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20232025
most citedMalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education

2 citations · 2 across the 3 of their papers we have counts for

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cs.CL2024★ 2 cited

MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education

Naiming Liu, Shashank Sonkar, Myco Le +1

This paper introduces MalAlgoQA, a novel dataset designed to evaluate the counterfactual reasoning capabilities of Large Language Models (LLMs) through a pedagogical approach. The…

cs.CL2023

Code Soliloquies for Accurate Calculations in Large Language Models

Shashank Sonkar, MyCo Le, Xinghe Chen +3

High-quality conversational datasets are crucial for the successful development of Intelligent Tutoring Systems (ITS) that utilize a Large Language Model (LLM) backend. Synthetic s…