Zuozhu Liu

CoRR, 2024

Divide and Conquer for Large Language Models Reasoning.

Zijie Meng, Yan Zhang, Zhaopeng Feng, Yang Feng, Gaoang Wang, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu

CoRR, 2024

Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level.

Zhaopeng Feng, Ruizhe Chen, Yan Zhang, Zijie Meng, Zuozhu Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

How Well Do Text Embedding Models Understand Syntax?

Yan Zhang, Zhaopeng Feng, Zhiyang Teng, Zuozhu Liu, Haizhou Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Learning from Mixed Datasets: A Monotonic Image Quality Assessment Model.

Zhaopeng Feng, Keyang Zhang, Shuyue Jia, Baoliang Chen, Shiqi Wang

CoRR, 2022