Papers by Yilun Zheng
TAIL: A Toolkit for Automatic and Realistic Long-Context Large Language Model Evaluation (2024.emnlp-demo)
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| Challenge: | Existing evaluation methods for long-context large language models are overly simplistic and require extensive human annotations. |
| Approach: | They propose an automatic toolkit to create realistic evaluation benchmarks . they use a document-grounded benchmark to generate question-answer pairs . |
| Outcome: | The proposed toolkit provides a way to create realistic evaluation benchmarks and visualize performance metrics of evaluated models. |
FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis (2025.findings-acl)
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Yilun Zheng, Sha Li, Fangkun Wu, Yang Ziyi, Lin Hongchao, Zhichao Hu, Cai Xinjun, Ziming Wang, Jinxuan Chen, Sitao Luan, Jiahao Xu, Lihui Chen
| Challenge: | Parody is an emerging phenomenon on social media, where individuals imitate a role or position opposite to their own . limited available data and deficient diversity in current datasets hinder study of parody . |
| Approach: | They build a dataset of parody users and annotated comments from both English and Chinese corpora to test parody detection and comment sentiment analysis. |
| Outcome: | The proposed datasets provide richer contextual information, which is lacking in existing datasets. |