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Bookmark or Share- LAMM: Language Aware Active Learning for Multilingual ModelsTo fix such issues, we propose Language Aware Active Learning for Multilingual Models (LAMM), an active learning strategy that enables a classifier to learn from a small amount of labeled data in a targeted manner to improve the accuracy of Low-resource languages (LRLs) with limited amounts of data for model training.
- LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset ...Large language models have emerged as a promising approach towards achieving general-purpose AI agents. The thriving open-source LLM community has greatly accelerated the development of agents that support human-machine dialogue interaction through natural language processing.
- OpenGVLab/LAMM - GitHubLAMM (pronounced as /læm/, means cute lamb to show appreciation to LLaMA), is a growing open-source community aimed at helping researchers and developers quickly train and evaluate Multi-modal Large Language Models (MLLM), and further build multi-modal AI agents capable of bridging the gap between ideas and execution, enabling seamless ...
- LAMM: Label Alignment for Multi-Modal Prompt Learning - arXiv.orgTo address this challenge, we introduce an innova-tive label alignment method named LAMM, which can dy-namically adjust the category embeddings of downstream datasets through end-to-end training.
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