Training Curricula for Open Domain Answer Re-Ranking

Author:

MacAvaney Sean1,Nardini Franco Maria2,Perego Raffaele2,Tonellotto Nicola3,Goharian Nazli1,Frieder Ophir1

Affiliation:

1. Georgetown University, Washington, DC, USA

2. ISTI-CNR, Pisa, Italy

3. University of Pisa, Pisa, Italy

Funder

EU Horizon 2020 research and innovation programme

Italian Ministry of Education and Research (MIUR)

Publisher

ACM

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Scalable and Effective Generative Information Retrieval;Proceedings of the ACM Web Conference 2024;2024-05-13

2. Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges;ACM Computing Surveys;2024-04-09

3. Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems;ACM Transactions on Recommender Systems;2024-02-23

4. Semantic Correlation Model of Socio-Formative Data for Curricular Planning Evaluation;European Journal of Educational Research;2024-01-15

5. Learnable Pillar-based Re-ranking for Image-Text Retrieval;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

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