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 751–800 of 914 papers

TitleStatusHype
Improving Factual Consistency Between a Response and Persona Facts—0
Generating Persuasive Responses to Customer Reviews with Multi-Source Prior Knowledge in E-commerce—0
Generating Stylistically Consistent Dialog Responses with Transfer Learning—0
Generative Deep Neural Networks for Dialogue: A Short Review—0
Generic Mechanism for Reducing Repetitions in Encoder-Decoder Models—0
GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation—0
Goal-Embedded Dual Hierarchical Model for Task-Oriented Dialogue Generation—0
Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting—0
GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning—0
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks—0
The World is Not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection—0
Grounded and Transparent Response Generation for Conversational Information-Seeking Systems—0
Grounded Dialogue Generation with Cross-encoding Re-ranker, Grounding Span Prediction, and Passage Dropout—0
GrounDial: Human-norm Grounded Safe Dialog Response Generation—0
Grounding is All You Need? Dual Temporal Grounding for Video Dialog—0
Group Linguistic Bias Aware Neural Response Generation—0
Guiding Topic Flows in the Generative Chatbot by Enhancing the ConceptNet with the Conversation Corpora—0
Guiding Variational Response Generator to Exploit Persona—0
Hallucinate at the Last in Long Response Generation: A Case Study on Long Document Summarization—0
Harmonizing Code-mixed Conversations: Personality-assisted Code-mixed Response Generation in Dialogues—0
Harnessing Large Language Models' Empathetic Response Generation Capabilities for Online Mental Health Counselling Support—0
Hawkeye:Efficient Reasoning with Model Collaboration—0
Hierarchy Response Learning for Neural Conversation Generation—0
HierTOD: A Task-Oriented Dialogue System Driven by Hierarchical Goals—0
HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA—0
HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation—0
HSCJN: A Holistic Semantic Constraint Joint Network for Diverse Response Generation—0
Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation—0
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data—0
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data—0
CHATEDIT: Towards Multi-turn Interactive Facial Image Editing via Dialogue—0
Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation—0
Immigration Document Classification and Automated Response Generation—0
Improv Chat: Second Response Generation for Chatbot—0
Improving Contextual Coherence in Variational Personalized and Empathetic Dialogue Agents—0
Improving Conversational Recommendation Systems’ Quality with Context-Aware Item Meta-Information—0
Improving Conversational Recommendation Systems’ Quality with Context-Aware Item Meta-Information—0
Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations—0
Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentation—0
Improving Knowledge-Aware Dialogue Response Generation by Using Human-Written Prototype Dialogues—0
Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model—0
Improving Response Diversity through Commonsense-Aware Empathetic Response Generation—0
Improving Retrieval Augmented Language Model with Self-Reasoning—0
Improving the Robustness of Large Language Models via Consistency Alignment—0
Incorporating Causal Analysis into Diversified and Logical Response Generation—0
Incorporating Casual Analysis into Diversified and Logical Response Generation—0
Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots—0
Incorporating Relevant Knowledge in Context Modeling and Response Generation—0
Inducing Global and Local Knowledge Attention in Multi-turn Dialog Understanding—0
InferEM: Inferring the Speaker's Intention for Empathetic Dialogue 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