Yu, Weijiang

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Huang, L., Yu, W., Ma, W., Zhong, W., Feng, Z., Wang, H., Chen, Q., Peng, W., Feng, X., Qin, B., et al. (2025) · ACM Transactions on Information Systems

Topic ModelingInformation Retrieval and Search Behavior

Cited by 4,688

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Huang, L., Yu, W., Ma, W., Zhong, W., Feng, Z., Wang, H., Chen, Q., Peng, W., Feng, X., Qin, B., et al. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 2,516

Spatial transcriptomics prediction from histology jointly through Transformer and graph neural networks

Zeng, Y., Wei, Z., Yu, W., Yin, R., Yuan, Y., Li, B., Tang, Z., Lu, Y., & Yang, Y. (2022) · Briefings in Bioinformatics

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 211

Identifying B-cell epitopes using AlphaFold2 predicted structures and pretrained language model

Zeng, Y., Wei, Z., Yuan, Q., Chen, S., Yu, W., Lu, Y., Gao, J., & Yang, Y. (2023) · Bioinformatics

vaccines and immunoinformatics approachesMachine Learning in Bioinformatics

Cited by 73

Learning to break: Knowledge-enhanced reasoning in multi-agent debate system

Wang, H., Du, X., Yu, W., Chen, Q., Zhu, K., Chu, Z., Yan, L., & Guan, Y. (2025) · Neurocomputing

Multi-Agent Systems and NegotiationTopic Modeling

Cited by 36

TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models

Chu, Z., Chen, J., Chen, Q., Yu, W., Wang, H., Liu, M., & Qin, B. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 20

Learning Fine-Grained Grounded Citations for Attributed Large Language Models

Huang, L., Feng, X., Ma, W., Gu, Y., Zhong, W., Feng, X., Yu, W., Peng, W., Tang, D., Tu, D., et al. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingNatural Language Processing Techniques

Cited by 12

Beamaggr: Beam aggregation reasoning over multi-source knowledge for multi-hop question answering

Chu, Z., Chen, J., Chen, Q., Wang, H., Zhu, K., Du, X., Yu, W., Liu, M., & Qin, B. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 11