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Seongtae Hong

ACL 2026×2ICLR 2026SIGIR 2026对齐与偏好检索与知识可解释性多语言与语言学社会与人本
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1 一作 · 4 篇 · ACL 2026 / ICLR 2026 / SIGIR 2026

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2026 顶会论文

4
作者位次 #3/6ACL 2026Poster· Natural Language Processing

CLEAR : Cross-Lingual Enhancement in Retrieval via Reverse-training

Seungyoon Lee · Minhyuk Kim · Seongtae Hong · Youngjoon Jang · Dongsuk Oh · Heuiseok Lim

摘要

Existing multilingual embedding models often encounter challenges in cross-lingual scenarios due to imbalanced linguistic resources and less consideration of cross-lingual alignment during training. Although standardized contrastive learning approaches for cross-lingual adaptation are widely adop...

多语言与语言学对齐与偏好检索与知识OpenReview 项目页
作者位次 #4/7ACL 2026Findings· Findings of ACL

I Don’t Need Solution. I Need Emotional Support : Empathetic LLM s based on Emotional Validation

Suhyune Son · Jungwoo Lim · Myunghoon Kang · Seongtae Hong · Yuna Hur · Evelyn H. Zi · Heuiseok Lim

摘要

Empathy plays a crucial role in prosocial behavior and supportive human interactions. According to emotional validation theory, effective empathetic conversations require observing and reflecting on the help-seeker’s situation before offering emotional support and guidance. While recent advanceme...

社会与人本对齐与偏好评测与基准OpenReview 项目页
作者位次 #2/4SIGIR 2026Poster· Information Retrieval (Short)

Beyond Hard Negatives: The Importance of Score Distribution in Knowledge Distillation

Youngjoon Jang · Seongtae Hong · Hyeonseok Moon · Heuiseok Lim

摘要

Transferring knowledge from a cross-encoder teacher via Knowledge Distillation (KD) has become a standard paradigm for training retrieval models. While existing studies have largely focused on mining hard negatives to improve discrimination, the systematic composition of training data and the res...

检索与知识对齐与偏好强化学习与后训练OpenReview

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