We stand with Ukraine

We stand with Ukraine

Sungdong Kim

Orcid: 0000-0002-0940-5886

According to our database¹, Sungdong Kim authored at least 35 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data.

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Proc. ACM Hum. Comput. Interact., 2024

HyperCLOVA X Technical Report.

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Adrian Jungmyung Kim

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Byoung Hoon Kim

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Kyung Hoon Yeom

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CoRR, 2024

Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversational Search.

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CoRR, 2024

KMMLU: Measuring Massive Multitask Language Understanding in Korean.

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Niklas Muennighoff

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Stella Biderman

CoRR, 2024

Preference-free Alignment Learning with Regularized Relevance Reward.

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CoRR, 2024

FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets.

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models.

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

LangBridge: Multilingual Reasoning Without Multilingual Supervision.

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Sheikh Shafayat

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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Aligning Large Language Models by On-Policy Self-Judgment.

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Ashkan Yousefpour

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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models.

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CoRR, 2023

Revealing User Familiarity Bias in Task-Oriented Dialogue via Interactive Evaluation.

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CoRR, 2023

Semi-Parametric Video-Grounded Text Generation.

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CoRR, 2023

Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization.

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models.

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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Aligning Large Language Models through Synthetic Feedback.

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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training.

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Byoung-Tak Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DAPIE: Interactive Step-by-Step Explanatory Dialogues to Answer Children's Why and How Questions.

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Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Gradient Ascent Post-training Enhances Language Model Generalization.

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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild?

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Woo-Myoung Park

CoRR, 2022

Leveraging Pre-Trained Language Models to Streamline Natural Language Interaction for Self-Tracking.

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CoRR, 2022

Towards More Realistic Generation of Information-Seeking Conversations.

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CoRR, 2022

On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model.

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Woo-Myoung Park

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Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models.

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Woo-Myoung Park

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Generating Information-Seeking Conversations from Unlabeled Documents.

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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Saving Dense Retriever from Shortcut Dependency in Conversational Search.

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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Keep Me Updated! Memory Management in Long-term Conversations.

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Woo-Myoung Park

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

KLUE: Korean Language Understanding Evaluation.

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CoRR, 2021

KLUE: Korean Language Understanding Evaluation.

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Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Can Language Models be Biomedical Knowledge Bases?

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Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation.

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Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

BioBERT: a pre-trained biomedical language representation model for biomedical text mining.

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Bioinform., 2020

Efficient Dialogue State Tracking by Selectively Overwriting Memory.

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Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

QADiver: Interactive Framework for Diagnosing QA Models.

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Seung-won Hwang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2014

Characterization of flip chip bonded structure with Cu ABL power bumps.

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Sarah Eunkyung Kim

Microelectron. Reliab., 2014

2011

Evaluation of wafer level Cu bonding for 3D integration.

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Sarah Eunkyung Kim

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Proceedings of the 2011 IEEE International 3D Systems Integration Conference (3DIC), Osaka, Japan, January 31, 2011

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