qwen_splade — Retrieval Only Task

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: Hybrid retrieval pipeline leveraging HyDE (Hypothetical Document Embeddings) with Qwen3-Embedding-0.6B for dense retrieval (query:HyDE 0.3:0.7 weighted combination) and SPLADE sparse retrieval. Results are fused using Reciprocal Rank Fusion (RRF, k=60) to combine complementary signals from dense and sparse methods. Final ranking performed by GPT-4.1-mini with sliding window reranking (window=10, stride=5, 3 passes) incorporating document title, URL, and segment content for enhanced contextual understanding.
Please give this run a priority for inclusion in manual assessments.: 3