A Survey of Question Answering for Math and Science Problem
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Abstract (arXiv)
Turing test was long considered the measure for artificial intelligence. But with the advances in AI, it has proved to be insufficient measure. We can now aim to mea- sure machine intelligence like we measure human intelligence. One of the widely accepted measure of intelligence is standardized math and science test. In this paper, we explore the progress we have made towards the goal of making a machine smart enough to pass the standardized test. We see the challenges and opportunities posed by the domain, and note that we are quite some ways from actually making a system as smart as a even a middle school scholar.
Key facts. Cited by 4 papers in the map (data through 13 Oct 2026). First posted on arXiv 10 May 2017.
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Citing papers per year: 2022: 1; 2023: 2; 2024: 1.
4 papers.
- 2023WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instructcited by 621
- 2022A Survey of Deep Learning for Mathematical Reasoningcited by 124
- 2024AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decompositioncited by 24
- 2023No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Functioncited by 20
- 2024AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition18 Feb 2024
- 2023No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function1 Sep 2023
- 2023WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct18 Aug 2023
- 2022A Survey of Deep Learning for Mathematical Reasoning20 Dec 2022