Author

Hyeongwoo Kong

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#machine learning Preprint Jul 2026

Seq2Synth: Benchmarking Temporal Fidelity in Synthetic Sequential Tabular Data

Seq2Synth is introduced, a unified benchmark for assessing temporal and schema properties to determine applicable evaluations, covering timestamp, cross-sectional, longitudinal, and structural fidelity, alongside trajectory-aware utility and privacy.

Kiwan Kwon, Kangmin Kim, Ho-Jin Lee et al. · 0 citations

Preprint Aug 2026

Your AI, On a Dial: Controlling Investment Bias in LLMs with a Single Neuron

The results show that an LLM's aggregate investment stance can be calibrated toward a specified target at inference time.

Sahong Park, Suhwan Park, Hoyoung Lee et al. · 0 citations