dc.contributor.author | Buchmann, Jan | |
dc.contributor.author | Liu, Xiao | |
dc.contributor.author | Gurevych, Iryna | |
dc.date.accessioned | 2024-10-16T13:53:37Z | |
dc.date.available | 2024-06-27T10:44:05Z | |
dc.date.available | 2024-06-27T10:49:37Z | |
dc.date.available | 2024-10-16T13:53:37Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4276.4 | |
dc.description | This folder contains data to run experiments on LAB, the Long document Attribution Benchmark introduced in "Attribute or Abstain: Large Language Models as Long Document Assistants". All datasets were converted to the Intertext Graph format introduced by Kuznetsov et al. (2022). | de_DE |
dc.relation | IsSupplementTo;URL;https://github.com/UKPLab/arxiv2024-attribute-or-abstain | |
dc.rights | Creative Commons Attribution 4.0 | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | long document, intertext, attribution, qasper, natural questions, evidence inference, wice, contractnli, govreport | de_DE |
dc.subject.classification | 4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren | de_DE |
dc.subject.classification | 4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing | |
dc.subject.ddc | 004 | |
dc.title | Attribute or Abstain: Large Language Models as Long Document Assistants | de_DE |
dc.type | Text | de_DE |
tud.project | EC/HE | 101054961 | InterText | de_DE |
tud.unit | TUDa | |
tud.history.classification | Version=2016-2020;409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung | |