Browsing: ML News
Large Language Models (LLMs) like GPT-4, Gemini, and Llama have revolutionized textual dataset augmentation, offering new possibilities for enhancing small downstream classifiers. However, this approach faces…
Gregor Betz from Logikon AI, KIT introduces Guided Reasoning. A system with more than one agent is a Guided Reasoning system if one agent, called the…
Machine learning has revolutionized various fields, offering powerful tools for data analysis and predictive modeling. Central to these models’ success is hyperparameter optimization (HPO), where the…
Hypergraphs, which extend traditional graphs by allowing hyperedges to connect multiple nodes, offer a richer representation of complex relationships in fields like social networks, bioinformatics, and…
Understanding social interactions in complex real-world settings requires deep mental reasoning to infer the underlying mental states driving these interactions, known as the Theory of Mind…
The success of ANNs stems from mimicking simplified brain structures. Neuroscience reveals that neurons interact through various connectivity patterns, known as circuit motifs, which are crucial…
Large Language Models (LLMs) have gained significant prominence in recent years, driving the need for efficient GPU utilization in machine learning tasks. However, researchers face a…
Graph learning focuses on developing advanced models capable of analyzing and processing relational data structured as graphs. This field is essential in various domains, including social…
Cardinality estimation (CE) is crucial in optimizing query performance in relational databases. It involves predicting the number of intermediate results a database query will return, directly…
Large Language Models (LLMs) have revolutionized natural language processing but face significant challenges in handling very long sequences. The primary issue stems from the Transformer architecture’s…