| Enhancing out-of-distribution detection in natural language understanding via implicit layer ensemble H Cho, C Park, J Kang, KM Yoo, T Kim, S Lee arXiv preprint arXiv:2210.11034, 2022 | 10 | 2022 |
| Aligning language models to explicitly handle ambiguity HJ Kim, Y Kim, C Park, J Kim, C Park, KM Yoo, S Lee, T Kim arXiv preprint arXiv:2404.11972, 2024 | 9 | 2024 |
| Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts Y Kim, HJ Kim, C Park, C Park, H Cho, J Kim, KM Yoo, S Lee, T Kim arXiv preprint arXiv:2408.01084, 2024 | 3 | 2024 |
| Probing out-of-distribution robustness of language models with parameter-efficient transfer learning H Cho, C Park, J Kim, HJ Kim, KM Yoo, S Lee arXiv preprint arXiv:2301.11660, 2023 | 2 | 2023 |
| Universal domain adaptation for robust handling of distributional shifts in NLP HJ Kim, H Cho, SW Lee, J Kim, C Park, S Lee, KM Yoo, T Kim arXiv preprint arXiv:2310.14849, 2023 | 1 | 2023 |
| Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection C Park, HJ Kim, J Kim, Y Kim, T Kim, H Cho, H Jo, S Lee, KM Yoo arXiv preprint arXiv:2406.16275, 2024 | | 2024 |
