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"None of the Above":Measure Uncertainty in Dialog Response Retrieval
v1v2 (latest)

"None of the Above":Measure Uncertainty in Dialog Response Retrieval

4 April 2020
Yulan Feng
Shikib Mehri
M. Eskénazi
Tiancheng Zhao
ArXiv (abs)PDFHTML

Papers citing ""None of the Above":Measure Uncertainty in Dialog Response Retrieval"

9 / 9 papers shown
Title
Can Tool-augmented Large Language Models be Aware of Incomplete Conditions?
Can Tool-augmented Large Language Models be Aware of Incomplete Conditions?
Seungbin Yang
Yujin Baek
Taehee Kim
Jaegul Choo
66
2
0
18 Jun 2024
An Evaluation Dataset for Intent Classification and Out-of-Scope
  Prediction
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
Stefan Larson
Anish Mahendran
Joseph Peper
Christopher Clarke
Andrew Lee
...
Jonathan K. Kummerfeld
Kevin Leach
M. Laurenzano
Lingjia Tang
Jason Mars
110
530
0
04 Sep 2019
Multi-Granularity Representations of Dialog
Multi-Granularity Representations of Dialog
Shikib Mehri
M. Eskénazi
BDL
52
5
0
26 Aug 2019
Uncertainty Estimates for Efficient Neural Network-based Dialogue Policy
  Optimisation
Uncertainty Estimates for Efficient Neural Network-based Dialogue Policy Optimisation
Christopher Tegho
Paweł Budzianowski
Milica Gasic
145
9
0
30 Nov 2017
Sequential Matching Network: A New Architecture for Multi-turn Response
  Selection in Retrieval-based Chatbots
Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots
Yu-Huan Wu
Wei Wu
Chen Xing
Ming Zhou
Zhoujun Li
77
496
0
06 Dec 2016
Improved Deep Learning Baselines for Ubuntu Corpus Dialogs
Improved Deep Learning Baselines for Ubuntu Corpus Dialogs
Rudolf Kadlec
Martin Schmid
Jan Kleindienst
76
114
0
13 Oct 2015
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured
  Multi-Turn Dialogue Systems
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems
Ryan J. Lowe
Nissan Pow
Iulian Serban
Joelle Pineau
80
950
0
30 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCVBDL
836
9,345
0
06 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,260
0
22 Dec 2014
1