Rethinking Knowledge Graph Evaluation Under the Open-World Assumption. - Haotong Yang; Zhouchen Lin; Muhan Zhang (NeurIPS, 2022)

Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models. - Yi Hu; Haotong Yang; Zhouchen Lin; Muhan Zhang (CoRR, 2023)

Explaining the Complex Task Reasoning of Large Language Models with Template-Content Structure. - Haotong Yang; Fanxu Meng; Zhouchen Lin; Muhan Zhang (CoRR, 2023)

Chain of Images for Intuitively Reasoning. - Fanxu Meng; Haotong Yang; Yiding Wang; Muhan Zhang (CoRR, 2023)

Neural Common Neighbor with Completion for Link Prediction. - Xiyuan Wang; Haotong Yang; Muhan Zhang (ICLR, 2024)

Case-Based or Rule-Based: How Do Transformers Do the Math? - Yi Hu; Xiaojuan Tang; Haotong Yang; Muhan Zhang (ICML, 2024)

GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model. - Haotong Yang; Xiyuan Wang; Qian Tao; Shuxian Hu; Zhouchen Lin; Muhan Zhang (CoRR, 2024)

Number Cookbook: Number Understanding of Language Models and How to Improve It. - Haotong Yang; Yi Hu; Shijia Kang; Zhouchen Lin; Muhan Zhang (ICLR, 2025)

Design of high sensitivity re-transmittable chipless tag temperature sensor based on alumina ceramic. - Mengnan Wang; Yawen He; Haotong Yang; Zhonghua Ma (IEICE Electron. Express, 2025)

Training Large Language Models to be Better Rule Followers. - Yi Hu; Shijia Kang; Haotong Yang; Haotian Xu; Muhan Zhang (CoRR, 2025)

LIFT: Improving Long Context Understanding of Large Language Models through Long Input Fine-Tuning. - Yansheng Mao; Yufei Xu; Jiaqi Li; Fanxu Meng; Haotong Yang; Zilong Zheng; Xiyuan Wang; Muhan Zhang (CoRR, 2025)

VACT: A Video Automatic Causal Testing System and a Benchmark. - Haotong Yang; Qingyuan Zheng; Yunjian Gao; Yongkun Yang; Yangbo He; Zhouchen Lin; Muhan Zhang (CoRR, 2025)