Zonglin Yang

According to our database, Zonglin Yang authored at least 17 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization.

Xingxuan Li, Yao Xiao, Dianwen Ng, Hai Ye, Yue Deng, Xiang Lin, Bin Wang, Zhanfeng Mo, Chong Zhang, Yueyi Zhang, Zonglin Yang, Ruilin Li, Lei Lei, Shihao Xu, Han Zhao, Weiling Chen, Feng Ji, Lidong Bing

CoRR, July, 2025

Harnessing Large Language Models for Scientific Novelty Detection.

Yan Liu, Zonglin Yang, Soujanya Poria, Thanh-Son Nguyen, Erik Cambria

CoRR, May, 2025

MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search.

Zonglin Yang, Wanhao Liu, Ben Gao, Yujie Liu, Wei Li, Tong Xie, Lidong Bing, Wanli Ouyang, Erik Cambria, Dongzhan Zhou

CoRR, May, 2025

MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental Feedback.

Wanhao Liu, Zonglin Yang, Jue Wang, Lidong Bing, Di Zhang, Dongzhan Zhou, Yuqiang Li, Houqiang Li, Erik Cambria, Wanli Ouyang

CoRR, May, 2025

ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition.

Yujie Liu, Zonglin Yang, Tong Xie, Jinjie Ni, Ben Gao, Yuqiang Li, Shixiang Tang, Wanli Ouyang, Erik Cambria, Dongzhan Zhou

CoRR, March, 2025

LLM4SR: A Survey on Large Language Models for Scientific Research.

Ziming Luo, Zonglin Yang, Zexin Xu, Wei Yang, Xinya Du

CoRR, January, 2025

MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses.

Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, Dongzhan Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning.

Di Zhang, Jingdi Lei, Junxian Li, Xunzhi Wang, Yujie Liu, Zonglin Yang, Jiatong Li, Weida Wang, Suorong Yang, Jianbo Wu, Peng Ye, Wanli Ouyang, Dongzhan Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

A survey on semantic processing techniques.

Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria

Inf. Fusion, January, 2024

Language Models as Inductive Reasoners.

Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Large Language Models for Automated Open-domain Scientific Hypotheses Discovery.

Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Logical Reasoning over Natural Language as Knowledge Representation: A Survey.

Zonglin Yang, Xinya Du, Rui Mao, Jinjie Ni, Erik Cambria

CoRR, 2023

Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing.

Wei Li, Luyao Zhu, Wei Shao, Zonglin Yang, Erik Cambria

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

End-to-end Case-Based Reasoning for Commonsense Knowledge Base Completion.

Zonglin Yang, Xinya Du, Erik Cambria, Claire Cardie

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Finding the Pillars of Strength for Multi-Head Attention.

Jinjie Ni, Rui Mao, Zonglin Yang, Han Lei, Erik Cambria

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2020

Improving Event Duration Prediction via Time-aware Pre-training.

Zonglin Yang, Xinya Du, Alexander M. Rush, Claire Cardie

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Reducing the dilution: An analysis of the information sensitiveness of capsule network with a practical solution.

Zonglin Yang, Xinggang Wang

CoRR, 2019