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We take significant steps toward unifying autoregressive and diffusion-based sequence generation by extending the SEDD discrete …
Understanding diverse web data and automating web development presents an exciting challenge for agentic AI. While existing benchmarks …
This paper presents EarthView, a comprehensive dataset specifically designed for self-supervision on remote sensing data, intended to …
Recent advancements in large language models (LLMs) have spurred interest in developing autonomous agents capable of performing complex …
Vision and language models that can accurately understand both images and text are crucial for deeper document understanding. These …
Training large language models (LLMs) for pretraining or adapting to new tasks and domains has become increasingly critical as their …
Forecasting is a critical task in decision making across various domains. While numerical data provides a foundation, it often lacks …
Numerous decision-making tasks require estimating causal effects under interventions on different parts of a system. As practitioners …
We analyze the convergence of a novel policy gradient algorithm (referred to as SPMA) for multi-armed bandits and tabular Markov …
Recent advancements in large language models (LLMs) have sparked interest in developing autonomous web agents capable of performing …