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Found 4 papers, 1 papers with code
TransportationGames: Benchmarking Transportation Knowledge of (Multimodal) Large Language Models
Large language models (LLMs) and multimodal large language models (MLLMs) have shown excellent general capabilities, even exhibiting adaptability in many professional domains such as law, economics, transportation, and medicine.
Towards Faster k-Nearest-Neighbor Machine Translation
Recent works have proven the effectiveness of k-nearest-neighbor machine translation(a. k. a kNN-MT) approaches to produce remarkable improvement in cross-domain translations.
Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition
Effective object detection in mobile robots is challenged by deployment in diverse and unfamiliar environments.
AutoMC: Automated Model Compression based on Domain Knowledge and Progressive search strategy
Model compression methods can reduce model complexity on the premise of maintaining acceptable performance, and thus promote the application of deep neural networks under resource constrained environments.
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