Efficient Performance Tracking: Leveraging Large Language Models for
Automated Construction of Scientific Leaderboards

Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards

19 September 2024

Furkan Şahinuç

Yufang Hou

Iryna Gurevych

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Papers citing "Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards"

8 / 8 papers shown

Title
A Position Paper on the Automatic Generation of Machine Learning Leaderboards Roelien C Timmer Yufang Hou Stephen Wan 221 0 0 23 May 2025
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering Zhiyong Wu Yaoxiang Wang Jiacheng Ye Lingpeng Kong 88 138 0 20 Dec 2022
Automated Mining of Leaderboards for Empirical AI Research Salomon Kabongo KABENAMUALU Jennifer D'Souza Sören Auer 99 31 0 31 Aug 2021
End-to-End NLP Knowledge Graph Construction Ishani Mondal Yufang Hou Charles Jochim 36 33 0 02 Jun 2021
AxCell: Automatic Extraction of Results from Machine Learning Papers Marcin Kardas Piotr Czapla Pontus Stenetorp Sebastian Ruder Sebastian Riedel Ross Taylor Robert Stojnic 45 76 0 29 Apr 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,301 0 27 Aug 2019
Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction Yufang Hou Charles Jochim Martin Gleize Francesca Bonin Debasis Ganguly 66 94 0 21 Jun 2019
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction Yi Luan Luheng He Mari Ostendorf Hannaneh Hajishirzi 116 684 0 29 Aug 2018