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Donghee Han

NeurIPS 2026×2ACL 2026CVPR 2026SIGIR 2026对齐与偏好社会与人本多模态效率与系统推理
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一作贡献100
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合作网络6
3 一作 · 5 篇 · NeurIPS 2026 / ACL 2026 / CVPR 2026 / SIGIR 2026

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2026 顶会论文

5
一作NeurIPS 2026Poster

Selective Answering for Medical VQA via Parallel Independent Claim Verification

Donghee Han · Jiwon Jeong · Mun Yi

社会与人本OpenReview
一作ACL 2026Findings· Findings of ACL

Distilling LLM Reasoning into Dense Encoders: Bridging the Accuracy-Efficiency Gap in Recommendation

Donghee Han · Daeyoung Roh · A Young Kim · Hwanjun Song · Mun Yong Yi

摘要

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...

效率与系统推理对齐与偏好OpenReview 项目页
作者位次 #2/5SIGIR 2026Poster· Information Retrieval (Short)

Every Preference Has Its Strength: Injecting Ordinal Semantics into LLM-Based Recommenders

Jiwon Jeong · Donghee Han · Sungrae Hong · Woosung Kang · Mun Yong Yi

摘要

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...

对齐与偏好可解释性评测与基准OpenReview

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