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

Deming Ding

ACL 2026×2评测与基准代码智能体与工具对齐与偏好检索与知识
新星分新星
60
一作贡献30
核心/参与5
方向广度10
合作网络6
1 一作 · 2 篇 · 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

2
一作ACL 2026Poster· Natural Language Processing

O cto B ench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding

Deming Ding · Shichun Liu · Enhui Yang · Jiahang Lin · Ziying Chen · Shihan Dou · Honglin Guo · Weiyu Cheng · Pengyu Zhao · Chengjun Xiao · Qunhong Zeng · Qi Zhang · Xuanjing Huang · Qidi Xu · Tao Gui

摘要

Modern coding scaffolds turn LLMs into capable software agents, but their ability to follow scaffold-specified instructions remains under-examined, especially when constraints are heterogeneous and persist across interactions. To fill this gap, we introduce OctoBench, which benchmarks scaffold-aw...

代码评测与基准智能体与工具OpenReview 项目页
作者位次 #12/14ACL 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