2 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.CL2026
SpecFuse: Ensembling Large Language Models via Next-Segment Prediction
Bo Lv, Nayu Liu, Chen Tang +3
Ensembles of generative large language models (LLMs) are a promising way to compensate for individual model limitations, integrating the strengths of different LLMs. Existing LLM e…