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Seonghwan Kim — most-cited papers & profile · Reinforcement Learning
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Seonghwan Kim
7
papers ·
4
citations
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Most-cited papers
FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching
2025 · 3 citations
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
2024 · 1 citations
EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes
2025
Riemannian Denoising Model for Molecular Structure Optimization with Chemical Accuracy
2024
Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers
2024
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
2024
EXAONE 3.5: Series of Large Language Models for Real-world Use Cases
2024
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