TREC 2025 Proceedings
RRF_all
Submission Details
- Organization
- cfdalab
- Track
- Retrieval-Augmented Generation
- Task
- Retrieval Only Task
- Date
- 2025-08-16
Run Description
- Is this a manual (human intervention) or automatic run?
- automatic
- Does this run leverage neural networks?
- yes
- Does this run leverage proprietary models in any step of the retrieval pipeline?
- no
- Does this run leverage open-weight LLMs (> 5B parameters) in any step of the retrieval pipeline?
- no
- Does this run leverage smaller open-weight language models in any step of the retrieval pipeline?
- yes
- Was this run padded with results from a baseline run?
- yes
- What would you categorize this run as?
- Multi-Stage Pipeline pointwise
- Please provide a short description of this run
- A hybrid retrieval pipeline combining BM25 with query expansion, dense embedding search, and neural rerankers (ColBERTv2, MiniLM). Results are fused via RRF, with the top-100 outputs submitted.
- Please give this run a priority for inclusion in manual assessments.
- 1 (top)
Evaluation Files