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Natural Language Processing
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Dialogue Systems
2271 directly classified papers
Papers per year
2000: 1
2007: 1
2016: 28
2017: 43
2018: 75
2019: 166
2020: 213
2021: 276
2022: 309
2023: 322
2024: 377
2025: 381
2026: 79
Papers
Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models
ACL 2024
Chamain: Harmonizing Character Persona Integrity with Domain-Adaptive Knowledge in Dialogue Generation
ACL 2024
Reranking Overgenerated Responses for End-to-End Task-Oriented Dialogue Systems
COLING 2024
The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth
NAACL 2024
Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems
NAACL 2024
Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue
IJCAI 2024
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations
NAACL 2024
LEEETs-Dial: Linguistic Entrainment in End-to-End Task-oriented Dialogue systems
NAACL 2024
Towards Optimizing and Evaluating a Retrieval Augmented QA Chatbot using LLMs with Human-in-the-Loop
NAACL 2024
Impact of Decoding Methods on Human Alignment of Conversational LLMs
ACL 2024
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems
NAACL 2024
Leveraging LLMs for Dialogue Quality Measurement
NAACL 2024
LLMs of Catan: Exploring Pragmatic Capabilities of Generative Chatbots Through Prediction and Classification of Dialogue Acts in Boardgames’ Multi-party Dialogues
COLING 2024
Graph Integrated Language Transformers for Next Action Prediction in Complex Phone Calls
NAACL 2024
Multimodal Contextual Dialogue Breakdown Detection for Conversational AI Models
NAACL 2024
Decoding the Metrics Maze: Navigating the Landscape of Conversational Question Answering System Evaluation in Procedural Tasks
COLING 2024
Generating Signed Language Instructions in Large-Scale Dialogue Systems
NAACL 2024
Facilitating Opinion Diversity through Hybrid NLP Approaches
NAACL 2024
Self-Improving Customer Review Response Generation Based on LLMs
COLING 2024
Detecting Response Generation Not Requiring Factual Judgment
NAACL 2024
To Clarify or not to Clarify: A Comparative Analysis of Clarification Classification with Fine-Tuning, Prompt Tuning, and Prompt Engineering
NAACL 2024
The Need for Grounding in LLM-based Dialogue Systems
COLING 2024
KnowComp at DialAM-2024: Fine-tuning Pre-trained Language Models for Dialogical Argument Mining with Inference Anchoring Theory
ACL 2024
Knowledge-centered conversational agents with a drive to learn
NAACL 2024
LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues
NAACL 2024
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