SOTAVerified

Open-Domain Dialog

Papers

Showing 2650 of 60 papers

TitleStatusHype
User Response and Sentiment Prediction for Automatic Dialogue Evaluation0
Investigating the Impact of Pre-trained Language Models on Dialog Evaluation0
Investigating Robustness of Dialog Models to Popular Figurative Language ConstructsCode0
Enhancing Self-Disclosure In Neural Dialog Models By Candidate Re-ranking0
REAM : An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation0
GenSF: Simultaneous Adaptation of Generative Pre-trained Models and Slot FillingCode0
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference AugmentationCode0
HERALD: An Annotation Efficient Method to Detect User Disengagement in Social ConversationsCode0
REAM: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation0
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code GenerationCode0
Discovering Dialog Structure Graph for Open-Domain Dialog Generation0
Self-attention Comparison Module for Boosting Performance on Retrieval-based Open-Domain Dialog Systems0
Topic-relevant Response Generation using Optimal Transport for an Open-domain Dialog System0
Policy-Driven Neural Response Generation for Knowledge-Grounded Dialog Systems0
Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical StudyCode0
Probing Neural Dialog Models for Conversational UnderstandingCode0
Non-Autoregressive Neural Dialogue Generation0
Way Off-Policy Batch Deep Reinforcement Learning of Human Preferences in Dialog0
Hierarchical Reinforcement Learning for Open-Domain DialogCode0
A Multi-Turn Emotionally Engaging Dialog ModelCode0
Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple ReferencesCode0
Deep Reinforcement Learning For Modeling Chit-Chat Dialog With Discrete Attributes0
Large-Scale Transfer Learning for Natural Language GenerationCode0
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in DialogCode0
Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog SystemsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HindsightKILT-RL11.92Unverified
2Re2GKILT-RL11.39Unverified
3intersectKILT-RL10.45Unverified
4KGIKILT-RL10.36Unverified
5RAGKILT-RL7.59Unverified
6WikipediaKILT-RL6.55Unverified
7Multitask DPR + BARTKILT-RL5.91Unverified
8Routing Transformer, c-REALMKILT-RL4.41Unverified
9BART + DPRKILT-RL3.71Unverified
10multitaskKILT-RL2.04Unverified