LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning. - Jian Liu 030; Leyang Cui; Hanmeng Liu; Dandan Huang; Yile Wang 001; Yue Zhang 004 (IJCAI, 2020)

Natural Language Inference in Context - Investigating Contextual Reasoning over Long Texts. - Hanmeng Liu; Leyang Cui; Jian Liu 030; Yue Zhang 004 (AAAI, 2021)

Solving Aspect Category Sentiment Analysis as a Text Generation Task. - Jian Liu 030; Zhiyang Teng; Leyang Cui; Hanmeng Liu; Yue Zhang 004 (EMNLP (1), 2021)

GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective. - Linyi Yang; Shuibai Zhang; Libo Qin 003; Yafu Li; Yidong Wang; Hanmeng Liu; Jindong Wang 001; Xing Xie 001; Yue Zhang 004 (ACL (Findings), 2023)

LogiCoT: Logical Chain-of-Thought Instruction Tuning. - Hanmeng Liu; Zhiyang Teng; Leyang Cui; Chaoli Zhang; Qiji Zhou; Yue Zhang 004 (EMNLP (Findings), 2023)

Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4. - Hanmeng Liu; Ruoxi Ning; Zhiyang Teng; Jian Liu 030; Qiji Zhou; Yue Zhang 004 (CoRR, 2023)

LogiCoT: Logical Chain-of-Thought Instruction-Tuning Data Collection with GPT-4. - Hanmeng Liu; Zhiyang Teng; Leyang Cui; Chaoli Zhang; Qiji Zhou; Yue Zhang 004 (CoRR, 2023)

GLoRE: Evaluating Logical Reasoning of Large Language Models. - Hanmeng Liu; Zhiyang Teng; Ruoxi Ning; Jian Liu 030; Qiji Zhou; Yue Zhang 004 (CoRR, 2023)

LogiQA 2.0 - An Improved Dataset for Logical Reasoning in Natural Language Understanding. - Hanmeng Liu; Jian Liu 030; Leyang Cui; Zhiyang Teng; Nan Duan; Ming Zhou 001; Yue Zhang 004 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

LogiQA 2.0. - Hanmeng Liu (IEEE DataPort, 2023)

Break the Chain: Large Language Models Can be Shortcut Reasoners. - Mengru Ding; Hanmeng Liu; Zhizhang Fu; Jian Song; Wenbo Xie; Yue Zhang 004 (CoRR, 2024)

Logical Reasoning in Large Language Models: A Survey. - Hanmeng Liu; Zhizhang Fu; Mengru Ding; Ruoxi Ning; Chaoli Zhang; Xiaozhang Liu; Yue Zhang 004 (CoRR, 2025)

Evaluating the Logical Reasoning Abilities of Large Reasoning Models. - Hanmeng Liu; Yiran Ding; Zhizhang Fu; Chaoli Zhang; Xiaozhang Liu; Yue Zhang 004 (CoRR, 2025)

Multimodal Fusion And Sparse Attention-based Alignment Model for Long Sequential Recommendation. - Yongrui Fu; Jian Liu; Tao Li; Zonggang Wu; Shouke Qin; Hanmeng Liu (CoRR, 2025)