SOTAVerified

Response Generation

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

Papers

Showing 901–914 of 914 papers

TitleStatusHype
Generative Deep Neural Networks for Dialogue: A Short Review—0
Detecting Context Dependent Messages in a Conversational Environment—0
Learning to Start for Sequence to Sequence Architecture—0
Topic Aware Neural Response GenerationCode0
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response GenerationCode0
A Hierarchical Latent Variable Encoder-Decoder Model for Generating DialoguesCode0
How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response GenerationCode0
A Persona-Based Neural Conversation ModelCode0
A Diversity-Promoting Objective Function for Neural Conversation ModelsCode0
Response Generation in Dialogue Using a Tailored PCFG Parser—0
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses—0
Context-Dependent Automatic Response Generation Using Statistical Machine Translation Techniques—0
NaDiR: Naive Distributional Response Generation—0
Response Generation Based on Hierarchical Semantic Structure with POMDP Re-ranking for Conversational Dialogue Systems—0
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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