Haotong Yang

According to our database, Haotong Yang authored at least 14 papers between 2022 and 2026.

Collaborative distances:

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

2026

GREPO: A Benchmark for Graph Neural Networks on Repository-Level Bug Localization.

Juntong Wang, Libin Chen, Xiyuan Wang, Shijia Kang, Haotong Yang, Da Zheng, Muhan Zhang

CoRR, February, 2026

LiteToken: Removing Intermediate Merge Residues From BPE Tokenizers.

Yike Sun, Haotong Yang, Zhouchen Lin, Muhan Zhang

CoRR, February, 2026

Proof-RM: A Scalable and Generalizable Reward Model for Math Proof.

Haotong Yang, Zitong Wang, Shijia Kang, Siqi Yang, Wenkai Yu, Xu Niu, Yike Sun, Yi Hu, Zhouchen Lin, Muhan Zhang

CoRR, February, 2026

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, March, 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, February, 2025

Training Large Language Models to be Better Rule Followers.

Yi Hu, Shijia Kang, Haotong Yang, Haotian Xu, Muhan Zhang

CoRR, February, 2025

Number Cookbook: Number Understanding of Language Models and How to Improve It.

Haotong Yang, Yi Hu, Shijia Kang, Zhouchen Lin, Muhan Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Case-Based or Rule-Based: How Do Transformers Do the Math?

Yi Hu, Xiaojuan Tang, Haotong Yang, Muhan Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Neural Common Neighbor with Completion for Link Prediction.

Xiyuan Wang, Haotong Yang, Muhan Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Chain of Images for Intuitively Reasoning.

Fanxu Meng, Haotong Yang, Yiding Wang, 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

Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models.

Yi Hu, Haotong Yang, Zhouchen Lin, Muhan Zhang

CoRR, 2023

2022

Rethinking Knowledge Graph Evaluation Under the Open-World Assumption.

Haotong Yang, Zhouchen Lin, Muhan Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022