Intent Discovery

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

20 shown of 20 papers with code (42 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Z-BERT-A: a zero-shot Pipeline for Unknown Intent detection
  15 Aug 2022 2 repositories listed
  In our evaluation, we first analyze the quality of the model after adaptive fine-tuning on known classes.
• TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition
  13 Sep 2021 2 repositories listed
  It is composed of two main modules: open intent detection and open intent discovery.
• Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting Framework
  10 Jun 2025 1 repository listed
  Intent detection aims to identify user intents from natural language inputs, where supervised methods rely heavily on labeled in-domain (IND) data and struggle with out-of-domain (OOD) intents, limiting their practical…
• LANID: LLM-assisted New Intent Discovery
  31 Mar 2025 1 repository listed
  New Intent Discovery (NID) is a crucial task that aims to identify these novel intents while maintaining the capability to recognize existing ones.
• Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery
  26 Oct 2024 1 repository listed
  To enable better knowledge transfer, we design a prototype learning method integrating the supervised and pseudo signals from IND and OOD samples.
• One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning
  12 Jul 2024 1 repository listed
  This paper presents a novel and comprehensive solution to enhance both the robustness and efficiency of question answering (QA) systems through supervised contrastive learning (SCL).
• A Diffusion Weighted Graph Framework for New Intent Discovery
  24 Oct 2023 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  New Intent Discovery (NID) aims to recognize both new and known intents from unlabeled data with the aid of limited labeled data containing only known intents.
• Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition
  16 Oct 2023 1 repository listed
  In a practical dialogue system, users may input out-of-domain (OOD) queries.
• Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT
  16 Oct 2023 1 repository listed
  The tasks of out-of-domain (OOD) intent discovery and generalized intent discovery (GID) aim to extend a closed intent classifier to open-world intent sets, which is crucial to task-oriented dialogue (TOD) systems.
• IDAS: Intent Discovery with Abstractive Summarization
  31 May 2023 1 repository listed
  Intent discovery is the task of inferring latent intents from a set of unlabeled utterances, and is a useful step towards the efficient creation of new conversational agents.
• Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery
  28 May 2023 1 repository listed
  Previous methods suffer from a coupling of pseudo label disambiguation and representation learning, that is, the reliability of pseudo labels relies on representation learning, and representation learning is restricted…
• A Clustering Framework for Unsupervised and Semi-supervised New Intent Discovery
  16 Apr 2023 1 repository listed
  New intent discovery is of great value to natural language processing, allowing for a better understanding of user needs and providing friendly services.
• A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery
  7 Mar 2023 1 repository listed
  On the other side, a labeled dataset is needed to train a model for Intent Detection in task-oriented dialogue systems.
• Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery
  17 Oct 2022 1 repository listed
  For OOD clustering stage, we propose a KCC method to form compact clusters by mining true hard negative samples, which bridges the gap between clustering and representation learning.
• Generalized Intent Discovery: Learning from Open World Dialogue System
  13 Sep 2022 1 repository listed
  Traditional intent classification models are based on a pre-defined intent set and only recognize limited in-domain (IND) intent classes.
• New Intent Discovery with Pre-training and Contrastive Learning
  25 May 2022 1 repository listed
  Existing approaches typically rely on a large amount of labeled utterances and employ pseudo-labeling methods for representation learning and clustering, which are label-intensive, inefficient, and inaccurate.
• Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy
  24 May 2022 1 repository listed
  We use this framework to report baseline intent discovery results over VIRADialogs, that highlight the difficulty of this task.
• Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning
  1 May 2022 1 repository listed
  Discovering Out-of-Domain(OOD) intents is essential for developing new skills in a task-oriented dialogue system.
• Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing
  25 Apr 2021 1 repository listed
  This paper presents an unsupervised two-stage approach to discover intents and generate meaningful intent labels automatically from a collection of unlabeled utterances in a domain.
• Intent Mining from past conversations for conversational agent
  22 May 2020 1 repository listed
  In this paper, we present an intent discovery framework that involves 4 primary steps: Extraction of textual utterances from a conversation using a pre-trained domain agnostic Dialog Act Classifier (Data Extraction),…

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.