Researchers have developed a method for efficiently running small natural language processing (NLP) models on server CPUs using the PyTorch framework....
A new approach for observing and auditing autonomous scientific agents has been proposed by researchers. These systems propose ideas, write code, run ...
Researchers investigated whether large language models (LLMs) can learn to understand figurative language by fine-tuning them on cultural data. They t...
Researchers have developed a method for segmenting words in the Tangut language, which is an extinct script that doesn't explicitly mark word boundari...
Researchers have developed OmniAlign, a single model that can align words and sentences across languages. Unlike existing tools, which typically focus...
Researchers have proposed a new neural network architecture called WhiteMatter that allows for all-to-all cross-layer connections. This is in contrast...
Researchers have proposed a new framework called MissDiag to evaluate the robustness of AI systems that answer questions based on incomplete or missin...
Researchers have found that multilingual large language models (LLMs) share similar internal mechanisms for handling subject-verb agreement across lan...
Researchers have proposed a new method for identifying the causes of failures in multi-agent systems. The existing approaches rely on large language m...
Researchers have found that using a specific type of quantization called bitsandbytes can amplify proactive interference in large language models. Pro...
Researchers have created a collection of open-source machine translation resources for 19 Sub-Saharan African languages. The TranslatePsy-AfriSLM data...
Researchers have developed a new text-to-speech system called X2Streaming-TTS that can generate speech from uncertain prefixes and maintain perceptual...