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 726–750 of 914 papers

TitleStatusHype
Self-training with Two-phase Self-augmentation for Few-shot Dialogue GenerationCode0
Improving Response Quality with Backward Reasoning in Open-domain Dialogue SystemsCode0
Improving Neural Response Diversity with Frequency-Aware Cross-Entropy LossCode0
Self-Consistent Decoding for More Factual Open ResponsesCode0
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language ModelsCode0
Improving Neural Conversational Models with Entropy-Based Data FilteringCode0
Personalized LLM for Generating Customized Responses to the Same Query from Different UsersCode0
Personalized LLM Response Generation with Parameterized Memory InjectionCode0
Controlling the Focus of Pretrained Language Generation ModelsCode0
DuetSim: Building User Simulator with Dual Large Language Models for Task-Oriented DialoguesCode0
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog GenerationCode0
Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge GraphCode0
Controllable Generation of Dialogue Acts for Dialogue Systems via Few-Shot Response Generation and RankingCode0
Improving Knowledge-aware Dialogue Generation via Knowledge Base Question AnsweringCode0
Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other AwarenessCode0
Improving Context Modelling in Multimodal Dialogue GenerationCode0
Implicit Deep Latent Variable Models for Text GenerationCode0
Phrase-Level Action Reinforcement Learning for Neural Dialog Response GenerationCode0
Joint Reasoning on Hybrid-knowledge sources for Task-Oriented DialogCode0
PICK: Polished & Informed Candidate Scoring for Knowledge-Grounded Dialogue SystemsCode0
KERS: A Knowledge-Enhanced Framework for Recommendation Dialog Systems with Multiple SubgoalsCode0
Controllable Factuality in Document-Grounded Dialog Systems Using a Noisy Channel ModelCode0
Augmenting Neural Response Generation with Context-Aware Topical AttentionCode0
How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queriesCode0
How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response GenerationCode0
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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