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Sungrae Hong · Jiwon Jeong · Jisu Shin · Donghee Han · Sol Lee · Kyungeun Kim · Mun Yong Yi
SeongYeub Chu · Jongwoo Kim · Mun Yong Yi
Going beyond the prediction of numerical scores, recent research in automated essay scoring has increasingly emphasized the generation of high-quality feedback that provides justification and actionable guidance. To mitigate the high cost of expert annotation, prior work has commonly relied on LL...
Donghee Han · Daeyoung Roh · A Young Kim · Hwanjun Song · Mun Yong Yi
Large Language Models (LLMs) have shown remarkable potential in recommendation systems but suffer from prohibitive inference latency. Existing distillation approaches typically target Small Language Models (SLMs) or Conventional Recommendation Models (CRMs), face a critical trade-off between comp...
Jiwon Jeong · Donghee Han · Sungrae Hong · Woosung Kang · Mun Yong Yi
Recent work has shown that large language models (LLMs) can enhance recommender systems by integrating collaborative filtering (CF) signals through hybrid prompting. However, most existing CF-LLM frameworks collapse explicit ratings into implicit or positive-only feedback, discarding the ordinal...