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

Publication | Competition Award | Industry Experience | CV | MISC

I'm a final-year PhD Candidate at University of Notre Dame, advised by Prof. Xiangliang Zhang.

I study Agents and Systems, and how they co-evolve on the path to superintelligence, especially Long-Horizon Agent Training, Automated Recursive Self-Improvement/Systems (Code Intelligence, AutoResearch), Agent-System Co-Design, and Language Model Post-Training. I work as a research engineer who is driven to build novel & fundamental systems from scratch. My work (all first-authored) includes:

1. [Deeper; Reasoning Models] HPOReasoner: Can LLM Act as an Effective Reasoner to Coordinate Hyperparameter Optimization Tools for ML Experiments? Taicheng Guo, et al. In Submission

2. [Deeper; Reasoning Models; Agent Tuning] Knowledge Graph enhanced Large language models for recommendation Taicheng Guo, et al. In Submission

3. [Wider; 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 IJCAI'24 [Code]

4. [Wider; Mixture-of-LoRA Experts + Language Model Decoding] ReactionTeam: Teaming Model Experts for Divergent Thinking Beyond Typical Reaction Patterns. Taicheng Guo, Changsheng Ma, Xiuying Chen, Bozhao Nan, Kehan Guo, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang. In Submission

5. [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]

6. [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]

7. 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

1. KDD Cup 2020 Regular Machine Learning Competition Track.
   Ranked 2nd place. 🥈 ($1000)
   
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. 🏅 ($1000)
   

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