Bolong Zheng — accepted AI-conference papers

2025

DSCD: Large Language Model Detoxification with Self-Constrained Decoding

Ming Dong, Jinkui Zhang, Bolong Zheng, Xinhui Tu, Po Hu, Tingting He

EMNLP 2025

Detoxification in large language models (LLMs) remains a significant research challenge. Existing decoding detoxification methods are all based on external constraints, which require additional resource overhead and lose generation fluency. This work innovatively proposes Detoxification with Self-Co

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2023

Joint Document-Level Event Extraction via Token-Token Bidirectional Event Completed Graph

Qizhi Wan, Changxuan Wan, Keli Xiao, Dexi Liu, Chenliang Li, Bolong Zheng +2

ACL 2023long

We solve the challenging document-level event extraction problem by proposing a joint exaction methodology that can avoid inefficiency and error propagation issues in classic pipeline methods. Essentially, we address the three crucial limitations in existing studies. First, the autoregressive strate…

Cited by 18 Source ↗PDF ↗code ↗Scholar ↗