natural language understanding
Natural language understanding (NLU) is the capability of an AI system to comprehend and derive meaning from human language. NLU is essential for applications such as chatbots, text analysis, and translation, requiring deep models that can grasp context and semantics.
- AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning
- Causality Meets the Table: Debiasing LLMs for Faithful TableQA via Front-Door Intervention
- Memory-Efficient Training with In-Place FFT Implementation
- Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs
- RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
- Text-to-Code Generation for Modular Building Layouts in Building Information Modeling