stp2y

arXiv:2408.08399v1 Announce Type: new Abstract: Electricity Consumption Profiles (ECPs) are crucial for operating and planning power distribution systems, especially with the increasing numbers of various low-carbon technologies such as solar panels and electric vehicles. Traditional ECP modeling methods typically assume the availability of sufficient ECP data. However, in practice, the accessibility of ECP data is limited due to privacy issues or the absence of metering devices. Few-shot learning (FSL) has emerged as a promising solution for ECP modeling in data-scarce scenarios. Nevertheless, standard FSL methods, such as those used for images, are unsuitable for ECP modeling because (1) these methods…

[Submitted on 15 Aug 2024] View a PDF of the paper titled Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment, by Daniele Rege Cambrin and 5 other authors View PDF HTML (experimental) Abstract:Designing effective game tutorials is crucial for a smooth learning curve for new players, especially in games with many rules and complex core mechanics. Evaluating the effectiveness of these tutorials usually requires multiple iterations with testers who have no prior knowledge of the game. Recent Vision-Language Models (VLMs) have demonstrated significant capabilities in understanding and interpreting visual content. VLMs can analyze images, provide detailed insights, and…

arXiv:2408.08444v1 Announce Type: new Abstract: In knowledge-intensive tasks such as open-domain question answering (OpenQA), Large Language Models (LLMs) often struggle to generate factual answers relying solely on their internal (parametric) knowledge. To address this limitation, Retrieval-Augmented Generation (RAG) systems enhance LLMs by retrieving relevant information from external sources, thereby positioning the retriever as a pivotal component. Although dense retrieval demonstrates state-of-the-art performance, its training poses challenges due to the scarcity of ground-truth evidence, largely attributed to the high costs of human annotation. In this paper, we propose W-RAG by utilizing the ranking capabilities of LLMs to create weakly labeled data…

(Anatolir/Shutterstock) Cockroach Labs Inc., the company behind the distributed SQL database CockroachDB, is changing its licensing model to better align with the evolving needs of its customer base.  The new licensing strategy involves consolidating the self-hosted version of CockroachSB under a single license model that the company is calling CockroachDB Software License.  Cockroach Labs changed its licensing model five years ago when it moved away from an open-source model. With the release of its latest version of CockRoachDB in November this year, the company will retire its free Core offering, which was available to users with self-hosted deployments. Instead, Cockroach…

Retrieval Augmented Generation (RAG) has revolutionized how we fetch relevant and recent facts from vector databases. However, RAG’s capabilities fall short when it comes to connecting facts and understanding the connection between sentences and their context. GraphRAG has emerged to help understand text datasets better by unifying text extraction, analysis over graph networks, and summarization within a single cohesive system. How GraphRAG Maintains Data and Handles Queries The efficiency of graphs is tied to their hierarchical nature. Graphs connect information via edges and enable traversal across nodes to reach the point of truth while understanding the dependencies. These connections help…