Professor of Computer Science

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

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

Lee, J., Liu, Q., Ma, R., Han, V., Wang, Z., Ji, H., & Hockenmaier, J. (2025). Entailment-Preserving First-order Logic Representations in Natural Language Entailment. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (Eds.), Long Papers (pp. 5729-5742). (Proceedings of the Annual Meeting of the Association for Computational Linguistics; Vol. 1). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2025.acl-long.286

Lee, J., & Hockenmaier, J. (2025). Evaluating Step-by-step Reasoning Traces: A Survey. 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. 1789-1814). (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.94

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