Editing as Language: Teaching LLM Agents a Grammar for Native Context Editing
In this paper, we propose the Native Context Editing (NCE) framework, which gives language model agents a grammar for natively editing their own context.
ProofPaper ↗
Key points
- A synopsis in novels folds a story into a few lines; a function in code gathers many steps with a single execution.
- Context editing is native to language itself.
- By encoding context-editing operations in a grammar of dedicated special tokens, we teach the agents to invoke edits through the language itself.
- Compared with context-editing methods that learn to generate tool-use code within specific external harness environments, our approach integrates context editing as an internal mechanism of the model's native generation process, enabling better generalization across diverse real-world workflows.
Sources (1)
- [1]Editing as Language: Teaching LLM Agents a Grammar for Native Context EditingarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 18, 09:48 PM
In this paper, we propose the Native Context Editing (NCE) framework, which gives language model agents a grammar for natively editing their own context.
A synopsis in novels folds a story into a few lines; a function in code gathers many steps with a single execution.
Extractive summary: sentences quoted from the sources.
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