Metric: F1 (higher is better)
| # | Model↕ | F1▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | IE-Net (ensemble) | 93.214 | No | - | - | - |
| 2 | FPNet (ensemble) | 93.183 | No | - | - | - |
| 3 | IE-NetV2 (ensemble) | 93.1 | No | - | - | - |
| 4 | SA-Net on Albert (ensemble) | 93.011 | No | - | - | - |
| 5 | Retro-Reader (ensemble) | 92.978 | No | Retrospective Reader for Machine Reading Compreh... | 2020-01-27 | Code |
| 6 | SA-Net-V2 (ensemble) | 92.948 | No | - | - | - |
| 7 | FPNet (ensemble) | 92.899 | No | - | - | - |
| 8 | TransNets + SFVerifier + SFEnsembler (ensemble) | 92.894 | No | - | - | - |
| 9 | ATRLP+PV (ensemble) | 92.877 | No | - | - | - |
| 10 | EntitySpanFocusV2 (ensemble) | 92.824 | No | - | - | - |
| 11 | LANetV2 (ensemble) | 92.807 | No | - | - | - |
| 12 | ELECTRA+ALBERT+EntitySpanFocus (ensemble) | 92.799 | No | - | - | - |
| 13 | ALBERT + DAAF + Verifier | 92.777 | No | - | - | - |
| 14 | EntitySpanFocus+AT (ensemble) | 92.748 | No | - | - | - |
| 15 | electra+nlayers+adv+ds | 92.691 | No | - | - | - |
| 16 | MixEnsemble (ensemble) | 92.594 | No | - | - | - |
| 17 | Retro-Reader on ALBERT (ensemble) | 92.58 | No | Retrospective Reader for Machine Reading Compreh... | 2020-01-27 | Code |
| 18 | Retro-Reader on ALBERT (ensemble) | 92.58 | No | Retrospective Reader for Machine Reading Compreh... | 2020-01-27 | Code |
| 19 | electra+nlayers (ensemble) | 92.535 | No | - | - | - |
| 20 | Answer Dependent Classify (single model) | 92.517 | No | - | - | - |
| 21 | electra+nlayers+kdav (ensemble) | 92.497 | No | - | - | - |
| 22 | ANet | 92.457 | No | - | - | - |
| 23 | ALBERT + DAAF + Verifier (ensemble) | 92.425 | No | - | - | - |
| 24 | LANet (ensemble) | 92.425 | No | - | - | - |
| 25 | ELECTRA+ATRLP+PV (single model) | 92.366 | No | - | - | - |
| 26 | Electra-nlayers (ensemble) | 92.312 | No | - | - | - |
| 27 | Span Extract + Classify (single model) | 92.226 | No | - | - | - |
| 28 | ALBERT (ensemble model) | 92.215 | No | ALBERT: A Lite BERT for Self-supervised Learning... | 2019-09-26 | Code |
| 29 | Albert_Verifier_AA_Net (ensemble) | 92.18 | No | - | - | - |
| 30 | albert+KD+transfer (ensemble) | 92.134 | No | - | - | - |
| 31 | ROaD-Electra (single model) | 92.118 | No | - | - | - |
| 32 | ROaD-Electra | 92.118 | No | - | - | - |
| 33 | albert+transform+verify (ensemble) | 92.059 | No | - | - | - |
| 34 | Retro-Reader on ELECTRA (single model) | 92.052 | No | Retrospective Reader for Machine Reading Compreh... | 2020-01-27 | Code |
| 35 | ELECTRA + ROBERTA + ALBERT (ensemble) | 91.994 | No | - | - | - |
| 36 | ELECTRA + E-Verifier (ensemble) | 91.985 | No | - | - | - |
| 37 | Albert-nlayers (ensemble) | 91.964 | No | - | - | - |
| 38 | 2task (single model) | 91.939 | No | - | - | - |
| 39 | Deberta | 91.9 | No | - | - | - |
| 40 | ALBert-LSTM (ensemble) | 91.853 | No | - | - | - |
| 41 | ELECTRA+RL+EV (single model) | 91.765 | No | - | - | - |
| 42 | ALBERT+Entailment DA (ensemble) | 91.745 | No | - | - | - |
| 43 | ALBERT + MTDA + SFVerifier (ensemble model) | 91.739 | No | - | - | - |
| 44 | ALBERT + SFVerifier (ensemble model) | 91.666 | No | - | - | - |
| 45 | electra & albert (ensemble) | 91.635 | No | - | - | - |
| 46 | AE-TEST | 91.635 | No | - | - | - |
| 47 | ELECTRA+EntitySpanFocus (Single model) | 91.546 | No | - | - | - |
| 48 | SA-Net on Electra (single model) | 91.486 | No | - | - | - |
| 49 | Retro-Reader on ALBERT (single model) | 91.419 | No | Retrospective Reader for Machine Reading Compreh... | 2020-01-27 | Code |
| 50 | Retro-Reader on ALBERT (single model) | 91.419 | No | Retrospective Reader for Machine Reading Compreh... | 2020-01-27 | Code |
| 51 | ELECTRA (single model) | 91.365 | No | - | - | - |
| 52 | ELECTRA_ATT (single model) | 91.303 | No | - | - | - |
| 53 | Deberta+prefix | 91.299 | No | - | - | - |
| 54 | ALBERT + IG + NE (single model) | 91.287 | No | - | - | - |
| 55 | ALBERT (Single model) | 91.286 | No | - | - | - |
| 56 | ALBERT+Entailment DA Verifier (single model) | 91.265 | No | - | - | - |
| 57 | ALBERT + IG (single model) | 91.256 | No | - | - | - |
| 58 | Tuned ALBERT (ensemble model) | 91.23 | No | - | - | - |
| 59 | albert_with_tricks (single) | 91.179 | No | - | - | - |
| 60 | albert+KD+transfer (single) | 91.078 | No | - | - | - |
| 61 | ALBert (single-model) | 91.036 | No | - | - | - |
| 62 | albert+verifier (single model) | 91.019 | No | - | - | - |
| 63 | ALBERT 1.1 Th (single model) | 90.944 | No | - | - | - |
| 64 | SkERT-Large (single model) | 90.944 | No | - | - | - |
| 65 | {alber_m_transfor} (single model) | 90.939 | No | - | - | - |
| 66 | aanet_v2.0 (single model) | 90.918 | No | - | - | - |
| 67 | ALBERT (single model) | 90.902 | No | ALBERT: A Lite BERT for Self-supervised Learning... | 2019-09-26 | Code |
| 68 | ALBERT (single model) | 90.902 | No | ALBERT: A Lite BERT for Self-supervised Learning... | 2019-09-26 | Code |
| 69 | {MTL} (single model) | 90.902 | No | - | - | - |
| 70 | MTL (single model) | 90.902 | No | - | - | - |
| 71 | albert_xxlarge (single model) | 90.872 | No | - | - | - |
| 72 | XLNet + DAAF + Verifier (ensemble) | 90.859 | No | - | - | - |
| 73 | ALBERT + SFVerifier (single model) | 90.83 | No | - | - | - |
| 74 | ALBERT+RL (single model) | 90.823 | No | - | - | - |
| 75 | albert+KD+transfer+twopass (single) | 90.818 | No | - | - | - |
| 76 | UPM (ensemble) | 90.713 | No | - | - | - |
| 77 | XLNet + SG-Net Verifier (ensemble) | 90.702 | No | SG-Net: Syntax-Guided Machine Reading Comprehens... | 2019-08-14 | Code |
| 78 | DeBERTalarge | 90.7 | No | DeBERTa: Decoding-enhanced BERT with Disentangle... | 2020-06-05 | Code |
| 79 | XLNet (single model) | 90.689 | No | XLNet: Generalized Autoregressive Pretraining fo... | 2019-06-19 | Code |
| 80 | XLNet + SG-Net Verifier (ensemble) | 90.645 | No | - | - | - |
| 81 | ALBERT 1.1 (single model) | 90.588 | No | - | - | - |
| 82 | Tuned ALBERT (single model) | 90.532 | No | - | - | - |
| 83 | LUKE 483M | 90.2 | No | LUKE: Deep Contextualized Entity Representations... | 2020-10-02 | Code |
| 84 | LUKE (single model) | 90.163 | No | LUKE: Deep Contextualized Entity Representations... | 2020-10-02 | Code |
| 85 | LUKE (single model) | 90.163 | No | LUKE: Deep Contextualized Entity Representations... | 2020-10-02 | Code |
| 86 | Ensemble ALBERT | 90.123 | No | Ensemble ALBERT on SQuAD 2.0 | 2021-10-19 | Code |
| 87 | XLNet + SG-Net Verifier++ (single model) | 90.071 | No | SG-Net: Syntax-Guided Machine Reading Comprehens... | 2019-08-14 | Code |
| 88 | RoBERTa+Verify (ensemble) | 90.037 | No | - | - | - |
| 89 | UPM (single model) | 89.934 | No | - | - | - |
| 90 | XLNet + SG-Net Verifier (single model) | 89.899 | No | - | - | - |
| 91 | RoBERTa (single model) | 89.795 | No | RoBERTa: A Robustly Optimized BERT Pretraining A... | 2019-07-26 | Code |
| 92 | RoBERTa (single model) | 89.795 | No | RoBERTa: A Robustly Optimized BERT Pretraining A... | 2019-07-26 | Code |
| 93 | Enhanced Albert+Verifier3 (ensemble) | 89.778 | No | - | - | - |
| 94 | Enhanced Albert+Verifier (ensemble) | 89.634 | No | - | - | - |
| 95 | RoBERTa+Span (ensemble) | 89.595 | No | - | - | - |
| 96 | RoBERTa+Verify (single model) | 89.586 | No | - | - | - |
| 97 | BERT + DAE + AoA (ensemble) | 89.474 | No | - | - | - |
| 98 | BERT + ConvLSTM + MTL + Verifier (ensemble) | 89.286 | No | - | - | - |
| 99 | XLNET-V2-123+ (single model) | 89.148 | No | - | - | - |
| 100 | BERT + N-Gram Masking + Synthetic Self-Training (ensemble) | 89.147 | No | - | - | - |
| 101 | XLNet (single model) | 89.133 | No | - | - | - |
| 102 | XLNET-123 (single model) | 89.086 | No | - | - | - |
| 103 | Xlnet+Verifier | 89.082 | No | - | - | - |
| 104 | Xlnet+Verifier(single model) | 89.063 | No | - | - | - |
| 105 | Xlnet+Verifier (single model) | 89.063 | No | - | - | - |
| 106 | RoBERTa+Span (single model) | 88.989 | No | - | - | - |
| 107 | Unnamed submission by guo | 88.921 | No | - | - | - |
| 108 | BERTSP(single model) | 88.921 | No | - | - | - |
| 109 | BERTSP (single model) | 88.921 | No | - | - | - |
| 110 | BERT++(ensemble) | 88.886 | No | - | - | - |
| 111 | SemBERT(ensemble) | 88.886 | No | Semantics-aware BERT for Language Understanding | 2019-09-05 | Code |
| 112 | SemBERT(ensemble) | 88.886 | No | Semantics-aware BERT for Language Understanding | 2019-09-05 | Code |
| 113 | SemBERT (ensemble) | 88.886 | No | Semantics-aware BERT for Language Understanding | 2019-09-05 | Code |
| 114 | SG-Net (ensemble) | 88.848 | No | SG-Net: Syntax-Guided Machine Reading Comprehens... | 2019-08-14 | - |
| 115 | SG-Net (ensemble) | 88.848 | No | SG-Net: Syntax-Guided Machine Reading Comprehens... | 2019-08-14 | Code |
| 116 | RoBERTa-Large (ensemble model) | 88.793 | No | - | - | - |
| 117 | SpanBERT (single model) | 88.709 | No | - | - | - |
| 118 | SpanBERT | 88.7 | No | SpanBERT: Improving Pre-training by Representing... | 2019-07-24 | Code |
| 119 | SENSEFORTH + XLNet (single model) | 88.699 | No | - | - | - |
| 120 | BERT + DAE + AoA (single model) | 88.621 | No | - | - | - |
| 121 | BNDVnet (ensemble model) | 88.449 | No | - | - | - |
| 122 | RoBERTa-Large (single model) | 88.425 | No | - | - | - |
| 123 | SemBERT (ensemble model) | 88.4 | No | - | - | - |
| 124 | BERT + ConvLSTM + MTL + Verifier (single model) | 88.204 | No | - | - | - |
| 125 | xlnet | 88 | No | - | - | - |
| 126 | xlnet(single model) | 88 | No | - | - | - |
| 127 | xlnet (single model) | 88 | No | - | - | - |
| 128 | SG-Net (single model) | 87.926 | No | SG-Net: Syntax-Guided Machine Reading Comprehens... | 2019-08-14 | - |
| 129 | SG-Net (single model) | 87.926 | No | SG-Net: Syntax-Guided Machine Reading Comprehens... | 2019-08-14 | Code |
| 130 | BertCNN (single model) | 87.901 | No | - | - | - |
| 131 | SemBERT (single model) | 87.864 | No | Semantics-aware BERT for Language Understanding | 2019-09-05 | Code |
| 132 | SemBERT (single model) | 87.864 | No | Semantics-aware BERT for Language Understanding | 2019-09-05 | Code |
| 133 | BNDVnet (single model) | 87.833 | No | - | - | - |
| 134 | BERT + N-Gram Masking + Synthetic Self-Training (single model) | 87.715 | No | - | - | - |
| 135 | Insight-baseline-BERT (single model) | 87.644 | No | - | - | - |
| 136 | BERT++(single model) | 87.625 | No | - | - | - |
| 137 | BERT + MMFT + ADA (ensemble) | 87.615 | No | - | - | - |
| 138 | BertSpan (ensemble) | 87.489 | No | - | - | - |
| 139 | Hanvon_model(single model) | 87.117 | No | - | - | - |
| 140 | Hanvon_model (single model) | 87.117 | No | - | - | - |
| 141 | RoberTa Parallel Adapters Singl | 87.013 | No | - | - | - |
| 142 | RoberTa Parallel Adapters Single | 87.013 | No | - | - | - |
| 143 | RoberTa+Parallel+Adapters (single model) | 87.013 | No | - | - | - |
| 144 | BERT + Synthetic Self-Training (ensemble) | 86.967 | No | - | - | - |
| 145 | BERT + Multiple-CNN (ensemble)(Kyonggi University | 86.767 | No | - | - | - |
| 146 | BERT + Multiple-CNN (ensemble) | 86.767 | No | - | - | - |
| 147 | SemNet (single model) | 86.669 | No | - | - | - |
| 148 | Tuned BERT-1seq Large Cased (single model) | 86.594 | No | - | - | - |
| 149 | SynNet (single model) | 86.222 | No | - | - | - |
| 150 | PAML+BERT (ensemble model) | 86.122 | No | - | - | - |
| 151 | BERT finetune baseline (ensemble) | 86.096 | No | - | - | - |
| 152 | mgrc_l (single model) | 86.075 | No | - | - | - |
| 153 | Lunet + Verifier + BERT (ensemble) | 86.043 | No | - | - | - |
| 154 | Lunet + Verifier + BERT (single model) | 86.035 | No | - | - | - |
| 155 | ATB (single model) | 86.002 | No | - | - | - |
| 156 | BERT + MMFT + ADA (single model) | 85.892 | No | - | - | - |
| 157 | Unnamed submission by Senseforth_AI | 85.873 | No | - | - | - |
| 158 | SENSEFORTH + BERT | 85.873 | No | - | - | - |
| 159 | Tuned BERT Large Cased (single model) | 85.863 | No | - | - | - |
| 160 | BERT + Synthetic Self-Training (single model) | 85.81 | No | - | - | - |
| 161 | BERT with Something (ensemble) | 85.737 | No | - | - | - |
| 162 | BART + Adapters + Lohfink-Rossi-Leaveout (single-model) | 85.67 | No | - | - | - |
| 163 | PAML+BERT (single model) | 85.603 | No | - | - | - |
| 164 | BERT + NeurQuRI (ensemble) | 85.584 | No | - | - | - |
| 165 | Bert-raw (ensemble) | 85.51 | No | - | - | - |
| 166 | BERT-Base + QA Pre-training (single model) | 85.491 | No | - | - | - |
| 167 | AoA + DA + BERT (ensemble) | 85.31 | No | - | - | - |
| 168 | Unnamed submission by cooelf | 85.178 | No | - | - | - |
| 169 | Unnamed submission by zw10 | 84.862 | No | - | - | - |
| 170 | BERT-Base PMI-Masking Additional Data (single model) | 84.854 | No | - | - | - |
| 171 | BERT_s (single model) | 84.846 | No | - | - | - |
| 172 | BERT finetune baseline (single model) | 84.82 | No | - | - | - |
| 173 | Candi-Net+BERT (ensemble) | 84.624 | No | - | - | - |
| 174 | BERT-large+UBFT (single model) | 84.535 | No | - | - | - |
| 175 | BERT with Something (single model) | 84.386 | No | - | - | - |
| 176 | AoA + DA + BERT (single model) | 84.251 | No | - | - | - |
| 177 | BERT + UnAnsQ (single model) | 83.851 | No | - | - | - |
| 178 | BERT + AL (single model) | 83.827 | No | - | - | - |
| 179 | BERT-Base PMI-Masking (single model) | 83.604 | No | - | - | - |
| 180 | BERTlarge (ensemble) | 83.509 | No | - | - | - |
| 181 | Bert-raw (single) | 83.457 | No | - | - | - |
| 182 | BERT + NeurQuRI (single model) | 83.391 | No | - | - | - |
| 183 | Unnamed submission by zw4 | 83.329 | No | - | - | - |
| 184 | {Bert-Span} (single model) | 83.329 | No | - | - | - |
| 185 | Original BERT Large Cased (single model) | 83.266 | No | - | - | - |
| 186 | PMI-Masking Additional Data Random Baseline (single model) | 83.262 | No | - | - | - |
| 187 | Bert-raw (single model) | 83.243 | No | - | - | - |
| 188 | BERT + UDA (single model) | 83.208 | No | - | - | - |
| 189 | PwP+BERT (single model) | 83.189 | No | - | - | - |
| 190 | bert (single model) | 83.184 | No | - | - | - |
| 191 | PMI-Masking Pure-PMI (single model) | 83.175 | No | - | - | - |
| 192 | BISAN-CC (single model) | 83.149 | No | - | - | - |
| 193 | Bert | 83.118 | No | - | - | - |
| 194 | Insight-baseline (single model) | 83.099 | No | - | - | - |
| 195 | PMI-Masking Additional Data Pure-PMI (single model) | 83.039 | No | - | - | - |
| 196 | BERT + Sparse-Transformer | 83.023 | No | - | - | - |
| 197 | BERT uncased (single model) | 83.02 | No | - | - | - |
| 198 | ST_bl | 82.962 | No | - | - | - |
| 199 | NEXYS_BASE (single model) | 82.912 | No | - | - | - |
| 200 | Candi-Net+BERT (single model) | 82.908 | No | - | - | - |
| 201 | {bert-finetuning} (single model) | 82.852 | No | - | - | - |
| 202 | PMI-Masking Random Baseline (single model) | 82.796 | No | - | - | - |
| 203 | {Anonymous} (single model) | 82.524 | No | - | - | - |
| 204 | L6Net + BERT (single model) | 82.259 | No | - | - | - |
| 205 | Fusion Adapters TriviaQA NQ Singl | 81.863 | No | - | - | - |
| 206 | RoberTa Fusion Adapters Single | 81.863 | No | - | - | - |
| 207 | RoberTa+Fusion+Adapters (single model) | 81.863 | No | - | - | - |
| 208 | BISAN (single model) | 81.531 | No | - | - | - |
| 209 | BERT-Large-Cased (single model) | 81.5 | No | - | - | - |
| 210 | BERT-Large-Cased | 81.5 | No | - | - | - |
| 211 | BERT + WIAN (ensemble) | 81.497 | No | - | - | - |
| 212 | BERTlarge (single model) | 81.474 | No | - | - | - |
| 213 | AMBERT (single model) | 81.445 | No | - | - | - |
| 214 | BERT+AC(single model) | 81.174 | No | - | - | - |
| 215 | BERT+AC (single model) | 81.174 | No | - | - | - |
| 216 | BERT (single model) | 80.31 | No | - | - | - |
| 217 | TriviaQA Adapter Single Tune | 80.258 | No | - | - | - |
| 218 | RoberTa Adapter Single | 80.258 | No | - | - | - |
| 219 | RoberTa+Adapter (single model) | 80.258 | No | - | - | - |
| 220 | SLQA+BERT (single model) | 80.209 | No | - | - | - |
| 221 | AMBERT-S (single model) | 79.776 | No | - | - | - |
| 222 | AMBERT-H (single model) | 79.659 | No | - | - | - |
| 223 | synss (single model ) | 79.329 | No | - | - | - |
| 224 | synss (single model) | 79.329 | No | - | - | - |
| 225 | mgrc | 78.381 | No | - | - | - |
| 226 | gMLP-large | 78.3 | No | Pay Attention to MLPs | 2021-05-17 | Code |
| 227 | BERT-Base-L (single model) | 78.232 | No | - | - | - |
| 228 | ARSG-BERT (single model) | 78.227 | No | - | - | - |
| 229 | MIR-MRC(F-Net) (single model) | 77.988 | No | - | - | - |
| 230 | MIR-MRC (F-Net) | 77.988 | No | - | - | - |
| 231 | BERT-Base-V (single model) | 77.805 | No | - | - | - |
| 232 | BERT-Base-DT (single model) | 77.706 | No | - | - | - |
| 233 | BERT-Base-DP (single model) | 77.464 | No | - | - | - |
| 234 | BERT-Base-V2 | 77.404 | No | - | - | - |
| 235 | BERT-Base-Add (single model) | 77.396 | No | - | - | - |
| 236 | {BERTcw} (single model) | 77.308 | No | - | - | - |
| 237 | nlnet (single model) | 77.052 | No | - | - | - |
| 238 | batch2 (single model) | 76.858 | No | - | - | - |
| 239 | MMIPN | 76.424 | No | - | - | - |
| 240 | BERT-Base-Baseline (single model) | 76.284 | No | - | - | - |
| 241 | BERT-Base (single model) | 76.236 | No | - | - | - |
| 242 | ICL_MODEL(ensemble) | 76.217 | No | - | - | - |
| 243 | ICL_MODEL (ensemble) | 76.217 | No | - | - | - |
| 244 | BERT-base | 75.513 | No | - | - | - |
| 245 | BERTBase (single model) | 75.513 | No | - | - | - |
| 246 | YARCS (ensemble) | 75.507 | No | - | - | - |
| 247 | BERT+Answer Verifier (single model) | 75.457 | No | - | - | - |
| 248 | Unet (ensemble) | 74.869 | No | U-Net: Machine Reading Comprehension with Unansw... | 2018-10-12 | Code |
| 249 | HYDRA_BERT (single model) | 74.578 | No | - | - | - |
| 250 | {BERT-base} (single-model) | 74.449 | No | - | - | - |
| 251 | SLQA+ (single model) | 74.434 | No | - | - | - |
| 252 | BERT-Base (single) | 74.43 | No | - | - | - |
| 253 | Reinforced Mnemonic Reader + Answer Verifier (single model) | 74.295 | No | Read + Verify: Machine Reading Comprehension wit... | 2018-08-17 | - |
| 254 | SAN (ensemble model) | 73.704 | No | Stochastic Answer Networks for Machine Reading C... | 2017-12-10 | Code |
| 255 | Multi-Level Attention Fusion(MLAF) (single model) | 72.857 | No | - | - | - |
| 256 | Multi-Level Attention Fusion (MLAF) | 72.857 | No | - | - | - |
| 257 | Unet (single model) | 72.642 | No | - | - | - |
| 258 | FusionNet++ (ensemble) | 72.484 | No | FusionNet: Fusing via Fully-Aware Attention with... | 2017-11-16 | Code |
| 259 | DocQA + NeurQuRI (single model) | 71.662 | No | - | - | - |
| 260 | BiDAF++ with pair2vec (single model) | 71.583 | No | - | - | - |
| 261 | SAN (single model) | 71.439 | No | Stochastic Answer Networks for Machine Reading C... | 2017-12-10 | Code |
| 262 | VS^3-NET (single model) | 70.884 | No | - | - | - |
| 263 | KACTEIL-MRC(GFN-Net) (single model) | 70.878 | No | - | - | - |
| 264 | KACTEIL-MRC (GFN-Net) | 70.878 | No | - | - | - |
| 265 | EBB-Net (single model) | 70.303 | No | - | - | - |
| 266 | KakaoNet2 (single model) | 69.381 | No | - | - | - |
| 267 | abcNet (single model) | 69.206 | No | - | - | - |
| 268 | BiDAF++ (single model) | 68.866 | No | - | - | - |
| 269 | BSAE AddText (single model) | 67.422 | No | - | - | - |
| 270 | eeAttNet (single model) | 66.633 | No | - | - | - |
| 271 | BiDAF + Self Attention + ELMo (single model) | 66.251 | No | Deep contextualized word representations | 2018-02-15 | Code |
| 272 | BiDAF + Self Attention + ELMo (single model) | 66.251 | No | Deep contextualized word representations | 2018-02-15 | - |
| 273 | Tree-LSTM + BiDAF + ELMo (single model) | 62.341 | No | - | - | - |
| 274 | BiDAF + Self Attention (single model) | 62.305 | No | - | - | - |
| 275 | BiDAF-No-Answer (single model) | 62.093 | No | - | - | - |
| 276 | BNA + SoftDrop (single model) | 62.045 | No | - | - | - |
| 277 | BNA + HardDrop (single model) | 59.546 | No | - | - | - |
| 278 | Unnamed submission by Simon | 59.546 | No | - | - | - |
| 279 | Anonymous (single model) | 49.701 | No | - | - | - |
| 280 | {FOO} (single model) | 48.883 | No | - | - | - |
| 281 | Bert Large Sentence (Single Model) | 48.815 | No | - | - | - |
| 282 | XLNet + DAAF + BERTverifier (ensemble) | 47.994 | No | - | - | - |
| 283 | TSAN | 43.213 | No | - | - | - |
| 284 | 29.597 | No | - | - | - | |
| 285 | CHECK SYSTEM (single model) | 5.92 | No | - | - | - |
| 286 | 5cls_squad1_fai | 3.971 | No | - | - | - |