Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization

15 November 2023

Papers citing "Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization"

8 / 8 papers shown

Title
Self-calibration for Language Model Quantization and Pruning Miles Williams G. Chrysostomou Nikolaos Aletras MQ 72 0 0 22 Oct 2024
Pruning for Protection: Increasing Jailbreak Resistance in Aligned LLMs Without Fine-Tuning Adib Hasan Ileana Rugina Alex Wang AAML 47 22 0 19 Jan 2024
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation Chen Dun Mirian Hipolito Garcia Guoqing Zheng Ahmed Hassan Awadallah Anastasios Kyrillidis Robert Sim 74 6 0 04 Oct 2023
Conditional Generation with a Question-Answering Blueprint Shashi Narayan Joshua Maynez Reinald Kim Amplayo Kuzman Ganchev Annie Louis Fantine Huot Anders Sandholm Dipanjan Das Mirella Lapata 52 47 0 01 Jul 2022
Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar Nora Kassner Shauli Ravfogel Abhilasha Ravichander Eduard H. Hovy Hinrich Schütze Yoav Goldberg HILM 258 343 0 01 Feb 2021
Factual Error Correction for Abstractive Summarization Models Mengyao Cao Yue Dong Jiapeng Wu Jackie C.K. Cheung HILM KELM 167 159 0 17 Oct 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 178 1,027 0 06 Mar 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 406 2,576 0 03 Sep 2019