| 2025 | AAAI | CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark. | Marcus Ma, Duong Minh Le, Junmo Kang, Yao Dou, John Cadigan, Dayne Freitag, Alan Ritter, Wei Xu |
| 2025 | ACL | Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs. | Jungsoo Park, Junmo Kang, Gabriel Stanovsky, Alan Ritter |
| 2025 | ACL | Balancing the Budget: Understanding Trade-offs Between Supervised and Preference-Based Finetuning. | Mohit Raghavendra, Junmo Kang, Alan Ritter |
| 2025 | ICLR | Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts. | Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, James R. Glass, David Daniel Cox, Rameswar Panda, Rogrio Feris, Alan Ritter |
| 2024 | ACL | Self-Specialization: Uncovering Latent Expertise within Large Language Models. | Junmo Kang, Hongyin Luo, Yada Zhu, Jacob A. Hansen, James R. Glass, David D. Cox, Alan Ritter, Rogrio Feris, Leonid Karlinsky |
| 2024 | EMNLP | Schema-Driven Information Extraction from Heterogeneous Tables. | Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Mark Dredze, Alan Ritter |
| 2024 | EMNLP | MATE: Meet At The Embedding - Connecting Images with Long Texts. | Young Kyun Jang, Junmo Kang, Yong Jae Lee, Donghyun Kim |
| 2024 | NAACL | Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise. | Giwon Hong, Jeonghwan Kim, Junmo Kang, Sung-Hyon Myaeng, Joyce Jiyoung Whang |
| 2023 | ACL | Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models. | Junmo Kang, Wei Xu, Alan Ritter |
| 2022 | EMNLP | Graph-Induced Transformers for Efficient Multi-Hop Question Answering. | Giwon Hong, Jeonghwan Kim, Junmo Kang, Sung-Hyon Myaeng |
| 2022 | ISCAS | Holistic approaches to memory solutions for the Autonomous Driving Era. | Daeyong Shim, Chunseok Jeong, Euncheol Lee, Junmo Kang, Seokcheol Yoon, Yongkee Kwon, Il Park, Hyun Ahn, Seonyong Cha, Jinkook Kim |
| 2022 | NAACL | Exploiting Numerical-Contextual Knowledge to Improve Numerical Reasoning in Question Answering. | Jeonghwan Kim, Junmo Kang, Kyung-Min Kim, Giwon Hong, Sung-Hyon Myaeng |
| 2021 | EMNLP | Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval. | Kyoungrok Jang, Junmo Kang, Giwon Hong, Sung-Hyon Myaeng, Joohee Park, Taewon Yoon, Hee-Cheol Seo |
| 2021 | EMNLP | Leveraging Order-Free Tag Relations for Context-Aware Recommendation. | Junmo Kang, Jeonghwan Kim, Suwon Shin, Sung-Hyon Myaeng |
| 2021 | EMNLP | Have You Seen That Number? Investigating Extrapolation in Question Answering Models. | Jeonghwan Kim, Giwon Hong, Kyung-Min Kim, Junmo Kang, Sung-Hyon Myaeng |
| 2020 | COLING | Handling Anomalies of Synthetic Questions in Unsupervised Question Answering. | Giwon Hong, Junmo Kang, Doyeon Lim, Sung-Hyon Myaeng |
| 2020 | EMNLP | Regularization of Distinct Strategies for Unsupervised Question Generation. | Junmo Kang, Giwon Hong, Haritz Puerto San Roman, Sung-Hyon Myaeng |