Research output per year
Research output per year
Personal profile
In Korean
이성현 교수(IT대학 컴퓨터학부)
Education
(2024) Ph.D., POSTECH
(2018) B.S., POSTECH
(2018) B.S., POSTECH
Professional Experience
(2024) Postdoctoral Researcher, POSTECH
(2021-2024) ScatterLab Inc
(2021-2024) ScatterLab Inc
Research Interests
Large Language Models
Code Generation
Language Model Evaluation
Natural Language Processing
Code Generation
Language Model Evaluation
Natural Language Processing
Major Research Achievements
o Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation (EMNLP24 FIndings)
o Exploring Language Model’s Code Generation Ability with Auxiliary Functions (NAACL24 Findings)
o KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark (COLING24)
o Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning (ACL22)
o OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification (ACL21)
o BHIN2vec: Balancing the Type of Relations in Heterogeneous Information Network (CIKM19)
o Exploring Language Model’s Code Generation Ability with Auxiliary Functions (NAACL24 Findings)
o KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark (COLING24)
o Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning (ACL22)
o OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification (ACL21)
o BHIN2vec: Balancing the Type of Relations in Heterogeneous Information Network (CIKM19)
url
Fingerprint
Dive into the research topics where Seonghyeon Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation
Lee, S., Kim, S., Jang, J., Chon, H., Lee, D. & Yu, H., 2024, EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Association for Computational Linguistics (ACL), p. 1840-1846 7 p. (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Exploring Language Model's Code Generation Ability with Auxiliary Functions
Lee, S., Jang, S., Jang, S., Lee, D. & Yu, H., 2024, Findings of the Association for Computational Linguistics: NAACL 2024 - Findings. Duh, K., Gomez, H. & Bethard, S. (eds.). Association for Computational Linguistics (ACL), p. 2836-2848 13 p. (Findings of the Association for Computational Linguistics: NAACL 2024 - Findings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access1 Scopus citations -
KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark
Jang, S., Lee, S. & Yu, 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. 9905-9925 21 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 › peer-review
-
Learning Topology-Specific Experts for Molecular Property Prediction
Kim, S., Lee, D., Kang, S. K., Lee, S. & Yu, H., 27 Jun 2023, AAAI-23 Technical Tracks 7. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI press, p. 8291-8299 9 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access8 Scopus citations -
Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation
Lee, D., Shen, J., Lee, S., Yoon, S., Yu, H. & Han, J., 2022, p. 1687-1700. 14 p.Research output: Contribution to conference › Paper › peer-review
Open Access