1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CR2026
Flip, Don't Shuffle: Watermarking LLMs at the Speed of Inference
Simone Ceppi, Ignacio Sanchez
We introduce Stateless Bernoulli Watermarking (SBW), a new statistical watermark for Large Language Models that determines green list membership through independent per-token Berno…
cs.CL2023★ 1 cited
The potential of large language models for improving probability learning: A study on ChatGPT3.5 and first-year computer engineering students
Angel Udias, Antonio Alonso-Ayuso, Ignacio Sanchez +4
In this paper, we assess the efficacy of ChatGPT (version Feb 2023), a large-scale language model, in solving probability problems typically presented in introductory computer engi…