Large language models (LLMs) have shown their potential in many natural language processing (NLP) tasks, like summarization and question answering...
Read moreDeep learning foundation models revolutionize fields like protein structure prediction, drug discovery, computer vision, and natural language processing. They rely...
Read moreMulti-lingual language models (LM), such as mBERT, XLM-R, mT5, mBART, have been remarkably successful in enabling natural language tasks in...
Read moreThe process of human speech production involves coordinated respiratory action to elicit acoustic speech signals. Typically, speech is produced when...
Read moreThis paper was accepted at the Efficient Systems for Foundation Models Workshop at ICML 2024 The inference of transformer-based large...
Read moreWe introduce DataComp for Language Models (DCLM), a testbed for controlled dataset experiments with the goal of improving language models....
Read moreAcoustic signals are crucial for health monitoring, particularly heart sounds which provide essential data like heart rate and detect cardiac...
Read moreThe capacity to quickly store and analyze highly related data has led to graph databases’ meteoric popularity in the past...
Read moreNumerous groundbreaking models—including ChatGPT, Bard, LLaMa, AlphaFold2, and Dall-E 2—have surfaced in different domains since the Transformer’s inception in Natural...
Read moreMathematical reasoning has long been a critical area of research within computer science. With the advancement of large language models...
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