RoNID: new intent discovery with generated-reliable labels and cluster-friendly representations
Abstract New Intent Discovery (NID) strives to identify known and reasonably deduce novel
intent groups in the open-world scenario. But current methods face issues with inaccurate …
intent groups in the open-world scenario. But current methods face issues with inaccurate …
Enhancing few-shot out-of-distribution intent detection by reducing attention misallocation
Few-shot out-of-distribution (OOD) intent detection aims to detect in-distribution (ID) intents
and reject OOD intents with few ID training data. This data scarcity often causes traditional …
and reject OOD intents with few ID training data. This data scarcity often causes traditional …
TiNID: A Transfer and Interpretable LLM-Enhanced Framework for New Intent Discovery
Abstract New Intent Discovery (NID) is an essential task in open-world learning, tasked with
the identification and classification of both known and novel intents using a combination of …
the identification and classification of both known and novel intents using a combination of …