Xiaoying Song

Research Interests

Human AI collaboration, Natural Language Processing

Publications

1. Song, X., Luo, P., Thomale, J., Zavalina, O., & Hong, L. (2026). Comparative analysis of large language models’ performance in book classification tasks using the Library of Congress Classification system. Journal of Information Science, 01655515261425547.

2. Song, X., Anik, A. S., Barua, D., Luo, P., Ding, J., & Hong, L. (2025, November). Speaking at the Right Level: Literacy-Controlled Counterspeech Generation with RAG-RL. In Findings of the Association for Computational Linguistics: EMNLP 2025 (pp. 2812-2830).

3. Song, X., Anik, A. S., Blanco, E., Frias-Martinez, V., & Hong, L. (2025, November). A Dynamic Fusion Model for Consistent Crisis Response. In Findings of the Association for Computational Linguistics: EMNLP 2025 (pp. 2753-2768).

4. Song, X., Perez, S. L., Yu, X., Blanco, E., & Hong, L. (2025, April). Echoes of discord: Forecasting hater reactions to counterspeech. In Findings of the Association for Computational Linguistics: NAACL 2025 (pp. 4892-4905).

5. Song, X., Mamidisetty, S., Blanco, E., & Hong, L. (2025, January). Assessing the human likeness of AI-generated counterspeech. In Proceedings of the 31st International Conference on Computational Linguistics (pp. 3547-3559).

6. Liu, J., Song, X., Zhang, D., Thomale, J., He, D., & Hong, L. (2025). A Hybrid Framework for Subject Analysis: Integrating Embedding‐Based Regression Models with Large Language Models. Proceedings of the Association for Information Science and Technology, 62(1), 445-457.

7. Anik, A. S., Song, X., Wang, E., Wang, B., Yarimbas, B., & Hong, L. Multi-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health Misinformation. In Second Conference on Language Modeling.

8. Hong, L., Song, X., Anik, A. S., & Frias-Martinez, V. (2025, May). Dynamic fusion of large language models for crisis communication. In Proceedings of the International ISCRAM Conference.

9. Perez, S. L., Song, X., & Hong, L. (2025). Analyzing the language of rejection: a study of user flagging responses to hate speech on Reddit. Information Research, an international electronic journal, 30(iConf), 815-823.

10. Hong, L., Luo, P., Blanco, E., & Song, X. (2024, November). Outcome-constrained large language models for countering hate speech. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (pp. 4523-4536).