Taicheng Guo PhD Student Computer Science and Engineering University of Notre Dame tguo2@nd.edu

Publication | Competition Award | Experience | CV | MISC

I am a second-year PhD student at University of Notre Dame beginning in 2023 Spring, advised by Prof. Xiangliang Zhang. Previously, I received my M.S. degree in computer science from King Abdullah University of Science and Technology (KAUST). I also received my B.Eng. degree in software engineering from Xidian University.

My long-term research goal is to develop intelligent systems with more effective and efficient planning and reasoning abilities.
For technologies, my studies encompass Large language models (LLM), LLM-based Agents, Mixture-of-Experts (MoE), and Generative Models
For practical applications, my studies encompass Recommender Systems, Bayesian Optimization, Scientific Domains

I am actively seeking for Research Intern Opportunities:
- Part-time Intern opportunity starting Sept. 2024
- Full time intern opportunity starting Jan. 2025
- Interested topics including Sparse LLMs, MoE, LLM Agent, Code Generation. Feel free to connect! Thanks!
Additonally, if you are seeking any form of academic cooperation, please feel free to contact me at tguo2@nd.edu or wechat ID: Great_buckwheat

1. [LLM Agent] Large Language Model based Multi-Agents: A Survey of Progress and Challenges. Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang. In Submission [Code]

2. [MoE+Generative Models] Beyond the Typical: Advanced Prediction of Chemical Reactions by Capturing Multiple Electron Redistribution Patterns via Mixture-of-experts. Taicheng Guo, Changsheng Ma, Xiuying Chen, Bozhao Nan, Kehan Guo, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang. In Submission

3. [LLM] What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks. Taicheng Guo, Kehan Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang. In the Conference on Neural Information Processing Systems Dataset and Benchmark Track (NeurIPS 2023) [Code]

4. [Language Models + recommendation] Few-shot News Recommendation via Cross-lingual Transfer. Taicheng Guo, Lu Yu, Basem Shihada, Xiangliang Zhang. In the Proceedings of the ACM Web Conference (WWW 2023) [Code]

5. Data Interpreter: An LLM Agent For Data Science. Sirui Hong, Yizhang Lin, Bangbang Liu, Binhao Wu, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Lingyao Zhang, Mingchen Zhuge, Taicheng Guo, Tuo Zhou, Wei Tao, Wenyi Wang, Xiangru Tang, Xiangtao Lu, Xinbing Liang, Yaying Fei, Yuheng Cheng, Zongze Xu, Chenglin Wu, Li Zhang, Min Yang, Xiawu Zheng. Preprint

6. A Property-Guided Diffusion Model for Generating Molecular Graphs.
   Changsheng Ma, Taicheng Guo, Qiang Yang, Xiuying Chen, Xin Gao, Shangsong Liang, Nitesh Chawla, Xiangliang Zhang
   In the IEEE International Conference on Acoustics, Speech and Signal Processing.(ICASSP 2024)
   
7. SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark.
   Zhenwen Liang, Kehan Guo, Gang Liu, Taicheng Guo, Yujun Zhou, Tianyu Yang, Jiajun Jiao, Renjie Pi, Jipeng Zhang, Xiangliang Zhang
   Preprint
   
8. Rethinking Scientific Summarization Evaluation: Grounding Explainable Metrics on Facet-aware Benchmark.
   Xiuying Chen, Tairan Wang, Qingqing Zhu, Taicheng Guo, Shen Gao, Zhiyong Lu, Xin Gao, Xiangliang Zhang
   Preprint
   
9. Defending Jailbreak Prompts via In-Context Adversarial Game.
   Yujun Zhou, Yufei Han, Haomin Zhuang, Taicheng Guo, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang
   Preprint
   
10. Data-Efficient, Chemistry-Aware Machine Learning Predictions of Diels–Alder Reaction Outcomes.
    Angus Keto, Taicheng Guo, Morgan Underdue, Thijs Stuyver, Connor Coley, Xiangliang Zhang, Elizabeth Krenske, Olaf Wiest
    Preprint
    

1. KDD Cup 2020 Regular Machine Learning Competition Track.
   Ranked 2nd place. 🥈
   
2. NeurIPS 2020 Black-Box Optimization Challenge.
   Ranked 2nd place in warm-start friendly leaderboard. 🥈
   
3. Kaggle Arabic Sentiment Analaysis.
   Ranked 5th place.
   
4. Kaggle Expert
   
5. IEEE Computer Society Global student challenge.
   Ranked 1st place. 🏅
   

Last update: Mar, 2024. Webpage template borrows from Stephen Bach.