Cover Image

State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gu, Ming, Yang, Yan, Chen, Chengcai, Yu, Zhou
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Plan, Generate and Complicate: Improving Low-resource Dialogue State Tracking via Easy-to-Difficult Zero-shot Data Augmentation
by: Gu, Ming, et al.
Published: (2024)

A Two-dimensional Zero-shot Dialogue State Tracking Evaluation Method using GPT-4
by: Gu, Ming, et al.
Published: (2024)

CorrectionLM: Self-Corrections with SLM for Dialogue State Tracking
by: Lee, Chia-Hsuan, et al.
Published: (2024)

Chain of Thought Explanation for Dialogue State Tracking
by: Xu, Lin, et al.
Published: (2024)

Continual Dialogue State Tracking via Reason-of-Select Distillation
by: Feng, Yujie, et al.
Published: (2024)

UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking
by: Li, Chuang, et al.
Published: (2023)

Zero-Shot Cross-Domain Dialogue State Tracking via Dual Low-Rank Adaptation
by: Luo, Xiang, et al.
Published: (2024)

Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Tracking
by: Finch, James D., et al.
Published: (2024)

Intent-driven In-context Learning for Few-shot Dialogue State Tracking
by: Yi, Zihao, et al.
Published: (2024)

MoPE: Mixture of Prefix Experts for Zero-Shot Dialogue State Tracking
by: Tang, Tianwen, et al.
Published: (2024)

Granular Change Accuracy: A More Accurate Performance Metric for Dialogue State Tracking
by: Aksu, Taha, et al.
Published: (2024)

Confidence Estimation for LLM-Based Dialogue State Tracking
by: Sun, Yi-Jyun, et al.
Published: (2024)

Diable: Efficient Dialogue State Tracking as Operations on Tables
by: Lesci, Pietro, et al.
Published: (2023)

OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking
by: Lee, Chia-Hsuan, et al.
Published: (2023)

Inference is All You Need: Self Example Retriever for Cross-domain Dialogue State Tracking with ChatGPT
by: Lee, Jihyun, et al.
Published: (2024)

Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot
by: Lee, Sejin, et al.
Published: (2024)

Dynamic Knowledge Fusion for Multi-Domain Dialogue State Tracking
by: Su, Haoxiang, et al.
Published: (2026)

DiaSynth: Synthetic Dialogue Generation Framework for Low Resource Dialogue Applications
by: Suresh, Sathya Krishnan, et al.
Published: (2024)

Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries
by: Lee, Seanie, et al.
Published: (2024)

Interpretable and Robust Dialogue State Tracking via Natural Language Summarization with LLMs
by: Carranza, Rafael, et al.
Published: (2025)

Injecting linguistic knowledge into BERT for Dialogue State Tracking
by: Feng, Xiaohan, et al.
Published: (2023)

Joint Speech and Text Training for LLM-Based End-to-End Spoken Dialogue State Tracking
by: Vendrame, Katia, et al.
Published: (2025)

Single- vs. Dual-Prompt Dialogue Generation with LLMs for Job Interviews in Human Resources
by: De Baer, Joachim, et al.
Published: (2025)

Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking
by: Gu, Yiyang, et al.
Published: (2024)

Schema Augmentation for Zero-Shot Domain Adaptation in Dialogue State Tracking
by: Richardson, Christopher, et al.
Published: (2024)

Continual Dialogue State Tracking via Example-Guided Question Answering
by: Cho, Hyundong, et al.
Published: (2023)

Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment
by: Sun, Hongda, et al.
Published: (2025)

Sparse Rewards Can Self-Train Dialogue Agents
by: Lattimer, Barrett Martin, et al.
Published: (2024)

Discourse-Aware Dual-Track Streaming Response for Low-Latency Spoken Dialogue Systems
by: Liu, Siyuan, et al.
Published: (2026)

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs
by: Sedláček, Šimon, et al.
Published: (2025)

Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Generation for Few-shot Learning
by: Li, Chengzhengxu, et al.
Published: (2023)

Beyond Single-User Dialogue: Assessing Multi-User Dialogue State Tracking Capabilities of Large Language Models
by: Song, Sangmin, et al.
Published: (2025)

Controllable and Diverse Data Augmentation with Large Language Model for Low-Resource Open-Domain Dialogue Generation
by: Liu, Zhenhua, et al.
Published: (2024)

DZ-TDPO: Non-Destructive Temporal Alignment for Mutable State Tracking in Long-Context Dialogue
by: Liao, Yijun
Published: (2025)

A State-Update Prompting Strategy for Efficient and Robust Multi-turn Dialogue
by: Liu, Ziyi
Published: (2025)

Acknowledgment of Emotional States: Generating Validating Responses for Empathetic Dialogue
by: Pang, Zi Haur, et al.
Published: (2024)

Transforming Slot Schema Induction with Generative Dialogue State Inference
by: Finch, James D., et al.
Published: (2024)

Training Prompt Matters: State-Adaptive Optimization for Robust Fine-Tuning
by: Shi, Wenhang, et al.
Published: (2026)

A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation
by: Song, Haoyu, et al.
Published: (2024)

MCTSr-Zero: Self-Reflective Psychological Counseling Dialogues Generation via Principles and Adaptive Exploration
by: Lu, Hao, et al.
Published: (2025)