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Named Entity Recognition on CoNLL 03

78.1F1 Score

JPT-4B

Updated 1mo ago

Evaluation Results

Method
JPT-4B 2026.04	78.1	-	-	-	-	-	-
UniNER-7B 2026.04	72.2	-	-	-	-	-	-
GLiNER-L 2026.04	64.6	-	-	-	-	-	-
CL-KL 2021.05	0.9356	-	-	-	-	-	-
Cloze-CNN 2021.01	0.935	-	-	-	-	-	-
Baevski et al. 2021.05	0.935	-	-	-	-	-	-
Yu et al., 2020b 2022.05	0.935	-	-	-	-	-	-
CL-L2 2021.05	0.9347	-	-	-	-	-	-
Wang et al. 2021.05	0.9343	-	-	-	-	-	-
Li et al. 2021.05	0.9333	-	-	-	-	-	-
BERT-MRC+DSC 2021.01	0.933	-	-	-	-	-	-
W/ CONTEXT (Baseline) 2021.05	0.9327	-	-	-	-	-	-
Wang et al. (2021a) 2022.03	0.9321	-	-	-	-	-	-
CL-KL 2021.05	0.9321	-	-	-	-	-	-
LS-unLLaMA-2-7B 2023.10	0.9319	-	-	-	-	-	-
DEEPSTRUCT 2022.05	0.931	-	-	-	-	-	-
CL-L2 2021.05	0.9308	-	-	-	-	-	-
W/O CONTEXT (Baseline) 2021.05	0.9303	-	-	-	-	-	-
BERT-MRC 2021.01	0.93	-	-	-	-	-	-
DEEPSTRUCT 2022.05	0.93	-	-	-	-	-	-
UIE 2022.03	0.9299	-	-	-	-	-	-
InstructUIE 2023.10	0.9294	-	-	-	-	-	-
BERT-Large 2023.10	0.928	-	-	-	-	-	-
RAN 2023.10	0.9268	-	-	-	-	-	-
RoBERTa-Large 2023.10	0.9259	-	-	-	-	-	-
LUKE 2021.05	0.9242	-	-	-	-	-	-
BERT-Base 2023.10	0.924	-	-	-	-	-	-
SEL 2022.03	0.9217	-	-	-	-	-	-
RoBERTa-Base 2023.10	0.9213	-	-	-	-	-	-
TANL 2021.01	0.92	-	-	-	-	-	-
TANL 2021.01	0.917	-	-	-	-	-	-
TANL 2021.01	0.917	-	-	-	-	-	-
TANL 2022.05	0.917	-	-	-	-	-	-
LS-unLLaMA-2-13B 2023.10	0.9146	-	-	-	-	-	-
Regularized BN 2022.10	0.914	-	-	-	-	-	-
LayerNorm 2022.10	0.913	-	-	-	-	-	-
LayerNorm 2022.10	0.91	-	-	-	-	-	-
BatchNorm 2022.10	0.909	-	-	-	-	-	-
GSL 2021.01	0.907	-	-	-	-	-	-
Regularized BN 2022.10	0.906	-	-	-	-	-	-
BatchNorm 2022.10	0.899	-	-	-	-	-	-
UIE-base w/o SSI 2022.03	0.8984	-	-	-	-	-	-
UIE-base 2022.03	0.8963	-	-	-	-	-	-
Fine-tuned T5-base 2022.03	0.8891	-	-	-	-	-	-
UIE-base w/o SSI 2022.03	0.8841	-	-	-	-	-	-
UIE-base 2022.03	0.8834	-	-	-	-	-	-
T5-v1.1-base 2022.03	0.877	-	-	-	-	-	-
Fine-tuned T5-base 2022.03	0.8767	-	-	-	-	-	-
UIE-base 2022.03	0.8694	-	-	-	-	-	-
UIE-base w/o SSI 2022.03	0.8672	-	-	-	-	-	-
T5-v1.1-base 2022.03	0.8571	-	-	-	-	-	-
Fine-tuned T5-base 2022.03	0.8503	-	-	-	-	-	-
T5-v1.1-base 2022.03	0.8305	-	-	-	-	-	-
UIE-base 2022.03	0.8284	-	-	-	-	-	-
UIE-base w/o SSI 2022.03	0.8191	-	-	-	-	-	-
Rainbow Cuckoo 2025.02	0.7994	-	-	-	-	-	-
Fine-tuned T5-base 2022.03	0.7851	-	-	-	-	-	-
T5-v1.1-base 2022.03	0.7574	-	-	-	-	-	-
LS-LLaMA-2-7B 2023.10	0.7476	-	-	-	-	-	-
NuNER+ 2025.02	0.7415	-	-	-	-	-	-
LS-LLaMA-2-13B 2023.10	0.7412	-	-	-	-	-	-
UIE-base 2022.03	0.739	-	-	-	-	-	-
Cuckoo 2025.02	0.736	-	-	-	-	-	-
BCL 2026.06	0.7283	-	-	-	-	-	-
Cuckoo (Only Post-train) 2025.02	0.728	-	-	-	-	-	-
UIE-base w/o SSI 2022.03	0.7247	-	-	-	-	-	-
Cuckoo (Only Pre-train) 2025.02	0.7246	-	-	-	-	-	-
MRQA 2025.02	0.7245	-	-	-	-	-	-
MetaIE+ 2025.02	0.7133	-	-	-	-	-	-
BCL 2026.06	0.6914	-	-	-	-	-	-
ChatGPT 2023.10	0.672	-	-	-	-	-	-
UIE-base 2022.03	0.6709	-	-	-	-	-	-
MultiNERD+ 2025.02	0.6678	-	-	-	-	-	-
One-shot 2026.06	0.6578	-	-	-	-	-	-
BCL 2026.06	0.6554	-	-	-	-	-	-
Fine-tuned T5-base 2022.03	0.6531	-	-	-	-	-	-
BCL 2026.06	0.6512	-	-	-	-	-	-
GuideNER 2026.06	0.651	-	-	-	-	-	-
UIE-base w/o SSI 2022.03	0.6476	-	-	-	-	-	-
GuideNER 2026.06	0.6476	-	-	-	-	-	-
GuideNER 2026.06	0.6332	-	-	-	-	-	-
One-shot 2026.06	0.6282	-	-	-	-	-	-
UIE-base 2022.03	0.6247	-	-	-	-	-	-
GuideNER 2026.06	0.6138	-	-	-	-	-	-
ChatIE 2026.06	0.6085	-	-	-	-	-	-
One-shot 2026.06	0.6055	-	-	-	-	-	-
UIE-base w/o SSI 2022.03	0.6025	-	-	-	-	-	-
One-shot 2026.06	0.6025	-	-	-	-	-	-
CodeIE 2026.06	0.6	-	-	-	-	-	-
T5-v1.1-base 2022.03	0.5889	-	-	-	-	-	-
ChatIE 2026.06	0.5512	-	-	-	-	-	-
Fine-tuned T5-base 2022.03	0.5485	-	-	-	-	-	-
CodeIE 2026.06	0.5339	-	-	-	-	-	-
Vanilla 2026.05	0.51	-	-	-	-	-	-
EVA (text) 2026.05	0.51	-	-	-	-	-	-
SafeDecoding 2026.05	0.509	-	-	-	-	-	-
LoRA 2026.05	0.507	-	-	-	-	-	-
Circuit Breakers 2026.05	0.504	-	-	-	-	-	-
OPT-C4-TuluV3 2025.02	0.5024	-	-	-	-	-	-
LED 2026.05	0.499	-	-	-	-	-	-

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