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Text Classification on MR (test)

93.13Accuracy

PLR-4

Updated 29d ago

Evaluation Results

Method
PLR-4 2026.03	93.13	-	-	-	-
Static 2026.03	92.39	-	-	-	-
PLR-EMA 2026.03	92.21	-	-	-	-
PLR-1 2026.03	92.14	-	-	-	-
Static 2026.03	92.07	-	-	-	-
PLR-4 2026.03	92.02	-	-	-	-
Top-K 2026.03	91.96	-	-	-	-
Top-K 2026.03	91.95	-	-	-	-
PLR-1 2026.03	91.95	-	-	-	-
LocalE 2026.03	91.9	-	-	-	-
PDO-U 2026.03	91.87	-	-	-	-
PDO-Up 2026.03	91.87	-	-	-	-
Static 2026.03	91.87	-	-	-	-
PDO-U 2026.03	91.85	-	-	-	-
PDO-Up 2026.03	91.83	-	-	-	-
PLR-EMA 2026.03	91.83	-	-	-	-
GlobalE 2026.03	91.8	-	-	-	-
PLR-4 2026.03	91.79	-	-	-	-
Static 2026.03	91.75	-	-	-	-
Static 2026.03	91.73	-	-	-	-
PDO 2026.03	91.73	-	-	-	-
DeMO 2026.03	91.7	-	-	-	-
GlobalE 2026.03	91.69	-	-	-	-
DeMO 2026.03	91.67	-	-	-	-
PLR-EMA 2026.03	91.46	-	-	-	-
PLR-4 2026.03	91.4	-	-	-	-
PDO 2026.03	91.39	-	-	-	-
LocalE 2026.03	91.36	-	-	-	-
Static 2026.03	91.34	-	-	-	-
PLR-1 2026.03	91.32	-	-	-	-
PRL 2025.12	91.27	-	-	-	-
LocalE 2026.03	91.2	-	-	-	-
DeMO 2026.03	91.17	-	-	-	-
Top-K 2026.03	91.14	-	-	-	-
GlobalE 2026.03	91.11	-	-	-	-
Static 2026.03	91.1	-	-	-	-
PDO-Up 2026.03	91.1	-	-	-	-
PDO 2026.03	91.08	-	-	-	-
PIAST (E) 2025.12	91	-	-	-	-
PDO-U 2026.03	90.91	-	-	-	-
Top-K 2026.03	90.9	-	-	-	-
NI 2025.12	90.85	-	-	-	-
PLR-4 2026.03	90.82	-	-	-	-
DP SimHash Bucketing 2026.05	90.8	-	-	-	-
DP SimHash Bucketing 2026.05	90.8	-	-	-	-
DeMO 2026.03	90.79	-	-	-	-
PLR-1 2026.03	90.78	-	-	-	-
LocalE 2026.03	90.72	-	-	-	-
DP SimHash Bucketing 2026.05	90.7	-	-	-	-
PLR-EMA 2026.03	90.67	-	-	-	-
GlobalE 2026.03	90.66	-	-	-	-
PDO-U 2026.03	90.61	-	-	-	-
PDO-Up 2026.03	90.61	-	-	-	-
DP SimHash Bucketing 2026.05	90.6	-	-	-	-
PIAST 2025.12	90.57	-	-	-	-
PDO 2026.03	90.56	-	-	-	-
DP SimHash Bucketing 2026.05	90.5	-	-	-	-
GA 2025.12	90.45	-	-	-	-
PIAST (I) 2025.12	90.43	-	-	-	-
PIAST (LOO) 2025.12	90.42	-	-	-	-
Static 2026.03	90.22	-	-	-	-
DE 2025.12	89.98	-	-	-	-
APO 2025.12	89.97	-	-	-	-
APE 2025.12	89.9	-	-	-	-
ROBERTAGCN 2021.05	89.7	-	-	-	-
KNN-Prompting 2026.05	89.7	-	-	-	-
RoBERTa 2021.05	89.4	-	-	-	-
ROBERTAGAT 2021.05	89.2	-	-	-	-
DP SimHash Bucketing 2026.05	88.4	-	-	-	-
Fine-tuned BERT 2024.05	87.63	-	-	-	-
MI 2025.12	87.4	-	-	-	-
PIN 2024.07	87.2	-	-	-	-
RLPrompt 2024.07	87.1	-	-	-	-
BYTE MLSTM 2017.04	86.9	-	-	-	-
BertGAT 2021.05	86.5	-	-	-	-
GrIPS 2024.07	86.1	-	-	-	-
BertGCN 2021.05	86	-	-	-	-
BERT 2021.05	85.7	-	-	-	-
Instructions 2024.07	85.2	-	-	-	-
ADASENT 2017.04	83.1	-	-	-	-
Zhao et al. (2015) 2017.09	83.1	-	-	-	-
SRU (8 layers) 2017.09	83.1	-	-	-	-
SRU (4 layers) 2017.09	82.9	-	-	-	-
Spikformer w/ CPG-PE 2024.05	82.42	-	-	-	-
SRU (2 layers) 2017.09	82.3	-	-	-	-
QRNN (k=1) + highway 2017.09	82.1	-	-	-	-
QRNN (k=1) 2017.09	82	-	-	-	-
Zhang and Wallace (2017) 2017.09	81.7	-	-	-	-
CNN 2017.04	81.5	-	-	-	-
CNN 2018.05	81.5	-	-	-	-
Kim (2014) 2017.09	81.5	-	-	-	-
TextGSL 2025.12	81.27	-	-	-	-
Manual Prompt 2024.07	80.9	-	-	-	-
In-Context Demonstration 2024.07	80.6	-	-	-	-
LSTM 2017.09	79.8	-	-	-	-
TextSSL 2025.12	79.74	-	-	-	-
Spikformer w/ Float-PE 2024.05	79.67	-	-	-	-
SKIPTHOUGHT 2017.04	79.5	-	-	-	-
NBSVM 2017.04	79.4	-	-	-	-
UGformer 2019.09	79.29	-	-	-	-

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