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 676–700 of 914 papers

TitleStatusHype
Augmenting Knowledge-grounded Conversations with Sequential Knowledge Transition—0
Entity Resolution in Open-domain Conversations—0
Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training—0
Multi-Task Learning of Generation and Classification for Emotion-Aware Dialogue Response Generation—0
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation—0
KECRS: Towards Knowledge-Enriched Conversational Recommendation System—0
Empathetic Dialog Generation with Fine-Grained IntentsCode0
A Unified Pre-training Framework for Conversational AI—0
Improving Response Quality with Backward Reasoning in Open-domain Dialogue SystemsCode0
Auto Response Generation in Online Medical Chat Services—0
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems—0
Probing Commonsense Explanation in Dialogue Response Generation—0
Emotion-Regularized Conditional Variational Autoencoder for Emotional Response Generation—0
Conversational Semantic Role Labeling—0
Modelling Context Emotions using Multi-task Learning for Emotion Controlled Dialog Generation—0
Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models—0
An Emotion-controlled Dialog Response Generation Model with Dynamic Vocabulary—0
NUBOT: Embedded Knowledge Graph With RASA Framework for Generating Semantic Intents Responses in Roman Urdu—0
Learning to Select External Knowledge with Multi-Scale Negative Sampling—0
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation—0
Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response GenerationCode0
Refine and Imitate: Reducing Repetition and Inconsistency in Dialogue Generation via Reinforcement Learning and Human Demonstration—0
Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration—0
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems—0
CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts—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