What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

Time-consuming and Error-prone Insurance Claim Processes Efficient and accurate insurance claim processing is vital in the finance and banking industry. It impacts customer satisfaction, operational ...

A number of papers show how to translate complex, layout-heavy documents — moving beyond cascading multi-stage pipelines to ...

To address these issues, two technological routes based on large language models (LLM) have emerged: Text2SQL and DataAgent. They represent two different approaches to data democratization. Text2SQL: ...

1. Introduction: Two Evolutionary Paths to Data Democratization In the wave of digital transformation for enterprises, data analysis capability has become the core of competitiveness. However, ...

We have seen cases of very large query strings that caused OOMEs when parsing. The heap dump revealed we were parsing a query string. (See below for stack traces of the largest threads.) This was on 8 ...

Abstract: With the rapid development of location-based services in the mobile Internet, a large amount of spatial-keyword data for range queries is outsourced to the cloud to alleviate local storage ...

Tencent has open-sourced its Hunyuan-MT AI translation models, which dominated WMT2025 benchmarks by outperforming industry ...

Abstract: Shortest path (SP) computation is the building block for many location-based services, and achieving high throughput SP query processing with real-time response is crucial for those services ...