Papers by Zhenjie Sun

2 papers
Chumor 2.0: Towards Better Benchmarking Chinese Humor Understanding from (Ruo Zhi Ba) (2025.findings-acl)

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Challenge: Existing studies on humor in non-English languages lack culturally nuanced humor in other languages.
Approach: They construct a Chinese humor explanation dataset using a reddit-like platform . they test ten LLMs and find they are significantly better than existing LLM models .
Outcome: The proposed dataset is the first and largest Chinese humor explanation dataset.
Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs (2024.findings-acl)

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Challenge: Recent years have witnessed an explosion of Large Language Models (LLMs), with impressive performance on various NLP tasks.
Approach: They propose to use image-based representations to compare LLMs' performance on table-related tasks such as question-answering and fact-checking to determine their effectiveness.
Outcome: The proposed model performs better on image-based representations than on text-based models.

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