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Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks
April 23, 2024, 4:49 a.m. | Avinash Anand, Mohit Gupta, Kritarth Prasad, Navya Singla, Sanjana Sanjeev, Jatin Kumar, Adarsh Raj Shivam, Rajiv Ratn Shah
cs.CL updates on arXiv.org arxiv.org
Abstract: The rapid progress in the field of natural language processing (NLP) systems and the expansion of large language models (LLMs) have opened up numerous opportunities in the field of education and instructional methods. These advancements offer the potential for tailored learning experiences and immediate feedback, all delivered through accessible and cost-effective services. One notable application area for this technological advancement is in the realm of solving mathematical problems. Mathematical problem-solving not only requires the ability …
abstract arxiv cs.ai cs.cl education expansion feedback language language models language processing large language large language models llms natural natural language natural language processing nlp opportunities processing progress systems tasks type
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