llm-editing

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#llm-editing

LadderEdit: Edit-Level Residual Compression for Memory-Efficient Lifelong Editing of LLMs

arXiv cs.CL ↗ · 2026-10-09 Cached

论文提出 LadderEdit,通过将每个 LoRA 编辑适配器压缩为低秩草图,并在草图不满足重写、泛化和局部性要求时沿阶梯提升秩,实现 5.2 倍的存储节省,并在 50,000 次连续编辑上保持有效。

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#llm-editing

J-Wash: A novel way to brainwash and customize large language models based on Anthropic's Jacobian-Lens!

Reddit r/LocalLLaMA ↗ · 2026-07-13 Cached

J-Wash is a tool that uses Anthropic's Jacobian lens to let users edit the behavior and identity of large language models by modifying token directions, then export the edited model as a standalone checkpoint without training or fine-tuning.

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#llm-editing

Can Factual Opinions Be Edited (Manipulated) in Large Language Models?

arXiv cs.CL ↗ · 2026-06-03 Cached

This paper introduces the FactualOpinionEditing with Evidence (FOE) benchmark to assess the ability to edit factual opinions in LLMs, and proposes a Self-Generated Evidence-Aligned method to improve opinion-evidence alignment.

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#llm-editing

Headlines You Won't Forget: Can Pronoun Insertion Increase Memorability?

arXiv cs.CL ↗ · 2026-04-22 Cached

Experimental study shows inserting first/second-person pronouns into headlines has mixed effects on human memorability and that LLMs often produce inaccurate or unnatural revisions.

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