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

Lida Shi

AAAI 2026×2ACL 2026×2评测与基准推理多模态效率与系统检索与知识
新星分贡献者
54
一作贡献0
核心/参与27
方向广度13
合作网络3
0 一作 · 4 篇 · AAAI 2026 / ACL 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

4
作者位次 #2/5ACL 2026Poster· Natural Language Processing

Enhancing Multimodal Large Language Models for A ncient C hinese Character Evolution Analysis via Glyph-Driven Fine-Tuning

Rui Song · Lida Shi · Ruihua Qi · Yingji Li · Hao Xu

摘要

In recent years, rapid advances in Multimodal Large Language Models (MLLMs) have increasingly stimulated research on ancient Chinese scripts. As the evolution of written characters constitutes a fundamental pathway for understanding cultural transformation and historical continuity, how MLLMs can...

评测与基准推理多模态OpenReview 项目页
作者位次 #3/7ACL 2026Findings· Findings of ACL

ACSE : An Ancient Character Semantic-Aware Embedding for Large Language Models

Zhihan Zhou · Daqian Shi · Lida Shi · Rui Song · Peiqiang Qiu · Xiaolei Diao · Hao Xu

摘要

Research on ancient Chinese language is of great significance for tracing Chinese history and civilization. In the field of large language models, studies on the pre-Qin excavated documents such as Oracle Bone Inscriptions, Bronze Inscriptions, and Bamboo Book of Chu remain insufficient. This is...

效率与系统检索与知识OpenReview 项目页

常见合作者