1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Weed Out, Then Harvest: Dual Low-Rank Adaptation is an Effective Noisy Label Detector for Noise-Robust Learning
Bo Yuan, Yulin Chen, Yin Zhang
Parameter-efficient fine-tuning (PEFT) large language models (LLMs) have shown impressive performance in various downstream tasks. However, in many real-world scenarios, the collec…
cs.LG2025
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance
Bo Yuan, Yulin Chen, Yin Zhang +1
Learning from noisy labels (LNL) is a challenge that arises in many real-world scenarios where collected training data can contain incorrect or corrupted labels. Most existing solu…
cs.CL2022★ 1 cited
BTPK-based interpretable method for NER tasks based on Talmudic Public Announcement Logic
Yulin Chen, Beishui Liao, Bruno Bentzen +4
As one of the basic tasks in natural language processing (NLP), named entity recognition (NER) is an important basic tool for downstream tasks of NLP, such as information extractio…