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...
Researchers have developed a new method for improving the robustness of natural language understanding models. Their approach, called failure-mode con...
Researchers have developed a new benchmark called AtmosCoder-Bench to evaluate the performance of large language models in environmental science. Unli...
Researchers have developed a new method for training deterministic register automata (DRAs) on data from infinite alphabets. This approach involves us...
Researchers have proposed a defense mechanism called Gradient Mirage to protect large language models from gradient matching attacks. These attacks re...
Researchers have found that large language models (LLMs) can be faithful and useful in simulating survey respondents, but only if they use a specific ...
Researchers have created a new dataset called TextQ-German to evaluate the quality of text generated by natural language processing systems. The datas...
Researchers have developed a system to extract high-quality data from historical newspaper scans. The Institutional Newspapers Pipeline uses a multi-s...
Researchers have investigated whether internal representation statistics can provide useful difficulty signals for adaptive inference in multilingual ...