Cover Image

Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Castillo-López, Galo, de Chalendar, Gaël, Semmar, Nasredine
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How DDAIR you? Disambiguated Data Augmentation for Intent Recognition
by: Castillo-López, Galo, et al.
Published: (2026)

From LIMA to DeepLIMA: following a new path of interoperability
by: Bocharov, Victor, et al.
Published: (2024)

Injecting Structured Biomedical Knowledge into Language Models: Continual Pretraining vs. GraphRAG
by: Klila, Jaafer, et al.
Published: (2026)

The Structure-Content Trade-off in Knowledge Graph Retrieval
by: Six, Valentin, et al.
Published: (2025)

MMSE-Calibrated Few-Shot Prompting for Alzheimer's Detection
by: Sweidan, Jana, et al.
Published: (2025)

Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
by: Lang, Hao, et al.
Published: (2023)

Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classification
by: Zawbaa, Hossam M., et al.
Published: (2024)

Benchmarks Underestimate the Readiness of Multi-lingual Dialogue Agents
by: Lee, Andrew H., et al.
Published: (2024)

Few-Shot Graph Out-of-Distribution Detection with LLMs
by: Xu, Haoyan, et al.
Published: (2025)

Multi-modal Anchor Gated Transformer with Knowledge Distillation for Emotion Recognition in Conversation
by: Li, Jie, et al.
Published: (2025)

Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection
by: Zhao, Shiman, et al.
Published: (2025)

Towards Ontology-Based Descriptions of Conversations with Qualitatively-Defined Concepts
by: Gendron, Barbara, et al.
Published: (2025)

Temporal Graph Network: Hallucination Detection in Multi-Turn Conversation
by: Rathore, Vidhi, et al.
Published: (2026)

Large Language Model Data Generation for Enhanced Intent Recognition in German Speech
by: Rosin, Theresa Pekarek, et al.
Published: (2025)

Interpretation of the Intent Detection Problem as Dynamics in a Low-dimensional Space
by: Sanchez-Karhunen, Eduardo, et al.
Published: (2024)

Effective Context Modeling Framework for Emotion Recognition in Conversations
by: Van, Cuong Tran, et al.
Published: (2024)

Out-of-Distribution Detection using Synthetic Data Generation
by: Abbas, Momin, et al.
Published: (2025)

Exploring Robustness in Doctor-Patient Conversation Summarization: An Analysis of Out-of-Domain SOAP Notes
by: Chen, Yu-Wen, et al.
Published: (2024)

Reading with Intent -- Neutralizing Intent
by: Reichman, Benjamin, et al.
Published: (2025)

Towards Data-efficient Customer Intent Recognition with Prompt-based Learning Paradigm
by: Luo, Hengyu, et al.
Published: (2023)

Can Performant LLMs Be Ethical? Quantifying the Impact of Web Crawling Opt-Outs
by: Fan, Dongyang, et al.
Published: (2025)

HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection
by: Du, Xuefeng, et al.
Published: (2024)

Interpretability of the Intent Detection Problem: A New Approach
by: Sanchez-Karhunen, Eduardo, et al.
Published: (2026)

Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness
by: Jelenić, Fran, et al.
Published: (2023)

Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
by: Zeng, Cong, et al.
Published: (2025)

Eliciting Behaviors in Multi-Turn Conversations
by: Huang, Jing, et al.
Published: (2025)

Predicting User Intents and Musical Attributes from Music Discovery Conversations
by: Kwon, Daeyong, et al.
Published: (2024)

IntentCoding: Amplifying User Intent in Code Generation
by: Fang, Zheng, et al.
Published: (2026)

GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents
by: Wu, Zheng, et al.
Published: (2025)

Generative Technology for Human Emotion Recognition: A Scope Review
by: Ma, Fei, et al.
Published: (2024)

Detecting Conceptual Abstraction in LLMs
by: Regneri, Michaela, et al.
Published: (2024)

Zero-Shot Conversational Stance Detection: Dataset and Approaches
by: Ding, Yuzhe, et al.
Published: (2025)

Text Meets Topology: Rethinking Out-of-distribution Detection in Text-Rich Networks
by: Wang, Danny, et al.
Published: (2025)

Large Language Models for Intent-Driven Session Recommendations
by: Sun, Zhu, et al.
Published: (2023)

NeuronScope: A Multi-Agent Framework for Explaining Polysemantic Neurons in Language Models
by: Liu, Weiqi, et al.
Published: (2026)

Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons
by: Leng, Yongqi, et al.
Published: (2024)

DROID: Dual Representation for Out-of-Scope Intent Detection
by: Rashwan, Wael, et al.
Published: (2025)

Selective Prompting Tuning for Personalized Conversations with LLMs
by: Huang, Qiushi, et al.
Published: (2024)

Interpretable Detection of Out-of-Context Misinformation with Neural-Symbolic-Enhanced Large Multimodal Model
by: Zhang, Yizhou, et al.
Published: (2023)

Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations
by: Shou, Yuntao, et al.
Published: (2024)