Sign inGet started
Paper · arXiv

KnowledgeDebugger -- an Exploration Tool for Knowledge Localization and Editing in Transformers

Recent research has increasingly focused on understanding how Transformers store and process knowledge, as well as how this knowledge can be edited. Research work in this area is often conducted in two phases: first, phenomena are explored on individual samples. Then, when results appear promising, more statistically robust experiments follow. To support the first phase, we propose KnowledgeDebugger, a GUI-based exploration tool for knowledge localization and editing in Transformers. Our tool - inspired by LM-Debugger - offers no-code access to the methods in EasyEdit, a widely used library of state-of-the-art Knowledge Editing approaches. We demonstrate the tool's effectiveness through c...

AuthorsEric Benz, Lennart Stöpler, Nikolai Bolik et al.
Primary categorycs.CL
Published1 July 2026
Last updated at source1 July 2026
cs.CL
Embed this entry
<iframe src="https://silytics.si/embed/item/d0d3143e-bb74-4de1-aa35-c13b08f55eb0" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.