Open-Domain Dialog
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Benchmarks
KILT: Wizard of Wikipedia
Most implemented
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation
KILT: a Benchmark for Knowledge Intensive Language Tasks
Hurdles to Progress in Long-form Question Answering
Dialogue Response Ranking Training with Large-Scale Human Feedback Data
Unsupervised Evaluation of Interactive Dialog with DialoGPT
Papers
An Empirical Study on Context Length for Open-Domain Dialog Generation
Transformer-based open-domain dialog models have become increasingly popular in recent years. These models typically represent context as a concatenation of a dialog history. However, there is no criterion to decide how …
Open-Domain DialogSocial Commonsense-Guided Search Query Generation for Open-Domain Knowledge-Powered Conversations
Open-domain dialog involves generating search queries that help obtain relevant knowledge for holding informative conversations. However, it can be challenging to determine what information to retrieve when the user is p…
Open-Domain DialogResponse GenerationDior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation
Current variational dialog models have employed pre-trained language models (PLMs) to parameterize the likelihood and posterior distributions. However, the Gaussian assumption made on the prior distribution is incompatib…
DecoderDiversityOpen-Domain DialogResponse GenerationEnhancing Task Bot Engagement with Synthesized Open-Domain Dialog
Many efforts have been made to construct dialog systems for different types of conversations, such as task-oriented dialog (TOD) and open-domain dialog (ODD). To better mimic human-level conversations that usually fuse v…
Open-Domain DialogOpen-Domain Dialog Evaluation using Follow-Ups Likelihood
Automatic evaluation of open-domain dialogs remains an unsolved problem. Moreover, existing methods do not correlate strongly with human annotations. This paper presents a new automated evaluation method using follow-ups…
Language ModelingLanguage ModellingOpen-Domain DialogInteractive Evaluation of Dialog Track at DSTC9
The ultimate goal of dialog research is to develop systems that can be effectively used in interactive settings by real users. To this end, we introduced the Interactive Evaluation of Dialog Track at the 9th Dialog Syste…
Interactive Evaluation of DialogOpen-Domain DialogResponse Generation