Communities
Connect sessions
AI calendar
Organizations
Contact Sales
Search
Open menu
Home
Papers
2508.05668
Cited By
v1
v2
v3 (latest)
A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges
3 August 2025
Yunjia Xi
Jianghao Lin
Yongzhao Xiao
Zheli Zhou
Rong Shan
Te Gao
Jiachen Zhu
Weiwen Liu
Yong Yu
Weinan Zhang
LLMAG
ELM
Re-assign community
ArXiv (abs)
PDF
HTML
Github (49566★)
Papers citing
"A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges"
6 / 6 papers shown
Title
Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs
Ziliang Wang
Kang An
Xuhui Zheng
FaQiang Qian
WeiKun Zhang
Cijun Ouyang
Jialu Cai
Y. Wang
Yichao Wu
KELM
LRM
2
0
0
01 Oct 2025
ResT: Reshaping Token-Level Policy Gradients for Tool-Use Large Language Models
Zihan Lin
Xiaohan Wang
Jie Cao
Jiajun Chai
Guojun Yin
Wei Lin
Ran He
36
0
0
26 Sep 2025
StepORLM: A Self-Evolving Framework With Generative Process Supervision For Operations Research Language Models
Chenyu Zhou
Tianyi Xu
Jianghao Lin
Dongdong Ge
LRM
40
2
0
26 Sep 2025
Do LLM Agents Know How to Ground, Recover, and Assess? A Benchmark for Epistemic Competence in Information-Seeking Agents
Jiaqi Shao
Yuxiang Lin
Munish Prasad Lohani
Yufeng Miao
B. Luo
RALM
ELM
4
0
0
26 Sep 2025
Reinforcement Learning Foundations for Deep Research Systems: A Survey
Wenjun Li
Z. Chen
Jingru Lin
Hannan Cao
Wei Han
...
Zhi Zhang
Kuicai Dong
Dexun Li
Chen Zhang
Yong Liu
OffRL
52
1
0
08 Sep 2025
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications
Dawei Gao
Zitao Li
Yuexiang Xie
Weirui Kuang
Liuyi Yao
...
Weikai Liao
Farruh Isakulovich Kushnazarov
Yaliang Li
Bolin Ding
Jingren Zhou
LLMAG
AI4TS
65
0
0
22 Aug 2025
1