Researchers have found that large language models can be unstable and sensitive to subtle changes in prompts. They introduced a new tool called 'inter...
Researchers have developed a new benchmarking framework called CentaurBench to evaluate the capabilities of large language models (LLMs) in augmenting...
Researchers have proposed a framework for detecting performance drift in Machine Learning as a Service (MLaaS) systems used in IoT environments. The f...
Researchers have developed a new framework called MorphoGP to predict equilibrium beach profiles under tidal influence. This is important for sustaina...
Researchers have found a way to reduce spatial aliasing in hippocampal place representations by incorporating grid cell signals. Spatial aliasing occu...
Researchers have proposed a new framework called MR-IQA-2 for image quality assessment. The system consists of three components: an actor that generat...
Researchers have developed a new method called VAKE to help Large Language Models (LLMs) recall and verify factual knowledge. Existing methods often m...
Researchers have introduced OmniHandwritingOCR, a benchmark for evaluating the ability of large language models to recognize handwritten text. The ben...
Researchers have developed a method to expose private information in text embeddings that have been protected with noise. The method, called denoising...
Researchers propose a new framework to evaluate and improve blood pressure estimation using photoplethysmography (PPG). They argue that current method...
Researchers have proposed a new variant of the orienteering problem (OP) called OP-UTVR. This problem involves uncertain and time-varying rewards in r...
Researchers have developed a system called Aslema for a shared task at the NADI 2026 conference. The system consists of two subtasks: intent recogniti...