Human-inspired AI Computing Research Center

Research output

Research output per year 1997 2014 2018 2019 2020 2021 2022 2023 2024 2024

• 3902 Citations
• 32 h-index
• 201 Article
• 147 Conference contribution
• 11 Conference article
• 8 Paper
• 10 More
  • 4 Review article
  • 2 Chapter
  • 2 Comment/debate
  • 2 Editorial

Research output per year

Research output per year

Search results

• 2024

  Ask, Assess, and Refine: Rectifying Factual Consistency and Hallucination in LLMs with Metric-Guided Feedback Learning

  Lee, D., Lee, H., Park, E. & Lim, H., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Graham, Y., Purver, M. & Purver, M. (eds.). Association for Computational Linguistics (ACL), p. 2422-2433 12 p. (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Factual Consistency 100%
  • Large Language Model 100%
  • Citation Error 40%
  • Chat 33%
  • Iterative Refinement 33%

• Communication-Aware Optimization of Microservice Scheduling on Edge Computing

  Park, H. & Yu, H., 2024, Proceedings of Innovative Computing 2024, Vol. 4 - Proceedings of The 7th International Conference on Innovative Computing, Vol. 4 IC 2024. Pei, Y., Ma, H. S., Chan, Y.-W. & Jeong, H.-Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 187-192 6 p. (Lecture Notes in Electrical Engineering; vol. 1217 LNEE).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Kubernetes 100%
  • Edge Habitat 100%
  • Communication-aware Optimization 100%
  • Transfer Delay 50%
  • Edge Computing 50%

• Detecting Critical Errors Considering Cross-Cultural Factors in English-Korean Translation

  Eo, S., Lim, J., Park, C., Jung, D., Koo, S., Moon, H., Seo, J. & Lim, H., 2024, 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). European Language Resources Association (ELRA), p. 4705-4716 12 p. (2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Error Detection 100%
  • Machine Translation 100%
  • Cross-cultural Factors 100%
  • English 100%
  • Translation System 50%

• Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction

  Lee, U., Yoon, S., Yun, J. S., Park, K., Jung, Y. H., Stratton, D. & Kim, H., 2024, 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). European Language Resources Association (ELRA), p. 4891-4900 10 p. (2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Contrastive Learning 100%
  • Large Language Model 100%
  • Difficulty Prediction 100%
  • Performance Model 50%
  • Difficulty Level 50%

• Generative Interpretation: Toward Human-Like Evaluation for Educational Question-Answer Pair Generation

  Moon, H., Lee, J., Eo, S., Park, C., Seo, J. & Lim, H., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2024. Graham, Y., Purver, M. & Purver, M. (eds.). Association for Computational Linguistics (ACL), p. 2185-2196 12 p. (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2024).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Evaluation Method 100%
  • Human-like 100%
  • Pair Generation 100%
  • Question-answer Pairs 100%
  • Answer Question 100%

• Hyper-BTS Dataset: Scalability and Enhanced Analysis of Back TranScription (BTS) for ASR Post-Processing

  Park, C., Seo, J., Lee, S., Son, J., Moon, H., Eo, S., Lee, C. & Lim, H., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2024. Graham, Y., Purver, M. & Purver, M. (eds.). Association for Computational Linguistics (ACL), p. 67-78 12 p. (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2024).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Transcription 100%
  • Automatic Speech Recognition 100%
  • Speech Recognition 100%
  • Error Categories 16%
  • Phonetic Transcription 16%
  1 Citation (Scopus)

• Leveraging Pre-existing Resources for Data-Efficient Counter-Narrative Generation in Korean

  Lee, S., Park, C., Jung, D. H., Moon, H., Seo, J., Eo, S. & Lim, H., 2024, 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). European Language Resources Association (ELRA), p. 10380-10392 13 p. (2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Narrative Generation 100%
  • Counter-Narratives 100%
  • Counterpunch 20%

• MonaCoBERT: Monotonic Attention Based ConvBERT for Knowledge Tracing

  Lee, U., Park, Y., Kim, Y., Choi, S. & Kim, H., 2024, Generative Intelligence and Intelligent Tutoring Systems - 20th International Conference, ITS 2024, Proceedings. Sifaleras, A. & Lin, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 107-123 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14799 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Monotonic Attention 100%
  • Receptive Field 100%
  • Classical Test Theory 100%
  • Span-based 50%
  • Local Receptive Field 25%

• Proactive Auto Scaling Based on Marginal Request Change Analysis for Reducing Tail Latency in Kubernetes Cluster

  Kim, D. & Yu, H., 2024, Proceedings of Innovative Computing 2024, Vol. 4 - Proceedings of The 7th International Conference on Innovative Computing, Vol. 4 IC 2024. Pei, Y., Ma, H. S., Chan, Y.-W. & Jeong, H.-Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 272-277 6 p. (Lecture Notes in Electrical Engineering; vol. 1217 LNEE).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Kubernetes Cluster 100%
  • Proactive Auto-scaling 100%
  • Horizontal Pod Autoscaler 100%
  • Platform Resource 50%
  • Auto-scaling 25%
• 2023

  Addressing Straggler Problem Through Dynamic Partial All-Reduce for Distributed Deep Learning in Heterogeneous GPU Clusters

  Kim, H. J., Song, C., Lee, H. M. & Yu, H., 2023, 2023 IEEE International Conference on Consumer Electronics, ICCE 2023. Institute of Electrical and Electronics Engineers Inc., (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; vol. 2023-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Allreduce 100%
  • Distributed Deep Learning 100%
  • Straggler Problem 100%
  • Heterogeneous GPU Cluster 100%
  • Deep Learning 100%
  1 Citation (Scopus)

• Alternative Speech: Complementary Method to Counter-Narrative for Better Discourse

  Lee, S., Jung, D., Park, C., Lee, S. & Lim, H., 2023, Proceedings - 23rd IEEE International Conference on Data Mining Workshops, ICDMW 2023. Wang, J., He, Y., Dinh, T. N., Grant, C., Qiu, M. & Pedrycz, W. (eds.). IEEE Computer Society, p. 1438-1442 5 p. (IEEE International Conference on Data Mining Workshops, ICDMW).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Counter-narratives 100%
  • Surrounding Context 100%
  1 Citation (Scopus)

• Beyond Candidates: Adaptive Dialogue Agent Utilizing Persona and Knowledge

  Lim, J., Kang, M., Kim, J., Kim, J., Hur, Y. & Lim, H., 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL), p. 7950-7963 14 p. (Findings of the Association for Computational Linguistics: EMNLP 2023).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Adaptive Dialogues 100%
  • Adaptive Dialogue Systems 50%
  • Persona Description 50%

• CHEF in the Language Kitchen: A Generative Data Augmentation Leveraging Korean Morpheme Ingredients

  Seo, J., Moon, H., Lee, J., Eo, S., Park, C. & Lim, H., 2023, EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings. Bouamor, H., Pino, J. & Bali, K. (eds.). Association for Computational Linguistics (ACL), p. 6014-6029 16 p. (EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Generative Data 100%
  • Functional Morphemes 50%
  • Affixes 25%
  • Sentence Construction 25%
  • Morpheme Combination 25%

• Container Restart Reduction Technique in Kubernetes Using Memory Oversubscription

  Kang, T., Yu, H. & Lee, E., 2023, Proceedings - 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2023. Institute of Electrical and Electronics Engineers Inc., p. 606-607 2 p. (Proceedings - 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2023).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Oversubscription 100%
  • Kubernetes 100%
  • Memory Oversubscription 100%
  • Volatile Memory 33%
  • Memory Allocation 33%

• CReTIHC: Designing Causal Reasoning Tasks about Temporal Interventions and Hallucinated Confoundings

  Chun, C., Lee, S., Seo, J. & Lim, H., 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL), p. 10334-10343 10 p. (Findings of the Association for Computational Linguistics: EMNLP 2023).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Causal Reasoning 100%
  • Confounding 100%
  • Reasoning Tasks 100%
  • Large Language Models 100%
  • Natural Language Processing 100%

• Explore the Way: Exploring Reasoning Path by Bridging Entities for Effective Cross-Document Relation Extraction

  Son, J., Kim, J., Lim, J., Jang, Y. & Lim, H., 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL), p. 6755-6761 7 p. (Findings of the Association for Computational Linguistics: EMNLP 2023).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Information Chain 100%
  • Constructed Path 100%
  • Cross-document Relation 100%
  • Implicit Relation 25%
  1 Citation (Scopus)

• Imposing Cache: Busy-Aware Cooperative Data Caching in Edge-Cloud Environments

  Lim, G., Kang, J. & Yu, H., 2023 Dec 1, ESSE 2023 - Proceedings of the 4th European Symposium on Software Engineering. Association for Computing Machinery, p. 61-69 9 p. (ACM International Conference Proceeding Series).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data Caching 100%
  • Reducing Latency 100%
  • Cloud Node 25%

• Improving Formality-Sensitive Machine Translation using Data-Centric Approaches and Prompt Engineering

  Lee, S., Moon, H., Park, C. & Lim, H., 2023, 20th International Conference on Spoken Language Translation, IWSLT 2023 - Proceedings of the Conference. Salesky, E., Federico, M. & Carpuat, M. (eds.). Association for Computational Linguistics, p. 420-432 13 p. (20th International Conference on Spoken Language Translation, IWSLT 2023 - Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Machine Translation 100%
  • Prompt Engineering 100%
  • Formality 100%
  • Driven Approach 66%
  • Language Modeling 33%
  6 Citations (Scopus)

• Improving Memory Utilization by Sharing DNN Models for Serverless Inference

  Kim, M. H., Lee, J., Yu, H. & Lee, E., 2023, 2023 IEEE International Conference on Consumer Electronics, ICCE 2023. Institute of Electrical and Electronics Engineers Inc., (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; vol. 2023-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Neural Network Model 100%
  • Deep Neural Network 100%
  • Memory Utilization 100%
  • Response Time 33%
  • Inference Service 20%
  2 Citations (Scopus)

• KEBAP: Korean Error Explainable Benchmark Dataset for ASR and Post-processing

  Koo, S., Park, C., Kim, J., Seo, J., Eo, S., Moon, H. & Lim, H., 2023, EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings. Bouamor, H., Pino, J. & Bali, K. (eds.). Association for Computational Linguistics (ACL), p. 4798-4815 18 p. (EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Speech Recognition 100%
  • Postprocessing 100%
  • Automatic Speech Recognition 100%
  • Speech Recognition System 83%
  • Recognition Accuracy 16%
  1 Citation (Scopus)

• PEEP-Talk: A situational dialogue-based chatbot for english education

  Lee, S., Jang, Y., Park, C., Lee, J., Seo, J., Moon, H., Eo, S., Lee, S., Yahya, B. N. & Lim, H., 2023, System Demonstrations. Association for Computational Linguistics (ACL), p. 190-207 18 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 3).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • English as a Foreign Language 100%
  • Situational 100%
  • Chatbot 100%
  • beginners 50%
  • Real Life 50%
  1 Citation (Scopus)

• Post-hoc Utterance Refining Method by Entity Mining for Faithful Knowledge Grounded Conversations

  Jang, Y., Son, S., Lee, J., Son, J., Hur, Y., Lim, J., Moon, H., Yang, K. & Lim, H., 2023, EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings. Bouamor, H., Pino, J. & Bali, K. (eds.). Association for Computational Linguistics (ACL), p. 4844-4861 18 p. (EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Entity Mining 100%
  • Knowledge-grounded Conversation 100%
  • Generation Language 100%
  • Source Knowledge 16%
  1 Citation (Scopus)

• Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks

  Eo, S., Moon, H., Kim, J., Hur, Y., Kim, J., Lee, S., Chun, C., Park, S. & Lim, H., 2023, Findings of the Association for Computational Linguistics, ACL 2023. Association for Computational Linguistics (ACL), p. 6100-6115 16 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Children's Storybooks 100%
  • Effective Questions 100%
  • Effective Question 100%
  • Oriented Processes 33%
  • Interrogative Sentence 33%
  3 Citations (Scopus)
• 2022

  A Dog Is Passing over the Jet? A Text-Generation Dataset for Korean Commonsense Reasoning and Evaluation

  Seo, J., Lee, S., Park, C., Jang, Y., Moon, H., Eo, S., Koo, S. & Lim, H., 2022, Findings of the Association for Computational Linguistics: NAACL 2022 - Findings. Association for Computational Linguistics (ACL), p. 2233-2249 17 p. (Findings of the Association for Computational Linguistics: NAACL 2022 - Findings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Language Modeling 100%
  • Commonsense Reasoning 100%
  • Text Generation 100%
  • Natural-Language Understanding 20%
  • Evaluation Metric 20%
  6 Citations (Scopus)

• Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge

  Jang, Y., Lim, J., Hur, Y., Oh, D., Son, S., Lee, Y., Shin, D., Kim, S. & Lim, H., 2022 Jun 30, AAAI-22 Technical Tracks 10. Association for the Advancement of Artificial Intelligence, p. 10803-10812 10 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Conversational Agent 100%
  • Quality Assessment 100%
  • Background Information 100%
  • Pre-Trained Language Models 100%
  • Conversational Data 33%
  18 Citations (Scopus)

• Empirical Analysis of Noising Scheme based Synthetic Data Generation for Automatic Post-editing

  Moon, H., Park, C., Lee, S., Seo, J., Lee, J., Eo, S. & Lim, H., 2022, 2022 Language Resources and Evaluation Conference, LREC 2022. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 883-891 9 p. (2022 Language Resources and Evaluation Conference, LREC 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Official Data 100%
  • Derived Sentence 100%

• FREETALKY: Don't Be Afraid! Conversations Made Easier by a Humanoid Robot using Persona-based Dialogue

  Park, C., Jang, Y., Lee, S., Park, S. & Lim, H., 2022, 2022 Language Resources and Evaluation Conference, LREC 2022. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 1242-1248 7 p. (2022 Language Resources and Evaluation Conference, LREC 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Humanoid Robots 100%
  • NAO Robot 100%
  • Grammar Learning 100%
  • Robot 50%
  • Deep Learning 50%
  4 Citations (Scopus)

• KPCR: Knowledge Graph Enhanced Personalized Course Recommendation

  Jung, H., Jang, Y., Kim, S. & Kim, H., 2022, AI 2021: Advances in Artificial Intelligence - 34th Australasian Joint Conference, AI 2021, Proceedings. Long, G., Yu, X. & Wang, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 739-750 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13151 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Side Information 100%
  • Personalized Course Recommendation 100%
  • Auxiliaries 100%
  • Filtration 50%
  • Limitations 50%
  13 Citations (Scopus)

• KU X Upstage's submission for the WMT22 Quality Estimation: Critical Error Detection Shared Task

  Eo, S., Park, C., Moon, H., Seo, J. & Lim, H., 2022, WMT 2022 - 7th Conference on Machine Translation, Proceedings of the Conference. Association for Computational Linguistics, p. 606-614 9 p. (Conference on Machine Translation - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Google Translate 100%
  • Unconstrained Settings 100%
  5 Citations (Scopus)

• Priming Ancient Korean Neural Machine Translation

  Park, C., Lee, S., Seo, J., Moon, H., Eo, S. & Lim, H., 2022, 2022 Language Resources and Evaluation Conference, LREC 2022. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 22-28 7 p. (2022 Language Resources and Evaluation Conference, LREC 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Cognitive Science 100%
  • Cognitive Dissonance 50%
  • Cognitive Dissonance Theory 33%
  • Historical Language 33%
  • Human-centric 33%
  2 Citations (Scopus)

• Vowel-Oriented String Search Algorithm with Vowel-Oriented Binary Tree

  Chung, K. S. & Yu, H., 2022, Advances in Information and Communication - Proceedings of the 2022 Future of Information and Communication Conference, FICC. Arai, K. (ed.). Springer Science and Business Media Deutschland GmbH, p. 1-11 11 p. (Lecture Notes in Networks and Systems; vol. 438 LNNS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Search Algorithm 100%
  • Binary Tree 100%
  • Binaries 100%
  • Cloud Storage 16%
  • Keyword Search 16%
• 2021

  BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text

  Park, C., Seo, J., Lee, S., Lee, C., Moon, H., Eo, S. & Lim, H., 2021, WAT 2021 - 8th Workshop on Asian Translation, Proceedings of the Workshop. Nakazawa, T., Nakayama, H., Goto, I., Mino, H., Ding, C., Dabre, R., Kunchukuttan, A., Higashiyama, S., Manabe, H., Pa, W. P., Parida, S., Bojar, O., Chu, C., Eriguchi, A., Abe, K., Oda, Y., Sudoh, K., Kurohashi, S. & Bhattacharyya, P. (eds.). Association for Computational Linguistics (ACL), p. 106-116 11 p. (WAT 2021 - 8th Workshop on Asian Translation, Proceedings of the Workshop).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Speech Recognition 100%
  • Text To Speech 100%
  • Post-processor 100%
  • Postprocessing 50%
  • Parallel Corpus 50%
  22 Citations (Scopus)

• Capturing Speaker Incorrectness: Speaker-Focused Post-Correction for Abstractive Dialogue Summarization

  Lee, D., Lim, J., Whang, T., Lee, C., Cho, S., Pak, M. & Lim, H., 2021, 3rd Workshop on New Frontiers in Summarization, NewSum 2021 - Workshop Proceedings. Carenini, G., Cheung, J. C. K., Dong, Y., Liu, F. & Wang, L. (eds.). Association for Computational Linguistics (ACL), p. 65-73 9 p. (3rd Workshop on New Frontiers in Summarization, NewSum 2021 - Workshop Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Experimental Result 100%
  • Summarization System 100%
  • Pre-Trained Language Models 100%
  • Post-correction 100%
  • Multiple Participants 33%
  4 Citations (Scopus)

• DiKT: Dichotomous Knowledge Tracing

  Kim, S., Kim, W., Jung, H. & Kim, H., 2021, Intelligent Tutoring Systems - 17th International Conference, ITS 2021, Proceedings. Cristea, A. I. & Troussas, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 41-51 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12677 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Knowledge Tracing 100%
  • Cognitive Process 100%
  • Student Knowledge 100%
  • Knowledge State 100%
  • Factor Analysis 50%
  3 Citations (Scopus)

• Learning Path Construction Using Reinforcement Learning and Bloom’s Taxonomy

  Kim, S., Kim, W. & Kim, H., 2021, Intelligent Tutoring Systems - 17th International Conference, ITS 2021, Proceedings. Cristea, A. I. & Troussas, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 267-278 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12677 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Bloom's Taxonomy 100%
  • Learning Path Construction 100%
  • Learning Taxonomy 100%
  • Personalized Learning 100%
  • Model Construction 100%
  2 Citations (Scopus)

• Should we find another model? Improving Neural Machine Translation Performance with ONE-Piece Tokenization Method without Model Modification

  Park, C., Eo, S., Moon, H. & Lim, H., 2021, NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Industry Papers. Association for Computational Linguistics (ACL), p. 97-104 8 p. (NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Industry Papers).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Model Modification 100%
  • Translation Performance 100%
  • Neural Machine Translation 100%
  • Low-resource Languages 100%
  • Tokenization 100%
  15 Citations (Scopus)

• Student Knowledge Prediction for Teacher-Student Interaction

  Kim, S., Kim, W., Jang, Y., Choi, S., Jung, H. & Kim, H., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 15560-15568 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 17B).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Student Teachers 100%
  • Student Knowledge 100%
  • Teacher-student Interaction 100%
  • Distance Learning 40%
  • Constructivist View 25%
  7 Citations (Scopus)

• Why and What to Teach: AI Curriculum for Elementary School

  Kim, S., Jang, Y., Kim, W., Choi, S., Jung, H., Kim, S. & Kim, H., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 15569-15576 8 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 17B).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Primary Schools 100%
  • Artificial Intelligence 100%
  • AI Curriculum 100%
  • AI Literacy 66%
  • AI Skills 33%
  44 Citations (Scopus)
• 2020

  An effective domain adaptive post-training method for BERT in response selection

  Whang, T., Lee, D., Lee, C., Yang, K., Oh, D. & Lim, H., 2020, Interspeech 2020. International Speech Communication Association, p. 1585-1589 5 p. (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH; vol. 2020-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Response Selection 100%
  • Dialog System 66%
  • Multi-turn Response Selection 33%
  • Retrieval-based Dialogue Systems 33%
  • Multi-turn Dialogue System 33%
  63 Citations (Scopus)

• I Know What You Asked: Graph Path Learning using AMR for Commonsense Reasoning

  Lim, J., Oh, D., Jang, Y., Yang, K. & Lim, H., 2020, COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. Scott, D., Bel, N. & Zong, C. (eds.). Association for Computational Linguistics (ACL), p. 2459-2471 13 p. (COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Path Learning 100%
  • Graph Paths 100%
  • Commonsense Reasoning 100%
  • Pruned Graphs 66%
  • Reasoning Process 33%
  22 Citations (Scopus)

• Many-To-Many Voice Conversion Using Conditional Cycle-Consistent Adversarial Networks

  Lee, S., Ko, B., Lee, K., Yoo, I. C. & Yook, D., 2020 May, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6279-6283 5 p. 9053726. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2020-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Training Data 100%
  • Experimental Result 50%
  • Art Performance 50%
  • Generative Adversarial Networks 50%
  • Linguistic Content 14%
  31 Citations (Scopus)
• 2019

  A comparative analysis of emotional words for learning effectiveness in online education

  Jo, J., Yang, Y., Kim, G. & Lim, H., 2019, EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining. Lynch, C. F., Merceron, A., Desmarais, M. & Nkambou, R. (eds.). International Educational Data Mining Society, p. 591-594 4 p. (EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Comparative Analysis 100%
  • Educational Content 100%
  • Neutral Term 20%
  • Education Environment 20%

• AutoThinking: An Adaptive Computational Thinking Game

  Hooshyar, D., Lim, H., Pedaste, M., Yang, K., Fathi, M. & Yang, Y., 2019, Innovative Technologies and Learning - 2nd International Conference, ICITL 2019, Proceedings. Rønningsbakk, L., Wu, T.-T., Sandnes, F. E. & Huang, Y.-M. (eds.). Springer, p. 381-391 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11937 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Thinking Skill 100%
  • Computational Thinking Skills 33%
  • Digital Computers 16%
  • Computational Concepts 16%
  • Video Tutorial 16%
  30 Citations (Scopus)

• Deep Explanation Model for Facial Expression Recognition Through Facial Action Coding Unit

  Kim, S. & Kim, H., 2019 Apr 1, 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8679370. (2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Coding Unit 100%
  • Explanation Model 100%
  • Facial Action Coding 100%
  • facial action 100%
  • Action Codes 60%
  12 Citations (Scopus)

• Implementation of Low-Latency Message Delivery for Serverless Based Workflow

  Hwang, S., Choi, H. & Yu, H., 2019 Nov, Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems Workshops, MASSW 2019. Institute of Electrical and Electronics Engineers Inc., p. 170-171 2 p. 9059431. (Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems Workshops, MASSW 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Serverless Functions 100%
  • Orchestration Tools 100%
  • Serverless Platforms 100%
  • Message Delivery 100%
  • Communication Bus 50%
  1 Citation (Scopus)

• NIOECM: A network I/O event control mechanism to provide fairness of network performance among vms with same resource configuration in virtualized environment

  Lee, J., Kang, J. & Yu, H., 2019, Internet and Distributed Computing Systems 12th International Conference, IDCS 2019, Proceedings. Montella, R., Ciaramella, A., Fortino, G., Guerrieri, A. & Liotta, A. (eds.). Springer, p. 271-283 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11874 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Virtual Machine 100%
  • Input/Output 100%
  • Network Performance 100%
  • Resource Configuration 100%
  • Control Mechanism 100%

• Performance Improvement of Ordering and Endorsement Phase in Hyperledger Fabric

  Kwon, M. & Yu, H., 2019 Oct, 2019 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019. Alsmirat, M. & Jararweh, Y. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 428-432 5 p. 8939202. (2019 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Performance Improvement 100%
  • Ordering Service 100%
  • Hyperledger Fabric 100%
  • Blockchain 100%
  • Business Model 100%
  23 Citations (Scopus)

• SafeDB: Spark acceleration on FPGA clouds with enclaved data processing and bitstream protection

  Kim, H. Y., Myung, R., Hong, B., Yu, H., Suh, T., Xu, L. & Shi, W., 2019 Jul, Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services. Bertino, E., Chang, C. K., Chen, P., Damiani, E., Goul, M. & Oyama, K. (eds.). IEEE Computer Society, p. 107-114 8 p. 8814561. (IEEE International Conference on Cloud Computing, CLOUD; vol. 2019-July).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Bitstream Protection 100%
  • Cluster Prototype 50%
  • Zynq UltraScale+ 33%
  • Multi-level Encryption 33%
  • Hardware Security 33%
  7 Citations (Scopus)

• The Structure of Deep Neural Network for Interpretable Transfer Learning

  Kim, D., Lim, W., Hong, M. & Kim, H., 2019 Apr 1, 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8679150. (2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Transfer Learning 100%
  • Deep Neural Network 100%
  • Interpretability 50%
  • Transfer Problem 20%
  • Feature Extraction 16%
  8 Citations (Scopus)
• 2018

  Analysis of parallel training algorithms for deep neural networks

  Lee, H., Lee, K., Yoo, I. C. & Yook, D., 2018 Dec, Proceedings - 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018. Institute of Electrical and Electronics Engineers Inc., p. 1462-1463 2 p. 8947467. (Proceedings - 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • training algorithm 100%
  • Gradient Descent 100%
  • Deep Neural Network 100%
  • Parallel Training 100%
  • Parallel Stochastic Gradient Descent 33%
  2 Citations (Scopus)