TREC 2025 Proceedings
LAS_con-que-sep-nug
Submission Details
- Organization
- ncsu-las
- Track
- Retrieval-Augmented Generation
- Task
- Retrieval Only Task
- Date
- 2025-08-17
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?
- yes
- 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?
- no
- What would you categorize this run as?
- Generation-in-the-loop Pipeline
- Please provide a short description of this run
- Use gpt-4o to rephrase the original narrative into a set of questions. Concatenate these questions into a big query. Search SPLADE-v3 segment index using the big query. Use castorini/nuggetizer to generate nuggets based on the top 20 results. Nugget creation prompt was modified to generate self-contained 10-20 words nuggets. Search each "vital" nuggets in SPLADE-v3 segment index. Merge result list using RRF, k = 10.
- Please give this run a priority for inclusion in manual assessments.
- 1 (top)
Evaluation Files
Paper