With a Little Push, NLI Models can Robustly and Efficiently Predict Faithfulness

26 May 2023

Papers citing "With a Little Push, NLI Models can Robustly and Efficiently Predict Faithfulness"

6 / 6 papers shown

Title
Natural Language Processing RELIES on Linguistics Juri Opitz Shira Wein Nathan Schneider AI4CE 44 7 0 09 May 2024
Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features Hannah Rashkin David Reitter Gaurav Singh Tomar Dipanjan Das 151 101 0 14 Jul 2021
Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark Nouha Dziri Hannah Rashkin Tal Linzen David Reitter ALM 185 79 0 30 Apr 2021
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 215 305 0 27 Apr 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,943 0 20 Apr 2018
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 170 3,508 0 10 Jun 2015