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Seunguk Yu

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#artificial intelligence Preprint Sep 2026

Don't Count the Edits, Judge by the Outcome Alone: Reward-Based Evaluation for Grammatical Error Correction

Grammatical error correction (GEC) evaluation has traditionally relied on reference or edit overlap, which can penalize valid rewrites that differ from gold corrections. Reference-free metrics reduce this dependence, but evaluating whether a fluent output is a valid correction of the source remains challenging. We prop...

Hayeong Ryu, Sunhee Jo, Seunguk Yu et al. · 0 citations
#natural language process... Preprint Aug 2026

Detecting and Guiding LLM-Generated Korean Poetry with Interpretable Form-level Features

LLMs often struggle with modern Korean poetry, producing outputs that resemble"line-broken prose."We address two coupled tasks: detecting whether a Korean poem is human- or LLM-authored, and guiding LLMs to generate poetry closer in form to human writing. We quantify the human-LLM gap along four form-level linguistic d...

Keunhyeung Park, Seunguk Yu, Youngbin Kim · 0 citations
Review Open access 2026

Narrative Consistency in Large Language Model-Generated Stories: A Survey

This survey examines the problem as narrative consistency, defined as the task-conditioned preservation of binding propositions in the operative narrative state, and introduces a four-category, fourteen-subtype taxonomy comprising World and Setting, Character-Agentive, Event-Structural, and Narration and Discourse cate...

Keunhyeung Park, Seunguk Yu, Jinhee Jang et al. · 0 citations

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