Kang Min Yoo

Orcid: 0000-0002-1171-6077

According to our database1, Kang Min Yoo authored at least 53 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

HyperCLOVA X Technical Report.
CoRR, 2024

KMMLU: Measuring Massive Multitask Language Understanding in Korean.
CoRR, 2024

Unified Speech-Text Pretraining for Spoken Dialog Modeling.
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

Instruction Tuning with Human Curriculum.
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

Aligning Language Models to Explicitly Handle Ambiguity.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Aligning Large Language Models by On-Policy Self-Judgment.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
On the Analysis of Cross-Lingual Prompt Tuning for Decoder-based Multilingual Model.
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

Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Aligning Large Language Models through Synthetic Feedback.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

HyperT5: Towards Compute-Efficient Korean Language Modeling.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Critic-Guided Decoding for Controlled Text Generation.
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

Towards More Realistic Generation of Information-Seeking Conversations.
CoRR, 2022

Mutual Information Divergence: A Unified Metric for Multimodal Generative Models.
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

Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations.
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

Generating Information-Seeking Conversations from Unlabeled Documents.
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

Continuous Decomposition of Granularity for Neural Paraphrase Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

TaleBrush: Visual Sketching of Story Generation with Pretrained Language Models.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

TaleBrush: Sketching Stories with Generative Pretrained Language Models.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Response Generation with Context-Aware Prompt Learning.
CoRR, 2021

Efficient Attribute Injection for Pretrained Language Models.
CoRR, 2021

GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation.
CoRR, 2021

Reward Optimization for Neural Machine Translation with Learned Metrics.
CoRR, 2021

GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation.
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

Self-Guided Contrastive Learning for BERT Sentence Representations.
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

Stochastic Relational Network.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Leveraging Class Hierarchy in Fashion Classification.
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
On a conjecture of Karasev.
Comput. Geom., 2018

Slot Filling with Delexicalized Sentence Generation.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Learning to Compose Task-Specific Tree Structures.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Improving Visually Grounded Sentence Representations with Self-Attention.
CoRR, 2017

Unsupervised Learning of Task-Specific Tree Structures with Tree-LSTMs.
CoRR, 2017

2014
RDB2Graph: A Generic Framework for Modeling Relational Databases as Graphs.
Proceedings of the Workshop and Poster Proceedings of the 4th Joint International Semantic Technology Conference, 2014


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