{"task":"Math Word Problem Solving","dataset":"ALG514","metric_names":["Accuracy (%)"],"rows":[{"id":25413,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"MixedSP","metrics":{"Accuracy (%)":"83"},"paper_url":"https://aclanthology.org/D16-1029","paper_title":"Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems","paper_date":"2016-11-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":25414,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"GEO","metrics":{"Accuracy (%)":"82.1"},"paper_url":"https://aclanthology.org/2020.coling-main.38","paper_title":"Generating Equation by Utilizing Operators : GEO model","paper_date":"2020-12-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":25415,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"EPT","metrics":{"Accuracy (%)":"81.31"},"paper_url":"https://aclanthology.org/2020.emnlp-main.308","paper_title":"Point to the Expression: Solving Algebraic Word Problems using the Expression-Pointer Transformer Model","paper_date":null,"code_links":[{"title":"snucclab/EPT","url":"https://github.com/snucclab/EPT"}],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":25416,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"ZDC","metrics":{"Accuracy (%)":"79.7"},"paper_url":"https://aclanthology.org/D17-1088","paper_title":"Deep Neural Solver for Math Word Problems","paper_date":"2017-09-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":25417,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"liblinear-QP","metrics":{"Accuracy (%)":"79.7"},"paper_url":"https://aclanthology.org/D15-1096","paper_title":"Learn to Solve Algebra Word Problems Using Quadratic Programming","paper_date":"2015-09-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":25418,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"EPT","metrics":{"Accuracy (%)":"73.91"},"paper_url":"https://aclanthology.org/2022.acl-long.305","paper_title":"EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers","paper_date":null,"code_links":[{"title":"snucclab/ept-x","url":"https://github.com/snucclab/ept-x"}],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":25419,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"SIM","metrics":{"Accuracy (%)":"71.2"},"paper_url":"https://aclanthology.org/P16-1084","paper_title":"How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation","paper_date":"2016-08-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":25420,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"ALLEQ","metrics":{"Accuracy (%)":"68.7"},"paper_url":"https://aclanthology.org/P14-1026","paper_title":"Learning to Automatically Solve Algebra Word Problems","paper_date":"2014-06-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":25421,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"EPT-X","metrics":{"Accuracy (%)":"67.07"},"paper_url":"https://aclanthology.org/2022.acl-long.305","paper_title":"EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers","paper_date":null,"code_links":[{"title":"snucclab/ept-x","url":"https://github.com/snucclab/ept-x"}],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":25422,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"SAU-Solver","metrics":{"Accuracy (%)":"57.39"},"paper_url":"https://arxiv.org/abs/2010.06823v1","paper_title":"Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems","paper_date":"2020-10-14","code_links":[{"title":"QinJinghui/SAU-Solver","url":"https://github.com/QinJinghui/SAU-Solver"}],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":94991,"task":"Math Word Problem Solving","parent_task":null,"dataset":"ALG514","model_name":"MixedSP","metrics":{"Accuracy (%)":"83"},"paper_url":"https://aclanthology.org/D16-1029","paper_title":"Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems","paper_date":"2016-11-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":94992,"task":"Math Word Problem Solving","parent_task":null,"dataset":"ALG514","model_name":"GEO","metrics":{"Accuracy (%)":"82.1"},"paper_url":"https://aclanthology.org/2020.coling-main.38","paper_title":"Generating Equation by Utilizing Operators : GEO model","paper_date":"2020-12-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":94993,"task":"Math Word Problem Solving","parent_task":null,"dataset":"ALG514","model_name":"EPT","metrics":{"Accuracy (%)":"81.31"},"paper_url":"https://aclanthology.org/2020.emnlp-main.308","paper_title":"Point to the Expression: Solving Algebraic Word Problems using the Expression-Pointer Transformer Model","paper_date":null,"code_links":[{"title":"snucclab/EPT","url":"https://github.com/snucclab/EPT"}],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":94994,"task":"Math Word Problem Solving","parent_task":null,"dataset":"ALG514","model_name":"ZDC","metrics":{"Accuracy (%)":"79.7"},"paper_url":"https://aclanthology.org/D17-1088","paper_title":"Deep Neural Solver for Math Word Problems","paper_date":"2017-09-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":94995,"task":"Math Word Problem Solving","parent_task":null,"dataset":"ALG514","model_name":"liblinear-QP","metrics":{"Accuracy (%)":"79.7"},"paper_url":"https://aclanthology.org/D15-1096","paper_title":"Learn to Solve Algebra Word Problems Using Quadratic Programming","paper_date":"2015-09-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":94996,"task":"Math Word Problem Solving","parent_task":null,"dataset":"ALG514","model_name":"EPT","metrics":{"Accuracy (%)":"73.91"},"paper_url":"https://aclanthology.org/2022.acl-long.305","paper_title":"EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers","paper_date":null,"code_links":[{"title":"snucclab/ept-x","url":"https://github.com/snucclab/ept-x"}],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":94997,"task":"Math Word Problem Solving","parent_task":null,"dataset":"ALG514","model_name":"SIM","metrics":{"Accuracy (%)":"71.2"},"paper_url":"https://aclanthology.org/P16-1084","paper_title":"How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation","paper_date":"2016-08-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":94998,"task":"Math Word Problem Solving","parent_task":null,"dataset":"ALG514","model_name":"ALLEQ","metrics":{"Accuracy (%)":"68.7"},"paper_url":"https://aclanthology.org/P14-1026","paper_title":"Learning to Automatically Solve Algebra Word Problems","paper_date":"2014-06-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":94999,"task":"Math Word Problem Solving","parent_task":null,"dataset":"ALG514","model_name":"EPT-X","metrics":{"Accuracy (%)":"67.07"},"paper_url":"https://aclanthology.org/2022.acl-long.305","paper_title":"EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers","paper_date":null,"code_links":[{"title":"snucclab/ept-x","url":"https://github.com/snucclab/ept-x"}],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":95000,"task":"Math Word Problem Solving","parent_task":null,"dataset":"ALG514","model_name":"SAU-Solver","metrics":{"Accuracy (%)":"57.39"},"paper_url":"https://arxiv.org/abs/2010.06823v1","paper_title":"Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems","paper_date":"2020-10-14","code_links":[{"title":"QinJinghui/SAU-Solver","url":"https://github.com/QinJinghui/SAU-Solver"}],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":112237,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"MixedSP","metrics":{"Accuracy (%)":"83"},"paper_url":"https://aclanthology.org/D16-1029","paper_title":"Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems","paper_date":"2016-11-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":112238,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"GEO","metrics":{"Accuracy (%)":"82.1"},"paper_url":"https://aclanthology.org/2020.coling-main.38","paper_title":"Generating Equation by Utilizing Operators : GEO model","paper_date":"2020-12-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":112239,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"EPT","metrics":{"Accuracy (%)":"81.31"},"paper_url":"https://aclanthology.org/2020.emnlp-main.308","paper_title":"Point to the Expression: Solving Algebraic Word Problems using the Expression-Pointer Transformer Model","paper_date":null,"code_links":[{"title":"snucclab/EPT","url":"https://github.com/snucclab/EPT"}],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":112240,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"ZDC","metrics":{"Accuracy (%)":"79.7"},"paper_url":"https://aclanthology.org/D17-1088","paper_title":"Deep Neural Solver for Math Word Problems","paper_date":"2017-09-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":112241,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"liblinear-QP","metrics":{"Accuracy (%)":"79.7"},"paper_url":"https://aclanthology.org/D15-1096","paper_title":"Learn to Solve Algebra Word Problems Using Quadratic Programming","paper_date":"2015-09-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":112242,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"EPT","metrics":{"Accuracy (%)":"73.91"},"paper_url":"https://aclanthology.org/2022.acl-long.305","paper_title":"EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers","paper_date":null,"code_links":[{"title":"snucclab/ept-x","url":"https://github.com/snucclab/ept-x"}],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":112243,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"SIM","metrics":{"Accuracy (%)":"71.2"},"paper_url":"https://aclanthology.org/P16-1084","paper_title":"How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation","paper_date":"2016-08-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":112244,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"ALLEQ","metrics":{"Accuracy (%)":"68.7"},"paper_url":"https://aclanthology.org/P14-1026","paper_title":"Learning to Automatically Solve Algebra Word Problems","paper_date":"2014-06-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":112245,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"EPT-X","metrics":{"Accuracy (%)":"67.07"},"paper_url":"https://aclanthology.org/2022.acl-long.305","paper_title":"EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers","paper_date":null,"code_links":[{"title":"snucclab/ept-x","url":"https://github.com/snucclab/ept-x"}],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":112246,"task":"Math Word Problem Solving","parent_task":"Mathematical Question Answering","dataset":"ALG514","model_name":"SAU-Solver","metrics":{"Accuracy (%)":"57.39"},"paper_url":"https://arxiv.org/abs/2010.06823v1","paper_title":"Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems","paper_date":"2020-10-14","code_links":[{"title":"QinJinghui/SAU-Solver","url":"https://github.com/QinJinghui/SAU-Solver"}],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":120586,"task":"Math Word Problem Solving","parent_task":"Mathematical Reasoning","dataset":"ALG514","model_name":"MixedSP","metrics":{"Accuracy (%)":"83"},"paper_url":"https://aclanthology.org/D16-1029","paper_title":"Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems","paper_date":"2016-11-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":120587,"task":"Math Word Problem Solving","parent_task":"Mathematical Reasoning","dataset":"ALG514","model_name":"GEO","metrics":{"Accuracy (%)":"82.1"},"paper_url":"https://aclanthology.org/2020.coling-main.38","paper_title":"Generating Equation by Utilizing Operators : GEO model","paper_date":"2020-12-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":120588,"task":"Math Word Problem Solving","parent_task":"Mathematical Reasoning","dataset":"ALG514","model_name":"EPT","metrics":{"Accuracy (%)":"81.31"},"paper_url":"https://aclanthology.org/2020.emnlp-main.308","paper_title":"Point to the Expression: Solving Algebraic Word Problems using the Expression-Pointer Transformer Model","paper_date":null,"code_links":[{"title":"snucclab/EPT","url":"https://github.com/snucclab/EPT"}],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":120589,"task":"Math Word Problem Solving","parent_task":"Mathematical Reasoning","dataset":"ALG514","model_name":"ZDC","metrics":{"Accuracy (%)":"79.7"},"paper_url":"https://aclanthology.org/D17-1088","paper_title":"Deep Neural Solver for Math Word Problems","paper_date":"2017-09-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":120590,"task":"Math Word Problem Solving","parent_task":"Mathematical Reasoning","dataset":"ALG514","model_name":"liblinear-QP","metrics":{"Accuracy (%)":"79.7"},"paper_url":"https://aclanthology.org/D15-1096","paper_title":"Learn to Solve Algebra Word Problems Using Quadratic Programming","paper_date":"2015-09-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":120591,"task":"Math Word Problem Solving","parent_task":"Mathematical Reasoning","dataset":"ALG514","model_name":"EPT","metrics":{"Accuracy (%)":"73.91"},"paper_url":"https://aclanthology.org/2022.acl-long.305","paper_title":"EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers","paper_date":null,"code_links":[{"title":"snucclab/ept-x","url":"https://github.com/snucclab/ept-x"}],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":120592,"task":"Math Word Problem Solving","parent_task":"Mathematical Reasoning","dataset":"ALG514","model_name":"SIM","metrics":{"Accuracy (%)":"71.2"},"paper_url":"https://aclanthology.org/P16-1084","paper_title":"How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation","paper_date":"2016-08-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":120593,"task":"Math Word Problem Solving","parent_task":"Mathematical Reasoning","dataset":"ALG514","model_name":"ALLEQ","metrics":{"Accuracy (%)":"68.7"},"paper_url":"https://aclanthology.org/P14-1026","paper_title":"Learning to Automatically Solve Algebra Word Problems","paper_date":"2014-06-01","code_links":[],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":120594,"task":"Math Word Problem Solving","parent_task":"Mathematical Reasoning","dataset":"ALG514","model_name":"EPT-X","metrics":{"Accuracy (%)":"67.07"},"paper_url":"https://aclanthology.org/2022.acl-long.305","paper_title":"EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers","paper_date":null,"code_links":[{"title":"snucclab/ept-x","url":"https://github.com/snucclab/ept-x"}],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]},{"id":120595,"task":"Math Word Problem Solving","parent_task":"Mathematical Reasoning","dataset":"ALG514","model_name":"SAU-Solver","metrics":{"Accuracy (%)":"57.39"},"paper_url":"https://arxiv.org/abs/2010.06823v1","paper_title":"Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems","paper_date":"2020-10-14","code_links":[{"title":"QinJinghui/SAU-Solver","url":"https://github.com/QinJinghui/SAU-Solver"}],"metrics_order":"[\"Accuracy (%)\"]","area":"Reasoning","uses_additional_data":0,"source":"archive","tags":[]}]}