Taicheng Guo

According to our database, Taicheng Guo authored at least 17 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

New Paradigm for Evaluating Scholar Summaries: A Facet-aware Metric and a Meta-evaluation Benchmark.

Tairan Wang, Xiuying Chen, Qingqing Zhu, Taicheng Guo, Shen Gao, Zhiyong Lu, Xin Gao, Xiangliang Zhang

ACM Trans. Inf. Syst., July, 2025

Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study.

Yujun Zhou, Jiayi Ye, Zipeng Ling, Yufei Han, Yue Huang, Haomin Zhuang, Zhenwen Liang, Kehan Guo, Taicheng Guo, Xiangqi Wang, Xiangliang Zhang

CoRR, June, 2025

Data Interpreter: An LLM Agent for Data Science.

Sirui Hong, Yizhang Lin, Bang Liu, Bangbang Liu, Binhao Wu, Ceyao Zhang, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Li Zhang, Lingyao Zhang, Min Yang, Mingchen Zhuge, Taicheng Guo, Tuo Zhou, Wei Tao, Robert Tang, Xiangtao Lu, Xiawu Zheng, Xinbing Liang, Yaying Fei, Yuheng Cheng, Yongxin Ni, Zhibin Gou, Zongze Xu, Yuyu Luo, Chenglin Wu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Knowledge Graph Enhanced Language Agents for Recommendation.

Taicheng Guo, Chaochun Liu, Hai Wang, Varun Mannam, Fang Wang, Xin Chen, Xiangliang Zhang, Chandan K. Reddy

CoRR, 2024

ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering.

Xiuying Chen, Tairan Wang, Taicheng Guo, Kehan Guo, Juexiao Zhou, Haoyang Li, Mingchen Zhuge, Jürgen Schmidhuber, Xin Gao, Xiangliang Zhang

CoRR, 2024

Data Interpreter: An LLM Agent For Data Science.

Sirui Hong, Yizhang Lin, Bang Liu, Bangbang Liu, Binhao Wu, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Li Zhang, Lingyao Zhang, Min Yang, Mingchen Zhuge, Taicheng Guo, Tuo Zhou, Wei Tao, Wenyi Wang, Xiangru Tang, Xiangtao Lu, Xiawu Zheng, Xinbing Liang, Yaying Fei, Yuheng Cheng, Zongze Xu, Chenglin Wu

CoRR, 2024

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

CoRR, 2024

Defending Jailbreak Prompts via In-Context Adversarial Game.

Yujun Zhou, Yufei Han, Haomin Zhuang, Taicheng Guo, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang

CoRR, 2024

Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation.

Kehan Guo, Bozhao Nan, Yujun Zhou, Taicheng Guo, Zhichun Guo, Mihir Surve, Zhenwen Liang, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Property-Guided Diffusion Model For Generating Molecular Graphs.

Changsheng Ma, Taicheng Guo, Qiang Yang, Xiuying Chen, Xin Gao, Shangsong Liang, Nitesh V. Chawla, Xiangliang Zhang

Proceedings of the IEEE International Conference on Acoustics, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Modeling non-uniform uncertainty in Reaction Prediction via Boosting and Dropout.

Taicheng Guo, Changsheng Ma, Xiuying Chen, Bozhao Nan, Kehan Guo, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

CoRR, 2023

What indeed can GPT models do in chemistry? A comprehensive benchmark on eight tasks.

Taicheng Guo, Kehan Guo, Bozhao Nan, Zhengwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

CoRR, 2023

Few-shot News Recommendation via Cross-lingual Transfer.

Taicheng Guo, Lu Yu, Basem Shihada, Xiangliang Zhang

Proceedings of the ACM Web Conference 2023, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Improving Few-shot News Recommendation via Cross-lingual Transfer.

Taicheng Guo, Lu Yu, Xiangliang Zhang

CoRR, 2022