ReNeuIR'24
Workshop on Reaching Efficiency in Neural Information Retrieval
Program
ReNeuIR is colocated with SIGIR 2024 in Washington D.C., USA and takes place on July 18, 2024. All times in the table below are according to the local time zone.
| Time | Agenda |
|---|---|
| 09:00 - 09:15 | Opening and Welcome |
| 09:15 - 10:15 | Keynote by Zhuyun Dai (45 minutes + 15 minutes for QA) |
| 10:15 - 10:30 | Overview of the Shared Task Initiative |
| 10:30 - 11:00 | Coffee Break |
| 11:00 - 12:30 | Joint Poster Session |
| 12:30 - 13:30 | Lunch Break |
| 13:30 - 14:30 | Keynote by Qi Chen (45 minutes + 15 minutes for QA) |
| 14:30 - 15:00 | Paper Presentations |
| 15:00 - 15:30 | Coffee Break |
| 15:30 - 16:00 | Paper Presentations |
| 16:00 - 17:30 | Invited Talks + Shared Task Initiative |
Detailed Schedule for the Paper Presentations (14:30 - 15:00)
Each paper is given 15 minutes for presentation including Q&A.
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“Deep Domain Specialisation for single-model multi-domain learning to rank” Paul Missault and Abdelmaseeh Felfel.
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“Top-Down Partitioning for Efficient List-Wise Ranking” Andrew Parry, Sean MacAvaney, and Debasis Ganguly.
Detailed Schedule for the Paper Presentations (15:30 - 16:00)
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“Efficient course recommendations with T5-based ranking and summarization” Thijmen Bijl, Niels van Weeren, and Suzan Verberne.
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“DeeperImpact: Optimizing Sparse Learned Index Structures” Soyuj Basnet, Jerry Gou, Antonio Mallia, and Torsten Suel.
Detailed Schedule for the Invited Presentations (16:00 - 17:30)
Each paper is given 15 minutes for presentation including Q&A.
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“A Reproducibility Study of PLAID” Sean MacAvaney, Nicola Tonellotto.
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“Contrasting Pointwise with Listwise Re-Rankers” Ferdinand Schlatt, Harrisen Scells.
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“Fine-Tuning LLaMA for Multi-Stage Text Retrieval” Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, and Jimmy Lin.
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“Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models” Shengyao Zhuang, Honglei Zhuang, Bevan Koopman, and Guido Zuccon.
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“PLAID SHIRTTT for Large-Scale Streaming Dense Retrieval” Dawn Lawrie, Efsun Kayi, Eugene Yang, James Mayfield, Douglas W. Oard.
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“Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations” Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, and Rossano Venturini.