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Dialogue Systems

942 directly classified papers

Papers per year

Papers

Winnie: Task-Oriented Dialog System with Structure-Aware Contrastive Learning and Enhanced Policy Planning AAAI 2024

Communicating with Speakers and Listeners of Different Pragmatic Levels EMNLP 2024

CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments AAAI 2024

OpenOmni: A Collaborative Open Source Tool for Building Future-Ready Multimodal Conversational Agents EMNLP 2024

MILD Bot: Multidisciplinary Childhood Cancer Survivor Question-Answering Bot EMNLP 2024

“Any Other Thoughts, Hedgehog?” Linking Deliberation Chains in Collaborative Dialogues EMNLP 2024

Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents EMNLP 2024

LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History EMNLP 2024

ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models EMNLP 2024

ACE: A LLM-based Negotiation Coaching System EMNLP 2024

TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities EMNLP 2024

Dual-oriented Disentangled Network with Counterfactual Intervention for Multimodal Intent Detection EMNLP 2024

PANDA: Persona Attributes Navigation for Detecting and Alleviating Overuse Problem in Large Language Models EMNLP 2024

Red Teaming Language Models for Processing Contradictory Dialogues EMNLP 2024

Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent EMNLP 2024

Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models EMNLP 2024

Enhancing AI Assisted Writing with One-Shot Implicit Negative Feedback EMNLP 2024

Unsupervised Extraction of Dialogue Policies from Conversations EMNLP 2024

Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations EMNLP 2024

Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles EMNLP 2024

Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel EMNLP 2024

Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding EMNLP 2024

Integrating Argumentation and Hate-Speech-based Techniques for Countering Misinformation EMNLP 2024

Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction EMNLP 2024

Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System EMNLP 2024