out-of-scope detection

AutoIntent: AutoML for Text Classification EMNLP 2025 Efficient Out-of-Scope Detection in Dialogue Systems via Uncertainty-Driven LLM Routing ACL 2025 On Collaborating Small and Large Models For Few-shot Intent Detection EMNLP 2025 A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks EMNLP 2024 Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition NAACL 2024 Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification COLING 2024 Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classification COLING 2024 Intent Detection in the Age of LLMs EMNLP 2024 MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations ICLR 2024 Theoretical and Empirical Advantages of Dense-Vector to One-Hot Encoding of Intent Classes in Open-World Scenarios COLING 2024 Novel Relation Detection: Discovering Unknown Relation Types via Multi-Strategy Self-Supervised Learning EMNLP 2023 Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection ACL 2022 D2U: Distance-to-Uniform Learning for Out-of-Scope Detection NAACL 2022 Distinguish Sense from Nonsense: Out-of-Scope Detection for Virtual Assistants EMNLP 2022 GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation EMNLP 2021 Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems ACL 2021 Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference EMNLP 2020 Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes EMNLP 2020