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 626–650 of 914 papers

TitleStatusHype
基于对话约束的回复生成研究(Research on Response Generation via Dialogue Constraints)—0
Jointly Optimizing Diversity and Relevance in Neural Response Generation—0
KECRS: Towards Knowledge-Enriched Conversational Recommendation System—0
K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning—0
KETOD: Knowledge-Enriched Task-Oriented Dialogue—0
Know Deeper: Knowledge-Conversation Cyclic Utilization Mechanism for Open-domain Dialogue Generation—0
Knowledge Augmented Finetuning Matters in both RAG and Agent Based Dialog Systems—0
Knowledge-enhanced Memory Model for Emotional Support Conversation—0
Knowledge Graph is in Rescue: Task Oriented Dialogue System for Response Generation without NLU and DM—0
Knowledge-Grounded Dialogue with Reward-Driven Knowledge Selection—0
Knowledge-Grounded Response Generation with Deep Attentional Latent-Variable Model—0
KPT: Keyword-guided Pre-training for Grounded Dialog Generation—0
Language Model Detoxification in Dialogue with Contextualized Stance Control—0
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue—0
Latent Topic Conversational Models—0
Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks—0
Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training—0
Learning Interactive Behaviors for Musculoskeletal Robots Using Bayesian Interaction Primitives—0
Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer—0
Learning to Acquire Knowledge from a Search Engine for Dialogue Response Generation—0
Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models—0
Learning to Control the Specificity in Neural Response Generation—0
Learning to Embed Multi-Modal Contexts for Situated Conversational Agents—0
Learning to Embed Multi-Modal Contexts for Situated Conversational Agents—0
Learning to Select External Knowledge with Multi-Scale Negative Sampling—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