Accepted by ACL 2025 (Main)
Paper Link: our paper
The datasets(raw and filtered) are stored in folder ./data/data_cheating_filtered.py is the final version.
"流行词名字": {
"examples": "例句",
"definition": "定义",
"ground_truth": "流行词介绍",
"Gemini_15_pro_KEY": "Gemini 1.5 Pro对该词的定义(没有使用例句的情况)",
"Gemini_15_flash_KEY": "Gemini 1.5 Flash对该词的定义(没有使用例句的情况)",
"Qwen2_7b_KEY": "Qwen2 7b对该词的定义(没有使用例句的情况)",
"Qwen2_72b_KEY": "Qwen2 72b对该词的定义(没有使用例句的情况)"
"GPT_4o_KEY": "GPT_4o对该词的定义(没有使用例句的情况)",
"GPT_4o_mini_KEY": "GPT_4o_mini对该词的定义(没有使用例句的情况)",
"Gemini_15_pro_KEY_score": "LLM对Gemini_15_pro_KEY定义的评价",
"Gemini_15_flash_KEY_score": "LLM对Gemini_15_flash_KEY定义的评价",
"Qwen2_7b_KEY_score": "LLM对Qwen2_7b_KEY定义的评价",
"Qwen2_72b_KEY_score": "LLM对Qwen2_72b_KEY定义的评价",
"GPT_4o_KEY_score": "LLM对GPT_4o_KEY定义的评价",
"GPT_4o_mini_KEY_score": "LLM对GPT_4o_mini_KEY定义的评价",
}./main.py: Entry point and framework of our algorithm.
./dataUtil.py Used to process the raw data and load data
./ToolUtil.py Contains code for evaluation
./Agent LLM agents
./baselines Code for Focus
./classifier_and_its_attachments Code for sentence method "waus"(see appendix)
./data Stores our dataset(raw and filtered)
python main.py
sentence_method: "all", "random", "waus", "gdex"
backbone_method: "Qwen/Qwen2-7B-Instruct", "Qwen/Qwen2-72B-Instruct", "gpt-4o", "gpt-4o-mini"
top_k: 50 by default
If you make advantage of our paper, please cite the following in your manuscript:
@inproceedings{buzz2025huang,
title={Can Large Language Models Understand Internet Buzzwords Through User-Generated Content},
author={Chen Huang, Junkai Luo, Xinzuo Wang, Wenqiang Lei, Jiancheng Lv},
booktitle = {Annual Meeting of the Association for Computational Linguistics},
year = {2025}
}



