I am currently a researcher at DeepSeek.

My current passion focuses on scaling continual learning. Nothing else. Not RSI. Not harness-level evolving. Despite being appealing and having low-hanging fruit, these non-parametric, test-time stationary methods will not be the end. My bet is a straight shot to test-time parametric continual learning, similar to SSI (guessed). Currently, I am working with a small group of talented researchers with the same context and mission in DeepSeek towards this problem. If you are interested, feel free to contact me.

Previously, I was a final-year PhD student from the Department of Computer Science and Technology, Tsinghua University. I am fortunately supervised by Professor Maosong Sun and Zhiyuan Liu. In the summer of 2019, I visited MILA and conducted research under Professor Jian Tang.

Selected Publications

• LEGENT: Open Platform for Embodied Agents. Arxiv
  A Unity 3D platform for building your embodied agents powered by LLMs. Still under development! If you want to be a contributor please contact me via email.

• Unified View of Grokking, Double Descent and Emergent Abilities: A Perspective from Circuits Competition. Arxiv

  A simplest and beautiful mechanistic interpretability work. Providing perspective to understand the fascinating phenomena during model scaling and data scaling, encompassing Grokking, Double Descent, and Emergent Abilities.

  Yufei Huang, Shengding Hu, Xu Han, Zhiyuan Liu, Maosong Sun

• MiniCPM: Unveiling the Potential of End-side Large Language Models. Arxiv

  A small LLM with 2.4B non-embedding parameters that rivals Llama-13B or Mistral-7B. With several scaling experiments. WSD learning rate scheduler is proposed as a substitude for Cosine learning scheduler. Trending on Github and Huggingface.

• OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems. Arxiv

  A benchmark that challenges AGI with humanity’s most eminent intellectual contests, serving as a beacon for future AGI development and a platform for studying scalable oversight.

  Chaoqun He, Renjie Luo, Yuzhuo Bai, Shengding Hu, Zhen Leng Thai, Junhao Shen, Jinyi Hu, Xu Han, Yujie Huang, Yuxiang Zhang, Jie Liu, Lei Qi, Zhiyuan Liu, Maosong Sun

• ∞Bench: Extending Long Context Evaluation Beyond 100K Tokens. Arxiv

  Benchmark for super long context. Long context is almost everything (better in an efficient way)

  Xinrong Zhang, Yingfa Chen, Shengding Hu, Zihang Xu, Junhao Chen, Moo Khai Hao, Xu Han, Zhen Leng Thai, Shuo Wang, Zhiyuan Liu, Maosong Sun

• Predicting Emergent Abilities with Infinite Resolution Evaluation. Preprint

  The first work that achieves predictable scaling besides GPT-4

  Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun

• Won’t Get Fooled Again: Answering Questions with False Premises

  ACL Oral Representation

  Shengding Hu, Yifan Luo, Huadong Wang, Xingyi Cheng, Zhiyuan Liu, Maosong Sun

• Tool Learning with Foundation Models Preprints.

  A 75 page study of LLM tool use.

  Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, …(other 33 co-authors), Zhiyuan Liu, Maosong Sun.

• OpenPrompt: An Open-source Framework for Prompt-learning ACL 2022 Demo

  ACL 2022 Best Demo Award

  Ning Ding*, Shengding Hu*, Weilin Zhao*, Yulin Chen, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun

• Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification. ACL 2022.

  More than 200 citations

  Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, JinGang Wang, Juanzi Li, Wei Wu, Maosong Sun

• Delta tuning: A comprehensive study of parameter efficient methods for pre-trained language models Preprint

  Neural Machine Intelligence Cover Article

  Ning Ding*, Yujia Qin*, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun

• Graph Neural Networks: A Review of Methods and Applications. AI Open 2021.

  More than 4000 citations

  Jie Zhou*, Ganqu Cui*, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun.

For other papers, please refer to my google scholar

Selected Projects

Awards

Master&PhD

• National Natural Science Foundation of China (NSFC) Doctoral Project Leader (~1/100 among all subjects and all institutes in China)

• Siebel Scholar of Class 2023

  1/83 across the world, Price $30,000

• National Scholarship 2021.

  One of the highest award in Tsinghua University.

Bachelor

• Academic Excellence Award in 2016-2017 , 2017-2018, 2018-2019.
• Good reading scholarship in 2018-2019 year.
• Zhuzhou Scholarship in 2017-2018 year

Earlier

• Silver Medal in the 32nd National Middle School Physics Competition