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 851–875 of 914 papers

TitleStatusHype
LLM-Enhanced Dialogue Management for Full-Duplex Spoken Dialogue Systems—0
LLM-Ref: Enhancing Reference Handling in Technical Writing with Large Language Models—0
LLM-Safety Evaluations Lack Robustness—0
LocalGAN: Modeling Local Distributions for Adversarial Response Generation—0
Low-Resource Knowledge-Grounded Dialogue Generation—0
LSDSCC: a Large Scale Domain-Specific Conversational Corpus for Response Generation with Diversity Oriented Evaluation Metrics—0
Making History Matter: History-Advantage Sequence Training for Visual Dialog—0
MALA: Cross-Domain Dialogue Generation with Action Learning—0
Manual-Guided Dialogue for Flexible Conversational Agents—0
Many Hands Make Light Work: Task-Oriented Dialogue System with Module-Based Mixture-of-Experts—0
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming—0
Mask & Focus: Conversation Modelling by Learning Concepts—0
MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling—0
Medical Dialogue Generation via Intuitive-then-Analytical Differential Diagnosis—0
Medical Dialogue Response Generation with Pivotal Information Recalling—0
MEMD: A Diversity-Promoting Learning Framework for Short-Text Conversation—0
MentalAgora: A Gateway to Advanced Personalized Care in Mental Health through Multi-Agent Debating and Attribute Control—0
Meta-path Augmented Response Generation—0
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling—0
Mitigating Contradictions in Dialogue Based on Contrastive Learning—0
Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization—0
Mix-Initiative Response Generation with Dynamic Prefix Tuning—0
Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models—0
Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders—0
Modelling Context Emotions using Multi-task Learning for Emotion Controlled Dialog Generation—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