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 276–300 of 914 papers

TitleStatusHype
Controlling the Focus of Pretrained Language Generation Models—0
Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models—0
Improving Factual Consistency Between a Response and Persona Facts—0
Controlling Pretrained Language Generation Models by Learning to Focus—0
Automatic Evaluation of Neural Personality-based Chatbots—0
Controllable Response Generation for Assistive Use-cases—0
A Unified Pre-training Framework for Conversational AI—0
ALMA: Alignment with Minimal Annotation—0
A Discrete CVAE for Response Generation on Short-Text Conversation—0
Generating Persuasive Responses to Customer Reviews with Multi-Source Prior Knowledge in E-commerce—0
GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation—0
A Unified Neural Architecture for Joint Dialog Act Segmentation and Recognition in Spoken Dialog System—0
Controllable Dialogue Generation with Disentangled Multi-grained Style Specification and Attribute Consistency Reward—0
Generate, Evaluate, and Select: A Dialogue System with a Response Evaluator for Diversity-Aware Response Generation—0
Contextual Knowledge Learning For Dialogue Generation—0
Generating Diverse Translation by Manipulating Multi-Head Attention—0
Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems—0
Contextual Data Augmentation for Task-Oriented Dialog Systems—0
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems—0
Context Matters in Semantically Controlled Language Generation for Task-oriented Dialogue Systems—0
Context-dependent Instruction Tuning for Dialogue Response Generation—0
Augmenting Topic Aware Knowledge-Grounded Conversations with Dynamic Built Knowledge Graphs—0
A Dataset of General-Purpose Rebuttal—0
Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models—0
Context-Dependent Automatic Response Generation Using Statistical Machine Translation Techniques—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