2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CL2026
Orthogonal Representation Editing: Decoupling Semantic Entanglement in Batch Knowledge Editing of LLMs
Wenhao Yu, Zhicong Lu, Bo Lv +4
Knowledge editing aims to efficiently update factual information in Large Language Models (LLMs) without full retraining. However, existing methods still suffer from performance de…
cs.CL2022★ 2 cited
XPrompt: Exploring the Extreme of Prompt Tuning
Fang Ma, Chen Zhang, Lei Ren +5
Prompt tuning learns soft prompts to condition frozen Pre-trained Language Models (PLMs) for performing downstream tasks in a parameter-efficient manner. While prompt tuning has gr…
cs.IR2022
Adaptable Text Matching via Meta-Weight Regulator
Bo Zhang, Chen Zhang, Fang Ma +1
Neural text matching models have been used in a range of applications such as question answering and natural language inference, and have yielded a good performance. However, these…