Segwang Kim
Welcome to Segwang’s Homepage!
I am a S/W engineer at Samsung MX Division (started in Sep 2022). My task is 6 DoF, also known as SLAM (Simultaneously Localization and Mapping), for AR/VR devices. I have a Ph. D degree and the title of my dissertation is Improving Rule-based Out-of-distribution Generalization of Sequence Generation Models.
You can contact me through e-mail (ksk5693@snu.ac.kr) or LinkedIn.
Here are my CV and Github.
Publications
Conference Proceedings
Dongryeol Lee*, Segwang Kim*, Minwoo Lee, Hwanhee Lee, Joonsuk Park, and Kyomin Jung, Asking Clarification Questions to Handle Ambiguity in Open-Domain QA, Findings of the Association for Computational Linguistics: EMNLP 2023 (Findings of EMNLP), Dec 2023, Singapore, Singapore. [code], [poster], [slides]
Kangil Lee, Segwang Kim, and Kyomin Jung, Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering, The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 (EMNLP), Dec 2023, Singapore, Singapore. [poster], [slides]
Segwang Kim, Hyoungwook Nam, Joonyoung Kim, and Kyomin Jung, Neural Sequence-to-grid Module for Learning Symbolic Rules, AAAI Conference on Artificial Intelligence (AAAI) - Feb 2021, A Virtual Conference. [code], [poster], [slides], [abridged slides]
Hyoungwook Nam, Segwang Kim, and Kyomin Jung, Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks, AAAI Conference on Artificial Intelligence (AAAI) - (Oral), Jan 2019, Honolulu, Hawaii, USA. [poster], [slides]
Journals
Taegwan Kang, Segwang Kim, Hyeongu Yun, Hwanhee Lee, and Kyomin Jung, Gated Relational Encoder-Decoder Model for Target-Oriented Opinion Word Extraction, IEEE Access 2022.
Segwang Kim, Joonyoung Kim, and Kyomin Jung, Compositional Generalization via Parsing Tree Annotation, IEEE ACCESS 2021. [code]
Education
PhD, Department of Electrical and Computer Engineering, Seoul National University
BA, College of Liberal Studies (major: mathematics), Seoul National University