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# Program

ReNeuIR is colocated with [SIGIR 2024 in Washington D.C., USA](https://sigir-2024.github.io/) and takes place on July 18, 2024.
All times in the table below are according to the local time zone.
ReNeuIR is colocated with [SIGIR 2024 in Washington D.C., USA](https://sigir-2024.github.io/) and takes place on July 18, 2024. All times in the table below are according to the local time zone.

The detailed program will be anounced soon.
| Time | Agenda |
|---------------|---------------------------------------------------------------------------|
| 09:00 - 09:15 | Opening and Welcome |
| 09:15 - 10:15 | Keynote by [Zhuyun Dai](invited_speakers) (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](invited_speakers) (45 minutes + 15 minutes for QA) |
| 14:30 - 15:30 | Paper Presentations |
| 15:30 - 16:00 | Coffee Break |
| 16:00 - 17:30 | Invited Talks + Shared Task Initiative |


## Detailed Schedule for the Paper Presentations (14:30 - 15:30)

Each paper is given 15 minutes for presentation including Q&A.

- "Deep Domain Specialisation for single-model multi-domain learning to rank"
Paul Missault and Abdelmaseeh Felfel.

- "Top-Down Partitioning for Efficient List-Wise Ranking"
Andrew Parry, Sean MacAvaney, and Debasis Ganguly.

- "Efficient course recommendations with T5-based ranking and summarization"
Thijmen Bijl, Niels van Weeren, and Suzan Verberne.

- "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)

The paper is given 15 minutes for presentation including Q&A.

- "Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models"
Shengyao Zhuang, Honglei Zhuang, Bevan Koopman, and Guido Zuccon.

- "Contrasting Pointwise with Listwise Re-Rankers"
Ferdinand Schlatt, Harrisen Scells.

- "Fine-Tuning LLaMA for Multi-Stage Text Retrieval"
Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, and Jimmy Lin.

- "PLAID SHIRTTT for Large-Scale Streaming Dense Retrieval"
Dawn Lawrie, Efsun Kayi, Eugene Yang, James Mayfield, Douglas W. Oard.

- "Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations"
Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, and Rossano Venturini.

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