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Found 5 papers, 2 papers with code
Zero-Indexing Internet Search Augmented Generation for Large Language Models
We conduct extensive empirical studies to evaluate the performance of this Internet search augmented generation paradigm.
Adaptive High-Frequency Transformer for Diverse Wildlife Re-Identification
Wildlife ReID involves utilizing visual technology to identify specific individuals of wild animals in different scenarios, holding significant importance for wildlife conservation, ecological research, and environmental monitoring.
On the Opportunities of (Re)-Exploring Atmospheric Science by Foundation Models: A Case Study
Most state-of-the-art AI applications in atmospheric science are based on classic deep learning approaches.
ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models
Performance prediction is a method to estimate the performance of Language Models (LMs) on various Natural Language Processing (NLP) tasks, mitigating computational costs associated with model capacity and data for fine-tuning.
Transformer for Object Re-Identification: A Survey
Object Re-identification (Re-ID) aims to identify specific objects across different times and scenes, which is a widely researched task in computer vision.
