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

Yunjia Xi

ACL 2026ICML 2026SIGIR 2026智能体与工具检索与知识安全社会与人本推理
新星分新星
87
一作贡献80
核心/参与5
方向广度16
合作网络12
2 一作 · 3 篇 · ACL 2026 / ICML 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

3
一作ACL 2026Poster· Natural Language Processing

A Survey of Large Language Model-Based Search Agents

Yunjia Xi · Ruiming Tang (Huawei Noah&#x27 · Yongzhao Xiao · Zheli Zhou · Rong Shan · Te Gao · Jiachen Zhu · Weiwen Liu · s Ark Lab) · Ruiming Tang (Huawei Noah&#x27

摘要

The advent of Large Language Models (LLMs) has significantly revolutionized web search. The emergence of LLM-based Search Agents marks a pivotal shift towards deeper, dynamic, autonomous information seeking. These agents can comprehend user intentions and environment context and execute multi-tur...

检索与知识推理智能体与工具OpenReview 项目页
一作SIGIR 2026Oral· Information Retrieval (Full)

Modular Representation Compression: Adapting LLM Representations for Efficient and Effective Recommendation

Yunjia Xi · Menghui Zhu (Huawei Noah&#x27 · Ruiming Tang (Huawei Noah&#x27 · Ruiming Tang (Huawei Noah&#x27 · Ruiming Tang (Huawei Noah&#x27 · s Ark Lab) · Ruiming Tang (Huawei Noah&#x27 · Ruiming Tang (Huawei Noah&#x27 · s Ark Lab) · Ruiming Tang (Huawei Noah&#x27

摘要

Recently, large language models (LLMs) have advanced recommendation systems (RSs), and recent works have begun to explore how to integrate LLMs into industrial RSs. While most approaches deploy LLMs offline to generate and pre-cache augmented representations for RSs, high-dimensional representati...

可解释性效率与系统检索与知识OpenReview

常见合作者