Generative AI
We study the use of large language model-based agents for interacting with software via web browsers. Unlike prior work, we focus on …
Text-based dialogues are now widely used to solve real-world problems. In cases where solution strategies are already known, they can …
Text-based game environments are challenging because agents must deal with long sequences of text, execute compositional actions using …
Literature reviews are an essential component of scientific research. We explore the zero-shot abilities of recent large language …
Low-resource extractive text summarization is a vital but heavily underexplored area of research. Prior literature either focuses on …
We introduce NNetscape Navigator (NNetnav), a method for training web agents entirely through synthetic demonstrations. These …
The BigCode project, an open-scientific collaboration focused on the responsible development of Large Language Models for Code (Code …
Scalable Vector Graphics (SVGs) have become integral in modern image rendering and graphic design applications due to their infinite …
We present TapeAgents, an agent framework that leverages a structured, replayable log (tape) of the agent session to facilitate all …
This document serves as an overview of the different mechanisms and areas of governance in the BigCode project. It aims to support …