Search Results for author:
Found 2 papers, 2 papers with code
Edisum: Summarizing and Explaining Wikipedia Edits at Scale
To overcome this problem and help editors write useful edit summaries, we propose a model for recommending edit summaries generated by a language model trained to produce good edit summaries given the representation of an edit diff.
Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling
For a wide variety of tasks, inputs can be phrased as natural language prompts for an LM, from whose output the solution can then be extracted.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
