# Perspectives on Large Language Models for Relevance Judgment

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/perspectives-on-large-language-models-for-relevance-judgment/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Guglielmo Faggioli,Laura Dietz,Charles L. A. Clarke,Gianluca Demartini,Matthias Hagen,Claudia Hauff,Noriko Kando,Evangelos Kanoulas,Martin Potthast,B. Stein,Henning Wachsmuth |
| Citations | 167 |
| DOI | 10.1145/3578337.3605136 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://dl.acm.org/doi/pdf/10.1145/3578337.3605136 |
| OpenAlex ID | https://openalex.org/W4385688511 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Gianluca Demartini](https://scholariq.org/researchers/gianluca-demartini/)

## Paper primary topic

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

## Paper topics

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Information Retrieval and Search Behavior](https://scholariq.org/topics/information-retrieval-and-search-behavior/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.