| molecular-property-prediction-on-moleculenet | Uni-Mol | #1 | AUC: 0.77 |
| molecular-property-prediction-on-moleculenet | GAL 30B | #2 | AUC: 0.69 |
| molecular-property-prediction-on-moleculenet | GAL 6.7B | #3 | AUC: 0.64 |
| molecular-property-prediction-on-moleculenet | GAL 1.3B | #4 | AUC: 0.619 |
| molecular-property-prediction-on-moleculenet | GAL 125M | #5 | AUC: 0.581 |
| multiple-choice-question-answering-mcqa-on-mmlu-abstract-algebra | GAL 30B (zero-shot) | #1 | Accuracy: 33.3 |
| multiple-choice-question-answering-mcqa-on-mmlu-abstract-algebra | Chinchilla (few-shot, k=5) | #2 | Accuracy: 31 |
| multiple-choice-question-answering-mcqa-on-mmlu-abstract-algebra | GAL 120B (zero-shot) | #3 | Accuracy: 27 |
| multiple-choice-question-answering-mcqa-on-mmlu-abstract-algebra | Gopher (few-shot, k=5) | #4 | Accuracy: 25 |
| multiple-choice-question-answering-mcqa-on-mmlu-abstract-algebra | OPT (few-shot, k=5) | #5 | Accuracy: 21 |
| multiple-choice-question-answering-mcqa-on-mmlu-astronomy | Chinchilla (few-shot, k=5) | #1 | Accuracy: 73.0 |
| multiple-choice-question-answering-mcqa-on-mmlu-astronomy | Gopher (few-shot, k=5) | #2 | Accuracy: 65.8 |
| multiple-choice-question-answering-mcqa-on-mmlu-astronomy | GAL 120B (zero-shot) | #3 | Accuracy: 65.1 |
| multiple-choice-question-answering-mcqa-on-mmlu-astronomy | BLOOM (few-shot, k=5) | #4 | Accuracy: 25.7 |
| multiple-choice-question-answering-mcqa-on-mmlu-astronomy | OPT (few-shot, k=5) | #5 | Accuracy: 23.0 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-chemistry | Chinchilla (few-shot, k=5) | #1 | Accuracy: 51 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-chemistry | GAL 120B (zero-shot) | #2 | Accuracy: 46 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-chemistry | Gopher (few-shot, k=5) | #3 | Accuracy: 45 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-chemistry | OPT (few-shot, k=5) | #4 | Accuracy: 30 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-chemistry | BLOOM (few-shot, k=5) | #5 | Accuracy: 19 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-computer-science | Chinchilla (few-shot, k=5) | #1 | Accuracy: 51.0 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-computer-science | GAL 120B (zero-shot) | #2 | Accuracy: 49 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-computer-science | OPT (few-shot, k=5) | #3 | Accuracy: 17.0 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-computer-science | BLOOM (few-shot, k=5) | #4 | Accuracy: 6.0 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-mathematics | GAL 120B (zero-shot) | #1 | Accuracy: 43 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-mathematics | Gopher (few-shot, k=5) | #2 | Accuracy: 37 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-mathematics | OPT (few-shot, k=5) | #3 | Accuracy: 33 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-mathematics | Chinchilla (few-shot, k=5) | #4 | Accuracy: 32 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-mathematics | BLOOM (few-shot, k=5) | #5 | Accuracy: 25 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-physics | Chinchilla (few-shot, k=5) | #1 | Accuracy: 46.1 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-physics | GAL 120B (zero-shot) | #2 | Accuracy: 42.2 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-physics | Gopher (few-shot, k=5) | #3 | Accuracy: 34.3 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-physics | OPT (few-shot, k=5) | #4 | Accuracy: 21.6 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-physics | BLOOM (few-shot, k=5) | #5 | Accuracy: 18.6 |
| multiple-choice-question-answering-mcqa-on-mmlu-econometrics | Gopher (few-shot, k=5) | #1 | Accuracy: 43 |
| multiple-choice-question-answering-mcqa-on-mmlu-econometrics | GAL 120B (zero-shot) | #2 | Accuracy: 42.1 |
| multiple-choice-question-answering-mcqa-on-mmlu-econometrics | Chinchilla (few-shot, k=5) | #3 | Accuracy: 38.6 |
| multiple-choice-question-answering-mcqa-on-mmlu-econometrics | BLOOM (few-shot, k=5) | #4 | Accuracy: 23.7 |
| multiple-choice-question-answering-mcqa-on-mmlu-econometrics | OPT (few-shot, k=5) | #5 | Accuracy: 21 |
| multiple-choice-question-answering-mcqa-on-mmlu-electrical-engineer | GAL 120B (zero-shot) | #1 | Accuracy: 62.8 |
| multiple-choice-question-answering-mcqa-on-mmlu-electrical-engineer | Chinchilla (few-shot, k=5) | #2 | Accuracy: 62.1 |
| multiple-choice-question-answering-mcqa-on-mmlu-electrical-engineer | Gopher (few-shot, k=5) | #3 | Accuracy: 60 |
| multiple-choice-question-answering-mcqa-on-mmlu-electrical-engineer | OPT (few-shot, k=5) | #4 | Accuracy: 36.6 |
| multiple-choice-question-answering-mcqa-on-mmlu-electrical-engineer | BLOOM (few-shot, k=5) | #5 | Accuracy: 32.4 |
| multiple-choice-question-answering-mcqa-on-mmlu-elementary-mathematics | Chinchilla (few-shot, k=5) | #1 | Accuracy: 41.5 |
| multiple-choice-question-answering-mcqa-on-mmlu-elementary-mathematics | GAL 120B (zero-shot) | #2 | Accuracy: 38.1 |
| multiple-choice-question-answering-mcqa-on-mmlu-elementary-mathematics | Gopher (few-shot, k=5) | #3 | Accuracy: 33.6 |
| multiple-choice-question-answering-mcqa-on-mmlu-elementary-mathematics | BLOOM (few-shot, k=5) | #4 | Accuracy: 27.6 |
| multiple-choice-question-answering-mcqa-on-mmlu-elementary-mathematics | OPT (few-shot, k=5) | #5 | Accuracy: 25.7 |
| multiple-choice-question-answering-mcqa-on-mmlu-formal-logic | Gopher (few-shot, k=5) | #1 | Accuracy: 35.7 |
| multiple-choice-question-answering-mcqa-on-mmlu-formal-logic | Chinchilla (few-shot, k=5) | #2 | Accuracy: 33.3 |
| multiple-choice-question-answering-mcqa-on-mmlu-formal-logic | GAL 120B (zero-shot) | #3 | Accuracy: 32.5 |
| multiple-choice-question-answering-mcqa-on-mmlu-formal-logic | OPT (few-shot, k=5) | #4 | Accuracy: 29.4 |
| multiple-choice-question-answering-mcqa-on-mmlu-formal-logic | BLOOM (few-shot, k=5) | #5 | Accuracy: 26.2 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-biology | Chinchilla (few-shot, k=5) | #1 | Accuracy: 80.3 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-biology | Gopher (few-shot, k=5) | #2 | Accuracy: 71.3 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-biology | GAL 120B (zero-shot) | #3 | Accuracy: 69.4 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-biology | BLOOM (few-shot, k=5) | #4 | Accuracy: 29.4 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-biology | OPT (few-shot, k=5) | #5 | Accuracy: 27.7 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-chemistry | Chinchilla (few-shot, k=5) | #1 | Accuracy: 58.1 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-chemistry | GAL 120B (zero-shot) | #2 | Accuracy: 47.8 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-chemistry | BLOOM (few-shot, k=5) | #3 | Accuracy: 23.2 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-chemistry | OPT (few-shot, k=5) | #4 | Accuracy: 21.7 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-computer-science | GAL 120B (zero-shot) | #1 | Accuracy: 70 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-computer-science | Chinchilla (few-shot, k=5) | #2 | Accuracy: 58 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-computer-science | Gopher (few-shot, k=5) | #3 | Accuracy: 54 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-computer-science | OPT (few-shot, k=5) | #4 | Accuracy: 30 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-computer-science | BLOOM (few-shot, k=5) | #5 | Accuracy: 25 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-mathematics | GAL 120B (zero-shot) | #1 | Accuracy: 32.6 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-mathematics | Chinchilla (few-shot, k=5) | #2 | Accuracy: 31.9 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-mathematics | BLOOM (few-shot, k=5) | #3 | Accuracy: 27 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-mathematics | OPT (few-shot, k=5) | #4 | Accuracy: 24.4 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-mathematics | Gopher (few-shot, k=5) | #5 | Accuracy: 23.7 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-physics | Chinchilla (few-shot, k=5) | #1 | Accuracy: 36.4 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-physics | GAL 120B (zero-shot) | #2 | Accuracy: 33.8 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-physics | OPT (few-shot, k=5) | #3 | Accuracy: 29.8 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-physics | BLOOM (few-shot, k=5) | #4 | Accuracy: 25.2 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-statistics | Chinchilla (few-shot, k=5) | #1 | Accuracy: 58.8 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-statistics | Gopher (few-shot, k=5) | #2 | Accuracy: 50 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-statistics | OPT (few-shot, k=5) | #3 | Accuracy: 43.5 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-statistics | GAL 120B (zero-shot) | #4 | Accuracy: 41.2 |
| multiple-choice-question-answering-mcqa-on-mmlu-high-school-statistics | BLOOM (few-shot, k=5) | #5 | Accuracy: 19.4 |
| multiple-choice-question-answering-mcqa-on-mmlu-machine-learning | Chinchilla (few-shot, k=5) | #1 | Accuracy: 41.1 |
| multiple-choice-question-answering-mcqa-on-mmlu-machine-learning | GAL 120B (zero-shot) | #2 | Accuracy: 38.4 |
| multiple-choice-question-answering-mcqa-on-mmlu-machine-learning | OPT (few-shot, k=5) | #3 | Accuracy: 28.6 |
| multiple-choice-question-answering-mcqa-on-mmlu-machine-learning | BLOOM (few-shot, k=5) | #4 | Accuracy: 25 |
| protein-function-prediction-on-caspsimseq | GAL 120B | #1 | ROUGE-L: 0.252 |
| protein-function-prediction-on-caspsimseq | GAL 30B | #2 | ROUGE-L: 0.137 |
| protein-function-prediction-on-caspsimseq | GAL 6.7B | #3 | ROUGE-L: 0.109 |
| protein-function-prediction-on-caspsimseq | GAL 1.3B | #4 | ROUGE-L: 0.069 |
| protein-function-prediction-on-caspsimseq | GAL 125M | #5 | ROUGE-L: 0.062 |
| protein-function-prediction-on-paenseq | GAL 120B | #1 | ROUGE-L: 0.272 |
| protein-function-prediction-on-paenseq | GAL 30B | #2 | ROUGE-L: 0.196 |
| protein-function-prediction-on-paenseq | GAL 6.7B | #3 | ROUGE-L: 0.137 |
| protein-function-prediction-on-paenseq | GAL 1.3B | #4 | ROUGE-L: 0.084 |
| protein-function-prediction-on-paenseq | GAL 125M | #5 | ROUGE-L: 0.073 |
| protein-function-prediction-on-uniprotseq | GAL 120B | #1 | ROUGE-L: 0.252 |
| protein-function-prediction-on-uniprotseq | GAL 30B | #2 | ROUGE-L: 0.186 |
| protein-function-prediction-on-uniprotseq | GAL 6.7B | #3 | ROUGE-L: 0.111 |
| protein-function-prediction-on-uniprotseq | GAL 1.3B | #4 | ROUGE-L: 0.079 |
| protein-function-prediction-on-uniprotseq | GAL 125M | #5 | ROUGE-L: 0.061 |
| protein-structure-prediction-on-caspseq | GAL 120B | #1 | Validation perplexity: 17.26 |
| protein-structure-prediction-on-caspseq | GAL 30B | #2 | Validation perplexity: 17.27 |
| protein-structure-prediction-on-caspseq | GAL 6.7B | #3 | Validation perplexity: 17.29 |
| protein-structure-prediction-on-caspseq | GAL 1.3B | #4 | Validation perplexity: 17.58 |
| protein-structure-prediction-on-caspseq | GAL 125M | #5 | Validation perplexity: 20.62 |
| protein-structure-prediction-on-caspsimseq | GAL 120B | #1 | Validation perplexity: 12.77 |
| protein-structure-prediction-on-caspsimseq | GAL 30B | #2 | Validation perplexity: 15.42 |
| protein-structure-prediction-on-caspsimseq | GAL 6.7B | #3 | Validation perplexity: 16.35 |
| protein-structure-prediction-on-caspsimseq | GAL 1.3B | #4 | Validation perplexity: 17.04 |
| protein-structure-prediction-on-caspsimseq | GAL 125M | #5 | Validation perplexity: 19.18 |
| protein-structure-prediction-on-paenseq | GAL 120B | #1 | Validation perplexity: 3.14 |
| protein-structure-prediction-on-paenseq | GAL 30B | #2 | Validation perplexity: 4.28 |
| protein-structure-prediction-on-paenseq | GAL 6.7B | #3 | Validation perplexity: 7.76 |
| protein-structure-prediction-on-paenseq | GAL 1.3B | #4 | Validation perplexity: 12.53 |
| protein-structure-prediction-on-paenseq | GAL 125M | #5 | Validation perplexity: 16.35 |
| protein-structure-prediction-on-uniprotseq | GAL 120B | #1 | Validation perplexity: 5.54 |
| protein-structure-prediction-on-uniprotseq | GAL 30B | #2 | Validation perplexity: 8.23 |
| protein-structure-prediction-on-uniprotseq | GAL 6.7B | #3 | Validation perplexity: 11.58 |
| protein-structure-prediction-on-uniprotseq | GAL 1.3B | #4 | Validation perplexity: 15.82 |
| protein-structure-prediction-on-uniprotseq | GAL 125M | #5 | Validation perplexity: 19.05 |
| stereotypical-bias-analysis-on-crows-pairs | GAL 120B | #1 | Gender: 51.9Religion: 51.9Race/Color: 59.9Sexual Orientation: 77.4… |
| molecular-property-prediction-on-hiv-dataset | Uni-Mol | #2 | AUC: 0.808 |
| molecular-property-prediction-on-hiv-dataset | GAL 30B | #7 | AUC: 0.759 |
| molecular-property-prediction-on-hiv-dataset | GAL 120B | #8 | AUC: 0.745 |
| molecular-property-prediction-on-hiv-dataset | GAL 1.3B | #9 | AUC: 0.724 |
| molecular-property-prediction-on-hiv-dataset | GAL 6.7B | #10 | AUC: 0.722 |
| molecular-property-prediction-on-hiv-dataset | GAL 125M | #11 | AUC: 0.702 |
| question-answering-on-bioasq | GAL 120B (zero-shot) | #2 | Accuracy: 94.3 |
| question-answering-on-bioasq | BLOOM (zero-shot) | #4 | Accuracy: 91.4 |
| question-answering-on-bioasq | OPT (zero-shot) | #6 | Accuracy: 81.4 |
| word-sense-disambiguation-on-big-bench-anachronisms | OPT 175B | #3 | Accuracy: 49.1 |
| word-sense-disambiguation-on-big-bench-anachronisms | GAL 120B (few-shot, k=5) | #4 | Accuracy: 48.7 |
| word-sense-disambiguation-on-big-bench-anachronisms | GAL 30B (few-shot, k=5) | #5 | Accuracy: 47.0 |
| word-sense-disambiguation-on-big-bench-anachronisms | BLOOM 176B | #6 | Accuracy: 1.3 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-biology | Chinchilla (few-shot, k=5) | #4 | Accuracy: 79.9 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-biology | Gopher (few-shot, k=5) | #5 | Accuracy: 70.8 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-biology | GAL 120B (zero-shot) | #6 | Accuracy: 68.8 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-biology | OPT (few-shot, k=5) | #7 | Accuracy: 30.6 |
| multiple-choice-question-answering-mcqa-on-mmlu-college-biology | BLOOM (few-shot, k=5) | #8 | Accuracy: 28.5 |
| multiple-choice-question-answering-mcqa-on-mmlu-medical-genetics | GAL 30B (zero-shot) | #4 | Accuracy: 70 |
| multiple-choice-question-answering-mcqa-on-mmlu-medical-genetics | Chinchilla (few-shot, k=5) | #5 | Accuracy: 69 |
| multiple-choice-question-answering-mcqa-on-mmlu-medical-genetics | GAL 120B (zero-shot) | #6 | Accuracy: 68 |
| multiple-choice-question-answering-mcqa-on-mmlu-medical-genetics | BLOOM (few-shot, k=5) | #7 | Accuracy: 36 |
| multiple-choice-question-answering-mcqa-on-mmlu-medical-genetics | OPT (few-shot, k=5) | #8 | Accuracy: 35 |
| molecular-property-prediction-on-tox21 | Uni-Mol | #5 | ROC-AUC: 79.6 |
| molecular-property-prediction-on-tox21 | GAL 120B | #14 | ROC-AUC: 68.9 |
| molecular-property-prediction-on-tox21 | GAL 30B | #15 | ROC-AUC: 68.5 |
| molecular-property-prediction-on-tox21 | GAL 6.7B | #16 | ROC-AUC: 63.9 |
| molecular-property-prediction-on-tox21 | GAL 1.3B | #17 | ROC-AUC: 60.6 |
| molecular-property-prediction-on-tox21 | GAL 125M | #18 | ROC-AUC: 54.3 |
| question-answering-on-truthfulqa | GAL 120B | #7 | MC1: 0.26 |
| question-answering-on-truthfulqa | GAL 30B | #9 | MC1: 0.24 |
| question-answering-on-truthfulqa | OPT 175B | #15 | MC1: 0.21 |
| question-answering-on-truthfulqa | GAL 125M | #18 | MC1: 0.19 |
| question-answering-on-truthfulqa | GAL 1.3B | #19 | MC1: 0.19 |
| question-answering-on-truthfulqa | GAL 6.7B | #20 | MC1: 0.19 |
| bias-detection-on-stereoset | GAL 120B | #8 | ICAT Score: 65.6LMS: 75SS: 56.2 |
| bias-detection-on-stereoset | GPT-3 (text-davinci-002) | #10 | ICAT Score: 60.8LMS: 77.6SS: 60.8 |
| bias-detection-on-stereoset | OPT 175B | #11 | ICAT Score: 60LMS: 74.8SS: 59.9 |
| molecular-property-prediction-on-clintox | GAL 120B | #8 | ROC-AUC: 82.6Molecules (M): 2 |
| molecular-property-prediction-on-clintox | GAL 30B | #9 | ROC-AUC: 82.2Molecules (M): 2 |
| molecular-property-prediction-on-clintox | GAL 6.7B | #12 | ROC-AUC: 78.4Molecules (M): 2 |
| molecular-property-prediction-on-clintox | GAL 1.3B | #16 | ROC-AUC: 58.9Molecules (M): 2 |
| molecular-property-prediction-on-clintox | GAL 125M | #18 | ROC-AUC: 51.8Molecules (M): 2 |
| tdc-admet-benchmarking-group-on-tdcommons | Galactica-GAL-120B | #8 | TDC.BBB_Martins: 0.661 |
| tdc-admet-benchmarking-group-on-tdcommons | Galactica-GAL-1.3B | #9 | TDC.BBB_Martins: 0.604 |
| tdc-admet-benchmarking-group-on-tdcommons | Galactica-GAL-30B | #10 | TDC.BBB_Martins: 0.596 |
| tdc-admet-benchmarking-group-on-tdcommons | Galactica-GAL-6.7B | #11 | TDC.BBB_Martins: 0.535 |
| tdc-admet-benchmarking-group-on-tdcommons | Galactica-GAL-125M | #12 | TDC.BBB_Martins: 0.393 |
| common-sense-reasoning-on-arc-challenge | GAL 120B (zero-shot) | #9 | Accuracy: 67.9 |
| common-sense-reasoning-on-arc-challenge | GPT-3 (zero-shot) | #24 | Accuracy: 51.4 |
| common-sense-reasoning-on-arc-challenge | BLOOM (few-shot, k=5) | #38 | Accuracy: 32.9 |
| common-sense-reasoning-on-arc-challenge | OPT (few-shot, k=5) | #40 | Accuracy: 31.1 |
| molecular-property-prediction-on-sider | GAL 120B | #11 | ROC-AUC: 63.2 |
| molecular-property-prediction-on-sider | GAL 30B | #13 | ROC-AUC: 61.3 |
| molecular-property-prediction-on-sider | GAL 125M | #15 | ROC-AUC: 55.9 |
| molecular-property-prediction-on-sider | GAL 6.7B | #16 | ROC-AUC: 55.9 |
| molecular-property-prediction-on-sider | GAL 1.3B | #17 | ROC-AUC: 54.0 |
| common-sense-reasoning-on-arc-easy | GAL 120B (0-shot) | #12 | Accuracy: 83.8 |
| common-sense-reasoning-on-arc-easy | GPT-3 (zero-shot) | #65 | Accuracy: 68.8 |
| common-sense-reasoning-on-arc-easy | BLOOM (5-shot) | #92 | Accuracy: 40.7 |
| common-sense-reasoning-on-arc-easy | OPT (5-shot) | #95 | Accuracy: 37.4 |
| question-answering-on-pubmedqa | GAL 120B (zero-shot) | #13 | Accuracy: 77.6 |
| question-answering-on-pubmedqa | BLOOM (zero-shot) | #20 | Accuracy: 73.6 |
| question-answering-on-pubmedqa | OPT (zero-shot) | #24 | Accuracy: 70.2 |
| molecular-property-prediction-on-bace | GAL 30B | #15 | ROC-AUC: 72.7 |
| molecular-property-prediction-on-bace | GAL 120B | #16 | ROC-AUC: 61.7 |
| molecular-property-prediction-on-bace | GAL 6.7B | #17 | ROC-AUC: 58.4 |
| molecular-property-prediction-on-bace | GAL 1.3B | #18 | ROC-AUC: 57.6 |
| molecular-property-prediction-on-bace | GAL 125M | #19 | ROC-AUC: 56.1 |
| molecular-property-prediction-on-bbbp | Uni-Mol | #15 | ROC-AUC: 72.9 |
| molecular-property-prediction-on-bbbp | GAL 120B | #23 | ROC-AUC: 66.1 |
| molecular-property-prediction-on-bbbp | GAL 1.3B | #24 | ROC-AUC: 60.4 |
| molecular-property-prediction-on-bbbp | GAL 30B | #25 | ROC-AUC: 59.6 |
| molecular-property-prediction-on-bbbp | GAL 6.7B | #26 | ROC-AUC: 53.5 |
| molecular-property-prediction-on-bbbp | GAL 125M | #27 | ROC-AUC: 39.3 |
| question-answering-on-medqa-usmle | GAL 120B (zero-shot) | #18 | Accuracy: 44.4 |
| question-answering-on-medqa-usmle | BLOOM (few-shot, k=5) | #23 | Accuracy: 23.3 |
| question-answering-on-medqa-usmle | OPT (few-shot, k=5) | #24 | Accuracy: 22.8 |
| multiple-choice-question-answering-mcqa-on-medmcqa | GAL 120B (zero-shot) | #21 | Dev Set (Acc-%): 0.529 |
| multiple-choice-question-answering-mcqa-on-medmcqa | BLOOM (few-shot, k=5) | #25 | Dev Set (Acc-%): 0.325 |
| multiple-choice-question-answering-mcqa-on-medmcqa | OPT (few-shot, k=5) | #26 | Dev Set (Acc-%): 0.296 |
| multi-task-language-understanding-on-mmlu | GAL 120B (zero-shot) | #62 | Average (%): 52.6 |
| math-word-problem-solving-on-math | Minerva 540B (5-shot) mCoT | #130 | Accuracy: 33.6Parameters (Billions): 540 |
| math-word-problem-solving-on-math | GAL 120B (5-shot) mCoT | #161 | Accuracy: 20.4Parameters (Billions): 120 |
| math-word-problem-solving-on-math | GAL 120B <work> | #166 | Accuracy: 16.6Parameters (Billions): 120 |
| math-word-problem-solving-on-math | GAL 30B (5-shot) mCoT | #173 | Accuracy: 12.7Parameters (Billions): 30 |
| math-word-problem-solving-on-math | GAL 30B <work> | #176 | Accuracy: 11.4Parameters (Billions): 30 |
| math-word-problem-solving-on-math | PaLM 540B (5-shot) mCoT | #181 | Accuracy: 8.8Parameters (Billions): 540 |
| math-word-problem-solving-on-math | GPT-3 175B (8-shot) | #193 | Accuracy: 5.2Parameters (Billions): 175 |