Papers Dialogue Management
“Dialogue Management” 태그가 달린 논문 197편 · 필터 해제
DeepPsy-Agent: A Stage-Aware and Deep-Thinking Emotional Support Agent System
This paper introduces DeepPsy-Agent, an innovative psychological support system that combines the three-stage helping theory in psychology with deep learning techniques. The system consists of two core components: (1) a …
Dialogue ManagementLLM-Enhanced Dialogue Management for Full-Duplex Spoken Dialogue Systems
Achieving full-duplex communication in spoken dialogue systems (SDS) requires real-time coordination between listening, speaking, and thinking. This paper proposes a semantic voice activity detection (VAD) module as a di…
Action DetectionActivity DetectionDecision MakingDialogue Management+3Incremental Dialogue Management: Survey, Discussion, and Implications for HRI
Efforts towards endowing robots with the ability to speak have benefited from recent advancements in NLP, in particular large language models. However, as powerful as current models have become, they still operate on sen…
Dialogue ManagementManagementSentencespeech-recognition+3HierTOD: A Task-Oriented Dialogue System Driven by Hierarchical Goals
Task-Oriented Dialogue (TOD) systems assist users in completing tasks through natural language interactions, often relying on a single-layered workflow structure for slot-filling in public tasks, such as hotel bookings. …
Dialogue ManagementManagementNatural Language UnderstandingResponse Generation+2Experimental Evaluation of Machine Learning Models for Goal-oriented Customer Service Chatbot with Pipeline Architecture
Integrating machine learning (ML) into customer service chatbots enhances their ability to understand and respond to user queries, ultimately improving service performance. However, they may appear artificial to some use…
ChatbotDialogue ManagementIntent DetectionLanguage Modelling+5Thread Detection and Response Generation using Transformers with Prompt Optimisation
Conversational systems are crucial for human-computer interaction, managing complex dialogues by identifying threads and prioritising responses. This is especially vital in multi-party conversations, where precise identi…
Dialogue ManagementLanguage ModelingLanguage ModellingLarge Language Model+2IAI MovieBot 2.0: An Enhanced Research Platform with Trainable Neural Components and Transparent User Modeling
While interest in conversational recommender systems has been on the rise, operational systems suitable for serving as research platforms for comprehensive studies are currently lacking. This paper introduces an enhanced…
Conversational RecommendationDialogue ManagementNatural Language UnderstandingIlluminate: A novel approach for depression detection with explainable analysis and proactive therapy using prompt engineering
This paper introduces a novel paradigm for depression detection and treatment using advanced Large Language Models (LLMs): Generative Pre-trained Transformer 4 (GPT-4), Llama 2 chat, and Gemini. These LLMs are fine-tuned…
Depression DetectionDialogue ManagementManagementPrompt EngineeringOmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue System
Pre-trained conversation models (PCMs) have demonstrated remarkable results in task-oriented dialogue (TOD) systems. Many PCMs focus predominantly on dialogue management tasks like dialogue state tracking, dialogue gener…
Dialogue GenerationDialogue ManagementDialogue State Trackingintent-classification+6NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems. Guardrails (or rails for short) are a specific way of controlling the output of an LLM, such as not…
Dialogue ManagementManagementImproving Dialogue Management: Quality Datasets vs Models
Task-oriented dialogue systems (TODS) have become crucial for users to interact with machines and computers using natural language. One of its key components is the dialogue manager, which guides the conversation towards…
Dialog LearningDialogue ManagementManagementReinforcement Learning (RL)+1Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System
We introduce TacoBot, a user-centered task-oriented digital assistant designed to guide users through complex real-world tasks with multiple steps. Covering a wide range of cooking and how-to tasks, we aim to deliver a c…
Data AugmentationDialogue ManagementManagementResponse Generation+1Towards a Neural Era in Dialogue Management for Collaboration: A Literature Survey
Dialogue-based human-AI collaboration can revolutionize collaborative problem-solving, creative exploration, and social support. To realize this goal, the development of automated agents proficient in skills such as nego…
Dialogue ManagementManagementSurveyLeveraging Large Language Models in Conversational Recommender Systems
A Conversational Recommender System (CRS) offers increased transparency and control to users by enabling them to engage with the system through a real-time multi-turn dialogue. Recently, Large Language Models (LLMs) have…
Common Sense ReasoningDialogue ManagementManagementRecommendation Systems+1Multi-Task End-to-End Training Improves Conversational Recommendation
In this paper, we analyze the performance of a multitask end-to-end transformer model on the task of conversational recommendations, which aim to provide recommendations based on a user's explicit preferences expressed i…
Conversational RecommendationDialogue ManagementManagementMovie RecommendationEricson: An Interactive Open-Domain Conversational Search Agent
Open-domain conversational search (ODCS) aims to provide valuable, up-to-date information, while maintaining natural conversations to help users refine and ultimately answer information needs. However, creating an effect…
Conversational SearchDialogue ManagementInformation Retrievalintent-classification+4Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management
Reinforcement learning (RL) has shown great promise for developing dialogue management (DM) agents that are non-myopic, conduct rich conversations, and maximize overall user satisfaction. Despite recent developments in R…
Dialogue ManagementDiversityManagementreinforcement-learning+2Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning
Dialogue state tracking (DST) is an important step in dialogue management to keep track of users' beliefs. Existing works fine-tune all language model (LM) parameters to tackle the DST task, which requires significant da…
Dialogue ManagementDialogue State TrackingLanguage ModelingLanguage Modelling+1A Survey on Conversational Search and Applications in Biomedicine
This paper aims to provide a radical rundown on Conversation Search (ConvSearch), an approach to enhance the information retrieval method where users engage in a dialogue for the information-seeking tasks. In this survey…
Conversational SearchDialogue ManagementInformation RetrievalManagement+4GraphWOZ: Dialogue Management with Conversational Knowledge Graphs
We present a new approach to dialogue management using conversational knowledge graphs as core representation of the dialogue state. To this end, we introduce a new dataset, GraphWOZ, which comprises Wizard-of-Oz dialogu…
Dialogue ManagementEntity LinkingKnowledge GraphsManagement