Feb. 28, 2024, 5:49 a.m. | Debrup Das, Debopriyo Banerjee, Somak Aditya, Ashish Kulkarni

cs.CL updates on arXiv.org arxiv.org

arXiv:2402.17231v1 Announce Type: new
Abstract: Tool-augmented Large Language Models (TALM) are known to enhance the skillset of large language models (LLM), thereby, leading to their improved reasoning abilities across many tasks. While, TALMs have been successfully employed in different question-answering benchmarks, their efficacy on complex mathematical reasoning benchmarks, and the potential complimentary benefits offered by tools for knowledge retrieval and mathematical equation solving, are open research questions. In this work, we present MATHSENSEI, a tool-augmented large language model for mathematical …

arxiv cs.cl language language model large language large language model mathematical reasoning reasoning tool type

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