SOTAVerified

Dialogue Generation

Dialogue generation is the task of "understanding" natural language inputs - within natural language processing in order to produce output. The systems are usually intended for conversing with humans, for instance back and forth dialogue with a conversation agent like a chatbot. Some example benchmarks for this task (see others such as Natural Language Understanding) include FusedChat and Ubuntu DIalogue Corpus (UDC). Models can be evaluated via metrics such as BLEU, ROUGE, and METEOR albeit with challenges in terms of weak correlation with human judgement, that may be addressed by new ones like UnSupervised and Reference-free (USR) and Metric for automatic Unreferenced dialog evaluation (MaUde).

Papers

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Showing 301–350 of 606 papers

TitleStatusHype
J-CHAT: Japanese Large-scale Spoken Dialogue Corpus for Spoken Dialogue Language Modeling—0
Jointly Optimizing Diversity and Relevance in Neural Response Generation—0
Counterfactual Off-Policy Training for Neural Response Generation—0
Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations—0
Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation—0
Know Deeper: Knowledge-Conversation Cyclic Utilization Mechanism for Open-domain Dialogue Generation—0
Almanac: Retrieval-Augmented Language Models for Clinical Medicine—0
Conversation AI Dialog for Medicare powered by Finetuning and Retrieval Augmented Generation—0
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation—0
Knowledge-graph based Proactive Dialogue Generation with Improved Meta-Learning—0
Knowledge Graph is in Rescue: Task Oriented Dialogue System for Response Generation without NLU and DM—0
Controlling Style in Generated Dialogue—0
Aligning Dialogue Agents with Global Feedback via Large Language Model Reward Decomposition—0
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation—0
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation—0
Knowledge-Grounded Response Generation with Deep Attentional Latent-Variable Model—0
Text is NOT Enough: Integrating Visual Impressions into Open-domain Dialogue Generation—0
KSAM: Infusing Multi-Source Knowledge into Dialogue Generation via Knowledge Source Aware Multi-Head Decoding—0
Language coverage and generalization in RNN-based continuous sentence embeddings for interacting agents—0
The Panacea Threat Intelligence and Active Defense Platform—0
Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction—0
There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning—0
When Crowd Meets Persona: Creating a Large-Scale Open-Domain Persona Dialogue Corpus—0
Controllable Meaning Representation to Text Generation: Linearization and Data Augmentation Strategies—0
Learning from Mistakes: Combining Ontologies via Self-Training for Dialogue Generation—0
Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training—0
Learning Low-frequency Patterns with A Pre-trained Document-Grounded Conversation Model—0
Controllable Dialogue Generation with Disentangled Multi-grained Style Specification and Attribute Consistency Reward—0
Learning Personas from Dialogue with Attentive Memory Networks—0
When Harry Meets Superman: The Role of The Interlocutor in Persona-Based Dialogue Generation—0
A Knowledge storage and semantic space alignment Method for Multi-documents dialogue generation—0
Learning to Diversify Neural Text Generation via Degenerative Model—0
Learning to Express in Knowledge-Grounded Conversation—0
Learning to Improve Persona Consistency in Multi-party Dialogue Generation via Text Knowledge Enhancement—0
Controllable and Diverse Data Augmentation with Large Language Model for Low-Resource Open-Domain Dialogue Generation—0
Learning to Select Context in a Hierarchical and Global Perspective for Open-domain Dialogue Generation—0
Learning towards Selective Data Augmentation for Dialogue Generation—0
Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation—0
Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation—0
Leveraging Chain of Thought towards Empathetic Spoken Dialogue without Corresponding Question-Answering Data—0
Contrastive Speaker-Aware Learning for Multi-party Dialogue Generation with LLMs—0
A Joint Training Framework for Open-World Knowledge Graph Embeddings—0
Contextual Knowledge Learning For Dialogue Generation—0
Listening to Patients: A Framework of Detecting and Mitigating Patient Misreport for Medical Dialogue Generation—0
LLMR: Knowledge Distillation with a Large Language Model-Induced Reward—0
Topic-switch adapted Japanese Dialogue System based on PLATO-2—0
When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation—0
Context-dependent Instruction Tuning for Dialogue Response Generation—0
Low-Resource Knowledge-Grounded Dialogue Generation—0
M2K-VDG: Model-Adaptive Multimodal Knowledge Anchor Enhanced Video-grounded Dialogue Generation—0
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All datasetsPersona-ChatFusedChatHarry Potter Dialogue DatasetAmazon-5CMU DoGPG-19Reddit (multi-ref)Twitter Dialogue (Noun)Twitter Dialogue (Tense)Ubuntu Dialogue (Activity)Ubuntu Dialogue (Cmd)Ubuntu Dialogue (Entity)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LMEDRAvg F121.99—Unverified
2P^2 BotAvg F119.77—Unverified
3TransferTransfoAvg F119.09—Unverified
4Seq2Seq + AttentionAvg F116.18—Unverified
5Synthesizer (R+V)BLEU-114.7—Unverified
6KV Profile MemoryAvg F111.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Classification-based modelSlot Accuracy0.97—Unverified
2Two-in-one modelSlot Accuracy0.97—Unverified
#ModelMetricClaimedVerifiedStatus
1EVAmauve0.97—Unverified
2Per-BOBmauve0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1mm1 in 10 R@25—Unverified
#ModelMetricClaimedVerifiedStatus
1∞-former (Sticky memories)F19.01—Unverified
#ModelMetricClaimedVerifiedStatus
1∞-former (Sticky memories + initialized GPT-2 Small)Perplexity32.48—Unverified
#ModelMetricClaimedVerifiedStatus
1SpaceFusioninterest (human)2.53—Unverified
#ModelMetricClaimedVerifiedStatus
1MrRNN Act.-Ent.F14.63—Unverified
#ModelMetricClaimedVerifiedStatus
1MrRNN Act.-Ent.Accuracy34.48—Unverified
#ModelMetricClaimedVerifiedStatus
1MrRNN Act.-Ent.F111.43—Unverified
#ModelMetricClaimedVerifiedStatus
1MrRNN Act.-Ent.Accuracy95.04—Unverified
#ModelMetricClaimedVerifiedStatus
1MrRNN Act.-Ent.F13.72—Unverified
#ModelMetricClaimedVerifiedStatus
1MrRNN Act.-Ent.Accuracy29.01—Unverified