Attribute or Abstain: Large Language Models as Long Document Assistants
| datacite.relation.isSupplementTo | https://github.com/UKPLab/arxiv2024-attribute-or-abstain | |
| 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.created | 2024 | |
| dc.date.issued | 2024-10-16 | |
| 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.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4276.4 | |
| dc.rights.license | CC-BY-4.0 (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 | |
| dc.subject.classification | 4.43-05 | |
| dc.subject.ddc | 004 | |
| dc.title | Attribute or Abstain: Large Language Models as Long Document Assistants | de_DE |
| dc.type | Text | de_DE |
| dcterms.accessRights | openAccess | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| tuda.history.classification | Version=2016-2020;409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung | |
| tuda.project | EC/HE | 101054961 | InterText | |
| tuda.unit | TUDa |