Text Classification on Yelp (test)
94.8AccuracyPerReLLM
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| PerReLLM2025.12 | 94.8 | — | — | 94.8 | 94.8 | 94.8 | |
| LM-DA2025.12 | 94.8 | — | — | 94.8 | 94.8 | 94.8 | |
| Self-Augment2025.12 | 94.7 | — | — | 94.7 | 94.7 | 94.6 | |
| Mini-DA2025.12 | 94.7 | — | — | 94.7 | 94.7 | 94.6 | |
| CIEGAD2025.12 | 94.5 | — | — | 94.5 | 94.5 | 94.4 | |
| SynReLLM2025.12 | 94.2 | — | — | 94.2 | 94.2 | 94.1 | |
| Golden2025.12 | 94.1 | — | — | 94.1 | 94.1 | 94 | |
| INTRADocContext Window Size (L)=8K, Few-shot Demonstrations=482024.02 | 92.83 | — | — | — | — | — | |
| RSTlabeled_documents=5002023.12 | 92.8 | — | — | — | — | — | |
| RSTlabeled_documents=3002023.12 | 92.6 | — | — | — | — | — | |
| Tri-train+labeled_documents=5002023.12 | 92.3 | — | — | — | — | — | |
| Mut-learnlabeled_documents=5002023.12 | 92 | — | — | — | — | — | |
| INTRADocContext Window Size (L)=2K, Few-shot Demonstrations=202024.02 | 91.91 | — | — | — | — | — | |
| UPSlabeled_documents=5002023.12 | 91.8 | — | — | — | — | — | |
| Baselinelabeled_documents=5002023.12 | 91.7 | — | — | — | — | — | |
| Space-replabeled_documents=5002023.12 | 91.7 | — | — | — | — | — | |
| HAUlabeled_documents=5002023.12 | 91.7 | — | — | — | — | — | |
| BM25ChunkContext Window Size (L)=2K, Few-shot Demonstrations=202024.02 | 91.67 | — | — | — | — | — | |
| Self-trainlabeled_documents=5002023.12 | 91.6 | — | — | — | — | — | |
| Tri-train+labeled_documents=3002023.12 | 91.4 | — | — | — | — | — | |
| HAUlabeled_documents=3002023.12 | 91.2 | — | — | — | — | — | |
| Sel-Reglabeled_documents=3002023.12 | 91.2 | — | — | — | — | — | |
| Sel-Reglabeled_documents=5002023.12 | 91.2 | — | — | — | — | — | |
| UNIChunkContext Window Size (L)=2K, Few-shot Demonstrations=202024.02 | 91.16 | — | — | — | — | — | |
| UPSlabeled_documents=3002023.12 | 91 | — | — | — | — | — | |
| Mut-learnlabeled_documents=3002023.12 | 90.8 | — | — | — | — | — | |
| Space-replabeled_documents=3002023.12 | 89.9 | — | — | — | — | — | |
| BDDlabeled_documents=3002023.12 | 89.2 | — | — | — | — | — | |
| Baselinelabeled_documents=3002023.12 | 89.1 | — | — | — | — | — | |
| BDDlabeled_documents=5002023.12 | 89.1 | — | — | — | — | — | |
| Self-trainlabeled_documents=3002023.12 | 88.3 | — | — | — | — | — | |
| MixChunkContext Window Size (L)=2K, Few-shot Demonstrations=202024.02 | 86.89 | — | — | — | — | — | |
| BM25ChunkContext Window Size (L)=8K, Few-shot Demonstrations=482024.02 | 85.19 | — | — | — | — | — | |
| UNIChunkContext Window Size (L)=8K, Few-shot Demonstrations=482024.02 | 83.45 | — | — | — | — | — | |
| ParBaLS EPIGAL Setup (Initial + Rounds x Batch Size)=100 + 10 x 202025.10 | 80.89 | — | — | — | — | — | |
| ParBaLS-MAP EPIGAL Setup (Initial + Rounds x Batch Size)=100 + 10 x 202025.10 | 80.41 | — | — | — | — | — | |
| GALAXYAL Setup (Initial + Rounds x Batch Size)=100 + 10 x 202025.10 | 80.28 | — | — | — | — | — | |
| ConfidenceAL Setup (Initial + Rounds x Batch Size)=100 + 10 x 202025.10 | 80.11 | — | — | — | — | — | |
| MixChunkContext Window Size (L)=8K, Few-shot Demonstrations=482024.02 | 79.06 | — | — | — | — | — | |
| ParBaLS EPIGAL Setup=20 + 10 x 202025.10 | 78.91 | — | — | — | — | — | |
| ParBaLS EPIGAL Budget=20 + 10 x 20, Seeds=102025.10 | 78.91 | — | — | — | — | — | |
| ConfidenceAL Setup=20 + 10 x 202025.10 | 78.69 | — | — | — | — | — | |
| SoftRankEPIGAL Budget=20 + 10 x 20, Seeds=102025.10 | 78.54 | — | — | — | — | — | |
| GALAXYAL Setup=20 + 10 x 202025.10 | 78.51 | — | — | — | — | — | |
| ParBaLS-MAP EPIGAL Setup=20 + 10 x 202025.10 | 78.41 | — | — | — | — | — | |
| ParBaLS-MAP EPIGAL Budget=20 + 10 x 20, Seeds=102025.10 | 78.41 | — | — | — | — | — | |
| GALAXYinitial_labels=100, query_schedule=10 x 102025.10 | 78.09 | — | — | — | — | — | |
| BADGEAL Setup (Initial + Rounds x Batch Size)=100 + 10 x 202025.10 | 77.94 | — | — | — | — | — | |
| ParBaLS-MAP EPIGinitial_labels=100, query_schedule=10 x 102025.10 | 77.88 | — | — | — | — | — | |
| ParBaLS-MAP EPIGAL setup=100 + 10 x 102025.10 | 77.88 | — | — | — | — | — | |
| PowerBALDAL Budget=20 + 10 x 20, Seeds=102025.10 | 77.86 | — | — | — | — | — | |
| RandomAL Setup (Initial + Rounds x Batch Size)=100 + 10 x 202025.10 | 77.61 | — | — | — | — | — | |
| ParBaLS EPIGinitial_labels=100, query_schedule=10 x 102025.10 | 77.39 | — | — | — | — | — | |
| ParBaLS EPIGAL setup=100 + 10 x 102025.10 | 77.39 | — | — | — | — | — | |
| Confidenceinitial_labels=100, query_schedule=10 x 102025.10 | 77.31 | — | — | — | — | — | |
| EPIGAL Budget=20 + 10 x 20, Seeds=102025.10 | 77.31 | — | — | — | — | — | |
| EPIGAL setup=100 + 10 x 102025.10 | 77.12 | — | — | — | — | — | |
| SoftmaxBALDAL Budget=20 + 10 x 20, Seeds=102025.10 | 76.98 | — | — | — | — | — | |
| SoftRankEPIGAL setup=100 + 10 x 102025.10 | 76.98 | — | — | — | — | — | |
| SoftmaxEPIGAL Budget=20 + 10 x 20, Seeds=102025.10 | 76.96 | — | — | — | — | — | |
| RandomAL Setup=20 + 10 x 202025.10 | 76.47 | — | — | — | — | — | |
| SoftmaxEPIGAL setup=100 + 10 x 102025.10 | 76.4 | — | — | — | — | — | |
| PowerBALDAL setup=100 + 10 x 102025.10 | 76.37 | — | — | — | — | — | |
| SoftmaxBALDAL setup=100 + 10 x 102025.10 | 76.16 | — | — | — | — | — | |
| PowerEPIGAL setup=100 + 10 x 102025.10 | 76 | — | — | — | — | — | |
| PowerEPIGAL Budget=20 + 10 x 20, Seeds=102025.10 | 75.76 | — | — | — | — | — | |
| BADGEAL Setup=20 + 10 x 202025.10 | 75.5 | — | — | — | — | — | |
| Randominitial_labels=100, query_schedule=10 x 102025.10 | 75.39 | — | — | — | — | — | |
| BADGEinitial_labels=100, query_schedule=10 x 102025.10 | 75.19 | — | — | — | — | — | |
| GLISTERAL Setup (Initial + Rounds x Batch Size)=100 + 10 x 202025.10 | 73.07 | — | — | — | — | — | |
| SoftRankBALDAL setup=100 + 10 x 102025.10 | 72.54 | — | — | — | — | — | |
| GLISTERinitial_labels=100, query_schedule=10 x 102025.10 | 71.04 | — | — | — | — | — | |
| BatchBALDAL setup=100 + 10 x 102025.10 | 70.82 | — | — | — | — | — | |
| SoftRankBALDAL Budget=20 + 10 x 20, Seeds=102025.10 | 69.87 | — | — | — | — | — | |
| BALDAL setup=100 + 10 x 102025.10 | 69.61 | — | — | — | — | — | |
| CoreSetAL Setup (Initial + Rounds x Batch Size)=100 + 10 x 202025.10 | 69.26 | — | — | — | — | — | |
| CoreSetinitial_labels=100, query_schedule=10 x 102025.10 | 68.88 | — | — | — | — | — | |
| GLISTERAL Setup=20 + 10 x 202025.10 | 65.88 | — | — | — | — | — | |
| BALDAL Budget=20 + 10 x 20, Seeds=102025.10 | 63.6 | — | — | — | — | — | |
| SCNN-VAE-Semi+initNumber of labeled samples=20002017.02 | 59.8 | — | — | — | — | — | |
| CoreSetAL Setup=20 + 10 x 202025.10 | 58.95 | — | — | — | — | — | |
| SCNN-VAE-Semi+initNumber of labeled samples=10002017.02 | 58.9 | — | — | — | — | — | |
| LM-LSTMNumber of labeled samples=20002017.02 | 57.7 | — | — | — | — | — | |
| SCNN-VAE-SemiNumber of labeled samples=20002017.02 | 57.4 | — | — | — | — | — | |
| SCNN-VAE-Semi+initNumber of labeled samples=5002017.02 | 57.3 | — | — | — | — | — | |
| LM-LSTMNumber of labeled samples=10002017.02 | 57.2 | — | — | — | — | — | |
| SCNN-VAE-SemiNumber of labeled samples=10002017.02 | 55.3 | — | — | — | — | — | |
| LM-LSTMNumber of labeled samples=5002017.02 | 54.1 | — | — | — | — | — | |
| SCNN-VAE-SemiNumber of labeled samples=5002017.02 | 53.5 | — | — | — | — | — | |
| SCNN-VAE-Semi+initNumber of labeled samples=1002017.02 | 52.6 | — | — | — | — | — | |
| LA-LSTMNumber of labeled samples=20002017.02 | 52.2 | — | — | — | — | — | |
| SCNN-VAE-SemiNumber of labeled samples=1002017.02 | 51.4 | — | — | — | — | — | |
| LA-LSTMNumber of labeled samples=10002017.02 | 49.8 | — | — | — | — | — | |
| LM-LSTMNumber of labeled samples=1002017.02 | 46.9 | — | — | — | — | — | |
| LA-LSTMNumber of labeled samples=5002017.02 | 46.4 | — | — | — | — | — | |
| LA-LSTMNumber of labeled samples=1002017.02 | 35.2 | — | — | — | — | — | |
| LSTMNumber of labeled samples=20002017.02 | 29.9 | — | — | — | — | — | |
| LSTMNumber of labeled samples=10002017.02 | 27.9 | — | — | — | — | — | |
| LSTMNumber of labeled samples=5002017.02 | 25.4 | — | — | — | — | — | |
| LSTMNumber of labeled samples=1002017.02 | 22.6 | — | — | — | — | — |