Kang Min Yoo
Orcid: 0000-0002-1171-6077
According to our database1,
Kang Min Yoo
authored at least 53 papers
between 2014 and 2024.
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Bibliography
2024
Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models.
CoRR, 2024
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices.
CoRR, 2024
Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection.
CoRR, 2024
Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
CoRR, 2023
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning.
CoRR, 2023
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning.
Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Attribute Injection for Pretrained Language Models: A New Benchmark and an Efficient Method.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Variational Hierarchical Dialog Autoencoder for Dialogue State Tracking Data Augmentation.
CoRR, 2020
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
2019
Utterance Generation With Variational Auto-Encoder for Slot Filling in Spoken Language Understanding.
IEEE Signal Process. Lett., 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Data Augmentation for Spoken Language Understanding via Joint Variational Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
2014
Proceedings of the Workshop and Poster Proceedings of the 4th Joint International Semantic Technology Conference, 2014