Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866917746155978752 |
|---|---|
| author | Rahmani, Hossein A. Siro, Clemencia Aliannejadi, Mohammad Craswell, Nick Clarke, Charles L. A. Faggioli, Guglielmo Mitra, Bhaskar Thomas, Paul Yilmaz, Emine |
| author_facet | Rahmani, Hossein A. Siro, Clemencia Aliannejadi, Mohammad Craswell, Nick Clarke, Charles L. A. Faggioli, Guglielmo Mitra, Bhaskar Thomas, Paul Yilmaz, Emine |
| contents | The first edition of the workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) took place in July 2024, co-located with the ACM SIGIR Conference 2024 in the USA (SIGIR 2024). The aim was to bring information retrieval researchers together around the topic of LLMs for evaluation in information retrieval that gathered attention with the advancement of large language models and generative AI. Given the novelty of the topic, the workshop was focused around multi-sided discussions, namely panels and poster sessions of the accepted proceedings papers. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_05388 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024 Rahmani, Hossein A. Siro, Clemencia Aliannejadi, Mohammad Craswell, Nick Clarke, Charles L. A. Faggioli, Guglielmo Mitra, Bhaskar Thomas, Paul Yilmaz, Emine Information Retrieval The first edition of the workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) took place in July 2024, co-located with the ACM SIGIR Conference 2024 in the USA (SIGIR 2024). The aim was to bring information retrieval researchers together around the topic of LLMs for evaluation in information retrieval that gathered attention with the advancement of large language models and generative AI. Given the novelty of the topic, the workshop was focused around multi-sided discussions, namely panels and poster sessions of the accepted proceedings papers. |
| title | Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024 |
| topic | Information Retrieval |
| url | https://arxiv.org/abs/2408.05388 |