Yiming Huang 黄忆铭

I am Yiming Huang, a research intern at MSRA, advised by Dr. Weizhu Chen, Dr. Yeyun Gong and Dr. Xiao Liu.

My research focuses on evaluating and enhancing the reasoning capabilities of large language models, particularly in math, code, and agent tasks. I also explore data synthesis and quality assessment.

I am currently looking for PhD positions for Fall 2025.

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Publications
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
Yiming Huang*, Jianwen Luo*, Yan Yu, Yitong Zhang, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu
EMNLP, 2024
Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
Yiming Huang, Xiao Liu, Yeyun Gong, Zhibin Gou, Yelong Shen, Nan Duan, Weizhu Chen
Preprint, 2024
Competition-level Problems Are Effective LLM Evaluators
Yiming Huang*, Zhenghao Lin*, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen
ACL, 2024
S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models
Fangyu Lei*, Qian Liu*, Yiming Huang*, Shizhu He, Jun Zhao, Kang Liu
NAACL, 2024
S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering
Fangyu Lei, Shizhu He, Xiang Li, Yifan Wei, Yiming Huang, Jun Zhao, Kang Liu
ACL, 2023
ADFA: Attention-Augmented Differentiable Top-k Feature Adaptation for Unsupervised Medical Anomaly Detection
Yiming Huang, Guole Liu, Yaoru Luo, Ge Yang
ICIP, 2023
Spatial and Planar Consistency for Semi-Supervised Volumetric Medical Image Segmentation
Yanfeng Zhou, Yiming Huang, Ge Yang
BMVC, 2023
Awards

  • USTB Principal Medal (10 out of all undergraduate graduates, highest honor of undergraduate student), 2023
  • Beijing Outstanding Graduate Awards (top 1% in Academics), 2023
  • National Scholarship (Top 0.2% nationwide), 2022
  • National Scholarship (Top 0.2% nationwide), 2021
  • National Scholarship (Top 0.2% nationwide), 2020