Intent Detection

Intent Detection is a task of determining the underlying purpose or goal behind a user's search query given a context. The task plays a significant role in search and recommendations. A traditional approach for intent detection implies using an intent detector model to classify user search query into predefined intent categories, given a context. One of the key challenges of the task implies identifying user intents for cold-start sessions, i.e., search sessions initiated by a non-logged-in or unrecognized user.

Source: Analyzing and Predicting Purchase Intent in E-commerce: Anonymous vs. Identified Customers

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 301–325 of 330 papers

Title	Date	Tasks	Status
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction using Diffusion Graph Convolutional Networks	Sep 5, 2023	Graph EmbeddingIntent Detection	—Unverified
Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Filling	Oct 19, 2022	Intent Detectionslot-filling	—Unverified
HAN: Higher-order Attention Network for Spoken Language Understanding	Aug 26, 2021	Intent Detectionslot-filling	—Unverified
HCLD: A Hierarchical Framework for Zero-shot Cross-lingual Dialogue System	Oct 1, 2022	Intent DetectionSentence	—Unverified
HiTZ at VarDial 2025 NorSID: Overcoming Data Scarcity with Language Transfer and Automatic Data Annotation	Dec 13, 2024	Dialect IdentificationIntent Detection	—Unverified
I^2KD-SLU: An Intra-Inter Knowledge Distillation Framework for Zero-Shot Cross-Lingual Spoken Language Understanding	Oct 4, 2023	Intent DetectionKnowledge Distillation	—Unverified
ICL Markup: Structuring In-Context Learning using Soft-Token Tags	Dec 12, 2023	In-Context LearningIntent Detection	—Unverified
Improving Robustness of Task Oriented Dialog Systems	Nov 12, 2019	Adversarial AttackData Augmentation	—Unverified
Improving Slot Filling by Utilizing Contextual Information	Nov 5, 2019	Intent Detectionslot-filling	—Unverified
Incremental Intent Detection for Medical Domain with Contrast Replay Networks	May 1, 2022	Incremental LearningIntent Detection	—Unverified
RNN based Incremental Online Spoken Language Understanding	Oct 23, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Insurance Question Answering via Single-turn Dialogue Modeling	Oct 1, 2022	Intent DetectionQuestion Answering	—Unverified
Intelligent Framework for Human-Robot Collaboration: Dynamic Ergonomics and Adaptive Decision-Making	Mar 10, 2025	Decision MakingIntent Detection	—Unverified
Intelligent Mode-switching Framework for Teleoperation	Feb 8, 2024	Decision MakingDeep Reinforcement Learning	—Unverified
IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery	Oct 25, 2023	Contrastive Learningintent-classification	—Unverified
Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering	Jul 1, 2022	ClusteringIntent Detection	—Unverified
Intent Detection and Slots Prompt in a Closed-Domain Chatbot	Dec 27, 2018	ChatbotClassification	—Unverified
Intent Detection at Scale: Tuning a Generic Model using Relevant Intents	Sep 15, 2023	Intent Detection	—Unverified
Intent Detection for code-mix utterances in task oriented dialogue systems	Dec 7, 2018	Intent DetectionTask-Oriented Dialogue Systems	—Unverified
Intent Detection in the Age of LLMs	Oct 2, 2024	Data AugmentationIn-Context Learning	—Unverified
IntentDial: An Intent Graph based Multi-Turn Dialogue System with Reasoning Path Visualization	Oct 18, 2023	Intent Detection	—Unverified
IntentGPT: Few-shot Intent Discovery with Large Language Models	Nov 16, 2024	In-Context LearningIntent Detection	—Unverified
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks	Jun 6, 2019	Autonomous Vehiclesfeature selection	—Unverified
Intention Recognition for Multiple Agents	Dec 5, 2021	ClusteringDescriptive	—Unverified
Invocable APIs derived from NL2SQL datasets for LLM Tool-Calling Evaluation	Jun 12, 2025	Intent DetectionNatural Language Queries	—Unverified

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All datasets ATIS MixSNIPS MixATIS SNIPS ASOS.com user intent BANKING77 ATIS (vi)BANKING77 10-shot BANKING77 5-shot CAIS CLINC150 CLINC150 10-shot

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Bi-model with decoder	Accuracy	98.99	—	Unverified
2	Transformer-Capsule	Accuracy	98.89	—	Unverified
3	Attention Encoder-Decoder NN	Accuracy	98.43	—	Unverified
4	Joint model with recurrent slot label context	Accuracy	98.4	—	Unverified
5	CTRAN	Accuracy	98.07	—	Unverified
6	Joint BERT + CRF	Accuracy	97.9	—	Unverified
7	SF-ID (BLSTM) network	Accuracy	97.76	—	Unverified
8	SF-ID	Accuracy	97.76	—	Unverified
9	JointBERT-CAE	Accuracy	97.5	—	Unverified
10	Stack-Propagation (+BERT)	Accuracy	97.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SSRAN	Accuracy	98.4	—	Unverified
2	BiSLU	Accuracy	97.8	—	Unverified
3	DGIF	Accuracy	97.8	—	Unverified
4	TFMN	Accuracy	97.7	—	Unverified
5	Co-guiding Net	Accuracy	97.7	—	Unverified
6	TFMN (PACL)	Accuracy	97.4	—	Unverified
7	MISCA	Accuracy	97.3	—	Unverified
8	Uni-MIS	Accuracy	97.2	—	Unverified
9	SLIM	Accuracy	97.2	—	Unverified
10	SLIM (PACL)	Accuracy	96.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DGIF	Accuracy	83.3	—	Unverified
2	UGEN	Accuracy	83	—	Unverified
3	TFMN (PACL)	Accuracy	82.9	—	Unverified
4	SLIM (PACL)	Accuracy	81.9	—	Unverified
5	BiSLU	Accuracy	81.5	—	Unverified
6	TFMN	Accuracy	79.8	—	Unverified
7	Co-guiding Net	Accuracy	79.1	—	Unverified
8	RoBERTa (PACL)	Accuracy	79.1	—	Unverified
9	Uni-MIS	Accuracy	78.5	—	Unverified
10	SLIM	Accuracy	78.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CTRAN	Accuracy	99.42	—	Unverified
2	Stack-Propagation (+BERT)	Accuracy	99	—	Unverified
3	JointBERT-CAE	Accuracy	98.3	—	Unverified
4	AGIF	Accuracy	98.1	—	Unverified
5	LIDSNet	Accuracy	98	—	Unverified
6	Stack-Propagation	Accuracy	98	—	Unverified
7	SF-ID	Accuracy	97.43	—	Unverified
8	SF-ID (BLSTM) network	Accuracy	97.43	—	Unverified
9	Capsule-NLU	Accuracy	97.3	—	Unverified
10	Slot-Gated BLSTM with Attension	Accuracy	97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	plain-LSTM	F1	0.89	—	Unverified
2	linear-Ngrams	F1	0.87	—	Unverified
3	glove-LSTM	F1	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	94.42	—	Unverified
2	OCaTS (kNN-GPT-4)	Accuracy (%)	82.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	JointBERT-CAE	Intent Accuracy	97.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	89.79	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	84.01	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CM-Net	Acc	94.56	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	97.12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	94.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	92.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MIDAS	Accuracy	94.27	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	92.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	87.41	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	82.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MIDAS	Accuarcy	85.02	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	General SLU Model w/ Profile	Accuracy	0.85	—	Unverified