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Rule or Story, Which is a Better Commonsense Expression for Talking with
  Large Language Models?

Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?

22 February 2024
Ning Bian
Xianpei Han
Hongyu Lin
Yaojie Lu
Xianpei Han
Le Sun
ArXivPDFHTML

Papers citing "Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?"

5 / 5 papers shown
Title
QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for
  Zero-Shot Commonsense Question Answering
QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering
Haochen Shi
Weiqi Wang
Tianqing Fang
Baixuan Xu
Wenxuan Ding
Xin Liu
Yangqiu Song
60
7
0
17 Oct 2023
SCOTT: Self-Consistent Chain-of-Thought Distillation
SCOTT: Self-Consistent Chain-of-Thought Distillation
Jamie Yap
Zhengyang Wang
Zheng Li
K. Lynch
Bing Yin
Xiang Ren
LRM
67
93
0
03 May 2023
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
322
0
21 Sep 2022
Think Before You Speak: Explicitly Generating Implicit Commonsense
  Knowledge for Response Generation
Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation
Pei Zhou
Karthik Gopalakrishnan
Behnam Hedayatnia
Seokhwan Kim
Jay Pujara
Xiang Ren
Yang Liu
Dilek Z. Hakkani-Tür
39
41
0
16 Oct 2021
Inferring the Reader: Guiding Automated Story Generation with
  Commonsense Reasoning
Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning
Xiangyu Peng
Siyan Li
Sarah Wiegreffe
Mark O. Riedl
LRM
50
38
0
04 May 2021
1