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Sequencing Matters: A Generate-Retrieve-Generate Model for Building
  Conversational Agents

Sequencing Matters: A Generate-Retrieve-Generate Model for Building Conversational Agents

16 November 2023
Quinn Patwardhan
Grace Hui Yang
ArXivPDFHTML

Papers citing "Sequencing Matters: A Generate-Retrieve-Generate Model for Building Conversational Agents"

3 / 3 papers shown
Title
Generate rather than Retrieve: Large Language Models are Strong Context
  Generators
Generate rather than Retrieve: Large Language Models are Strong Context Generators
W. Yu
Dan Iter
Shuohang Wang
Yichong Xu
Mingxuan Ju
Soumya Sanyal
Chenguang Zhu
Michael Zeng
Meng Jiang
RALM
AIMat
229
321
0
21 Sep 2022
Adapting Pretrained Text-to-Text Models for Long Text Sequences
Adapting Pretrained Text-to-Text Models for Long Text Sequences
Wenhan Xiong
Anchit Gupta
Shubham Toshniwal
Yashar Mehdad
Wen-tau Yih
RALM
VLM
54
30
0
21 Sep 2022
An Unsupervised Semantic Sentence Ranking Scheme for Text Documents
An Unsupervised Semantic Sentence Ranking Scheme for Text Documents
Hao Zhang
Jie Wang
29
10
0
28 Apr 2020
1