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

Aili Chen

ACL 2026×2ICML 2026对齐与偏好智能体与工具理论与学习动力学推理社会与人本
新星分新星
71
一作贡献30
核心/参与17
方向广度13
合作网络9
1 一作 · 3 篇 · ACL 2026 / ICML 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 #2/7ACL 2026Poster· Natural Language Processing

Can LLM s Learn to Map the World from Local Descriptions?

Sirui Xia · Aili Chen · Xintao Wang · Tinghui Zhu · Yikai Zhang · Jiangjie Chen · Yanghua Xiao

摘要

Recent advances in Large Language Models (LLMs) have demonstrated strong capabilities in tasks such as code generation and mathematical reasoning. However, their potential to internalize structured spatial knowledge remains underexplored. This study investigates whether LLMs, grounded in locally...

推理社会与人本对齐与偏好OpenReview 项目页
作者位次 #3/14ACL 2026Findings· Findings of ACL

HER : Human-like Reasoning and Reinforcement Learning for LLM Role-playing

Chengyu Du · Xintao Wang · Aili Chen · Weiyuan Li · Rui Xu · Junteng Liu · Zishan Huang · Rong Tian · Zijun Sun · Yuhao Li · Liheng Feng · Deming Ding · Pengyu Zhao · Yanghua Xiao

摘要

LLM role-playing, i.e., using large language models (LLMs) to simulate specific personas, has emerged as a key capability in various applications, such as companionship, content creation, and digital games. While current models effectively capture character tones and knowledge, simulating the inn...

对齐与偏好评测与基准检索与知识OpenReview 项目页

常见合作者