List your company

Multi-lingual retrieval on MIRACL (dev)

72.3Avg ScoreMILCO (SAP, SCTKD, LexEcho)
0.498419.139237.7856.4208Feb 5, 2024Jun 18, 2024Oct 31, 2024Mar 15, 2025Jul 27, 2025Dec 9, 2025Apr 23, 2026

Evaluation results

MethodLinks
MILCO (SAP, SCTKD, LexEcho)Size=560M2025.1072.380.482.660.460.962.381.261.764.460.977.272.174.680.387.984.265.561.483.6——
SPLARE-7BTop-K=(40, 400)2026.0271.779.779.960.958.562.181.460.565.557.675.969.574.181.883.283.164.162.590——
M3-Embeddingmode=All, w1=1, w2=0.3, w3=12024.0271.580.281.559.659.763.480.461.263.35975.272.171.779.688.183.764.959.883.5——
M3-Emb (All)2026.0271.580.281.559.659.763.480.461.263.35975.272.171.779.688.183.764.959.883.5——
M3-Dense+Sparse+MultivectorSize=560M2025.1071.580.281.559.659.763.480.461.263.35975.272.171.779.688.183.764.959.883.5——
MILCO-dense (distill)Size=560M2025.1070.979.580.256.860.463.478.562.662.258.474.770.572.179.68782.964.259.583.2——
M3-Embeddingmode=Multi-vec, rerank_top_k=2002024.0270.579.68159.357.86280.159.461.558.374.571.271.279.187.98363.75882.4——
M3-Multi-vecSize=560M2025.1070.579.68159.357.86280.159.461.558.374.571.271.279.187.98363.75882.4——
M3-Embeddingmode=Dense+Sparse, w1=1, w2=0.3, w3=02024.0270.479.680.758.858.162.379.75862.958.373.971.269.878.587.283.163.557.783.3——
M3-Dense+SparseSize=560M2025.1070.479.680.758.858.162.379.75862.958.373.971.269.878.587.283.163.557.783.3——
Gemini Embedding2026.0270.178.37958.75760.97855.665.454.375.168.973.48180.580.865.759.888.8——
MILCO (SAP, SCT, LexEcho)Size=560M2025.1070.179.480.857.657.260.680.157.763.358.475.27172.677.287.282.760.859.381.6——
MILCOMetric Type=Effectiveness, Backbone=larger backbone2026.0470.180.4——60.9——61.7——77.2—74.6———65.5————
SPLADE-LlamaTop-K=(40, 400)2026.0269.97877.558.85659.879.958.561.757.175.366.172.880.182.48161.858.292.5——
Qwen3-Embed - 8BSize=7.57B2025.1069.878.278.359.859.660.5796163.156.174.367.573.572.284.381.563.360.584.5——
MILCO (SAP, SCTKD, MLMen)Size=560M2025.1069.477.379.557.659.758.578.860.663.457.772.867.772.678.182.380.460.659.781.2——
M3-Embeddingmode=Dense2024.0269.278.48056.956.160.978.658.359.556.172.869.970.178.786.282.662.756.781.8——
M3-DenseSize=560M2025.1069.278.48056.956.160.978.658.359.556.172.869.970.178.786.282.662.756.781.8——
MILCO-dense (align + distill)Size=560M2025.1067.97776.655.357.560.277.15960.555.570.570.967.574.486.180.662.557.672.8——
mE5large2024.0266.67675.952.952.95977.854.56252.970.666.567.474.984.680.25656.478.3——
mE5large2026.0266.67675.952.952.95977.854.56252.970.666.567.474.984.680.25656.478.3——
mE5largeSize=560M2025.1066.67675.952.952.95977.854.56252.970.666.567.474.984.680.25656.478.3——
SPLARE-2BTop-K=(40, 400)2026.026575.467.453.35554.875.55659.154.967.967.465.369.777.876.75956.178——
mSPLADEsTok*Size=-2025.1063.9————————————————————
E5mistral-7b2024.0263.473.370.357.352.252.174.755.252.152.766.861.867.768.473.9745454.179.7——
E5mistral-7b2026.0263.473.370.357.352.252.174.755.252.152.766.861.867.768.473.9745454.179.7——
E5mistral-7bSize=7.11B2025.1063.473.370.357.352.252.174.755.252.152.766.861.867.768.473.9745454.179.7——
Qwen3-Embed - 0.6BSize=596M2025.1060.569.966.351.554.252.769.754.451.351.463.360.159.748.677.273.858.352.974——
MILCO (SCTKD, MLMen)Size=560M2025.1059.272.772.347.747.650.972.548.850.451.86462.753.662.377.772.846.244.866.2——
PLAID-X (Multivector)Size=560M2025.1055.5666846.451.448.352.561.942.856.844.661.263.461.232.975.67244.549.1——
OpenAI-3full_name=Text-Embedding-3-Large2024.0254.9————————————————————
T-Splade*Size=3.4B2025.1054.5————————————————————
MILCO (SAP, MLMen)Size=560M2025.1054.559.859.7575644.96648.258.648.854.959.451.247.85555.946.748.562.2——
M3-Embeddingmode=Sparse2024.0253.967.168.943.838.645.165.435.348.248.956.161.544.557.979.170.936.132.570——
M3-Emb (Sparse)2026.0253.967.168.943.838.645.165.435.348.248.956.161.544.557.979.170.936.132.570——
M3-SparseSize=560M2025.1053.967.168.943.838.645.165.435.348.248.956.161.544.557.979.170.936.132.570——
noMILCO (SCTKD, MLMm)Size=560M2025.1050.765.86239.739.4426738.536.944.956.152.947.358.6716741.834.646.9——
SAE-SPLADEk=8, Backbone=multilingual DistilBERT, Metric Type=Effectiveness2026.0447.558.6——44.4——38.4——50.8—47.4———45.9————
SPLADEk=8, Backbone=multilingual DistilBERT, Metric Type=Effectiveness2026.0447.259.3——45——38.2——49.3—47.3———43.7————
M3-SparseMetric Type=Effectiveness2026.0446.367.1——38.6——35.3——56.1—44.5———36.1————
mContriever2024.0243.152.550.136.441.821.560.231.428.639.242.448.339.15652.851.74140.841.5——
mContriever2026.0243.152.550.136.441.821.560.231.428.639.242.448.339.15652.851.74140.841.5——
mDPR2024.0241.849.944.339.447.84847.243.538.327.243.941.940.729.935.635.851.24939.6——
mDPR2026.0241.849.944.339.447.84847.243.538.327.243.941.940.729.935.635.851.24939.6——
mContrieverMetric Type=Effectiveness2026.0441.452.5——41.8——31.4——42.4—39.1———41————
BM25tokenizer=XLM-Roberta2024.0231.939.548.226.77.728.745.811.53529.731.237.125.635.138.349.117.51256.1——
BM252026.0231.939.548.226.77.728.745.811.53529.731.237.125.635.138.349.117.51256.1——
BM25Size=22025.1031.939.548.226.77.728.745.811.53529.731.237.125.635.138.349.117.51256.1——
BM25Metric Type=Effectiveness2026.0422.239.5——7.7——11.5——31.2—25.6———17.5————
SPLADEk=8, Backbone=multilingual DistilBERT, Metric Type=Efficiency2026.044.555.61——3.35——2.83——5.75—6.02———3.74————
SAE-SPLADEk=8, Backbone=multilingual DistilBERT, Metric Type=Efficiency2026.043.264.21——2.16——1.97——4.34—4.56———2.29————
CLS2026.01———————————————————57.6—
Latent2026.01———————————————————56.6—
LMKFT. Gran.=128, EVAL. Gran.=1282026.01———————————————————58—
LMKFT. Gran.=Variable, EVAL. Gran.=322026.01———————————————————57.8—
LMKFT. Gran.=Variable, EVAL. Gran.=642026.01———————————————————57.9—
LMKFT. Gran.=Variable, EVAL. Gran.=1282026.01———————————————————57.9—
LMKFT. Gran.=Variable, EVAL. Gran.=2562026.01———————————————————57.7—
Mean2026.01———————————————————56.1—
OpenSearch3Size=167M2025.10—746757.554.251.476.755.848.658.266.960.765.876.874—56.2————