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 826–850 of 914 papers

TitleStatusHype
Focus-Constrained Attention Mechanism for CVAE-based Response GenerationCode0
Void in Language ModelsCode0
Towards Building Large Scale Multimodal Domain-Aware Conversation SystemsCode0
Fine-grained Conversational Decoding via Isotropic and Proximal SearchCode0
FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAGCode0
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue GenerationCode0
CTRLStruct: Dialogue Structure Learning for Open-Domain Response GenerationCode0
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answeringCode0
Meta-Context Transformers for Domain-Specific Response GenerationCode0
Stylistic Response Generation by Controlling Personality Traits and IntentCode0
BoK: Introducing Bag-of-Keywords Loss for Interpretable Dialogue Response GenerationCode0
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue SystemsCode0
FADO: Feedback-Aware Double COntrolling Network for Emotional Support ConversationCode0
External Knowledge Selection with Weighted Negative Sampling in Knowledge-grounded Task-oriented Dialogue SystemsCode0
Hi Model, generating 'nice' instead of 'good' is not as bad as generating 'rice'! Towards Context and Semantic Infused Dialogue Generation Loss Function and Evaluation MetricCode0
Exploiting Emotion-Semantic Correlations for Empathetic Response GenerationCode0
Filtering Noisy Dialogue Corpora by Connectivity and Content RelatednessCode0
Uncovering Hidden Connections: Iterative Search and Reasoning for Video-grounded DialogCode0
Survey on Abstractive Text Summarization: Dataset, Models, and MetricsCode0
Modeling Content-Emotion Duality via Disentanglement for Empathetic ConversationCode0
KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords LearningCode0
cTBLS: Augmenting Large Language Models with Conversational TablesCode0
Countering Misinformation via Emotional Response GenerationCode0
Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language GenerationCode0
Evaluating Dialogue Generation Systems via Response SelectionCode0
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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