[top-tier] Shanbao Qiao, Xuebing Liu, Seung-Hoon Na , DistillMIKE: Editing Distillation of Massive In-Context Knowledge Editing in Large Language Models, ACL 2024 Findings (accepted)
[top-tier] Shanbao Qiao, Xuebing Liu, Seung-Hoon Na , COMEM: In-Context Retrieval-Augmented Mass-Editing Memory in Large Language Models, NAACL 2024 Findings (accepted)
[top-tier] Sung-Min Lee, Eunhwan Park, DongHyeon Jeon, Inho Kang, and Seung-Hoon Na , RADCoT: Retrieval-Augmented Distillation to Specialization Models for Generating Chain-of-Thoughts in Query Expansion, COLING 2024 (accepted)
[scie] Wafa Shafqat, Seung-Hoon Na , Evaluating Complex Entity Knowledge Propagation for Knowledge Editing in LLMs, Applied Science (accepted)
[scie] Jihee Ryu, Soojong Lim, Oh-Woog Kwon, Seung-Hoon Na , Transformer-Based Reranking for Improving Korean Morphological Analysis System, ETRI journal (accepted)
[top-tier] Shanbao Qiao, Xuebing Liu, Seung-Hoon Na , DiffusionRet: Diffusion-Enhanced Generative Retriever using Constrained Decoding, EMNLP 2023 Findings [pdf]
Hee-Jun Jung, Doyeon Kim, Seung-Hoon Na , Kangil Kim, Feature structure distillation with Centered Kernel Alignment in BERT transferring, Expert Systems with Applications 2023 (accepted)
[top-tier] Hyun Kim, Minsoo Cho, Seung-Hoon Na , ExplainMeetSum: A Dataset for Explainable Meeting Summarization Aligned with Human Intent, ACL 2023 (accepted)
[top-tier] Sung-Min Lee, Eunhwan Park, Daeryong Seo, DongHyeon Jeon, Inho Kang and Seung-Hoon Na , MAFiD: Moving Average Equipped Fusion-in-Decoder for Question Answering over Tabular and Textual Data, EACL 2023 Findings (accepted)
[top-tier] Eunhwan Park, Sung-Min Lee, Daeryong Seo, Seonhoon Kim, Inho Kang, Seung-Hoon Na , RINK: Reader-Inherited Evidence Reranker for Table-and-Text Open Domain Question Answering, AAAI 2023 (accepted)
[top-tier] Eunhwan Park, Jong-Hyeon Lee, Donghyeon Jeon, Seonhoon Kim, Inho Kang, Seung-Hoon Na , SISER: Semantic-Infused Selective Graph Reasoning for Fact Verification, COLING 2022 (accepted)
Sung-Min Lee, Seung-Hoon Na , JBNU-CCLab at SemEval-2022 Task 12: Machine Reading Comprehension and Span Pair Classification for Linking Mathematical Symbols to Their Descriptions, SemEval at NAACL 2022 ( top-ranked )
Daewook Kang, Sung-Min Lee, Eunhwan Park, Seung-Hoon Na , JBNU-CCLab at SemEval-2022 Task 7: DeBERTa for Identifying Plausible Clarifications in Instructional Texts, SemEval at NAACL 2022
[top-tier] Muhammad Reza Qorib, Seung-Hoon Na , Hwee Tou Ng, Frustratingly Easy System Combination for Grammatical Error Correction, NAACL 2022 (accepted)
[top-tier] Eunhwan Park, Donghyeon Jeon, Seonhoon Kim, Inho Kang, Seung-Hoon Na , LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration Memory, ACL 2022 (accepted)
Heeeung Jung, Kangil Kim, Jong-Hun Shin, Seung-Hoon Na , Sangkeun Jung, Sangin Woo, Impact of Sentence Representation Matching in Neural Machine Translation, Applied Sciences , 12(1313), 2022 [pdf]
Sangmin Woo, Kangil Kim, Junhyug Noh, Jong-Hun Shin, Seung-Hoon Na , Revisiting Dropout: Escaping Pressure for Training Neural Networks with Multiple Costs, Electronics , 10(9), 2021 [pdf]
Jong-Hyeon Lee, Seung-Hoon Na , JBNU at SemEval-2020 Task 4: BERT and UniLM for Commonsense Validation and Explanation, SemEval '20 [pdf] (accepted)
Jinwoo Min, Seung-Hoon Na , Jong-Hun Shin, Young-Kil Kim, JBNU at MRP 2020: AMR Parsing Using a Joint State Model for Graph-Sequence Iterative Inference, MRP 2020 at CoNLL [pdf] (accepted)
Hyun Kim, Seung-Hoon Na , Uniformly Interpolated Balancing for Robust Prediction in Translation Quality Estimation, ACM Transactions on Asian and Low-Resource Language Information Processing (accepted)
Seung-Hoon Na , Jinwoo Min, Kwanghyeon Park, Jong-Hun Shin, Young-Kil Kim, JBNU at MRP 2019: Multi-level Biaffine Attention for Semantic Dependency Parsing, MRP 2019 at CoNLL (accepted)
Hun-Young Jung, Jong-Hyeok Lee, Ennju Min, Seung-Hoon Na, Word Reordering for Translation into Korean Sign Language Using Syntactically-guided Classification, ACM Transactions on Asian and Low-Resource Language Information Processing (accepted)
Hyun Kim, Joon-Ho Lim, Hyun-Ki Kim, Seung-Hoon Na, QE BERT: Bilingual BERT Using Multi-task Learning for Neural Quality Estimation, WMT '19
[scie] Hyun Kim, Jong-Hyeok Lee, Seung-Hoon Na, Multi-task Stack Propagation for Neural Quality Estimation, ACM Transactions on Asian and Low-Resource Language Information Processing [pdf]
[scie] Seung-Hoon Na, Hyun Kim, Jinwoo Min, Kangil Kim, Improving LSTM CRFs Using Character-based Compositions for Korean Named Entity Recognition, Computer Speech and Language [pdf]
[scie] Seung-Hoon Na, Jianri Li, Jong-Hun Shin, Kangil Kim, Transition-Based Korean Dependency Parsing Using Hybrid Word Representations of Syllables and Morphemes with LSTMs, ACM Transactions on Asian and Low-Resource Language Information Processing [pdf]
[scie] Seung-Hoon Na, Young Kil Kim, Phrase-Based Statistical Model for Korean Morpheme Segmentation and POS Tagging, IEICE Transactions on Information Systems , E101.D(2), pp. 512-522, 2018 [pdf]
[scie] Seung-Hoon Na, Kangil Kim, Verbosity Normalized Pseudo-Relevance Feedback in Information Retrieval, Information Processing and Management , 54(2), 2018 [pdf]
Kangil Kim, Jong-Hun Shin, Seung-Hoon Na, Sangkeun Jung, Concept Equalization to Guide Correct Training of Neural Machine Translation, IJCNLP 2017 (accepted)
Hyun Kim, Jong-Hyeok Lee, Seung-Hoon Na , Predictor-Estimator using Multilevel Task Learning with Stack Propagation for Neural Quality Estimation, WMT '17 (top-ranked at the quality estimation task )
[scie] Hyun Kim, Hun-Young Jung, Hongseok Kwon, Jong-Hyeok Lee, Seung-Hoon Na , Predictor-Estimator: Neural Quality Estimation Based on Target Word Prediction for Machine Translation, ACM Transactions on Asian and Low-Resource Language Information Processing , 17(1), 2017 [pdf]
[scie] Kangil Kim, Yun Jin, Seung-Hoon Na , Young-Kil Kim. Center-shared sliding ensemble of neural networks for syntax analysis of natural language. Expert Systems with Applications, 83, 2017 [pdf]
Seung-Hoon Na . Conditional Random Fields for Korean Morpheme Segmentation and POS Tagging. ACM Transactions on Asian and Low-Resource Language Information Processing , 14(3), 2015 [pdf]
[top-tier] Seung-Hoon Na . Two-Stage Document Length Normalization for Information Retrieval. ACM Transactions on Information Systems , 33(2), 2015 [pdf][slide]
[scie] Seung-Hoon Na . Probabilistic co-relevance for query-sensitive similarity measurement in information retrieval. Information Processing and Management, 49(2), pp.558-575, 2013
[top-tier] Seung-Hoon Na , Hwee Tou Ng. Enriching Document Representation via Translation for Improved Monolingual Information Retrieval. SIGIR 2011 (full paper, acceptance rate: 19.8%) [pdf]
Hwanjo Yu, Sungchul Kim, Seung-Hoon Na . RankSVR: Can Preference Data Help Regression? CIKM 2010 (full paper, acceptance rate: 13.4%)
[top-tier] Seung-Hoon Na , Hwee Tou Ng. A 2-Poisson Model for Probabilistic Coreference of Named Entities for Improved Text Retrieval. SIGIR 2009 (full paper, acceptance rate: 15.8%) [pdf]
Seung-Hoon Na , Yeha Lee, Sang-Hyob Nam, and Jong-Hyeok Lee. Improving Opinion Retrieval Based on Query-Specific Sentiment Lexicon. ECIR 2009 , pp. 734-739 [pdf]
- This work corresponds to one of the best results submitted to the TREC ’08 Blog track (i.e., the opinion retrieval task).
Seung-Hoon Na , In-Su Kang, Jungi Kim and Jong-Hyeok Lee. Exploiting Proximity Feature in Bigram Language Model for Information Retrieval Documents and Application to Language Modeling Approaches. SIGIR 2008
Yeha Lee, Seung-Hoon Na , Jungi Kim, Sang-Hyob Nam, Hun-Young Jung, Jong-Hyeok Lee. KLE at TREC 2008 Blog Track: Blog Post and Feed Retrieval, TREC 2008 (top-ranked at the blog and opinion retrieval tasks, selected for oral presentation)
Seung-Hoon Na , In-Su Kang, and Jong-Hyeok Lee. Improving Term Frequency Normalization for Multi-topical Documents and Application to Language Modeling Approaches. ECIR 2008 (full paper, acceptance rate: 23.7%) [pdf][slide]
[top-tier] Seung-Hoon Na , In-Su Kang, Jungi Kim and Jong-Hyeok Lee. Exploiting Proximity Feature in Bigram Language Model for Information Retrieval Documents and Application to Language Modeling Approaches. SIGIR 2008
- This work presents one of the early workss that incorporate the proximity in language modelling approaches for ad-hoc IR
Seung-Hoon Na , Meixun Jin, In-Su Kang, and Jong-Hyeok Lee. Collins-LA: Head-Driven Model with Latent Annotation. CICLing 2008 (full paper, acceptance rate: 25.5%) [pdf]
Seung-Hoon Na , In-Su Kang, Jong-Hyeok Lee . POSTECH at NTCIR-5 Combining Evidences of Multiple Term Extractions for Mono-Lingual and Cross-Lingual Retrieval in Korean and Japanese. NTCIR-5, 2005 (top-ranked at the Korean monolingual retrieval tasks, selected for oral presentation)
Publication (all)
International Journal
Jihee Ryu, Soojong Lim, Oh-Woog Kwon, Seung-Hoon Na , Transformer-Based Reranking for Improving Korean Morphological Analysis System, ETRI journal (accepted)
Heeeung Jung, Kangil Kim, Jong-Hun Shin, Seung-Hoon Na , Sangkeun Jung, Sangin Woo, Impact of Sentence Representation Matching in Neural Machine Translation, Applied Sciences , 12(1313), 2022 [pdf]
Sangmin Woo, Kangil Kim, Junhyug Noh, Jong-Hun Shin, Seung-Hoon Na , Revisiting Dropout: Escaping Pressure for Training Neural Networks with Multiple Costs, Electronics , 10(9), 2021 [pdf]
Hyun Kim, Seung-Hoon Na , Uniformly Interpolated Balancing for Robust Prediction in Translation Quality Estimation, ACM Transactions on Asian and Low-Resource Language Information Processing (accepted)
Hun-Young Jung, Jong-Hyeok Lee, Ennju Min, Seung-Hoon Na, Word Reordering for Translation into Korean Sign Language Using Syntactically-guided Classification, ACM Transactions on Asian and Low-Resource Language Information Processing (accepted)
Hyun Kim, Jong-Hyeok Lee, Seung-Hoon Na, Multi-task Stack Propagation for Neural Quality Estimation, ACM Transactions on Asian and Low-Resource Language Information Processing (accepted)
Seung-Hoon Na, Hyum Kim, Jinwoo Min, Kangil Kim, Improving LSTM CRFs Using Character-based Compositions for Korean Named Entity Recognition, Computer Speech and Language (accepted)
Seung-Hoon Na, Jianri Li, Jong-Hun Shin, Kangil Kim, Transition-Based Korean Dependency Parsing Using Hybrid Word Representations of Syllables and Morphemes with LSTMs, ACM Transactions on Asian and Low-Resource Language Information Processing (accepted)
Seung-Hoon Na, Young Kil Kim, Phrase-Based Statistical Model for Korean Morpheme Segmentation and POS Tagging, IEICE Transactions on Information Systems (accepted)
Seung-Hoon Na, Kangil Kim, Verbosity Normalized Pseudo-Relevance Feedback in Information Retrieval, Information Processing and Management (accepted)
Hyun Kim, Hun-Young Jung, Hongseok Kwon, Jong-Hyeok Lee, Seung-Hoon Na , Predictor-Estimator: Neural Quality Estimation Based on Target Word Prediction for Machine Translation, ACM Transactions on Asian and Low-Resource Language Information Processing , 17(1), 2017 [pdf]
Kangil Kim, Yun Jin, Seung-Hoon Na , Young-Kil Kim. Center-shared sliding ensemble of neural networks for syntax analysis of natural language. Expert Systems with Applications, 83, 2017 [pdf]
Seung-Hoon Na . Conditional Random Fields for Korean Morpheme Segmentation and POS Tagging. ACM Transactions on Asian and Low-Resource Language Information Processing , 14(3), 2015 [pdf]
Seung-Hoon Na . Two-Stage Document Length Normalization for Information Retrieval. ACM Transactions on Information Systems, 33(2), 2015 [pdf]
Seung-Hoon Na , Jong-Hyeok Lee. Partial-update dimensionality reduction for accumulating co-occurrence events. Pattern Recognition Letters, 36, pp.62-73, 2014
Seung-Hoon Na . Probabilistic co-relevance for query-sensitive similarity measurement in information retrieval. Information Processing and Management, 49(2), pp.558-575, 2013
Yeha Lee, Seung-Hoon Na , Jong-Hyeok Lee. Utilizing local evidence for blog feed search. Information Retrieval, 15(2), pp.157-177, 2012
Seung-Hoon Na , Jong-Hyeok Lee. Memory-restricted latent semantic analysis to accumulate term-document co-occurrence events. Pattern Recognition Letters, 33(12), pp.1623-1631, 2012
In-Su Kang, Seung-Hoon Na , Seungwoo Lee, Hanmin Jung, Pyung Kim, Won-Kyung Sung, Jong-Hyeok Lee. On co-authorship for author disambiguation. Information Processing and Management, 45(1), pp.84-97, 2009
Chengguo Jin, Seung-Hoon Na , Dong-Il Kim, Jong-Hyeok Lee. English-Chinese Transliteration Word Pair Extraction from Parallel Corpora. International Journal of Computer Processing of Oriental Languages, 21(2), pp.169-182, 2008
Seung-Hoon Na , In-Su Kang, Jong-Hyeok Lee. Parsimonious translation models for information retrieval. Information Processing and Management, 43(1), pp.121-145, 2007
Seung-Hoon Na , In-Su Kang, Ji-Eun Roh, Jong-Hyeok Lee. An empirical study of query expansion and cluster-based retrieval in language modeling approach. Information Processing and Management, 43(2), pp.302-314, 2007
Seung-Hoon Na , In-Su Kang, Jong-Hyeok Lee. Adaptive document clustering based on query-based similarity. Information Processing and Management, 43(4), pp.887-891, 2007
In-Su Kang, Seung-Hoon Na , Jong-Hyeok Lee. Cluster-based patent retrieval. Information Processing and Management, 43(5), pp.1173-1182, 2007
In-Su Kang, Seung-Hoon Na , Jong-Hyeok Lee. Pruning-Based Unsupervised Segmentation for Korean. IEICE Transactions, 89-D(10), pp.2670-2677, 2006
In-Su Kang, Seung-Hoon Na , Jong-Hyeok Lee. Combination Approaches in Korean Information Retrieval: Words vs. N-Grams, and Query Translation vs. Document Translation. International Journal of Computer Processing of Oriental Languages, 19(2/3), pp.153-187, 2006
In-Su Kang, Seung-Hoon Na , Jong-Hyeok Lee. Collection-based compound noun segmentation for Korean information retrieval. Information Retrieval, 9(5), pp.613-631, 2006
In-Su Kang, Seung-Hoon Na , Jong-Hyeok Lee. Translation Probabilities in Cross-language Information Retrieval. International Journal of Computer Processing of Oriental Languages, 18(2), pp.115-136, 2005
Shanbao Qiao, Xuebing Liu, Seung-Hoon Na , DistillMIKE: Editing Distillation of Massive In-Context Knowledge Editing in Large Language Models, ACL 2024 Findings (accepted)
Shanbao Qiao, Xuebing Liu, Seung-Hoon Na , COMEM: In-Context Retrieval-Augmented Mass-Editing Memory in Large Language Models, NAACL 2024 Findings (accepted)
Sung-Min Lee, Eunhwan Park, DongHyeon Jeon, Inho Kang, and Seung-Hoon Na , RADCoT: Retrieval-Augmented Distillation to Specialization Models for Generating Chain-of-Thoughts in Query Expansion, COLING 2024 (accepted)
Shanbao Qiao, Xuebing Liu, Seung-Hoon Na , DiffusionRet: Diffusion-Enhanced Generative Retriever using Constrained Decoding, EMNLP 2023 Findings [pdf]
Hyun Kim, Minsoo Cho, Seung-Hoon Na , ExplainMeetSum: A Dataset for Explainable Meeting Summarization Aligned with Human Intent, ACL 2023 (accepted)
Sung-Min Lee, Eunhwan Park, Daeryong Seo, DongHyeon Jeon, Inho Kang and Seung-Hoon Na , MAFiD: Moving Average Equipped Fusion-in-Decoder for Question Answering over Tabular and Textual Data, EACL 2023 Findings (accepted)
Eunhwan Park, Sung-Min Lee, Daeryong Seo, Seonhoon Kim, Inho Kang, Seung-Hoon Na , RINK: Reader-Inherited Evidence Reranker for Table-and-Text Open Domain Question Answering, AAAI 2023 (accepted)
Eunhwan Park, Jong-Hyeon Lee, Donghyeon Jeon, Seonhoon Kim, Inho Kang, Seung-Hoon Na , SISER: Semantic-Infused Selective Graph Reasoning for Fact Verification, COLING 2022 (accepted)
Sung-Min Lee, Seung-Hoon Na , JBNU-CCLab at SemEval-2022 Task 12: Machine Reading Comprehension and Span Pair Classification for Linking Mathematical Symbols to Their Descriptions, SemEval at NAACL 2022 ( top-ranked )
Daewook Kang, Sung-Min Lee, Eunhwan Park, Seung-Hoon Na , JBNU-CCLab at SemEval-2022 Task 7: DeBERTa for Identifying Plausible Clarifications in Instructional Texts, SemEval at NAACL 2022
Muhammad Reza Qorib, Seung-Hoon Na , Hwee Tou Ng, Frustratingly Easy System Combination for Grammatical Error Correction, NAACL 2022 (accepted)
Eunhwan Park, Donghyeon Jeon, Seonhoon Kim, Inho Kang, Seung-Hoon Na , LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration Memory, ACL 2022 (accepted)
Heeeung Jung, Kangil Kim, Jong-Hun Shin, Seung-Hoon Na , Sangkeun Jung, Sangin Woo, Impact of Sentence Representation Matching in Neural Machine Translation, Applied Sciences , 12(1313), 2022 [pdf]
Ko Woon Kim, Seung-Hoon Na , Young-Chul Chung, Byoung-Soo Shin, A Comparison of Speech Features between Mild Cognitive Impairment and Healthy Aging Groups, Dementia and Neurocognitive Disorder , 20(4), 2021 [pdf]
Sangmin Woo, Kangil Kim, Junhyug Noh, Jong-Hun Shin, Seung-Hoon Na , Revisiting Dropout: Escaping Pressure for Training Neural Networks with Multiple Costs, Electronics , 10(9), 2021 [pdf]
Jong-Hyeon Lee, Seung-Hoon Na , JBNU at SemEval-2020 Task 4: BERT and UniLM for Commonsense Validation and Explanation, SemEval '20 [pdf] (accepted)
Jinwoo Min, Seung-Hoon Na , Jong-Hun Shin, Young-Kil Kim, JBNU at MRP 2020: AMR Parsing Using a Joint State Model for Graph-Sequence Iterative Inference MRP 2020 at CoNLL [pdf] (accepted)
Hyun Kim, Joon-Ho Lim, Hyun-Ki Kim, Seung-Hoon Na, QE BERT: Bilingual BERT Using Multi-task Learning for Neural Quality Estimation, WMT '19
Seung-Hoon Na , Jinwoo Min, Kwanghyeon Park, Jong-Hun Shin, Young-Kil Kim, JBNU at MRP 2019: Multi-level Biaffine Attention for Semantic Dependency Parsing, MRP 2019 at CoNLL [pdf] [poster] [blitz] (accepted)
Sangkeun Jung and Seung-Hoon Na , “Refining sentence similarity with discourse information in dialog system,” INTERSPEECH 2013, pp. 3742-3746
Sin-Jae Kang, In-Su Kang and Seung-Hoon Na , “A Comparison of Classifiers for Detecting Hedges,” Lecture Notes in Computer Science, UNESST 2011, CCIS 264, pp. 251-257
In-Su Kang and Seung-Hoon Na , “Disambiguating Author Names Using Automatic Relevance Feedback,” Lecture Notes in Computer Science, UNESST 2011, CCIS 264, pp. 239-224
Seung-Hoon Na and Hwee Tou Ng, “Enriching Document Representation via Translation for Improved Monolingual Information Retrieval,” ACM SIGIR 2011 (accepted as a full paper, acceptance rate: 19.8%)
Hwanjo Yu, Sungchul Kim and Seung-Hoon Na , “RankSVR: Can Preference Data Help Regression?,” ACM CIKM 2010 (Toronto/Canada, Oct. 2010, full paper, acceptance rate: 13.4%)
Yeha Lee, Seung-Hoon Na , and Jong-Hyeok Lee, “An Improved Feedback Approach Using Relevant Local Posts for Blog Feed Retrieval,” ACM CIKM 2009, pp. 1971-1974 (Hong Kong/China, Nov. 2009, acceptance rate: 31.3%)
Seung-Hoon Na and Hwee Tou Ng, “A 2-Poisson Model for Probabilistic Coreference of Named Entities for Improved Text Retrieval,” ACM SIGIR 2009, pp. 275-282 (Boston/USA, Jul. 2009, full paper, acceptance rate: 15.8%)
Seung-Hoon Na , Yeha Lee, Sang-Hyob Nam, and Jong-Hyeok Lee, “Improving Opinion Retrieval Based on Query-Specific Sentiment Lexicon,” Lecture Notes in Computer Science, vol. 5478 – ECIR 2009, pp. 734-738 (Toulouse/France, Apr. 2009)
Sang-Hyob Nam, Seung-Hoon Na , Yeha Lee, and Jong-Hyeok Lee, “DiffPost: Filtering Non-relevant Content Based on Content Difference between Two Consecutive Blog Posts,” Lecture Notes in Computer Science, vol. 5478 – ECIR 2009, pp. 791-795 (Toulouse/France, Apr. 2009)
Sang-Hyob Nam, Seung-Hoon Na , Yeha Lee, and Jong-Hyeok Lee, “Partially Supervised Phrase-Level Sentiment Classification,” Lecture Notes in Computer Science, vol. 5459 – ICCPOL 2009, pp. 225-235 (Hong Kong/China, Mar. 2009, full paper)
Seung-Hoon Na , In-Su Kang, Jungi Kim and Jong-Hyeok Lee, “Exploiting Proximity Feature in Bigram Language Model for Information Retrieval Documents and Application to Language Modeling Approaches,” ACM SIGIR 2008, pp. 821-822 (Singapore, Jul. 2008)
Seung-Hoon Na , In-Su Kang, and Jong-Hyeok Lee, “Improving Term Frequency Normalization for Multi-topical Documents and Application to Language Modeling Approaches,” Lecture Notes in Computer Science, vol. 4956 – ECIR 2008, pp. 382-393 (Glasgow/UK, Apr. 2008, full paper, acceptance rate: 23.7%)
Seung-Hoon Na , In-Su Kang, and Jong-Hyeok Lee, “Structural Re-ranking with Cluster-Based Retrieval,” Lecture Notes in Computer Science, vol. 4956 – ECIR 2008, pp. 658-662 (Glasgow/UK, Apr. 2008)
Seung-Hoon Na , In-Su Kang, and Jong-Hyeok Lee, “Revisit of Nearest Neighbor Test for Direct Evaluation of Inter-document Similarities,” Lecture Notes in Computer Science, vol. 4956 – ECIR 2008, pp. 674-678 (Glasgow/UK, Apr. 2008)
Seung-Hoon Na , In-Su Kang, and Jong-Hyeok Lee, “Query-Based Inter-document Similarity Using Probabilistic Co-relevance Model,” Lecture Notes in Computer Science, vol. 4956 – ECIR 2008, pp. 684-688 (Glasgow/UK, Apr. 2008)
Seung-Hoon Na , Meixun Jin, In-Su Kang, and Jong-Hyeok Lee, “Collins-LA: Head-Driven Model with Latent Annotation,” CICLing 2008 (Haifa/Israel, Feb. 2008)
Seung-Hoon Na , In-Su Kang, Yeha Lee, and Jong-Hyeok Lee, “Completely-Arbitrary Passage Retrieval in Language Modeling Approach,” Lecture Notes in Computer Science, vol. 4993 – AIRS 2008, pp. 22-23 (Harbin/China, Jan. 2008, full paper, acceptance rate: 27%) [slide]
Seung-Hoon Na , In-Su Kang, Yeha Lee, and Jong-Hyeok Lee, “Applying Completely-Arbitrary Passage for Pseudo-Relevance Feedback in Language Modeling Approach,” Lecture Notes in Computer Science, vol. 4993 – AIRS 2008, pp. 626-631 (Harbin/China, Jan. 2008) [slide]
Jin Chengguo, Seung-Hoon Na , Dong-Il Kim, Jong-Hyeok Lee, " Automatic Extraction of English-Chinese Transliteration Pairs using Dynamic Window and Tokenizer, “IJCNLP 2008: SIGNAN-6 Workshop, pp. 9-15 (Hyderabad/India, Jan. 2008)
Yeha Lee, Seung-Hoon Na , Jong-Hyeok Lee, “Search Result Clustering Using Label Language Model,” IJCNLP 2008, pp. 637-642 (Hyderabad/India, Jan. 2008)
Seung-Hoon Na , In-Su Kang, Ji-Eun Roh, Jong-Hyeok Lee, “An Empirical Study of Query Expansion and Cluster-Based Retrieval in Language Modeling Approach,” Lecture Notes in Computer Science, vol. 3689 – AIRS 2005, pp. 274-287 (Jeju/Korea Oct. 2005, full paper, acceptance rate: 23.5%, nominated for best paper)
Seung-Hoon Na , In-Su Kang, Ji-Eun Roh, Jong-Hyeok Lee, “Effective Query Model Estimation Using Parsimonious Translation Model in Language Modeling Approach,” Lecture Notes in Computer Science, vol. 3689 – AIRS 2005, pp. 288-298 (Jeju/Korea, Oct. 2005, full paper, acceptance rate: 23.5%)
Seung-Hoon Na , In-Su Kang, Jong-Hyeok Lee, “Parsimonious Translation Models for Information Retrieval,” SIGIR 2005: Workshop on Mathematical/Formal Methods in Information Retrieval, pp. 1-9, (Salvador/Brazil, Aug. 2005)
Seung-Hoon Na , In-Su Kang, Kyonghi Moon, Jong-Hyeok Lee, “Query Model Estimation for Relevance Feedback in Language Modeling Approach,” Lecture Notes in Computer Science, vol. 3411 – AIRS 2004, pp. 215-226 (Beijing/China, Oct. 2004, full paper, acceptance rate: 30%)
Seung-Hoon Na a, In-Su Kang, Sin-Jae Kang, Jong-Hyeok Lee, “Estimation of Query Model from Parsimonious Translation Model,” Lecture Notes in Computer Science, vol. 3411 – AIRS 2004, pp. 239-250 (Beijing/China, Oct. 2004, full paper, acceptance rate: 30%)
Seung-Hoon Na , In-Su Kang, Jong-Hyeok Lee, “Improving Relevance Feedback in Language Modeling Approach: Maximum a Posteriori Probability Criterion and Three-Component Mixture Model,” Lecture Notes in Artificial Intelligence, vol. 3248 – IJCNLP 2004, pp. 130-138 (Hainan/China, March. 2004)
In-Su Kang, Seung-Hoon Na , Jong-Hyeok Lee, “Influence of WSD on Cross-Language Information Retrieval,” Lecture Notes in Artificial Intelligence, Lecture Notes in Artificial Intelligence, vol. 3248 – IJCNLP 2004, pp. 358-366 (Hainan/China, March. 2004, full paper, acceptance rate: 31%)
In-Su Kang, Seung-Hoon Na , Jong-Hyeok Lee, Gijoo Yang, “Lightweight Natural Language Database Interfaces,” Lecture Notes in Computer Science, vol. 3136 – NLDB 2004, pp. 76-88 (Salford/UK, June. 2004, full paper)
International Conference (Non-Refereed)
In-Su Kang, Chul-Kyu Kim, Shin-Jae Kang, Seung-Hoon Na , “IR-based k-Nearest Neighbor Approach for Identifying Abnormal Chat Users,” CLEF 2012
Yeha Lee, Seung-Hoon Na , Jungi Kim, Sang-Hyob Nam, Hun-Young Jung, Jong-Hyeok Lee, “KLE at TREC 2008 Blog Track: Blog Post and Feed Retrieval,” TREC 2008 (Washington/USA, Nov. 2008, selected for oral presentation)
Seung-Hoon Na , Jungi Kim, Yeha Lee, Jong-Hyeok Lee, "POSTECH at NTCIR-6: Combining Evidences of Multiple. Term Extractions for Mono-lingual and Cross-lingual Retrieval," NTCIR-6, pp. 44-51 (Tokyo/Japan, May. 2007, selected for oral presentation)
Jungi Kim, Ye-Ha Lee, Seung-Hoon Na , Jong-Hyeok Lee, "POSTECH at NTCIR-6 English Patent Retrieval Subtask, " NTCIR-6, pp. 393-395 (Tokyo/Japan, May. 2007)
Seung-Hoon Na , In-Su Kang, Jong-Hyeok Lee, “POSTECH at NTCIR-5 Combining Evidences of Multiple Term Extractions for Mono-Lingual and Cross-Lingual Retrieval in Korean and Japanese,” NTCIR-5, pp.96-103 (Tokyo/Japan, Dec. 2005, selected for oral presentation)
In-Su Kang, Seung-Hoon Na , Jungi Kim, Jong-Hyeok Lee, “POSTECH at NTCIR-5 Patent Retrieval: Smoothing Experiments in a Language modeling Approach to Patent Retrieval,” NTCIR-5, pp.300-303 (Tokyo/Japan, Dec. 2005)
Seung-Hoon Na , In-Su Kang, Jong-Hyeok Lee, "POSTECH Question-Answering Experiments at NTCIR-4 QAC, " NTCIR-4, pp. 361-366 (Tokyo/Japan, Jun. 2004)
In-Su Kang, Seung-Hoon Na , Jong-Hyeok Lee, "POSTECH at NTCIR-4: CJKE Monolingual and Korean-related Cross-Language Experiments, " NTCIR-4, pp. 89-95 (Tokyo/Japan, Jun. 2004, selected for oral presentation)
Seung-Hoon Na , In-Su Kang, Jong-Hyeok Lee, “Question Answering Approach Using a WordNet-based Answer Type Taxonomy,” TREC 2002, pp. 520-526 (Washington/USA, Nov. 2002)
Domestic Journal and Report (selected)
서민택, 임준호, 김태형, 류휘정, 장두성, 나승훈 , "거대 언어 모델의 손실 피드백을 통한 검색 모델 개선", 정보과학회 논문지, 2024 (accepted)
장진희, 서대룡, 전동현, 강인호, 나승훈 , "Plug-and-Play Language Model을 활용한 한국어 언어모델 독성 제어", 정보과학회 컴퓨팅의 실제 논문지, 2024 [link]
최형준, 나승훈 , 홍범석, 한영섭, 전병기, "SCA: Cross-Attention 지도 학습에 기반한 문서기반 응답 생성 모델의 성능 향상", 정보과학회 논문지, 2024 [link]
이성민, 박은환, 나승훈, 서대룡, 전동현, 강인호, "R2FID: Joint Reranker기반 Fusion-In-Decoder를 이용한 오픈 도메인 테이블 질의 응답", 정보과학회 논문지, 2023 (accepted)
정민교, 나승훈, 김고운, 신병수, 정영철, "BERT 기반 2단계 분류 모델과 Co-Attention 메커니즘을 이용한 치매와 조현병 진단", 정보과학회 논문지, 2022.9 [link]
민진우, 나승훈, 신종훈, 김영길, 김강일, "기계독해 기반 서브트리 연결 방법을 적용한 한국어 의존 파싱", 정보과학회 논문지, 2022.8 (accepted)
이건희, 나승훈, 임준호, 김태형, 장두성, "PrefixLM에 기반한 한국어 텍스트 요약", 정보과학회 논문지, 2022.4 (accepted)
민진우, 나승훈, 김현호, 김선훈, 강인호, "LUKE를 이용한 한국어 자연어 처리: 개체명 인식, 개체 연결", 정보과학회 논문지, 2022.1 (accepted)
[scopus] Ko Woon Kim, Seung-Hoon Na , Young-Chul Chung, Byoung-Soo Shin, A Comparison of Speech Features between Mild Cognitive Impairment and Healthy Aging Groups, Dementia and Neurocognitive Disorder , 20(4), 2021 [pdf]
최윤수, 이혜우, 김태형, 장두성, 이영훈, 나승훈 , "RoBERTa를 이용한 한국어 기계독해", 정보과학회 논문지, 컴퓨팅의 실제, 2021.4 [pdf]
윤준호, 이정, 서대룡, 전동현, 강인호, 나승훈 , 가상 문서 생성을 통한 지식 증류 기반 질의 확장, 2023 한국소프트웨어종합학술대회 (KSC2023) 논문집, 2023.12
이정, 윤준호, 서대룡, 전동현, 강인호, 나승훈 , 한국어 대규모 언어 모델을 활용한 질의 확장, 2023 한국소프트웨어종합학술대회 (KSC2023) 논문집, 2023.12
서민택, 나승훈 , 임준호, 김태형, 류휘정, 장두성, 거대 언어 모델의 손실 피드백을 통한 검색 모델 개선, 2023 한국소프트웨어종합학술대회 (KSC2023) 논문집, 2023.12
정민교, 홍범석, 최원석, 한영섭, 전병기, 나승훈 , Query 생성 기반 피드백 문서 선별 기법을 이용한 문서그라운딩된 대화 시스템, 2023 한국소프트웨어종합학술대회 (KSC2023) 논문집, 2023.12
이현민, 임준호, 김태형, 류휘정, 장두성, 나승훈 , 피드백 모델을 활용한 대규모 언어 모델 성능 개선, 2023 한국소프트웨어종합학술대회 (KSC2023) 논문집, 2023.12
나정호, 이정, 나승훈 , 정정범, 최맹식, 이충희, 대규모 언어 모델 기반 한국어 휴지 예측 모델 평가, 2023 한국소프트웨어종합학술대회 (KSC2023) 논문집, 2023.12
장규식, 나승훈 , 임준호, 김태형, 류휘정, 장두성, 한국어 대규모언어모델을 활용한 MMR기반 자가생성 In-Context Learning, 2023 한국소프트웨어종합학술대회 (KSC2023) 논문집, 2023.12
이검, 서대룡, 전동현, 강인호, 나승훈 , QSVD: SVD의 잔차 값 양자화에 기반한 대규모 언어모델 압축, 2023 한국소프트웨어종합학술대회 (KSC2023) 논문집, 2023.12
이현민, 임준호, 김태형, 류휘정, 장두성, 나승훈 , 다국어 지시 학습에 기반한 영어 대규모 언어모델로부터 한국어 언어모델 전이 학습 개선, 2023 한국소프트웨어종합학술대회 (KSC2023) 논문집, 2023.12
최형준, 나승훈 , Sharing and Adapting: 공유 레이어와 Low-rank 어뎁터를 통한 레이어 압축, 2023 한국소프트웨어종합학술대회 (KSC2023) 논문집, 2023.12
박준범, 홍범석, 최원석, 한영섭, 전병기, 나승훈 , lama2 프롬프트 기반의 스팬 생성을 통한 문서 재순위화, 2023 한국소프트웨어종합학술대회 (KSC2023) 논문집, 2023.12
장진희, 이정, 서대룡, 전동현, 강인호, 나승훈 , 지시 학습에 기반한 검색 증강 언어 모델, 2023 한국소프트웨어종합학술대회 (KSC2023) 논문집, 2023.12
박은환, 남성욱, 한동훈, 정근영, 고재현, 나승훈 , ChatGPT 기반 한국어 질의 응답 이해 분석, 2023 한국소프트웨어종합학술대회 (KSC2023) 논문집, 2023.12
백인걸, 이현민, 나승훈 , SFT 및 PPO 기반 강화 학습을 사용한 사용자 최적화 언어 모델, 2023 한국소프트웨어종합학술대회 (KSC2023) 논문집, 2023.12
이성민, 이정, 서대룡, 전동현, 강인호, 나승훈 , In-Context 검색 증강형 한국어 언어 모델, 제 35회 한글 및 한국어 정보처리 학술대회, 2023.10
이현민, 나승훈 , 임준호, 김태형, 류휘정, 장두성, Llama, OPT 모델을 활용한 Supervised Fine Tuning, Reinforcement Learning, Chain-of-Hindsight 성능 비교, 제 35회 한글 및 한국어 정보처리 학술대회, 2023.10
최형준, 홍범석, 최원석, 한영섭, 전병기, 나승훈 , Large Language Model을 통한 대화 데이터셋 자동 생성 및 검색 성능 향상, 제 35회 한글 및 한국어 정보처리 학술대회, 2023.10
나정호, 이정, 나승훈 , 정정범, 최맹식, 이충희, 대규모 언어 모델 기반 한국어 휴지 예측 연구, 제 35회 한글 및 한국어 정보처리 학술대회, 2023.10
윤준호, 서대룡, 전동현, 강인호, 나승훈 , Wanda Pruning에 기반한 한국어 언어 모델 경량화, 제 35회 한글 및 한국어 정보처리 학술대회, 2023.10
이정, 나정호, 정정범, 최맹식, 이충희, 나승훈 , 대화 맥락에 기반한 한국어 휴지 예측 모델, 제 35회 한글 및 한국어 정보처리 학술대회, 2023.10
서민택, 나승훈 , 임준호, 김태형, 류휘정, 장두성, 검색 증강 LLM을 통한 한국어 질의응답, 제 35회 한글 및 한국어 정보처리 학술대회, 2023.10
정민교, 홍범석, 한영섭, 전병기, 나승훈 , 피드백 기법을 이용한 LLama2 모델 기반의 Zero-Shot 문서 그라운딩된 대화 시스템 성능 개선, 제 35회 한글 및 한국어 정보처리 학술대회, 2023.10
장진희, 서대룡, 전동현, 강인호, 나승훈 , Instruction Tuning을 통한 한국어 언어 모델 문장 생성 제어, 제 35회 한글 및 한국어 정보처리 학술대회, 2023.10
이검, 서대룡, 전동현, 강인호, 나승훈 , SVD에 기반한 모델 경량화를 통한 문서 그라운딩된 응답 생성, 제 35회 한글 및 한국어 정보처리 학술대회, 2023.10
박준범, 홍범석, 최원석, 전병기, 나승훈 , Zero-shot 기반 다중 문서 그라운딩된 대화 시스템, 제 35회 한글 및 한국어 정보처리 학술대회, 2023.10
장규식, 이현민, 나승훈 , 임준호, 김태형, 류휘정, 장두성, 지시문 및 번역 데이터셋을 활용한 Llama2 Cross-lingual 한국어 확장, 제 35회 한글 및 한국어 정보처리 학술대회, 2023.10
남성욱, 한동훈, 박은환, 나승훈 , Textual Entailment Feedback 기반 효율적인 문서 재순위화기, 제 35회 한글 및 한국어 정보처리 학술대회, 2023.10
이건희, 나승훈, 임준호, 김태형, 류휘정, 장두성, 인코더 디코더 구조 검색기를 활용한 생성형 검색 증강 언어모델, 한국 정보과학회 학술발표논문집, 2023.6
이성민, 윤준호, 서대룡, 전동현, 강인호, 나승훈, 이미지-텍스트 멀티모달 Dense Retrieval를 위한 생성모델 기반 데이터 증강, 한국 정보과학회 학술발표논문집, 2023.6
이현민, 나승훈, 임준호, 김태형, 류휘정, 장두성, Self-Instruct 데이터셋을 활용한 언어 모델 변화에 따른 한국어 지시학습 성능 비교, 한국 정보과학회 학술발표논문집, 2023.6
윤준호, 이성민, 이건희, 서대룡, 전동현, 강인호, 나승훈, 멀티모달 Differentiable Search Index에 기반한 텍스트-이미지 오픈도메인 질의응답, 한국 정보과학회 학술발표논문집, 2023.6
이정, 나정호, 나승훈, 정정범, 최맹식, 이충희, 자연스러운 한국어 다중 화자 음성 합성을 위한 x-vector 기반 휴지 지속 시간 예측, 한국 정보과학회 학술발표논문집, 2023.6
이검, 최형준, 홍범석, 최원석, 한영섭, 전병기, 나승훈, LLaMA Adapter에 기반한 문서 그라운딩된 응답 생성, 한국 정보과학회 학술발표논문집, 2023.6
박준범, 홍범석, 최원석, 한영섭, 전병기, 나승훈, 대화 복원 모델에 기반한 문서 그라운딩된 대화시스템을 위한 데이터 증강, 한국 정보과학회 학술발표논문집, 2023.6
정민교, 홍범석, 최원석, 한영섭, 전병기, 나승훈, Gated Fusion-in-Decoder를 이용한 대화 시스템 응답 성능 개선, 한국 정보과학회 학술발표논문집, 2023.6
나정호, 이정, 나승훈, 정정범, 최맹식, 이충희, 자연스러운 한국어 음성합성을 위한 휴지 예측 모델, 한국 정보과학회 학술발표논문집, 2023.6
민진우, 나승훈, 추출 기반 한국어 개체 중의성 해결, 한국 정보과학회 학술발표논문집, 2023.6
장진희, 이현민, 서대룡, 전동현, 강인호, 나승훈, Plug-and-Play Language Model을 활용한 한국어 언어모델 독성 제어, 한국 정보과학회 학술발표논문집, 2023.6
서민택, 나승훈, Diffusion Model에 기반한 한국어 문장 생성, 한국 정보과학회 학술발표논문집, 2023.6
