Cover Image

Towards Zero-Shot, Controllable Dialog Planning with LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Väth, Dirk, Vu, Ngoc Thang
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

Towards a Zero-Data, Controllable, Adaptive Dialog System
by: Väth, Dirk, et al.
Published: (2024)

Investigating the effect of Mental Models in User Interaction with an Adaptive Dialog Agent
by: Vanderlyn, Lindsey, et al.
Published: (2024)

Conversational Tree Search: A New Hybrid Dialog Task
by: Väth, Dirk, et al.
Published: (2023)

Prompting-based Synthetic Data Generation for Few-Shot Question Answering
by: Schmidt, Maximilian, et al.
Published: (2024)

Intrinsic Subgraph Generation for Interpretable Graph based Visual Question Answering
by: Tilli, Pascal, et al.
Published: (2024)

Discrete Subgraph Sampling for Interpretable Graph based Visual Question Answering
by: Tilli, Pascal, et al.
Published: (2024)

Controlling Emotion in Text-to-Speech with Natural Language Prompts
by: Bott, Thomas, et al.
Published: (2024)

Teaching a Multilingual Large Language Model to Understand Multilingual Speech via Multi-Instructional Training
by: Denisov, Pavel, et al.
Published: (2024)

The Impact of Code-switched Synthetic Data Quality is Task Dependent: Insights from MT and ASR
by: Hamed, Injy, et al.
Published: (2025)

Improving noisy student training for low-resource languages in End-to-End ASR using CycleGAN and inter-domain losses
by: Li, Chia-Yu, et al.
Published: (2024)

Training Zero-Shot Generalizable End-to-End Task-Oriented Dialog System Without Turn-level Dialog Annotations
by: Mosharrof, Adib, et al.
Published: (2024)

Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings
by: Zhou, Wei, et al.
Published: (2024)

A Toolbox for Improving Evolutionary Prompt Search
by: Grießhaber, Daniel, et al.
Published: (2025)

Probing the Feasibility of Multilingual Speaker Anonymization
by: Meyer, Sarina, et al.
Published: (2024)

Thought Flow Nets: From Single Predictions to Trains of Model Thought
by: Schuff, Hendrik, et al.
Published: (2021)

MedAI Dialog Corpus (MEDIC): Zero-Shot Classification of Doctor and AI Responses in Health Consultations
by: Ojo, Olumide E., et al.
Published: (2023)

Explaining Caption-Image Interactions in CLIP Models with Second-Order Attributions
by: Möller, Lucas, et al.
Published: (2024)

On Zero-Shot Counterspeech Generation by LLMs
by: Saha, Punyajoy, et al.
Published: (2024)

Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages
by: Mullov, Carlos, et al.
Published: (2024)

Are LLMs Good Zero-Shot Fallacy Classifiers?
by: Pan, Fengjun, et al.
Published: (2024)

Toward Zero-Shot Instruction Following
by: Lou, Renze, et al.
Published: (2023)

Zero-Shot Text-to-Speech for Vietnamese
by: Vu, Thi, et al.
Published: (2025)

A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions
by: Hamed, Injy, et al.
Published: (2025)

LLMs Are Zero-Shot Context-Aware Simultaneous Translators
by: Koshkin, Roman, et al.
Published: (2024)

Better Benchmarking LLMs for Zero-Shot Dependency Parsing
by: Ezquerro, Ana, et al.
Published: (2025)

Zero-Shot Belief: A Hard Problem for LLMs
by: Murzaku, John, et al.
Published: (2025)

Towards Zero-Shot Multimodal Machine Translation
by: Futeral, Matthieu, et al.
Published: (2024)

Zero-Shot Generalizable End-to-End Task-Oriented Dialog System using Context Summarization and Domain Schema
by: Mosharrof, Adib, et al.
Published: (2023)

Taxonomy-Guided Zero-Shot Recommendations with LLMs
by: Liang, Yueqing, et al.
Published: (2024)

OmniVox: Zero-Shot Emotion Recognition with Omni-LLMs
by: Murzaku, John, et al.
Published: (2025)

GRP: Goal-Reversed Prompting for Zero-Shot Evaluation with LLMs
by: Song, Mingyang, et al.
Published: (2025)

Zero-Shot Strategies for Length-Controllable Summarization
by: Retkowski, Fabian, et al.
Published: (2024)

Towards Smarter Hiring: Are Zero-Shot and Few-Shot Pre-trained LLMs Ready for HR Spoken Interview Transcript Analysis?
by: Maity, Subhankar, et al.
Published: (2025)

Combining Data Generation and Active Learning for Low-Resource Question Answering
by: Kimmich, Maximilian, et al.
Published: (2022)

Zero-Shot Clinical Trial Patient Matching with LLMs
by: Wornow, Michael, et al.
Published: (2024)

Are Stereotypes Leading LLMs' Zero-Shot Stance Detection ?
by: Dubreuil, Anthony, et al.
Published: (2025)

Zero-Shot Stance Detection using Contextual Data Generation with LLMs
by: Mahmoudi, Ghazaleh, et al.
Published: (2024)

Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian Languages
by: Moore, Stephen E., et al.
Published: (2026)

Analysing Zero-Shot Readability-Controlled Sentence Simplification
by: Barayan, Abdullah, et al.
Published: (2024)

HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?
by: Ji, Sijie, et al.
Published: (2024)