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Found 7 papers, 4 papers with code
Prompt-Based Monte-Carlo Tree Search for Goal-Oriented Dialogue Policy Planning
Planning for goal-oriented dialogue often requires simulating future dialogue interactions and estimating task progress.
Controllable Mixed-Initiative Dialogue Generation through Prompting
The standard approach has been fine-tuning pre-trained language models to perform generation conditioned on these intents.
Pre-Finetuning for Few-Shot Emotional Speech Recognition
Speech models have long been known to overfit individual speakers for many classification tasks.
PLACES: Prompting Language Models for Social Conversation Synthesis
Collecting high quality conversational data can be very expensive for most applications and infeasible for others due to privacy, ethical, or similar concerns.
Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding
Dialogue understanding tasks often necessitate abundant annotated data to achieve good performance and that presents challenges in low-resource settings.
FastKASSIM: A Fast Tree Kernel-Based Syntactic Similarity Metric
Syntax is a fundamental component of language, yet few metrics have been employed to capture syntactic similarity or coherence at the utterance- and document-level.
Seamlessly Integrating Factual Information and Social Content with Persuasive Dialogue
Complex conversation settings such as persuasion involve communicating changes in attitude or behavior, so users' perspectives need to be addressed, even when not directly related to the topic.
