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> Dongchan Kim

Publications

Peer-reviewed conference papers, workshop proceedings, and preprints.

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2026

(2 papers)
  1. Jeonghun Yoon, Dongchan Kim, Hongyeon Yu, Young-Bum Kim, Jaegul Choo

    arXiv preprint arXiv:2609.31255

    A personal intelligence agent solving general LLM memory data loss by turning conversational health dialogue into typed records and longitudinal trajectory understanding.

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    BibTeX
                                      @article{yoon2026pia,
      title={PIA: A Personal Intelligence Agent Turning Health Conversations into Records and Records into Understanding},
      author={Yoon, Jeonghun and Kim, Dongchan and Yu, Hongyeon and Kim, Young-Bum and Choo, Jaegul},
      journal={arXiv preprint arXiv:2609.31255},
      year={2026}
    }
                                    
  2. Hongyeon Yu, Dongchan Kim, Young-Bum Kim

    arXiv preprint arXiv:2602.16136

    Empirical study on Retrieval Collapse: how synthetic web content degrades external evidence discovery in RAG pipelines and search engines across two distinct phases (dominance and poisoning).

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    BibTeX
                                      @article{yu2026retrieval,
      title={Retrieval Collapses When AI Pollutes the Web},
      author={Yu, Hongyeon and Kim, Dongchan and Kim, Young-Bum},
      journal={arXiv preprint arXiv:2602.16136},
      year={2026}
    }
                                    

2023

(1 paper)
  1. Ruhi Sarikaya, Dongchan Kim, Young-Bum Kim

    United States Patent US 11,568,863 B1 (Amazon Technologies, Inc.)

    Patented systems and methods for low-latency neural skill shortlisting across massive catalogs of voice capabilities in conversational AI assistants.

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    BibTeX
                                      @misc{sarikaya2023skill,
      title={Skill shortlister for natural language processing},
      author={Sarikaya, Ruhi and Kim, Dongchan and Kim, Young-Bum},
      year={2023},
      month=jan # "~31",
      note={US Patent 11,568,863}
    }
                                    

2018

(3 papers)
  1. Jihwan Lee, Dongchan Kim, Ruhi Sarikaya, Young-Bum Kim

    IEEE Spoken Language Technology Workshop (SLT 2018)

    A coupled representation learning framework capturing deep inter-dependencies among domain, intent, and slot embeddings in large-scale multi-domain conversational systems.

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    BibTeX
                                      @inproceedings{lee2018coupled,
      title={Coupled Representation Learning for Domains, Intents and Slots in Spoken Language Understanding},
      author={Lee, Jihwan and Kim, Dongchan and Sarikaya, Ruhi and Kim, Young-Bum},
      booktitle={2018 IEEE Spoken Language Technology Workshop (SLT)},
      pages={184--191},
      year={2018},
      organization={IEEE}
    }
                                    
  2. Young-Bum Kim, Dongchan Kim, Anjishnu Kumar, Ruhi Sarikaya

    Association for Computational Linguistics (ACL 2018)

    An efficient personalized attention mechanism for large-scale domain classification across conversational virtual assistants supporting hundreds of domains.

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    BibTeX
                                      @inproceedings{kim2018efficient,
      title={Efficient Large-Scale Neural Domain Classification with Personalized Attention},
      author={Kim, Young-Bum and Kim, Dongchan and Kumar, Anjishnu and Sarikaya, Ruhi},
      booktitle={Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
      pages={2214--2224},
      year={2018}
    }
                                    
  3. Young-Bum Kim, Dongchan Kim, Joo-Kyung Kim, Ruhi Sarikaya

    North American Chapter of the Association for Computational Linguistics (NAACL 2018, Industry Track)

    A two-stage neural shortlisting-reranking framework meeting ultra-low latency constraints in commercial conversational assistants across hundreds of domains.

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    BibTeX
                                      @inproceedings{kim2018scalable,
      title={A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding},
      author={Kim, Young-Bum and Kim, Dongchan and Kim, Joo-Kyung and Sarikaya, Ruhi},
      booktitle={Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers)},
      pages={16--24},
      year={2018}
    }
                                    

2017

(2 papers)
  1. Young-Bum Kim, Karl Stratos, Dongchan Kim

    Association for Computational Linguistics (ACL 2017, Short Papers)

    An ensemble-of-experts model equipped with domain-level attention to dynamically route utterances and prevent negative transfer across dissimilar conversational domains.

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    BibTeX
                                      @inproceedings{kim2017domain,
      title={Domain Attention with an Ensemble of Experts},
      author={Kim, Young-Bum and Stratos, Karl and Kim, Dongchan},
      booktitle={Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
      pages={657--662},
      year={2017}
    }
                                    
  2. Young-Bum Kim, Karl Stratos, Dongchan Kim

    Association for Computational Linguistics (ACL 2017, Long Papers)

    Adversarial representation learning to adapt out-of-distribution synthetic or legacy training datasets for new NLU conversational domains without overfitting.

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    BibTeX
                                      @inproceedings{kim2017adversarial,
      title={Adversarial Adaptation of Synthetic or Stale Data},
      author={Kim, Young-Bum and Stratos, Karl and Kim, Dongchan},
      booktitle={Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
      pages={1297--1307},
      year={2017}
    }
                                    

2013

(1 paper)
  1. Wenfei Wu, Yizheng Chen, Ramakrishnan Durairajan, Dongchan Kim, Ashok Anand, Aditya Akella

    IEEE/ACM International Symposium on Quality of Service (IWQoS 2013)

    Adaptive TCP (ATCP): end-host transport modifications prioritizing latency-sensitive short flows over background transfers in cloud data center networks.

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    BibTeX
                                      @inproceedings{wu2013adaptive,
      title={Adaptive Data Transmission in the Cloud},
      author={Wu, Wenfei and Chen, Yizheng and Durairajan, Ramakrishnan and Kim, Dongchan and Anand, Ashok and Akella, Aditya},
      booktitle={2013 IEEE/ACM 21st International Symposium on Quality of Service (IWQoS)},
      pages={1--10},
      year={2013},
      organization={IEEE}
    }