Intent Recognition
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Benchmarks
BIG-bench
Most implemented
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Training Compute-Optimal Large Language Models
Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU Models
Understanding and Enhancing the Transferability of Jailbreaking Attacks
Large Language Models for Power Scheduling: A User-Centric Approach
Papers
Agent-Based ML-LLM Fusion with Self-Optimizing Prompts for Plateau Weather Alerts
To address insufficient contextualization, weak generalization, and poor scenario adaptation in tourism meteorological services, we propose SmartWeatherAgent--a unified three-stage architecture integrating intent recogni…
Intent RecognitionAslema at NADI 2026: Augmentation through Fewshot for SLU
We present Aslema, our system for NADI 2026 Shared Task 5, which consists of two subtasks: intent recognition and slot filling. We evaluate four omni LLMs in a zero-shot setting and compare them with fine-tuned models. O…
Intent RecognitionData AugmentationSlot FillingTemporal Posed and Spontaneous Gesture Recognition from Electromyography in the Rock-Paper-Scissors Game
The importance of gesture recognition has been acknowledged in many domains requiring real-time recognition systems. Two requirements for these are fast recognition in multiuser contexts. Therefore, we explored the tempo…
Gesture RecognitionIntent RecognitionEnd-to-End Voice Intent Recognition for Spontaneous Human-Drone Interaction with Naive Users
Voice control offers an intuitive alternative to manual drone piloting, yet most existing systems rely on rigid command vocabularies that fail to handle the spontaneous, disfluent speech of naive users. This paper addres…
Spoken Language UnderstandingSelf-Supervised LearningKnowledge DistillationIntent RecognitionHypoAgent: An Agentic Framework for Interactive Abductive Hypothesis Generation over Knowledge Graphs
Abductive reasoning over knowledge graphs aims to generate logical hypotheses that explain observed entities or facts. Existing controllable hypothesis generation methods allow users to guide this process with explicit c…
Semantic SimilarityIntent RecognitionKnowledge GraphsTeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications?
While Large Language Models have achieved remarkable integration in various vertical scenarios, their deployment in the telecommunications domain remains exploratory due to the lack of a standardized evaluation framework…
Intent Recognition