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

Keyan Ding

ACL 2026×3KDD 2026×2AAAI 2026ICLR 2026推理检索与知识对齐与偏好强化学习与后训练可解释性
新星分贡献者
84
一作贡献0
核心/参与71
方向广度19
合作网络12
0 一作 · 7 篇 · ACL 2026 / KDD 2026 / AAAI 2026 / ICLR 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

7
作者位次 #2/8ACL 2026Poster· Natural Language Processing

TIGER : Text-Informed Generalized Enzyme-Reaction Retrieval

Yuhang Zhang · Keyan Ding · Peilin CHEN · Han Liu · Can Lin · Ruixi Chen · Shiqi Wang · Qi Song

摘要

Enzyme–reaction retrieval is a fundamental problem in computational biology, underpinning enzyme characterization, reaction mechanism elucidation, and the rational design of metabolic pathways and biocatalysts. As a bidirectional task, it entails both enzyme-to-reaction and reaction-to-enzyme map...

可解释性检索与知识对齐与偏好OpenReview 项目页
作者位次 #4/5ACL 2026Findings· Findings of ACL

M ol S afe E val: A Benchmark for Uncovering Safety Risks in AI -Generated Molecules

Tong Xu · Xinzhe Cao · Zhihui Zhu · Keyan Ding · Huajun Chen

摘要

Current molecular generation benchmarks emphasize task complexity, molecule novelty, and property alignment; they largely overlook a critical concern: the potential safety risks of AI-generated molecules. In practice, many generative models may produce molecules with toxic, reactive, or otherwise...

推理评测与基准对齐与偏好OpenReview 项目页
作者位次 #2/7ACL 2026Findings· Findings of ACL

SAFER : Advancing Safety Alignment via Efficient Ex-Ante Reasoning

Kehua Feng · Keyan Ding · Yuhao Wang · Menghan Li · Fanjunduo Wei · Xinda Wang · Huajun Chen

摘要

Recent advancements in large language models (LLMs) have accelerated progress toward artificial general intelligence, yet their potential to generate harmful content poses critical safety challenges. Existing alignment methods often struggle to cover diverse safety scenarios and remain vulnerable...

安全对齐与偏好推理OpenReview 项目页

常见合作者