Towards Better Statistical Understanding of Watermarking LLMs

Towards Better Statistical Understanding of Watermarking LLMs

19 March 2024

Xiaocheng Li

Papers citing "Towards Better Statistical Understanding of Watermarking LLMs"

9 / 9 papers shown

Title
Can AI-Generated Text be Reliably Detected? Vinu Sankar Sadasivan Aounon Kumar S. Balasubramanian Wenxiao Wang Soheil Feizi DeLMO 200 385 0 20 Jan 2025
Robust Distortion-free Watermarks for Language Models Rohith Kuditipudi John Thickstun Tatsunori Hashimoto Percy Liang WaLM 67 177 0 28 Jul 2023
On the Possibilities of AI-Generated Text Detection Souradip Chakraborty Amrit Singh Bedi Sicheng Zhu Bang An Dinesh Manocha Furong Huang DeLMO 43 126 0 10 Apr 2023
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature E. Mitchell Yoonho Lee Alexander Khazatsky Christopher D. Manning Chelsea Finn 76 614 0 26 Jan 2023
Automatic Detection of Generated Text is Easiest when Humans are Fooled Daphne Ippolito Daniel Duckworth Chris Callison-Burch Douglas Eck DeLMO 71 355 0 02 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 379 20,053 0 23 Oct 2019
Release Strategies and the Social Impacts of Language Models Irene Solaiman Miles Brundage Jack Clark Amanda Askell Ariel Herbert-Voss ... Miles McCain Alex Newhouse Jason Blazakis Kris McGuffie Jasmine Wang 80 626 0 24 Aug 2019
ELI5: Long Form Question Answering Angela Fan Yacine Jernite Ethan Perez David Grangier Jason Weston Michael Auli AI4MH ELM 82 616 0 22 Jul 2019
Defending Against Neural Fake News Rowan Zellers Ari Holtzman Hannah Rashkin Yonatan Bisk Ali Farhadi Franziska Roesner Yejin Choi AAML 116 1,025 0 29 May 2019