Agents
Large language model (LLM) agents for web interfaces have advanced rapidly, yet open-source systems still lag behind proprietary …
We introduce DRBench, a benchmark for evaluating AI agents on complex, open-ended enterprise deep research tasks. Unlike existing …
Prompt injections pose a critical weakness for modern Large Language Models, making it difficult for AI to distinguish between …
Understanding diverse web data and automating web development presents an exciting challenge for agentic multimodal models. While …
Charts are essential to data analysis, transforming raw data into clear visual representations that support human decision-making. …
We present DoomArena, a security evaluation framework for AI agents. DoomArena is designed on three principles: 1) It is a …
Large Language Models (LLMs) such as GPT-4o can handle a wide range of complex tasks with the right prompt. As per token costs are …
We introduce AgentAda, the first LLM-powered analytics agent that can learn and use new analytics skills to extract more specialized …
We present DoomArena, a security evaluation framework for AI agents. DoomArena is designed on three principles: 1) It is a …
The rise of AI agents that can use tools, browse the web and interact with computers on behalf of a user, has sparked strong interest …