Yiming Huang 黄忆铭

Hi, I'm Yimi 👋

I'm currently having fun as a research intern at TikTok, where I work with Dr. Qian Liu. Before this, I spent some exciting time at Microsoft Research Asia, working with Dr. Xiao Liu, Dr. Yeyun Gong, and Dr. Weizhu Chen.

I'll soon be joining UCSD as a PhD student under Prof. Jingbo Shang's guidance! 🎓✨

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.

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Publications
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models
MSRA AIR Team
Pre-print, 2025
GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks
Jianwen Luo*, Yiming Huang*, Jinxiang Meng, Fangyu Lei, Shizhu He, Xiao Liu, Shanshan Jiang, Bin Dong, Jun Zhao, Kang Liu
Pre-print, 2025
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
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
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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