Intent Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

19 leaderboard tables shown for this task, 19 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. 10 shown of 19 until expanded.

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

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

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 121 papers with code (330 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.

• BERT for Joint Intent Classification and Slot Filling
  28 Feb 2019 16 repositories listed Syntology ran 9 of 32 samples · 23 unverified · 3 pointer-only (licence)
  Intent classification and slot filling are two essential tasks for natural language understanding.
• Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling
  6 Sep 2016 6 repositories listed Syntology ran 2 of 5 samples · 3 unverified · 2 pointer-only (licence)
  Attention-based encoder-decoder neural network models have recently shown promising results in machine translation and speech recognition.
• Efficient Intent Detection with Dual Sentence Encoders
  10 Mar 2020 5 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Building conversational systems in new domains and with added functionality requires resource-efficient models that work under low-data regimes (i.
• A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection
  16 Jun 2021 4 repositories listed
  Mahalanobis distance (MD) is a simple and popular post-processing method for detecting out-of-distribution (OOD) inputs in neural networks.
• Zero-shot User Intent Detection via Capsule Neural Networks
  2 Sep 2018 4 repositories listed
  User intent detection plays a critical role in question-answering and dialog systems.
• Joint Slot Filling and Intent Detection via Capsule Neural Networks
  22 Dec 2018 3 repositories listed
  Being able to recognize words as slots and detect the intent of an utterance has been a keen issue in natural language understanding.
• A Persian Benchmark for Joint Intent Detection and Slot Filling
  1 Mar 2023 2 repositories listed
  To evaluate the effectiveness of our benchmark, we employ state-of-the-art methods for intent detection and slot filling.
• Deep Smart Contract Intent Detection
  19 Nov 2022 2 repositories listed
  In recent years, research in software security has concentrated on identifying vulnerabilities in smart contracts to prevent significant losses of crypto assets on blockchains.
• 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.
• Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
  13 Sep 2021 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  In this work, we focus on a more challenging few-shot intent detection scenario where many intents are fine-grained and semantically similar.
• 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.
• Energy-based Unknown Intent Detection with Data Manipulation
  27 Jul 2021 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Unknown intent detection aims to identify the out-of-distribution (OOD) utterance whose intent has never appeared in the training set.
• From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding
  15 May 2021 2 repositories listed
  To tackle the challenge, we propose a joint learning approach, with English SLU training data and non-English auxiliary tasks from raw text, syntax and translation for transfer.
• Learning Spoken Language Representations with Neural Lattice Language Modeling
  6 Jul 2020 2 repositories listed
  Pre-trained language models have achieved huge improvement on many NLP tasks.
• CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding
  16 Sep 2019 2 repositories listed
  Spoken Language Understanding (SLU) mainly involves two tasks, intent detection and slot filling, which are generally modeled jointly in existing works.
• A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding
  5 Sep 2019 2 repositories listed
  In our framework, we adopt a joint model with Stack-Propagation which can directly use the intent information as input for slot filling, thus to capture the intent semantic knowledge.
• DELTA: A DEep learning based Language Technology plAtform
  2 Aug 2019 2 repositories listed
  In this paper we present DELTA, a deep learning based language technology platform.
• A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling
  30 Jun 2019 2 repositories listed
  The joint model for the two tasks is becoming a tendency in SLU.
• Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
  1 Jun 2018 2 repositories listed
  Attention-based recurrent neural network models for joint intent detection and slot filling have achieved the state-of-the-art performance, while they have independent attention weights.
• 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…
• Learning Multimodal AI Algorithms for Amplifying Limited User Input into High-dimensional Control Space
  16 May 2025 1 repository listed
  In contrast to the current state-of-the-art (SoTA) noninvasive approaches, our context-aware, multimodal shared-autonomy framework integrates deep reinforcement learning algorithms to blend limited low-dimensional user…
• Intention Recognition in Real-Time Interactive Navigation Maps
  24 Feb 2025 1 repository listed
  In this demonstration, we develop IntentRec4Maps, a system to recognise users' intentions in interactive maps for real-world navigation.
• PSCon: Product Search Through Conversations
  19 Feb 2025 1 repository listed
  In this paper, we propose a CPS data collection protocol and create a new CPS dataset, called PSCon, which assists product search through conversations with human-like language.
• Add Noise, Tasks, or Layers? MaiNLP at the VarDial 2025 Shared Task on Norwegian Dialectal Slot and Intent Detection
  7 Jan 2025 1 repository listed
  We participate in the VarDial 2025 shared task on slot and intent detection in Norwegian varieties, and compare multiple set-ups: varying the training data (English, Norwegian, or dialectal Norwegian), injecting…
• Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Study
  7 Jan 2025 1 repository listed
  Reliable slot and intent detection (SID) is crucial in natural language understanding for applications like digital assistants.
• Generate then Refine: Data Augmentation for Zero-shot Intent Detection
  2 Oct 2024 1 repository listed
  Our results indicate that a two-step approach of a generative LLM in zero-shot setting and a smaller sequence-to-sequence model can provide high-quality data for intent detection.
• MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLU
  15 Aug 2024 1 repository listed
  This paper introduces a novel approach, MIDAS, leveraging a multi-level intent, domain, and slot knowledge distillation for multi-turn NLU.
• 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).
• DarijaBanking: A New Resource for Overcoming Language Barriers in Banking Intent Detection for Moroccan Arabic Speakers
  26 May 2024 1 repository listed
  Navigating the complexities of language diversity is a central challenge in developing robust natural language processing systems, especially in specialized domains like banking.
• A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention Recognition
  19 Apr 2024 1 repository listed
  The developed multi-source UDA theory is theoretical and the generalization error on target subject is guaranteed.

Syntology lines on 5 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.