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Team Galápagos Tortoise at LongEval 2024

This repository contains the submissions of Team Galápagos Tortoise in the LongEval shared task at CLEF 2024.

We submitted the following five runs:

  1. Run galapagos-tortoise-bm25-bo1-pl2-monot5-max A weighted linear combination of BM25 (with Bo1 query expansion; weight: 2) and PL2 (weight: 1), re-ranked with monoT5.5 After re-ranking, passages are aggregated by the max passage score aggregation. The run is accessible via this link.
  2. Run galapagos-tortoise-bm25-bo1-pl2-monot5-mean A weighted linear combination of BM25 (with Bo1 query expansion; weight: 2) and PL2 (weight: 1), re-ranked with monoT5.5 After re-ranking, passages are aggregated by the mean passage score aggregation. The run is accessible via this link.
  3. Run galapagos-tortoise-bm25-bo1-pl2-monot5-kmax-avg-k-4 A weighted linear combination of BM25 (with Bo1 query expansion; weight: 2) and PL2 (weight: 1), re-ranked with monoT5.5 After re-ranking, passages are aggregated by the 𝑘-max average passage score aggregation with 𝑘 = 4, which yielded the highest nDCG on the LongEval June 2022 dataset. The run is accessible via this link.
  4. Run galapagos-tortoise-wsum A rank fusion (weighted sum, optimized on the January 2023 dataset) of BM25 (weight: 0.1), the sparse cross-encoder (weight: 0.1), ColBERT (weight: 0.1), and RankZephyr (weight: 0.7) re-ranking after retrieving the top-1000 documents with BM25. The models themselves were not fine-tuned. The run is accessible via this link.
  5. Run galapagos-tortoise-rank-zephyr Re-ranking BM25’s top-1000 documents with RankZephyr. The run is accessible via this link.

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The repository of user galapagos-tortoise for code submissions in TIRA.

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