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Dialogue Generation

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보존된 평가 기록: 20

Dialogue generation is the task of "understanding" natural language inputs - within natural language processing in order to produce output. The systems are usually intended for conversing with humans, for instance back and forth dialogue with a conversation agent like a chatbot. Some example benchmarks for this task (see others such as Natural Language Understanding) include FusedChat and Ubuntu DIalogue Corpus (UDC). Models can be evaluated via metrics such as BLEU, ROUGE, and METEOR albeit with challenges in terms of weak correlation with human judgement, that may be addressed by new ones like UnSupervised and Reference-free (USR) and Metric for automatic Unreferenced dialog evaluation (MaUde).

논문

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Dialogue Generation

논문

Emotional Support with LLM-based Empathetic Dialogue Generation

ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching

SDialog: A Python Toolkit for Synthetic Dialogue Generation and Analysis

Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment

Proactive Assistant Dialogue Generation from Streaming Egocentric Videos

ConsistentChat: Building Skeleton-Guided Consistent Dialogues for Large Language Models from Scratch

CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching

Adaptive-VP: A Framework for LLM-Based Virtual Patients that Adapts to Trainees' Dialogue to Facilitate Nurse Communication Training

When Harry Meets Superman: The Role of The Interlocutor in Persona-Based Dialogue Generation

Action2Dialogue: Generating Character-Centric Narratives from Scene-Level Prompts

Benchmarking Expressive Japanese Character Text-to-Speech with VITS and Style-BERT-VITS2

Aligning Dialogue Agents with Global Feedback via Large Language Model Reward Decomposition

Streamlining Biomedical Research with Specialized LLMs

Efficient Tuning of Large Language Models for Knowledge-Grounded Dialogue Generation

A Unified Virtual Mixture-of-Experts Framework:Enhanced Inference and Hallucination Mitigation in Single-Model System

Enhancing Persona Consistency for LLMs' Role-Playing using Persona-Aware Contrastive Learning

Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information

VisTai: Benchmarking Vision-Language Models for Traditional Chinese in Taiwan

Contrastive Speaker-Aware Learning for Multi-party Dialogue Generation with LLMs

SAGE: Steering and Refining Dialog Generation with State-Action Augmentation

ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models

Single- vs. Dual-Prompt Dialogue Generation with LLMs for Job Interviews in Human Resources

Fine-Tuning Qwen 2.5 3B for Realistic Movie Dialogue Generation

Can LLMs Simulate L2-English Dialogue? An Information-Theoretic Analysis of L1-Dependent Biases

Exploring Persona Sentiment Sensitivity in Personalized Dialogue Generation

SafeDialBench: A Fine-Grained Safety Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks

PsyPlay: Personality-Infused Role-Playing Conversational Agents

Conversation AI Dialog for Medicare powered by Finetuning and Retrieval Augmented Generation

TV-Dialogue: Crafting Theme-Aware Video Dialogues with Immersive Interaction

Advancing Multi-Party Dialogue Framework with Speaker-ware Contrastive Learning

Leveraging Chain of Thought towards Empathetic Spoken Dialogue without Corresponding Question-Answering Data

Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMs

BoK: Introducing Bag-of-Keywords Loss for Interpretable Dialogue Response Generation

Real-Time Textless Dialogue Generation

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation

STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling