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 426–450 of 914 papers

TitleStatusHype
Intent-Aware Self-Correction for Mitigating Social Biases in Large Language Models—0
Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models—0
IntrinsicVoice: Empowering LLMs with Intrinsic Real-time Voice Interaction Abilities—0
Investigating Content Planning for Navigating Trade-offs in Knowledge-Grounded Dialogue—0
Investigating Context-Faithfulness in Large Language Models: The Roles of Memory Strength and Evidence Style—0
A Survey on Retrieval-Augmented Text Generation—0
IRLab@iKAT24: Learned Sparse Retrieval with Multi-aspect LLM Query Generation for Conversational Search—0
App-Aware Response Synthesis for User Reviews—0
基于对话约束的回复生成研究(Research on Response Generation via Dialogue Constraints)—0
Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning—0
Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation—0
CoLV: A Collaborative Latent Variable Model for Knowledge-Grounded Dialogue Generation—0
Jointly Optimizing Diversity and Relevance in Neural Response Generation—0
Learning to Acquire Knowledge from a Search Engine for Dialogue 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
Learning to Control the Specificity in Neural Response Generation—0
Enhancing Knowledge Selection for Grounded Dialogues via Document Semantic Graphs—0
Detecting Response Generation Not Requiring Factual Judgment—0
Know Deeper: Knowledge-Conversation Cyclic Utilization Mechanism for Open-domain Dialogue Generation—0
CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks—0
Knowledge Augmented Finetuning Matters in both RAG and Agent Based Dialog Systems—0
A Survey on Dialogue Systems: Recent Advances and New Frontiers—0
Enhancing Dialogue Generation in Werewolf Game Through Situation Analysis and Persuasion Strategies—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