| Self-Guided Contrastive Learning for BERT Sentence Representations T Kim, KM Yoo, S Lee Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 190 | 2021 |
| Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction T Kim, J Choi, D Edmiston, S Lee International Conference on Learning Representation, 2020 | 101 | 2020 |
| Summary Level Training of Sentence Rewriting for Abstractive Summarization S Bae, T Kim, J Kim, S Lee Proceedings of the 2nd Workshop on New Frontiers in Summarization, 10-20, 2019 | 80 | 2019 |
| Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations KM Yoo, J Kim, HJ Kim, H Cho, H Jo, SW Lee, S Lee, T Kim Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 72 | 2022 |
| Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator HJ Kim, H Cho, J Kim, T Kim, KM Yoo, S Lee Workshop on Large-scale Pre-trained Language Models (LPLM 2022) at NAACL 2022, 2022 | 41 | 2022 |
| A Syllable-based Technique for Word Embeddings of Korean Words S Choi, T Kim, J Seol, S Lee Proceedings of the First Workshop on Subword and Character Level Models in …, 2017 | 29 | 2017 |
| Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations T Kim, J Choi, D Edmiston, S Bae, S Lee Proceedings of the AAAI Conference on Artificial Intelligence 33, 6594-6601, 2019 | 28 | 2019 |
| Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads B Li, T Kim, RK Amplayo, F Keller Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020 | 15 | 2020 |
| Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners H Cho, HJ Kim, J Kim, SW Lee, S Lee, KM Yoo, T Kim Proceedings of the AAAI Conference on Artificial Intelligence 37, 2023 | 14 | 2023 |
| A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching J Choi, T Kim, S Lee Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 12 | 2019 |
| Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language Models T Kim, B Li, S Lee Findings of the Association for Computational Linguistics: EMNLP 2021, 454–463, 2021 | 11* | 2021 |
| Cell-aware Stacked LSTMs for Modeling Sentences J Choi, T Kim, S Lee Proceedings of The Eleventh Asian Conference on Machine Learning, 2019 | 10 | 2019 |
| Element-wise Bilinear Interaction for Sentence Matching J Choi, T Kim, S Lee Proceedings of the Seventh Joint Conference on Lexical and Computational …, 2018 | 7 | 2018 |
| 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 Findings of the Association for Computational Linguistics: EMNLP 2022 …, 2022 | 6 | 2022 |
| Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models T Kim Proceedings of the 29th International Conference on Computational …, 2022 | 4 | 2022 |
| SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension T Kim, J Choi, S Lee Proceedings of The 12th International Workshop on Semantic Evaluation, 1083–1088, 2018 | 4 | 2018 |
| Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja KM Yoo, T Kim, S Lee Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 2 | 2019 |
| 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 | 1 | 2024 |
| Analysis of Multi-Source Language Training in Cross-Lingual Transfer SH Lim, T Yun, J Kim, J Choi, T Kim arXiv preprint arXiv:2402.13562, 2024 | 1 | 2024 |
| 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 Findings of the Association for Computational Linguistics: EMNLP 2023, 5888–5905, 2023 | 1 | 2023 |
Kang Min YooNAVER Hyperscale AI & AI Lab在 navercorp.com 的电子邮件经过验证
