Lee, Seonghyeon
- Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes
2024/08/24 by Chon, Heejae, Lee, Seonghyeon, Yeo, Jinyoung +1 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Programming Languages (cs.PL) #Software Engineering (cs.SE)
- KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark
2024/02/27 by Jang, Seongbo, Lee, Seonghyeon, Yu, Hwanjo · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Learnable Dynamic Temporal Pooling for Time Series Classification
2021/04/02 by Lee, Dongha, Lee, Seonghyeon, Yu, Hwanjo · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning
2022/02/26 by Seonghyeon Lee, Lee, Seonghyeon, Dongha Lee +5 · 1 citation
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
- Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria
2024/12/30 by Joonwon Jang, Jang, Joonwon, Jae-Hee Kim +5 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Semantic Web and Ontologies
- How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code
2025/03/02 by Lee, Seonghyeon, Chon, Heejae, Jang, Joonwon +2 · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Software Engineering (cs.SE)