paper.dinq.meAI 与前沿科学顶会 · 学术新星雷达
登录 DINQ
返回新星榜
HK

Hong-Gee Kim

ACL 2026×2NeurIPS 2026强化学习与后训练效率与系统检索与知识对齐与偏好评测与基准
新星分资深
19
一作贡献0
核心/参与5
方向广度13
合作网络3
0 一作 · 3 篇 · ACL 2026 / NeurIPS 2026

获取完整研究档案

首次获取该候选人的完整档案及 StartLux 评估共 20 积分;每位用户单独解锁,之后查看免费。主动刷新 20 积分。

联系方式

实时查找电子邮箱,费用不超过20积分;未找到邮箱不扣费。

2026 顶会论文

3
作者位次 #11/11ACL 2026Poster· Natural Language Processing

GMSA : Enhancing Context Compression via Group Merging and Layer Semantic Alignment

Jiwei Tang · ZHICHENG ZHANG · Shunlong Wu · Jingheng Ye · Lichen Bai · Zitai Wang · Tingwei Lu · Lin Hai · Yiming Zhao · Hai-Tao Zheng · Hong-Gee Kim

摘要

Large Language Models (LLMs) have achieved remarkable performance across a wide range of Natural Language Processing (NLP) tasks. However, in long-context scenarios, they face two challenges: high computational cost and information redundancy. To address these challenges, we propose GMSA, an enco...

效率与系统对齐与偏好强化学习与后训练OpenReview 项目页
作者位次 #8/8ACL 2026Poster· Natural Language Processing

CL ^2 GEC : A Multi-Discipline Benchmark for Continual Learning in C hinese Literature Grammatical Error Correction

Shang Qin · Jingheng Ye · Yinghui Li · Hai-Tao Zheng · Qi Li · Jinxiao Shan · Zhixing Li · Hong-Gee Kim

摘要

The growing demand for automated writing assistance in diverse academic domains highlights the need for robust Chinese Grammatical Error Correction (CGEC) systems that can adapt across disciplines. However, existing CGEC research largely lacks dedicated benchmarks for multi-disciplinary academic...

评测与基准社会与人本效率与系统OpenReview 项目页

常见合作者