SOTAVerified

Response Generation

A task where an agent should play the $DE$ role and generate a text to respond to a $P$ message.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 801–850 of 914 papers

TitleStatusHype
Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation—0
Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System—0
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling—0
Dialogue-Act Prediction of Future Responses Based on Conversation History—0
Boosting Dialog Response Generation—0
Deep Conversational Recommender in Travel—0
DAL: Dual Adversarial Learning for Dialogue Generation—0
Neural Response Generation with Meta-Words—0
Parallel Scheduled Sampling—0
Conversing by Reading: Contentful Neural Conversation with On-demand Machine ReadingCode0
Top-Down Structurally-Constrained Neural Response Generation with Lexicalized Probabilistic Context-Free Grammar—0
Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting—0
Content Word-based Sentence Decoding and Evaluating for Open-domain Neural Response Generation—0
GSN: A Graph-Structured Network for Multi-Party DialoguesCode0
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-AttentionCode0
HUMBO: Bridging Response Generation and Facial Expression Synthesis—0
Improving Neural Conversational Models with Entropy-Based Data FilteringCode0
Unified Language Model Pre-training for Natural Language Understanding and GenerationCode0
MASS: Masked Sequence to Sequence Pre-training for Language GenerationCode2
Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators—0
Condition-Transforming Variational AutoEncoder for Conversation Response Generation—0
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL VanishingCode0
Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented GraphsCode0
Knowledge-Grounded Response Generation with Deep Attentional Latent-Variable Model—0
Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer—0
Natural Language Generation at Scale: A Case Study for Open Domain Question Answering—0
Consistent Dialogue Generation with Self-supervised Feature LearningCode0
Negative Training for Neural Dialogue Response GenerationCode0
Jointly Optimizing Diversity and Relevance in Neural Response Generation—0
Improving Neural Response Diversity with Frequency-Aware Cross-Entropy LossCode0
Making History Matter: History-Advantage Sequence Training for Visual Dialog—0
Re-evaluating ADEM: A Deeper Look at Scoring Dialogue Responses—0
Language Models are Unsupervised Multitask LearnersCode1
Learning to Select Knowledge for Response Generation in Dialog SystemsCode0
Promoting Diversity for End-to-End Conversation Response Generation—0
An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation—0
A Trustworthy, Responsible and Interpretable System to Handle Chit Chat in Conversational Bots—0
Generating Multiple Diverse Responses for Short-Text Conversation—0
Incorporating Relevant Knowledge in Context Modeling and Response Generation—0
Augmenting Neural Response Generation with Context-Aware Topical AttentionCode0
Meta-path Augmented Response Generation—0
Stylistically User-Specific Generation—0
Improving Context Modelling in Multimodal Dialogue GenerationCode0
A Knowledge-Grounded Multimodal Search-Based Conversational AgentCode0
MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling—0
S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information—0
Variational Autoregressive Decoder for Neural Response Generation—0
Automatic Evaluation of Neural Personality-based Chatbots—0
MultiWOZ -- A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue ModellingCode1
Latent Topic Conversational Models—0
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All datasetsSIMMC2.0ArgSciChatMMConv

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaCEBLEU34.1—Unverified
2BART-largeBLEU33.1—Unverified
3BART-baseBLEU29.4—Unverified
4MTNBLEU21.7—Unverified
5GPT-2BLEU19.2—Unverified
#ModelMetricClaimedVerifiedStatus
1LED(Q,F)Message-F119.54—Unverified
2LED(Q,P,H)Message-F116.14—Unverified
3LED(Q,P)Message-F114.25—Unverified
#ModelMetricClaimedVerifiedStatus
1PaCEBLEU22—Unverified
2SimpleTODBLEU20.3—Unverified