Feng, Xiaocheng

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

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Feng, Z., Guo, D., Tang, D., Duan, N., Feng, X., Gong, M., Shou, L., Qin, B., Liu, T., Jiang, D., et al. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Software Engineering ResearchTopic Modeling

Cited by 2,824

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

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Feng, Z., Guo, D., Tang, D., Duan, N., Feng, X., Gong, M., Shou, L., Qin, B., Liu, T., Jiang, D., et al. (2020) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 243

The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey

Huang, Y., Feng, X., Feng, X., & Qin, B. (2021) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 62

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

Improving Controllable Text Generation with Position-Aware Weighted Decoding

Gu, Y., Feng, X., Ma, S., Wu, J., Gong, H., & Qin, B. (2022) · Findings of the Association for Computational Linguistics: ACL 2022

Topic ModelingNatural Language Processing Techniques

Cited by 12