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:
(1) evaluating and enhancing the reasoning capabilities of large language models, particularly in math, code, and agent tasks
(2) exploring data-centric methods to improve learning efficiency and adaptability.

In the future, I aim to creating more efficient, adaptable, and reliable LMs and agents.

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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
AAAI, 2025
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

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