Dialogue Generation
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Benchmarks
Persona-Chat
FusedChat
Amazon-5
CMU-DoG
PG-19
Reddit (multi-ref)
Twitter Dialogue (Noun)
Twitter Dialogue (Tense)
Ubuntu Dialogue (Cmd)
Ubuntu Dialogue (Entity)
Ubuntu Dialogue (Tense)
Most implemented
Neural Machine Translation by Jointly Learning to Align and Translate
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
Personalizing Dialogue Agents: I have a dog, do you have pets too?
Adversarial Learning for Neural Dialogue Generation
Papers
Controlling and Assessing Appropriate Persona Use in LLM-based Dialogue Generation
In persona-based dialogue generation (PDG), LLMs often overuse persona attributes by incorporating them regardless of dialogue context, resulting in unnatural responses. Despite its practical significance, the underlying…
Response GenerationDialogue GenerationStranger, Fan, or Peer? A Systematic Study on the Role of Interlocutor in Persona-Based Dialogue Generation
Persona-based dialogue systems are usually conditioned on speaker biography, but dialogues involve at least two participants, and who has access to whose biography can vary across training, inference, and evaluation. Pri…
Dialogue GenerationEmoTrace: An Emotion Trajectory-Centered Framework for Psychological Support Dialogue Generation
Using large language models (LLMs) to assist psychological counseling is an important task in the field of natural language processing. The construction of high-quality psychological support dialogue corpora serves as a …
Dialogue GenerationIndicTalk: A Large-Scale Persona-Based Multilingual Conversational Corpus for Indic Languages
Large Language Models (LLMs) have transformed conversational AI, yet high-quality multilingual code-mixed dialogue resources remain scarce, particularly for Indic languages where speakers naturally alternate between Engl…
Dialogue GenerationConversational Human Audio-visual Talking Dialogue Generation
Large-scale dyadic interactive audio-visual dialogue (DIAD) datasets provide fundamental data resources for developing humanoid interactive virtual agents and digital humans. However, collecting such data is time-consumi…
Dialogue GenerationPRIDE: Privileged Information-enhanced Distillation for Empathetic Dialogue Generation
Large language models have demonstrated significant capabilities in generating diverse and context-aware responses for empathetic dialogue. However, their computational demands severely limit their deployment in resource…
Knowledge DistillationDialogue Generation