ETM: Modern Insights into Perspective on Text-to-SQL Evaluation in the Age of Large Language Models. Ascoli, B. G.; Kandikonada, R.; and Choi, J. D. arXiv, 2025.

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TRUST: An LLM-Based Dialogue System for Trauma Understanding and Structured Assessments. Tu, S.; Powers, A.; Doogan, S.; and Choi, J. D. arXiv, 2025.

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Secure Multifaceted-RAG: Hybrid Knowledge Retrieval with Security Filtering. Choi, N.; Byun, G.; Chung, A.; Paek, E. S.; Lee, S.; and Choi, J. D. arXiv, 2025.

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Reference-Aligned Retrieval-Augmented Question Answering over Heterogeneous Proprietary Documents. Byun, G.; Lee, S.; Choi, N.; and Choi, J. D. arXiv, 2025.

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Generative Induction of Dialogue Task Schemas with Streaming Refinement and Simulated Interactions. Finch, J. D.; Josyula, Y.; and Choi, J. D. Transactions of the Association for Computational Linguistics (TACL), 2025.

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Beyond Linear Digital Reading: An LLM-Powered Concept Mapping Approach for Reducing Cognitive Load. Han, J. and Choi, J. D. Proceedings of the ACL Workshop on Innovative Use of NLP for Building Educational Applications, 13 pages, 2025.

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Finding A Voice: Exploring the Potential of African American Dialect and Voice Generation for Chatbots. Finch S. E.; Paek, E. S.; and Choi, J. D. Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2025.

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D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Models. Byun G. and Choi, J. D. Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL): Findings, 2025.

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Leveraging Explicit Reasoning for Inference Integration in Commonsense-Augmented Dialogue Models. S. E. Finch and Choi, J. D. Proceedings of the International Conference on Computational Linguistics (COLING), 2025.

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Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Tracking. Finch, J. D.; and Choi, J. D. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, 2024.

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Identifying Factual Inconsistencies in Summaries: Grounding Model Inference via Task Taxonomy. Xu, L.; Su, Z.; Yu, Mo.l Xu, J.; Choi, J. D.; Zhou, J. and Liu, F. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, 2024.

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Enhancing Task-oriented Dialogue Systems Through Synchronous Multi-party Interaction and Multi-group Virtual Simulation. Paek, E. S.; Fan, T.; Finch, J. D.; Choi, J. D. Information: Feature Papers in Artificial Intelligence 2024, 2024.

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