Generation Challenges: Results of the Accuracy Evaluation Shared Task

12 August 2021

Papers citing "Generation Challenges: Results of the Accuracy Evaluation Shared Task"

7 / 7 papers shown

Title
Probing Omissions and Distortions in Transformer-based RDF-to-Text Models J. Faille Albert Gatt Claire Gardent 34 0 0 25 Sep 2024
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics Tyler A. Chang Katrin Tomanek Jessica Hoffmann Nithum Thain Erin van Liemt Kathleen Meier-Hellstern Lucas Dixon 41 7 0 13 Mar 2024
A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models S. Hegselmann Zejiang Shen Florian Gierse Monica Agrawal David Sontag Xiaoyi Jiang HILM VLM 34 6 0 23 Feb 2024
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation Patrick Fernandes Aman Madaan Emmy Liu António Farinhas Pedro Henrique Martins ... José G. C. de Souza Shuyan Zhou Tongshuang Wu Graham Neubig André F. T. Martins ALM 117 56 0 01 May 2023
Recent Advances in Neural Text Generation: A Task-Agnostic Survey Chen Tang Frank Guerin Chenghua Lin AI4CE OOD 28 19 0 06 Mar 2022
Data-to-text Generation with Variational Sequential Planning Ratish Puduppully Yao Fu Mirella Lapata 61 21 0 28 Feb 2022
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text Sebastian Gehrmann Elizabeth Clark Thibault Sellam ELM AI4CE 69 184 0 14 Feb 2022