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

Siyu Yan

ACL 2026SIGIR 2026评测与基准检索与知识推理效率与系统对齐与偏好
新星分贡献者
53
一作贡献0
核心/参与17
方向广度13
合作网络12
0 一作 · 2 篇 · ACL 2026 / SIGIR 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
作者位次 #5/15ACL 2026Poster· Natural Language Processing

A Survey of Inductive Reasoning for Large Language Models

Kedi Chen · Dezhao Ruan · Yuhao Dan · Yaoting Wang · Siyu Yan · Xuecheng Wu · Yinqi Zhang · Qin Chen · Jie Zhou · Liang He · Biqing Qi · Linyang Li · Qipeng Guo · Xiaoming Shi · Wei Zhang

摘要

Reasoning is an important task for large language models (LLMs). Among all the reasoning paradigms, inductive reasoning is one of the basic types, which is characterized by its particular-to-general thinking process and the non-uniqueness of its answers. The inductive mode is crucial for knowledg...

评测与基准检索与知识推理OpenReview 项目页
作者位次 #2/11SIGIR 2026Poster· Information Retrieval (Industry)

DIVER: Unlocking Diversity in Ad Headline Generation with Large Language Models

Chang Wang · Siyu Yan · Depeng Yuan · Yuqi Chen · Yanhua Huang · Yuanhang Zheng · Shuhao Li · Yinqi Zhang · Kedi Chen · Mingrui Zhu · Ruiwen Xu

摘要

While Large Language Models (LLMs) possess remarkable generative capabilities, generating diversified and engaging ad headlines in industrial applications remains challenging. Conventional training paradigms often suffer from mode collapse, converging on dominant data patterns and yielding homoge...

效率与系统对齐与偏好强化学习与后训练OpenReview

常见合作者