Papers
1–2 of 2Research Paper·Jan 16, 2026
Hierarchical Orthogonal Residual Spread for Precise Massive Editing in Large Language Models
Large language models (LLMs) exhibit exceptional performance across various domains, yet they face critical safety concerns. Model editing has emerged as an effective approach to mitigate these issues...
8.0 viability
Research Paper·Jan 27, 2026
Out-of-Distribution Generalization via Invariant Trajectories for Multimodal Large Language Model Editing
Knowledge editing emerges as a crucial technique for efficiently correcting incorrect or outdated knowledge in large language models (LLM). Existing editing methods for unimodal LLM rely on a rigid pa...
5.0 viability