mathematical reasoning

MAmmoTH2: Scaling Instructions from the Web NeurIPS 2024 MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning ICLR 2024 MARIO: MAth Reasoning with code Interpreter Output - A Reproducible Pipeline ACL 2024 Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models ACL 2024 Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models EMNLP 2024 MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark ACL 2024 MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning ICLR 2024 MathFish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula EMNLP 2024 MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs ACL 2024 Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models EMNLP 2024 MathPile: A Billion-Token-Scale Pretraining Corpus for Math NeurIPS 2024 MathScale: Scaling Instruction Tuning for Mathematical Reasoning ICML 2024 MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning NAACL 2024 Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations ACL 2024 MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts ICLR 2024 mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models ACL 2024 Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset NeurIPS 2024 Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving NeurIPS 2024 MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models ICLR 2024 MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning COLING 2024 MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning ACL 2024 Multi-language Diversity Benefits Autoformalization NeurIPS 2024 MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning EMNLP 2024 MuMath: Multi-perspective Data Augmentation for Mathematical Reasoning in Large Language Models NAACL 2024 MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data ICLR 2024