GeneGPT: Revolutionizing Genomics Question Answering with Artificial Intelligence
In recent years, large language models (LLMs) have emerged as powerful tools for processing and interpreting vast amounts of data.
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LLMs
Researchers at Cornell University Introduced HiQA: An Advanced Artificial Intelligence Framework for Multi-Document Question-Answering (MDQA)
Artificial Intelligence (AI) has revolutionized the way we interact with computers and process information. It has enabled machines to understand
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Decoding AI Cognition: Unveiling the Color Perception of Large Language Models through Cognitive Psychology Methods
Artificial intelligence (AI) has made significant strides in recent years, but the inner workings of these complex systems remain a
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Extensible Tokenization: Revolutionizing Context Understanding in Large Language Models
In the realm of natural language processing (NLP) and artificial intelligence (AI), large language models (LLMs) have become an invaluable
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Outsmarting Uncertainty: How ‘K-Level Reasoning’ from Microsoft Research is Setting New Standards for LLMs
Delving into the intricacies of artificial intelligence, particularly within the dynamic reasoning domain, uncovers the pivotal role of Large Language
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Google Research Introduces TimesFM: A Game-Changing Forecasting Model
Time series forecasting is a critical task in machine learning, with applications spanning various industries such as finance, manufacturing, healthcare,
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Unpacking the Trade-Offs in Language Model Training: Finding the Sweet Spot Between Pretraining, Specialization, and Inference Budgets
Language models have become an indispensable tool in various domains, enabling machines to understand and generate human-like text. However, the
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Weak-to-Strong JailBreaking Attack: An Efficient AI Method to Attack Aligned LLMs to Produce Harmful Text
Artificial Intelligence (AI) has made significant advancements in recent years, with large language models (LLMs) like ChatGPT and Llama showcasing
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Meet Graph-Mamba: A Novel Graph Model that Leverages State Space Models (SSM) for Efficient Data-Dependent Context Selection
Graph modeling has proven to be a challenging task, especially when it comes to capturing long-range dependencies and handling scalability
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Exploring the Frontier of AI Efficiency: Compressing Language Models Without Compromising Accuracy
Language models have revolutionized many applications by harnessing the power of human language. These models enable translation, content creation, and
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