Microsoft launches three in-house AI models for transcription, voice, and image generation, challenging OpenAI and Google ...

Repilot synthesizes a candidate patch through the interaction between an LLM and a completion engine, which prunes away ...

Abstract: Reconstructing prompts in text generation systems is a significant challenge in natural language processing (NLP). This study presents a novel Siamese encoder-decoder framework augmented ...

Abstract: Improving anomaly detection accuracy in time series data is essential for the operation of communication networks. Encoder-decoder models, which learn the correlations within the data, have ...

Please add official support for google/t5gemma-s-s-prefixlm in tensorrt-llm. T5Gemma (aka encoder-decoder Gemma) was proposed in a research paper by Google. It is a family of encoder-decoder large ...

So, you’ve probably heard a lot about LLMs, right? Think of them as super-smart computer programs that are really, really good with human language. They’ve been trained on a massive amount of text – ...

I want to evaluate models like ModernBERT, Llama and many others on SuperGLUE and my own benchmark. In my setting, every model has to be fine-tuned for the specific task, even decoder models. Is this ...

In 2024, a study by J.P. Morgan AI Research and Queen’s University found that leading proprietary artificial intelligence models could pass the CFA Level I and II mock exams, but they struggled with ...

Why was a new multilingual encoder needed? XLM-RoBERTa (XLM-R) has dominated multilingual NLP for more than 5 years, an unusually long reign in AI research. While encoder-only models like BERT and ...