Hinweis
Dies ist nicht die aktuellste Version dieses Datensatzes. Die aktuellste Version finden Sie unter: https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4276.4
Attribute or Abstain: Large Language Models as Long Document Assistants
| dc.contributor.author | Buchmann, Jan | |
| dc.contributor.author | Liu, Xiao | |
| dc.contributor.author | Gurevych, Iryna | |
| dc.date.accessioned | 2024-06-27T10:49:37Z | |
| dc.date.available | 2024-06-27T10:44:05Z | |
| dc.date.available | 2024-06-27T10:49:37Z | |
| dc.date.issued | 2024 | |
| dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4276.2 | |
| 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 | 409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung | de_DE |
| 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 |
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