Additional Campus Affiliations
Professor, Siebel School of Computing and Data Science
Professor, Coordinated Science Lab
Professor, Linguistics
Professor, Center for Digital Agriculture, National Center for Supercomputing Applications (NCSA)
Recent Publications
Huang, J., Madala, S., Sidhu, R., Niu, C., Peng, H., Hockenmaier, J., & Zhang, T. (2026). Tackling Distractor Documents in Multi-Hop QA with Reinforcement and Curriculum Learning. In 19th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2026 (pp. 5548-5561). (19th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2026). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2026.findings-eacl.294
Jayannavar, P., Ren, L., Hudspeth, M., Sidhu, R., Lambert, C., Cordes, A., Kaplan, E., Narayan-Chen, A., & Hockenmaier, J. (2026). BAP v2: An Enhanced Task Framework for Instruction Following in Minecraft Dialogues. Computational Linguistics. Advance online publication. https://doi.org/10.1162/COLI.a.602
Cho, I., Kwon, G., & Hockenmaier, J. (2025). On the Versatility of Sparse Autoencoders for In-Context Learning. In C. Christodoulopoulos, T. Chakraborty, C. Rose, & V. Peng (Eds.), EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025 (pp. 19531-19538). (EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2025.findings-emnlp.1063
Cho, I., Park, C., & Hockenmaier, J. (2025). The Power of Bullet Lists: A Simple Yet Effective Prompting Approach to Enhancing Spatial Reasoning in Large Language Models. In L. Chiruzzo, A. Ritter, & L. Wang (Eds.), 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Proceedings of the Conference Findings, NAACL 2025 (pp. 3047-3057). (2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Proceedings of the Conference Findings, NAACL 2025). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2025.findings-naacl.166
Haldar, R., & Hockenmaier, J. (2025). Rating Roulette: Self-Inconsistency in LLM-As-A-Judge Frameworks. In C. Christodoulopoulos, T. Chakraborty, C. Rose, & V. Peng (Eds.), EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025 (pp. 24986-25004). (EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2025.findings-emnlp.1361