Wanhao Liu

According to our database, Wanhao Liu authored at least 10 papers between 2025 and 2026.

Collaborative distances:

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

2026

OmniMatBench: A Human-Calibrated Multimodal Reasoning Benchmark Across 19 Materials Science Subfields.

Wanhao Liu, Jiaqing Xie, Qian Tan, Weida Wang, Jue Wang, Ran Sun, Zhuo Yang, Wanli Ouyang, Lei Bai, Tianfan Fu, Lu Chen, Xin Chen, Yuqiang Li

CoRR, May, 2026

SkillsInjector: Dynamic Skill Context Construction for LLM Agents.

Yanchao Li, Wanhao Liu, Ben Gao, Jiaqing Xie, Zhehong Ai, Na Zou, Yuqiang Li, Tianfan Fu

CoRR, May, 2026

PolyReal: A Benchmark for Real-World Polymer Science Workflows.

Wanhao Liu, Weida Wang, Jiaqing Xie, Suorong Yang, Jue Wang, Benteng Chen, Guangtao Mei, Zonglin Yang, Shufei Zhang, Yuchun Mo, Lang Cheng, Jin Zeng, Houqiang Li, Wanli Ouyang, Yuqiang Li

CoRR, April, 2026

AC-MASAC: An Attentive Curriculum Learning Framework for Heterogeneous UAV Swarm Coordination.

Wanhao Liu, Junhong Dai, Yixuan Zhang, Shengyun Yin, Panshuo Li

CoRR, February, 2026

2025

MolAct: An Agentic RL Framework for Molecular Editing and Property Optimization.

Zhuo Yang, Yeyun Chen, Jiaqing Xie, Ben Gao, Shuaike Shen, Wanhao Liu, Liujia Yang, Beilun Wang, Tianfan Fu, Yuqiang Li

CoRR, December, 2025

Chem-R: Learning to Reason as a Chemist.

Weida Wang, Benteng Chen, Di Zhang, Wanhao Liu, Shuchen Pu, Ben Gao, Jin Zeng, Xiaoyong Wei, Tianshu Yu, Shuzhou Sun, Tianfan Fu, Wanli Ouyang, Lei Bai, Jiatong Li, Zifu Wang, Yuqiang Li, Shufei Zhang

CoRR, October, 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

ChemMLLM: Chemical Multimodal Large Language Model.

Qian Tan, Dongzhan Zhou, Peng Xia, Wanhao Liu, Wanli Ouyang, Lei Bai, Yuqiang Li, Tianfan Fu

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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