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Author

Yeachan Park

Observed name: Park, Yeachan
Institution: Sejong University
OpenAlex ID: A5109679250
Expressive Power of Floating-Point Neural Networks with Arbitrary Reduction Orders and Inexact Activation Implementations
2026 · Park, Yeachan, Hwang, Geonho, et al. · arXiv (Cornell University)
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Lean-GAP: A Dataset of Formalized Graduate Algebra Problems
2026 · Lee, Seewoo, Hwang, Byung-Hak, et al. · arXiv (Cornell University)
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Soohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs
2026 · Son, Guijin, Kim, Seungone, et al. · arXiv (Cornell University)
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Floating-Point Networks with Automatic Differentiation Can Represent Almost All Floating-Point Functions and Their Gradients
2026 · Park, Sejun, Park, Yeachan, et al. · arXiv (Cornell University)
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Intrinsic Task Symmetry Drives Generalization in Algorithmic Tasks
2026 · Hwang, Hyeonbin, Park, Yeachan · arXiv (Cornell University)
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On the Expressive Power of Floating-Point Transformers
2026 · Park, Sejun, Park, Yeachan, et al. · arXiv (Cornell University)
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SHADOWBENCH: Toward Reliable Automatic Evaluation of Semantic Alignment in Autoformalization
2026 · Hojae Han, Jongyoon Kim, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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On Expressive Power of Quantized Neural Networks under Fixed-Point Arithmetic
2024 · Park, Yeachan, Park, Sejun, et al. · arXiv (Cornell University)
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Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representation
2024 · Park, Yeachan, Kim, Minseok, et al. · arXiv (Cornell University)
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Acceleration of Grokking in Learning Arithmetic Operations Via Kolmogorov-Arnold Representation
2024 · Yeachan Park, Minseok Kim, et al. · SSRN Electronic Journal
Acceleration of Grokking in Learning Arithmetic Operations Via Kolmogorov-Arnold Representation
2024 · Yeoneung Kim, Yeachan Park, et al. · SSRN Electronic Journal
Works count: 11
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