Towards Improving Faithfulness in Abstractive Summarization

4 October 2022

Papers citing "Towards Improving Faithfulness in Abstractive Summarization"

8 / 8 papers shown

Title
Semantic Volume: Quantifying and Detecting both External and Internal Uncertainty in LLMs Xiaomin Li Zhou Yu Ziji Zhang Yingying Zhuang S. Narayanan Sadagopan Anurag Beniwal HILM 58 0 0 28 Feb 2025
SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation Song Duong Florian Le Bronnec Alexandre Allauzen Vincent Guigue Alberto Lumbreras Laure Soulier Patrick Gallinari HILM 43 0 0 20 Feb 2025
Smoothing Out Hallucinations: Mitigating LLM Hallucination with Smoothed Knowledge Distillation Hieu Nguyen Zihao He Shoumik Atul Gandre Ujjwal Pasupulety Sharanya Kumari Shivakumar Kristina Lerman HILM 54 1 0 16 Feb 2025
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis Jipeng Han 34 0 0 02 Oct 2024
We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs Joseph Spracklen Raveen Wijewickrama A. H. M. N. Sakib Anindya Maiti Murtuza Jadliwala Murtuza Jadliwala 40 10 0 12 Jun 2024
A Survey on Medical Document Summarization Raghav Jain Anubhav Jangra S. Saha Adam Jatowt 3DGS MedIm 34 19 0 03 Dec 2022
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 254 1,431 0 22 Aug 2019
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 170 3,509 0 10 Jun 2015