An End-to-End System for Culturally-Attuned Driving Feedback using a Dual-Component NLG Engine 2026 Thompson, I. P., Yi, D., Reiter, E. Chapters in Books, Reports and Conference Proceedings: Conference Proceedings Digital Object Identifier https://doi.org/10.1109/ICCC68654.2025.11438241
Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation 2026 - Accepted/In press Li, R., Chen, C., Hu, Y., Gao, Y., Wang, X., Yilmaz, E. Contributions to Conferences: Papers Digital Object Identifier https://doi.org/10.48550/arXiv.2505.16415
DFWe: Efficient Knowledge Distillation of Fine-tuned Whisper Encoder for Speech Emotion Recognition 2026 - E-pub ahead of print Ma, Y., Jiang, X., Sang, J., Li, R. Pattern Recognition Contributions to Journals: Articles Online https://www.sciencedirect.com/science/article/pii/S0031320326001263 Digital Object Identifier https://doi.org/10.1016/j.patcog.2026.113161
Behind the Scenes: Mechanistic Interpretability of LoRA-adapted Whisper for Speech Emotion Recognition 2026 - Accepted/In press Ma, Y., Lu, X., Sang, J., Jiang, X., Li, R. Contributions to Conferences: Papers Digital Object Identifier https://doi.org/10.48550/arXiv.2509.08454
We Should Evaluate Real-World Impact 2025 Reiter, E. Computational Linguistics, vol. 51, no. 4, pp. 1419-1431 Contributions to Journals: Articles Digital Object Identifier https://doi.org/10.1162/COLI.a.18 Open Access http://aura.abdn.ac.uk/bitstreams/81172c7e-a840-4ebc-a35f-3755ee8914ca/download
FADERec: Fine-Grained Attribute Distillation Enhanced by Collaborative Fusion for LLM-Based Recommendation 2025 Xu, M., Li, R., Deng, H., Zeng, B. Chapters in Books, Reports and Conference Proceedings: Conference Proceedings Digital Object Identifier https://doi.org/10.1007/978-981-95-3343-5_45 Additional Links Springer ShareIt! Link
Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework 2025 - Accepted/In press Wu, J., Wu, Z., Li, R., Chen, T., Hasan, A., Kim, Y., Cheung, J. P., Zhang, T., Wu, H. Contributions to Conferences: Papers Digital Object Identifier https://doi.org/10.48550/arXiv.2406.15045
Evolving Stances on Reproducibility: A Longitudinal Study of NLP and ML Researchers' Views and Experience of Reproducibility 2025 Thomson, C., Reiter, E., Sedoc, J., Belz, A. Chapters in Books, Reports and Conference Proceedings: Conference Proceedings Online https://aclanthology.org/2025.findings-emnlp.1404/ Digital Object Identifier https://doi.org/10.18653/v1/2025.findings-emnlp.1404 Open Access http://aura.abdn.ac.uk/bitstreams/b8a7b851-616d-44f6-94c6-7f0543f23527/download
Leveraging Large Language Models Knowledge Enhancement Dual-Stage Fine-Tuning Framework for Recommendation 2025 Zeng, B., Shi, H., Li, Y., Li, R., Deng, H. Chapters in Books, Reports and Conference Proceedings: Conference Proceedings Digital Object Identifier https://doi.org/10.1007/978-981-97-9434-8_26 Additional Links Read only PDF provided by the Springer Nature SharedIt content-sharing initiative
Explaining Bayesian Networks Reasoning to the General Public: Insights from the User Study 2025 Babakov, N., Reiter, E., Bugarín, A. Chapters in Books, Reports and Conference Proceedings: Conference Proceedings Online https://ceur-ws.org/Vol-4061/paper3.pdf Open Access http://aura.abdn.ac.uk/bitstreams/2f7b7461-5159-4fc6-b5ee-77d793148462/download