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Papers
Thesis proposal: Are We Losing Textual Diversity to Natural Language Processing?
EACL 2026
Avoidance Decoding for Diverse Multi-Branch Story Generation
EMNLP 2025
GUARD: Glocal Uncertainty-Aware Robust Decoding for Effective and Efficient Open-Ended Text Generation
EMNLP 2025
Standardizing the Measurement of Text Diversity: A Tool and Comparative Analysis
IJCNLP 2025
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models
EMNLP 2024
Detection and Measurement of Syntactic Templates in Generated Text
EMNLP 2024
Evaluating Diversity in Automatic Poetry Generation
EMNLP 2024
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning
EMNLP 2024
Towards Better Hierarchical Text Classification with Data Generation
ACL 2023
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention
EMNLP 2022
ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation
EACL 2021
Fˆ2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax
EMNLP 2020
Mark-Evaluate: Assessing Language Generation using Population Estimation Methods
COLING 2020
Meeting the 2020 Duolingo Challenge on a Shoestring
ACL 2020
On the Importance of Diversity in Question Generation for QA
ACL 2020
Diversifying Reply Suggestions Using a Matching-Conditional Variational Autoencoder
NAACL 2019
Unifying Human and Statistical Evaluation for Natural Language Generation
NAACL 2019