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RetroLLM: Empowering Large Language Models to Retrieve Fine-grained
  Evidence within Generation

RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation

16 December 2024
X. Li
Jiajie Jin
Yujia Zhou
Yongkang Wu
Zhonghua Li
Qi Ye
Zhicheng Dou
    RALM
    LRM
ArXivPDFHTML

Papers citing "RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation"

3 / 3 papers shown
Title
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
X. Li
Jiajie Jin
Guanting Dong
Hongjin Qian
Yutao Zhu
Yongkang Wu
Ji-Rong Wen
Zhicheng Dou
LLMAG
LRM
79
1
0
30 Apr 2025
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Bowen Jin
Hansi Zeng
Zhenrui Yue
Dong Wang
Sercan Ö. Arik
Dong Wang
Hamed Zamani
J. Han
RALM
ReLM
KELM
OffRL
AI4TS
LRM
70
18
0
12 Mar 2025
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
Jiajie Jin
Yutao Zhu
Xinyu Yang
Chenghao Zhang
Zhicheng Dou
Chenghao Zhang
Tong Zhao
Zhao Yang
Zhicheng Dou
Ji-Rong Wen
VLM
57
40
0
22 May 2024
1