:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gu, Ming, Yang, Yan
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2406.08860
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking
by: Gu, Ming, et al.
Published: (2024)

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

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

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)

Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentation
by: Chen, Xiangyan, et al.
Published: (2025)

ChatZero:Zero-shot Cross-Lingual Dialogue Generation via Pseudo-Target Language
by: Liu, Yongkang, et al.
Published: (2024)

Generate then Refine: Data Augmentation for Zero-shot Intent Detection
by: Lin, I-Fan, et al.
Published: (2024)

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

Frustratingly Easy Data Augmentation for Low-Resource ASR
by: Ibaraki, Katsumi, et al.
Published: (2025)

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

Large Language Models as Zero-shot Dialogue State Tracker through Function Calling
by: Li, Zekun, et al.
Published: (2024)

Demonstration Augmentation for Zero-shot In-context Learning
by: Su, Yi, et al.
Published: (2024)

Improving Zero-shot Sentence Decontextualisation with Content Selection and Planning
by: Deng, Zhenyun, et al.
Published: (2025)

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation
by: Du, Xinkai, et al.
Published: (2024)

Zero-shot Slot Filling in the Age of LLMs for Dialogue Systems
by: Rana, Mansi, et al.
Published: (2024)

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

A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation
by: Liu, Yongkang, et al.
Published: (2024)

Modulated Intervention Preference Optimization (MIPO): Keep the Easy, Refine the Difficult
by: Jang, Cheolhun
Published: (2024)

Improving Zero-shot LLM Re-Ranker with Risk Minimization
by: Yuan, Xiaowei, et al.
Published: (2024)

Zero-shot Graph Reasoning via Retrieval Augmented Framework with LLMs
by: Li, Hanqing, 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)

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

Translation and Fusion Improves Zero-shot Cross-lingual Information Extraction
by: Chen, Yang, et al.
Published: (2023)

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

Improving Dialogue State Tracking through Combinatorial Search for In-Context Examples
by: Pyun, Haesung, et al.
Published: (2025)

ReacTOD: Bounded Neuro-Symbolic Agentic NLU for Zero-Shot Dialogue State Tracking
by: Lin, Yanjun, et al.
Published: (2026)

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

Generating Difficult-to-Translate Texts
by: Zouhar, Vilém, et al.
Published: (2025)

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

Speak & Spell: LLM-Driven Controllable Phonetic Error Augmentation for Robust Dialogue State Tracking
by: Lee, Jihyun, et al.
Published: (2024)

Collaborative Knowledge Infusion for Low-resource Stance Detection
by: Yan, Ming, et al.
Published: (2024)

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

Data Augmentation Integrating Dialogue Flow and Style to Adapt Spoken Dialogue Systems to Low-Resource User Groups
by: Qi, Zhiyang, et al.
Published: (2024)

Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts
by: Zhang, Yifan, et al.
Published: (2024)

Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation
by: Gong, Jiaying, et al.
Published: (2021)

Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch
by: Di, Donglin, et al.
Published: (2024)

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

Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation
by: Zhang, Tong, et al.
Published: (2024)