Private Meeting Summarization Without Performance Loss

25 May 2023

Papers citing "Private Meeting Summarization Without Performance Loss"

11 / 11 papers shown

Title
Differentially Private Fine-tuning of Language Models Da Yu Saurabh Naik A. Backurs Sivakanth Gopi Huseyin A. Inan ... Y. Lee Andre Manoel Lukas Wutschitz Sergey Yekhanin Huishuai Zhang 240 371 0 13 Oct 2021
An Efficient DP-SGD Mechanism for Large Scale NLP Models Christophe Dupuy Radhika Arava Rahul Gupta Anna Rumshisky SyDa 70 36 0 14 Jul 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 493 10,496 0 17 Jun 2021
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization Xiachong Feng Xiaocheng Feng Libo Qin Bing Qin Ting Liu VLM 55 92 0 26 May 2021
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization Ming Zhong Da Yin Tao Yu A. Zaidi Mutethia Mutuma ... Ahmed Hassan Awadallah Asli Celikyilmaz Yang Liu Xipeng Qiu Dragomir R. Radev RALM 87 338 0 13 Apr 2021
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures Anirudh Joshi Namit Katariya X. Amatriain Anitha Kannan MedIm 68 90 0 18 Sep 2020
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation Yizhe Zhang Siqi Sun Michel Galley Yen-Chun Chen Chris Brockett Xiang Gao Jianfeng Gao Jingjing Liu W. Dolan VLM 196 1,527 0 01 Nov 2019
BERTScore: Evaluating Text Generation with BERT Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger Yoav Artzi 357 5,868 0 21 Apr 2019
Renyi Differential Privacy Ilya Mironov 91 1,268 0 24 Feb 2017
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 2 0 01 Jul 2016
Differentially Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds Raef Bassily Adam D. Smith Abhradeep Thakurta FedML 150 371 0 27 May 2014