March 13, 2024, 4:47 a.m. | Timothee Mickus, Elaine Zosa, Ra\'ul V\'azquez, Teemu Vahtola, J\"org Tiedemann, Vincent Segonne, Alessandro Raganato, Marianna Apidianaki

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.07726v1 Announce Type: new
Abstract: This paper presents the results of the SHROOM, a shared task focused on detecting hallucinations: outputs from natural language generation (NLG) systems that are fluent, yet inaccurate. Such cases of overgeneration put in jeopardy many NLG applications, where correctness is often mission-critical. The shared task was conducted with a newly constructed dataset of 4000 model outputs labeled by 5 annotators each, spanning 3 NLP tasks: machine translation, paraphrase generation and definition modeling.
The shared task …

abstract applications arxiv cases cs.cl hallucinations language language generation mistakes natural natural language natural language generation nlg observable paper results systems type

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