Long-context Retrieval on MLDR en
0.783nDCG@10MPE Fixed-64
Evaluation Results
| Method | Links | |
|---|---|---|
| MPE Fixed-64MLDR Train=true, Backbone=Qwen3-Embedding-0.6B, Inference chunk size=642026.06 | 0.783 | |
| MaxP-TrainMLDR Train=true, Backbone=Qwen3-Embedding-0.6B, Inference chunk size=642026.06 | 0.776 | |
| MPE-Rand[32, 1024]MLDR Train=true, Backbone=Qwen3-Embedding-0.6B, Inference chunk size=642026.06 | 0.76 | |
| MaxPMLDR Train=true, Backbone=Qwen3-Embedding-0.6B, Inference chunk size=642026.06 | 0.758 | |
| BM25MLDR Train=false2026.06 | 0.679 | |
| BGE-M3mvMLDR Train=true, Retrieval Style=ColBERT-style multi-vector2026.06 | 0.558 | |
| Single-vectorMLDR Train=true, Backbone=Qwen3-Embedding-0.6B2026.06 | 0.548 | |
| BGE-M3MLDR Train=true2026.06 | 0.489 | |
| E5-Mistral-7BMLDR Train=false2026.06 | 0.433 | |
| OpenAI-Ada-0022026.06 | 0.387 | |
| jina-v2-base-enMLDR Train=false2026.06 | 0.37 |