Zonglin Yang - RankMe

24 papers A* 2A 1Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning. CVPR 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
2025	J	`jnl`	Harnessing Large Language Models for Scientific Novelty Detection. CoRR Yan Liu, Zonglin Yang, Soujanya Poria, Thanh-Son Nguyen, Erik Cambria
2025	J	`jnl`	LLM4SR: A Survey on Large Language Models for Scientific Research. CoRR Ziming Luo, Zonglin Yang, Zexin Xu, Wei Yang, Xinya Du
2025	J	`jnl`	MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search. CoRR Zonglin Yang, Wanhao Liu, Ben Gao, Yujie Liu, Wei Li, Tong Xie, Lidong Bing, Wanli Ouyang, Erik Cambria, Dongzhan Zhou
2025	J	`jnl`	MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental Feedback. CoRR Wanhao Liu, Zonglin Yang, Jue Wang, Lidong Bing, Di Zhang, Dongzhan Zhou, Yuqiang Li, Houqiang Li, Erik Cambria, Wanli Ouyang
2025	A*	`conf`	MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses. ICLR Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, Dongzhan Zhou
2025	J	`jnl`	MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization. CoRR 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
2025	J	`jnl`	ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition. CoRR Yujie Liu, Zonglin Yang, Tong Xie, Jinjie Ni, Ben Gao, Yuqiang Li, Shixiang Tang, Wanli Ouyang, Erik Cambria, Dongzhan Zhou
2024	J	`jnl`	A survey on semantic processing techniques. Inf. Fusion Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria
2024	J	`jnl`	Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning. CoRR Di Zhang, Junxian Li, Jingdi Lei, Xunzhi Wang, Yujie Liu, Zonglin Yang, Jiatong Li, Weida Wang, Suorong Yang, Jianbo Wu, Peng Ye, Wanli Ouyang, Dongzhan Zhou
2024	—	`conf`	Language Models as Inductive Reasoners. EACL (1) Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei
2024	—	`conf`	Large Language Models for Automated Open-domain Scientific Hypotheses Discovery. ACL (Findings) Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria
2024	J	`jnl`	MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses. CoRR Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, Dongzhan Zhou
2023	J	`jnl`	A Survey on Semantic Processing Techniques. CoRR Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria
2023	A	`conf`	End-to-end Case-Based Reasoning for Commonsense Knowledge Base Completion. EACL Zonglin Yang, Xinya Du, Erik Cambria, Claire Cardie
2023	—	`conf`	Finding the Pillars of Strength for Multi-Head Attention. ACL (1) Jinjie Ni, Rui Mao, Zonglin Yang, Han Lei, Erik Cambria
2023	J	`jnl`	Finding the Pillars of Strength for Multi-Head Attention. CoRR Jinjie Ni, Rui Mao, Zonglin Yang, Han Lei, Erik Cambria
2023	J	`jnl`	Large Language Models for Automated Open-domain Scientific Hypotheses Discovery. CoRR Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria
2023	J	`jnl`	Logical Reasoning over Natural Language as Knowledge Representation: A Survey. CoRR Zonglin Yang, Xinya Du, Rui Mao, Jinjie Ni, Erik Cambria
2023	—	`conf`	Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing. EMNLP (Findings) Wei Li, Luyao Zhu, Wei Shao, Zonglin Yang, Erik Cambria
2022	J	`jnl`	Language Models as Inductive Reasoners. CoRR Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei
2020	—	`conf`	Improving Event Duration Prediction via Time-aware Pre-training. EMNLP (Findings) Zonglin Yang, Xinya Du, Alexander M. Rush, Claire Cardie
2020	J	`jnl`	Improving Event Duration Prediction via Time-aware Pre-training. CoRR Zonglin Yang, Xinya Du, Alexander M. Rush, Claire Cardie
2019	J	`jnl`	Reducing the dilution: An analysis of the information sensitiveness of capsule network with a practical solution. CoRR Zonglin Yang, Xinggang Wang