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cs.CL2026

Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation

Katelyn Xiaoying Mei, Yi-Li Hsu, Minjoon Choi +5

Human evaluation plays a critical role in assessing the quality of generated text. However, the reliability and reproducibility of these evaluations depend on transparent and well-…

cs.CL2025

Leveraging Hierarchical Organization for Medical Multi-document Summarization

Yi-Li Hsu, Katelyn X. Mei, Lucy Lu Wang

Medical multi-document summarization (MDS) is a complex task that requires effectively managing cross-document relationships. This paper investigates whether incorporating hierarch…

cs.CL2025

Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023

Ting-Yao E. Hsu, Yi-Li Hsu, Shaurya Rohatgi +8

Since the SciCap datasets launch in 2021, the research community has made significant progress in generating captions for scientific figures in scholarly articles. In 2023, the fir…

cs.CL20232 cited

Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term

Yi-Li Hsu, Shih-Chieh Dai, Aiping Xiong +1

With advancements in natural language processing (NLP) models, automatic explanation generation has been proposed to mitigate misinformation on social media platforms in addition t…

cs.CL2023

Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification

Chih-Yao Chen, Tun-Min Hung, Yi-Li Hsu +1

Fine-grained emotion classification (FEC) is a challenging task. Specifically, FEC needs to handle subtle nuance between labels, which can be complex and confusing. Most existing m…