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LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language
  Models and Doc-Level Embedding

LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding

8 April 2024
Mingrui Wu
Sheng Cao
    KELMRALM
ArXiv (abs)PDFHTML

Papers citing "LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding"

3 / 3 papers shown
Title
OpenRAG: Optimizing RAG End-to-End via In-Context Retrieval Learning
Jiawei Zhou
Lei Chen
3DVVLM
160
1
0
11 Mar 2025
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
Weiwei Sun
Lingyong Yan
Xinyu Ma
Shuaiqiang Wang
Fajie Yuan
Zhumin Chen
D. Yin
Zhaochun Ren
RALMALMELMLRMLM&MA
236
315
0
31 Dec 2024
REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via
  Model Fusion of Embedding Models
REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding Models
Ambuje Gupta
Mrinal Rawat
Andreas Stolcke
Roberto Pieraccini
RALM
61
1
0
16 Oct 2024
1