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 776–800 of 914 papers

TitleStatusHype
Topic Aware Neural Response GenerationCode0
Learning to Abstract for Memory-augmented Conversational Response GenerationCode0
Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for DialogueCode0
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-EncoderCode0
Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNetCode0
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluationCode0
Preference-Guided Reflective Sampling for Aligning Language ModelsCode0
GINGER: Grounded Information Nugget-Based Generation of ResponsesCode0
A Diversity-Promoting Objective Function for Neural Conversation ModelsCode0
Learning to Select Knowledge for Response Generation in Dialog SystemsCode0
CoMAC: Conversational Agent for Multi-Source Auxiliary Context with Sparse and Symmetric Latent InteractionsCode0
CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-TrainingCode0
Skeleton-to-Response: Dialogue Generation Guided by Retrieval MemoryCode0
Zero-Shot Generalizable End-to-End Task-Oriented Dialog System using Context Summarization and Domain SchemaCode0
LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language ModelsCode0
Promoting Open-domain Dialogue Generation through Learning Pattern Information between Contexts and ResponsesCode0
Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal DiscoveryCode0
Leveraging Explicit Reasoning for Inference Integration in Commonsense-Augmented Dialogue ModelsCode0
DialGuide: Aligning Dialogue Model Behavior with Developer GuidelinesCode0
Turning Flowchart into Dialog: Augmenting Flowchart-grounded Troubleshooting Dialogs via Synthetic Data GenerationCode0
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language ModelsCode0
Lexical Entrainment for Conversational SystemsCode0
Generative Knowledge Selection for Knowledge-Grounded DialoguesCode0
Decoding Methods for Neural Narrative GenerationCode0
Speaker Sensitive Response Evaluation ModelCode0
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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