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Many critical enterprise functions—such as strategic sales, market due diligence, competitive analysis, regulatory strategy, and …
Reinforcement Learning (RL) is increasingly utilized to enhance the reasoning capabilities of Large Language Models (LLMs). However, …
We introduce DRBench, a benchmark for evaluating AI agents on complex, open-ended enterprise deep research tasks. Unlike existing …
While web agents offer an avenue to solve a plethora of tasks due to their ability to navigate the web, they are still brittle and …
Large language model (LLM) agents for web interfaces have advanced rapidly, yet open-source systems still lag behind proprietary …
Frontier grade Large Language Models (LLMs) that have been few shot prompted to engage in dialogues with users seeking to accomplish …
Prompt injections pose a critical weakness for modern Large Language Models, making it difficult for AI to distinguish between …
Desktop environments remain the blind spot of multimodal-LLM agents: unlike web or mobile, they span heterogeneous software, lack …
UI grounding is a fundamental task for enterprise workflow automation. This task maps natural language instructions to precise pixel …
We present significant extensions to diffusion-based language models, blurring the line with autoregressive ones. We introduce …