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 751–800 of 914 papers

TitleStatusHype
The World is Not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection—0
Stylistic Dialogue Generation via Information-Guided Reinforcement Learning Strategy—0
Open Domain Dialogue Generation with Latent Images—0
Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks—0
Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network—0
Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation—0
Low-Resource Knowledge-Grounded Dialogue Generation—0
Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models—0
Mask & Focus: Conversation Modelling by Learning Concepts—0
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data AugmentationCode0
Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog—0
MALA: Cross-Domain Dialogue Generation with Action Learning—0
Improving Knowledge-aware Dialogue Generation via Knowledge Base Question AnsweringCode0
HSCJN: A Holistic Semantic Constraint Joint Network for Diverse Response Generation—0
Relevance-Promoting Language Model for Short-Text Conversation—0
A Discrete CVAE for Response Generation on Short-Text Conversation—0
Generating Diverse Translation by Manipulating Multi-Head Attention—0
Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response GenerationCode0
Aging Memories Generate More Fluent Dialogue Responses with Memory Augmented Neural Networks—0
Guiding Variational Response Generator to Exploit Persona—0
Variational Hierarchical User-based Conversation ModelCode0
Hierarchy Response Learning for Neural Conversation Generation—0
Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders—0
Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework—0
Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning—0
Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots—0
Diversifying Topic-Coherent Response Generation for Natural Multi-turn Conversations—0
Unsupervised Context Rewriting for Open Domain Conversation—0
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent VariableCode0
Using a KG-Copy Network for Non-Goal Oriented DialoguesCode0
Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models—0
Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models—0
Low-Resource Response Generation with Template PriorCode0
LocalGAN: Modeling Local Distributions for Adversarial Response Generation—0
RGTI:Response generation via templates integration for End to End dialog—0
Goal-Embedded Dual Hierarchical Model for Task-Oriented Dialogue Generation—0
Entity-Consistent End-to-end Task-Oriented Dialogue System with KB RetrieverCode0
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to DatabasesCode0
A Benchmark Dataset for Learning to Intervene in Online Hate SpeechCode0
Structuring Latent Spaces for Stylized Response GenerationCode0
A Dataset of General-Purpose Rebuttal—0
Implicit Deep Latent Variable Models for Text GenerationCode0
DeepCopy: Grounded Response Generation with Hierarchical Pointer Networks—0
Learning Interactive Behaviors for Musculoskeletal Robots Using Bayesian Interaction Primitives—0
Relevant and Informative Response Generation using Pointwise Mutual Information—0
ROAM: Recurrently Optimizing Tracking Model—0
CAiRE: An Empathetic Neural ChatbotCode0
DLGNet: A Transformer-based Model for Dialogue Response Generation—0
Effective Incorporation of Speaker Information in Utterance Encoding in Dialog—0
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue 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