I am currently a postdoctoral research associate at the French National Centre for Scientific Research (CNRS) and the Lorraine Research Laboratory in Computer Science and its Applications (LORIA). I work with Claire Gardent (ACL Fellow; member of the French Academy of Sciences) in the MosAIk team.

My research interests include data-to-text generation, text-to-data extraction, constrained decoding, and language model evaluation, with a focus on faithfulness and data–text alignment.

I completed my PhD research in the CEDAR team at Inria Saclay and the Computer Science Laboratory of École polytechnique (LIX), supervised by Ioana Manolescu and Oana Balalau. I received my master’s degree from the Institute of Computing Technology, Chinese Academy of Sciences and my undergraduate degree from the College of Elite Education (now known as Qian Xuesen Honours College), Nanjing University of Science and Technology.

I’d be thankful if you have interesting research topics to discuss with me.

📝 Publications

• XQDT: eXplainable and Quantitative Data-Text Alignment Metric with Feedback Signals

  Kun Efimov-Zhang, Yifei Song, Claire Gardent

  EMNLP Main, 2026

• Cross-Domain, Multi-Task Data-to-Text Generation without In-Domain Training Data

  Yifei Song, Kun Efimov-Zhang, Claire Gardent

  EMNLP Findings, 2026

• Structured Discourse Representation for Factual Consistency Verification

  Kun Zhang, Oana Balalau, Ioana Manolescu

  ACL Findings, 2025

• FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation

  Kun Zhang, Oana Balalau, Ioana Manolescu

  EMNLP Findings, 2023

• Learning Positional Priors for Pretraining 2D Pose Estimators

  Kun Zhang, Ping Yao, Rui Wu, Chuanguang Yang, Ding Li, Min Du, Kai Deng, Renbiao Liu, Tianyao Zheng

  ACM MM (HUMA Workshop), 2021

• DSPNet: A Low Computational-cost Network for Human Pose Estimation

  Fujin Zhong, Mingyang Li, Kun Zhang, Jun Hu, Li Liu

  Neurocomputing, 2021

• Learning Enhanced Resolution-wise Features for Human Pose Estimation

  Kun Zhang, Peng He, Ping Yao, Ge Chen, Rui Wu, Min Du, Huimin Li, Li Fu, Tianyao Zheng

  IEEE ICIP, 2020

• Gated Convolutional Networks with Hybrid Connectivity for Image Classification

  Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kun Zhang, Kaiqiang Xu, Chao Li, Yongjun Xu

  AAAI, 2020

• Binary Feature Matching Approach Based on Sequential Sampling Evaluation

  Li He, Chuanwei Zhou, Kun Zhang, Chaoxia Shi

  Computer Engineering, 2017