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Divide & Conquer for Entailment-aware Multi-hop Evidence Retrieval

Divide & Conquer for Entailment-aware Multi-hop Evidence Retrieval

5 November 2023
Fan Luo
Mihai Surdeanu
ArXivPDFHTML

Papers citing "Divide & Conquer for Entailment-aware Multi-hop Evidence Retrieval"

6 / 6 papers shown
Title
DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented
  Generation for Question-Answering
DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering
Zijian Hei
Weiling Liu
Wenjie Ou
Juyi Qiao
Junming Jiao
Guowen Song
Ting Tian
Yi Lin
RALM
46
5
0
11 Jun 2024
Retrieval-Augmented Generation for Large Language Models: A Survey
Retrieval-Augmented Generation for Large Language Models: A Survey
Yunfan Gao
Yun Xiong
Xinyu Gao
Kangxiang Jia
Jinliu Pan
Yuxi Bi
Yi Dai
Jiawei Sun
Meng Wang
Haofen Wang
3DV
RALM
64
1,552
1
18 Dec 2023
Pretrained Transformers for Text Ranking: BERT and Beyond
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy J. Lin
Rodrigo Nogueira
Andrew Yates
VLM
244
612
0
13 Oct 2020
Answering Complex Open-domain Questions Through Iterative Query
  Generation
Answering Complex Open-domain Questions Through Iterative Query Generation
Peng Qi
Xiaowen Lin
L. Mehr
Zijian Wang
Christopher D. Manning
RALM
ReLM
LRM
181
117
0
15 Oct 2019
Revealing the Importance of Semantic Retrieval for Machine Reading at
  Scale
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
Yixin Nie
Songhe Wang
Joey Tianyi Zhou
RALM
164
134
0
17 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
299
6,996
0
20 Apr 2018
1