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 851–900 of 914 papers

TitleStatusHype
Skeleton-to-Response: Dialogue Generation Guided by Retrieval MemoryCode0
Retrieval-Enhanced Adversarial Training for Neural Response Generation—0
Detecting egregious responses in neural sequence-to-sequence models—0
Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots—0
Neural MultiVoice Models for Expressing Novel Personalities in Dialog—0
Why Do Neural Response Generation Models Prefer Universal Replies?—0
A Prospective-Performance Network to Alleviate Myopia in Beam Search for Response Generation—0
MEMD: A Diversity-Promoting Learning Framework for Short-Text Conversation—0
HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation—0
Towards Explainable and Controllable Open Domain Dialogue Generation with Dialogue Acts—0
Unsupervised Counselor Dialogue Clustering for Positive Emotion Elicitation in Neural Dialogue System—0
A Unified Neural Architecture for Joint Dialog Act Segmentation and Recognition in Spoken Dialog System—0
Tailored Sequence to Sequence Models to Different Conversation Scenarios—0
Learning to Control the Specificity in Neural Response Generation—0
Response Generation by Context-aware Prototype EditingCode0
LSDSCC: a Large Scale Domain-Specific Conversational Corpus for Response Generation with Diversity Oriented Evaluation Metrics—0
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-EncoderCode0
Multi-turn Dialogue Response Generation in an Adversarial Learning Framework—0
Self-Attention-Based Message-Relevant Response Generation for Neural Conversation Model—0
Improv Chat: Second Response Generation for Chatbot—0
Polite Dialogue Generation Without Parallel DataCode1
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog GenerationCode0
An End-to-End Goal-Oriented Dialog System with a Generative Natural Language Response Generation—0
Conversational AI: The Science Behind the Alexa Prize—0
Towards Interpretable Chit-chat: Open Domain Dialogue Generation with Dialogue Acts—0
Group Linguistic Bias Aware Neural Response Generation—0
Neural Response Generation with Dynamic Vocabularies—0
Neural Text Generation: A Practical Guide—0
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models—0
Automatic Generation of News Comments Based on Gated Attention Neural Networks—0
RubyStar: A Non-Task-Oriented Mixture Model Dialog System—0
A Survey on Dialogue Systems: Recent Advances and New Frontiers—0
Generating Stylistically Consistent Dialog Responses with Transfer Learning—0
Affective Neural Response Generation—0
Steering Output Style and Topic in Neural Response GenerationCode0
Neural Response Generation for Customer Service based on Personality Traits—0
Neural Response Generation via GAN with an Approximate Embedding Layer—0
Attentive listening system with backchanneling, response generation and flexible turn-taking—0
Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language GenerationCode0
A Conditional Variational Framework for Dialog Generation—0
Towards Building Large Scale Multimodal Domain-Aware Conversation SystemsCode0
A practical approach to dialogue response generation in closed domains—0
Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation—0
Hierarchical Recurrent Attention Network for Response GenerationCode0
A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue—0
Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models—0
Neural Personalized Response Generation as Domain Adaptation—0
Deep Active Learning for Dialogue Generation—0
A Neural Network Approach for Knowledge-Driven Response GenerationCode0
A Simple, Fast Diverse Decoding Algorithm for Neural GenerationCode0
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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