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YuHong Sun

3 accepted papers

2025

Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework

EMNLP 2025

Large Language Models (LLMs) have demonstrated remarkable capabilities across various domains. Math Word Problems (MWPs) serve as a crucial benchmark for evaluating LLMs’ reasoning abilities. While most research primarily focuses on improving accuracy, it often neglects understanding and addressing

Cited by 0SourcePDFScholar
2024

Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem

COLING 2024main

Large language models (LLMs) are highly effective in various natural language processing (NLP) tasks. However, they are susceptible to producing unreliable conjectures in ambiguous contexts called hallucination. This paper presents a new method for evaluating LLM hallucination in Question Answering…

2024

Research on bionic foldable wing for flapping wing micro air vehicle

ICRA 2024poster

This paper presents a bionic foldable wing that imitates the hind wing of ladybirds. Based on the folding mechanism of the hind wing of ladybirds and the theory of origami, the motion model of the bionic foldable wing is established, yield the motion law of the crease angles and the variation relati…

Cited by 0SourceScholar