2 papers
cs.CL2026
Don't Forget Your Embeddings: Robust Knowledge Erasure via Precise Editing of Embeddings
Clara Haya Suslik, Or Shafran, Mor Geva
As language models are increasingly deployed in real-world applications, the ability to erase specific knowledge from them becomes critical for safety and compliance. Prominent met…
cs.CL2025
Precise In-Parameter Concept Erasure in Large Language Models
Yoav Gur-Arieh, Clara Suslik, Yihuai Hong +2
Large language models (LLMs) often acquire knowledge during pretraining that is undesirable in downstream deployments, e.g., sensitive information or copyrighted content. Existing…