Papers I am very proud of:
Papers I am utterly ashamed of:
Papers:
- K.Kim, S.Park, J.Lee: Prompt Crossing: Evaluating Whether LLM Response Stems from Jailbreak or Normal Prompt (ICASSP 2025)
- K.Kim, S.Park, J.Lee: RT-VQ2A2: Real Time Vector Quantized Question Answering with ASR (COLING 2024)
- K.Kim, S.Park, J.Lee, J.Lee: Non-Essential is NEcessary: Order-agnostic Multi-hop Question Generation (COLING 2024)
- S.Park, K.Kim, J.Seo, J.Lee: Unsupervised Extractive Dialogue Summarization In Hyperdimensional Space (ICASSP 2024)
- S.Park, J.Seo, J.Lee: Unsupervised Dialogue Topic Segmentation in Hyperdimensional Space (Interspeech 2023)
- Cross-task Knowledge Transfer for Extremely Weakly Supervised Text Classification S.Park, K.Kim, J.Lee (ACL Findings 2023)
- S.Park, J.Lee: LIME: Weakly Supervised Text Classification Without Seeds (COLING 2022)
- S.Park, D.Shin, J.Lee: Leveraging Non-dialogue Summaries For Dialogue Summarization (Transcript Understanding Workshop at COLING 2022)
- S.Park, J.Lee: Unsupervised Abstractive Dialogue Summarization with Word Graphs and POV Conversion (WIT Workshop at ACL 2022)
- S.Park, J.Lee: Finetuning Pretrained Transformers into Variational Autoencoders (Insights Workshop at EMNLP 2021)
- S.Park, D.Shin, S.Paik, S.Choi, A.Kazakova, J.Lee: Improving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation (preprint, 2021)
- M.Gomez, M.Weiss, S.Park, P.Krishnamurthy: Technology Adoption in Spectrum Sharing: Estimating the Impact on Incumbents in the 3.5GHz Band (Speaker at TPRC47)
Patents:
- ๋จ์ด ๊ทธ๋ํ๋ฅผ ์ด์ฉํ ๋ํ ์์ฝ ์์ฑ ๋ฐฉ๋ฒ (KR 10-2444457)
- ์์ฑ ์ธ์ ์ค๋ฅ ๊ฒ์ถ์ ์ํด ํ์ต ๋ฐ์ดํฐ๋ฅผ ์์ฑํ๊ธฐ ์ํ ๋ฐฉ๋ฒ (KR 10-2478076)
- Method for generating learning data for speech recognition error detection (US 11,721,325)
- ์์ ์ ๋ณด๋ฅผ ์ด์ฉํ ์์ฑ ์ธ์ ๋ฐฉ๋ฒ (KR 10-2478763)
- Method for speech recognition with grapheme information (US 11,749,260)
- ์ธ์ฝ๋-๋์ฝ๋ ๊ตฌ์กฐ๋ฅผ ๊ฐ์ง ์ธ๊ณต ์ ๊ฒฝ๋ง ๋ชจ๋ธ์ ํ์ฉํ ๋ฐ์ดํฐ ์์ฑ ๋ฐฉ๋ฒ (KR 10-2480423)
- Method of generating data by using artificial neural network model having encoder-decoder structure (US 11,887,002)
- ํ
์คํธ ์ ๋ณด์์ ํ๊ฒ ๋จ์ด์ ๋์ํ๋ ๋จ์ด๋ฅผ ์๋ณํ๋ ๋ฐฉ๋ฒ (KR 10-2517661)
- Method for identify a word corresponding to a target word in text information (US 12,197,862)
- ๋น-๋ํํ ํ
์คํธ ์ ๋ณด๋ฅผ ํ์ฉํ์ฌ ๋ํ ์์ฝ์ ์ํ ํ์ต ๋ฐ์ดํฐ๋ฅผ ์์ฑํ๋ ๋ฐฉ๋ฒ (KR 10-2520167)
- Method for dialogue summarization with word graphs (US 11,640,493)
์ฃผ ํ์์ ๊ธฐ์ดํ์ฌ ์์ฝ๋ฌธ์ ์์ฑํ๋ ๋ฐฉ๋ฒ (KR 10-2537173) - Method of generating summary based on main speaker (US 17/962,011)
- ํ
์คํธ ๋ถ๋ฅ๋ฅผ ์ํ ํ์ต ๋ฐ์ดํฐ๋ฅผ ์์ฑํ๋ ๋ฐฉ๋ฒ (KR 10-2545892)
- ์ด์ฐจ์ ์ปดํจํ
์ ์ด์ฉํ์ฌ ํ
์คํธ๋ฅผ ๋ถํ ํ๋ ๋ฐฉ๋ฒ (KR 10-2647510)
- ใใญในใๆ
ๅ ฑใฎไธญใใใฟใผใฒใใๅ่ชใจๅฏพๅฟใใๅ่ชใ่ญๅฅใใๆนๆณ (JP 7,475,592)