Improving Few-shot News Recommendation via Cross-lingual Transfer. - Taicheng Guo; Lu Yu 006; Xiangliang Zhang 001 (CoRR, 2022)

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 001 (NeurIPS, 2023)

Few-shot News Recommendation via Cross-lingual Transfer. - Taicheng Guo; Lu Yu 006; Basem Shihada; Xiangliang Zhang 001 (WWW, 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 001 (CoRR, 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 001 (CoRR, 2023)

SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark. - Zhenwen Liang; Kehan Guo; Gang Liu; Taicheng Guo; Yujun Zhou 002; Tianyu Yang; Jiajun Jiao; Renjie Pi; Jipeng Zhang; Xiangliang Zhang 001 (ACL (Short Papers), 2024)

A Property-Guided Diffusion Model For Generating Molecular Graphs. - Changsheng Ma; Taicheng Guo; Qiang Yang 015; Xiuying Chen; Xin Gao 001; Shangsong Liang; Nitesh V. Chawla; Xiangliang Zhang 001 (ICASSP, 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 001 (IJCAI, 2024)

Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation. - Kehan Guo; Bozhao Nan; Yujun Zhou 002; Taicheng Guo; Zhichun Guo; Mihir Surve; Zhenwen Liang; Nitesh V. Chawla; Olaf Wiest; Xiangliang Zhang 001 (NeurIPS, 2024)

Defending Jailbreak Prompts via In-Context Adversarial Game. - Yujun Zhou 002; Yufei Han 001; Haomin Zhuang; Taicheng Guo; Kehan Guo; Zhenwen Liang; Hongyan Bao; Xiangliang Zhang 001 (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 001; Xiangliang Zhang 001 (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; et al. (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 001; Xiangliang Zhang 001 (CoRR, 2024)

Knowledge Graph Enhanced Language Agents for Recommendation. - Taicheng Guo; Chaochun Liu; Hai Wang; Varun Mannam; Fang Wang; Xin Chen; Xiangliang Zhang 001; Chandan K. Reddy (CoRR, 2024)

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; et al. (ACL (Findings), 2025)

Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study. - Yujun Zhou 002; Jiayi Ye; Zipeng Ling; Yufei Han 001; Yue Huang 001; Haomin Zhuang; Zhenwen Liang; Kehan Guo; Taicheng Guo; Xiangqi Wang; Xiangliang Zhang 001 (CoRR, 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 001; Xiangliang Zhang 001 (ACM Trans. Inf. Syst., 2025)