This paper presents an LLM-agent driven framework for dynamically discovering and organizing financial topics from quarterly earnings calls into a hierarchical ontology. The system enables analysts to track emerging …
This paper introduces FINTAGGING, the first comprehensive benchmark for evaluating large language models on XBRL tagging tasks, decomposing the complex process into financial numeric identification and concept linking …
This paper presents OOPS (OpenAI OpenAPI Project Scanner), a novel LLM-based approach for automatically generating OpenAPI specifications from REST API source code across multiple programming languages and frameworks. …
A comprehensive walkthrough of modern large language model applications, covering everything from basic text interactions to advanced features like voice mode, image processing, code generation, and tool integration …
Building DoorDash’s Product Knowledge Graph with Large Language Models DoorDash uses large language models to extract and standardize product attributes from merchant data, solving the cold-start problem that …
Introducing A2UI: An open project for agent-driven interfaces Google’s A2UI project enables AI agents to generate dynamic, contextually relevant user interfaces that integrate seamlessly across platforms and …
AI-Assisted Static Analysis Uncovers Potential Issues in Curl: Insights from Hacker News A recent Hacker News discussion reveals how AI tools successfully identified legitimate security issues in the curl library, …
DeepAnalyze: Autonomous Data Science Through Agentic Large Language Models DeepAnalyze-8B represents a breakthrough in autonomous data science, introducing the first agentic large language model capable of executing …
Getting AI to Work in Complex Codebases Large language models promise to revolutionize software development, but most developers struggle to apply them effectively to real production codebases. The challenge isn’t …
Sampling and Structured Outputs in LLMs Large language models generate text token by token, but production applications need structured data. Modern constraint systems solve this by masking invalid tokens during …
