Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions. - Jierui Li; Lei Wang 185; Jipeng Zhang; Yan Wang 060; Bing Tian Dai; Dongxiang Zhang (ACL (1), 2019)

Evaluating Explanation Methods for Neural Machine Translation. - Jierui Li; Lemao Liu; Huayang Li; Guanlin Li; Guoping Huang; Shuming Shi 001 (ACL, 2020)

Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction. - Zhanming Jie; Jierui Li; Wei Lu 011 (ACL (1), 2022)

Explaining Competitive-Level Programming Solutions using LLMs. - Jierui Li; Szymon Tworkowski; Yingying Wu; Raymond J. Mooney (CoRR, 2023)

ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models. - Jierui Li; Vipul Raheja; Dhruv Kumar 005 (NAACL-HLT, 2024)

Distilling Algorithmic Reasoning from LLMs via Explaining Solution Programs. - Jierui Li; Raymond Mooney (CoRR, 2024)

CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models. - Jierui Li; Hung Le 003; Yingbo Zhou; Caiming Xiong; Silvio Savarese; Doyen Sahoo (NAACL (Long Papers), 2025)

Dynamic Adjacency Matrix Learning and Multi-Order Random Walk Aggregation for Alzheimer's Disease Diagnosis From Resting-State fMRI. - Zhaoyang Guan; Jierui Li; Yuxin Liu; Xianrui Shan (IEEE Access, 2025)

AlgoSimBench: Identifying Algorithmically Similar Problems for Competitive Programming. - Jierui Li; Raymond Mooney (CoRR, 2025)