Cover Image

Modeling the One-to-Many Property in Open-Domain Dialogue with LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Jing Yang, Lee, Kong-Aik, Gan, Woon-Seng
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation
by: Li, Yiwei, et al.
Published: (2024)

Domain-Adapted Retrieval for In-Context Annotation of Pedagogical Dialogue Acts
by: Lee, Jinsook, et al.
Published: (2026)

Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents
by: Deng, Yang, et al.
Published: (2023)

Multi-Dimensional Prompt Chaining to Improve Open-Domain Dialogue Generation
by: Teng, Livia Leong Hui
Published: (2026)

Redefining Proactivity for Information Seeking Dialogue
by: Lee, Jing Yang, et al.
Published: (2024)

MoCoRP: Modeling Consistent Relations between Persona and Response for Persona-based Dialogue
by: Lee, Kyungro, et al.
Published: (2025)

Hello Again! LLM-powered Personalized Agent for Long-term Dialogue
by: Li, Hao, et al.
Published: (2024)

Prompt-Based One-Shot Exact Length-Controlled Generation with LLMs
by: Xie, Juncheng, et al.
Published: (2025)

Benchmarking Cognitive Domains for LLMs: Insights from Taiwanese Hakka Culture
by: Chang, Chen-Chi, et al.
Published: (2024)

PlatoLM: Teaching LLMs in Multi-Round Dialogue via a User Simulator
by: Kong, Chuyi, et al.
Published: (2023)

Exploiting the Potential of Seq2Seq Models as Robust Few-Shot Learners
by: Lee, Jihyeon, et al.
Published: (2023)

All-in-One Tuning and Structural Pruning for Domain-Specific LLMs
by: Lu, Lei, et al.
Published: (2024)

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

Denoising Table-Text Retrieval for Open-Domain Question Answering
by: Kang, Deokhyung, et al.
Published: (2024)

ODKE+: Ontology-Guided Open-Domain Knowledge Extraction with LLMs
by: Khorshidi, Samira, et al.
Published: (2025)

RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation
by: Kim, Kiseung, et al.
Published: (2024)

From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models
by: Pozzobon, Luiza, et al.
Published: (2024)

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe
by: Pipatanakul, Kunat, et al.
Published: (2025)

QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs
by: Kim, Minsang, et al.
Published: (2024)

DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party Dialogues
by: Jang, Kyochul, et al.
Published: (2025)

Unsupervised Extractive Dialogue Summarization in Hyperdimensional Space
by: Park, Seongmin, et al.
Published: (2024)

Empathy by Design: Aligning Large Language Models for Healthcare Dialogue
by: Umucu, Emre, et al.
Published: (2025)

Reasoning or Not? A Comprehensive Evaluation of Reasoning LLMs for Dialogue Summarization
by: Jin, Keyan, et al.
Published: (2025)

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

One Model, Many Morals: Uncovering Cross-Linguistic Misalignments in Computational Moral Reasoning
by: Farid, Sualeha, et al.
Published: (2025)

DSG-KD: Knowledge Distillation from Domain-Specific to General Language Models
by: Cho, Sangyeon, et al.
Published: (2024)

Evaluating Legal Reasoning Traces with Legal Issue Tree Rubrics
by: Lee, Jinu, et al.
Published: (2025)

Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues
by: Kwon, Deuksin, et al.
Published: (2024)

Interpretable Difficulty-Aware Knowledge Tracing in Tutor-Student Dialogues
by: Huang, Shuyan, et al.
Published: (2026)

How Well Do Large Language Models Truly Ground?
by: Lee, Hyunji, et al.
Published: (2023)

Many LLMs Are More Utilitarian Than One
by: Keshmirian, Anita, et al.
Published: (2025)

Many Hands Make Light Work: Task-Oriented Dialogue System with Module-Based Mixture-of-Experts
by: Su, Ruolin, et al.
Published: (2024)

A Two-Stage Proactive Dialogue Generator for Efficient Clinical Information Collection Using Large Language Model
by: Li, Xueshen, et al.
Published: (2024)

One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs
by: Li, Yinghui, et al.
Published: (2025)

Where Should Diffusion Enter a Language Model? Geometry-Guided Hidden-State Replacement
by: Kong, Injin, et al.
Published: (2026)

Open Ko-LLM Leaderboard2: Bridging Foundational and Practical Evaluation for Korean LLMs
by: Kim, Hyeonwoo, et al.
Published: (2024)

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

TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
by: Tang, Liyan, et al.
Published: (2024)

One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations
by: Lee, Yoonjoo, et al.
Published: (2024)

A Zero-Shot Open-Vocabulary Pipeline for Dialogue Understanding
by: Safa, Abdulfattah, et al.
Published: (2024)