SOTAVerified

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

Showing 110 of 330 papers

TitleStatusHype
Flippi: End To End GenAI Assistant for E-Commerce0
An Interdisciplinary Review of Commonsense Reasoning and Intent Detection0
Invocable APIs derived from NL2SQL datasets for LLM Tool-Calling Evaluation0
Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting FrameworkCode0
Building a Few-Shot Cross-Domain Multilingual NLU Model for Customer Care0
Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation0
Seeing Through Deception: Uncovering Misleading Creator Intent in Multimodal News with Vision-Language Models0
Learning Multimodal AI Algorithms for Amplifying Limited User Input into High-dimensional Control SpaceCode0
Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines0
Improving Generalization in Intent Detection: GRPO with Reward-Based Curriculum Sampling0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DGIFAccuracy83.3Unverified
2UGENAccuracy83Unverified
3TFMN (PACL)Accuracy82.9Unverified
4SLIM (PACL)Accuracy81.9Unverified
5BiSLUAccuracy81.5Unverified
6TFMNAccuracy79.8Unverified
7RoBERTa (PACL)Accuracy79.1Unverified
8Co-guiding NetAccuracy79.1Unverified
9Uni-MISAccuracy78.5Unverified
10SLIMAccuracy78.3Unverified