List your company

Cross-lingual Question Answering on MLQA v1.0 (test)

75.1F1 (es)INFOXLM
-2.69217.50437.757.896Jul 15, 2020Jun 12, 2021May 11, 2022Apr 9, 2023Mar 6, 2024Feb 2, 2025Jan 1, 2026

Evaluation results

MethodLinks
INFOXLMsize=large2020.0775.184.571.657.371.256.267.647.672.554.275.254.169.245.473.655.2
XLM-RScale=large2021.1074.783.9——69.9—64.9—69.9—73.3—70.3—72.4—
mLUKE-EScale=large, Input Features=words+entities2021.1074.584.1——70.5—66.2—71.4—74.3—70.5—73.1—
XLM-Rsize=large, reimpl=true2020.0774.48471.156.470.25566.546.371.153.274.453.568.644.672.754.3
mLUKE-WScale=large, Input Features=words2021.1074.384——70.3—66.2—70.2—74.2—69.7—72.7—
XLM-Rsize=large2020.0774.180.667.85668.553.663.143.569.251.671.350.96845.470.752.7
XLM-RFine-tuned on=English SQuAD, Evaluation=Zero-shot2026.0174.180.667.85668.553.663.143.569.251.671.350.96845.470.752.7
mLUKE-EScale=base, Input Features=words+entities2021.107080.8——65.5—60.8—63.7—68.4—66.2—67.9—
INFOXLMsize=base2020.0769.881.668.351.664.349.460.640.965.247.170.24964.841.368.149.6
XLM-RScale=base, Extra Training=true2021.1069.881.3——65—54.8—59.3—65.6—64.2—65.7—
mLUKE-WScale=base, Input Features=words2021.1069.781.3——65.4—60.4—63.2—68.3—66.1—67.8—
INFOXLMsize=base, cross-lingual contrast=false2020.0769.681.268.151.96449.359.740.26446.369.34864.140.667.449.2
XLM-KScale=base2021.1069.280.8——63.8—60—65.3—70.1—63.8—67.7—
UNICODER2020.0768.680.6——62.7—57.8—62.7—67.5—62.1—66—
XLMsource=Lewis et al., 20202020.076874.962.449.862.247.654.836.348.827.362.741.861.139.661.643.5
XLM-15Fine-tuned on=English SQuAD, Evaluation=Zero-shot2026.016874.962.449.862.247.654.836.348.827.361.441.861.139.661.643.5
BEPA Monolingual (Ours)Fine-tuned on=English SQuAD, Evaluation=Zero-shot2026.0167.8816846.162.446.455.536.6644668.647.641.340.662.947.3
BEPA Bilingual (Ours)Fine-tuned on=English SQuAD, Evaluation=Zero-shot2026.0167.881.268.246.463.347.255.93763.245.468.547.842.341.663.247.7
XLM-Rsize=base, reimpl=true2020.0767.780.26749.962.147.756.137.261.1446746.361.438.565.147.2
XLM-RScale=base2021.1067.779.7——62.2—55.8—59.9—65.3—62.5—64.7—
XLM-Rsize=base2020.0767.477.164.649.660.946.754.936.659.442.964.544.761.839.363.746.3
XLM-R BaseFine-tuned on=English SQuAD, Evaluation=Zero-shot2026.0167.477.164.649.660.946.754.936.659.442.964.544.761.839.363.746.3
XLM-RoBERTa (Ours)Fine-tuned on=English SQuAD, Evaluation=Zero-shot2026.0166.880.968.245.862.446.85535.961.74467.44740.339.662.146.8
mBERTScale=base2021.1065.979.1——58.6—48.6—44.8—58.5—58.1—59.1—
mBERTsource=Lewis et al., 20202020.0764.377.765.246.657.944.345.729.843.829.757.138.657.537.357.741.6
mBERTFine-tuned on=English SQuAD, Evaluation=Zero-shot2026.0164.377.765.246.657.944.345.729.843.829.757.138.657.537.357.741.6
GPT-3 (All En)Evaluation Protocol=Contexts and questions in English, Parameters=175B2023.0224.7———27.2—24—26.1—24.9—23.6———
GPT-J (All En)Evaluation Protocol=Contexts and questions in English2023.0224.3———27—23.6—23.9—23.3—23.1———
ToolformerTool usage=enabled2023.0220.6———13.5—3.7—1.4—10.6—16.8———
Toolformer (disabled)Tool usage=disabled2023.0219.8———11.9—3.1—1.2—10.1—15———
GPT-J + CCPre-training=CCNet2023.0215.7———14.9—4.6—0.5—8.3—13.7———
GPT-J2023.0215.2———16.5—8.2—1.3—8.2—18.2———
GPT-3Parameters=175B2023.023.4———1.1—0.1—0.1—1.7—17.7———
OPTParameters=66B2023.020.3———0.1—0.1—1.1—0.2—0.7———
BERT-LargeFine-tuned on=English SQuAD, Evaluation=Zero-shot2026.01—80.267.4—————————————