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New Preprint📣 "Beyond the Chat💬: Executable▶️ and Verifiable✅ Text-Editing with LLMs" Getting help from LLMs when editing a document can involve lots of manual copy-pasting.✂️📋 What if LLMs could instead suggest one-click edits directly in a text editor for your review? 1/N
11,825 views • 2 years ago •via X (Twitter)
8 Comments

To communicate desired edit locations 📍 to the LLM, the user can initiate *local comment conversations*. No need to say “cut some detail from paragraph 8.” 2/N

The Chat and Comments are reactive, and require user initiation. The user can also define *Markers* 🖍️, which run continuously in the background and suggest edits proactively ✨. Markers are similar to a customizable Grammarly. 3/N

LLMs make factual errors ❌. In InkSync, we introduce a Warn-Verify-Audit framework to mitigate inaccuracy risks. The user gets *warned*⚠️ when an edit introduces new information, and the system generates search queries 🔍 to help the user *verify* ✅ information accuracy. 4/N

Once editing is complete, an auditor 🕵️♂️ can review the document in an *Audit Interface* that tracks and surfaces all LLM-generated content. This facilitates manual verification of accuracy before the document is sent, published or finalized ✔️. 5/N

Check our paper ( for details, including two usability studies. InkSync is a collaboration of @PhilippeLaban, @jesse_vig, @MartiHearst, @CaimingXiong & @jasonwu0731 We plan to release a public demo of InkSync. Interested?📋👇

This is the biggest productivity cheat code right now. Kiss reading documents goodbye. You can get an instant summary of any document with this tool.

why @Grammarly hasn't implemented this? My guess: the inference cost is eating the profit

@Grammarly Good question. I think they have some limited LLM features in Grammarly GO, but yes the cost might be prohibitive at scale (advantage of being a researcher!). Btw, we recently released a public demo of InkSync: for anyone who's curious!
