Agents
The rapid evolution of software libraries presents a significant challenge for code generation models, which must adapt to frequent …
Recent progress in large language models (LLMs) has focused on producing responses that meet human expectations and align with shared …
Leading language model (LM) providers like OpenAI and Anthropic allow customers to fine-tune frontier LMs for specific use cases. To …
The rapid evolution of software libraries presents a significant challenge for code generation models, which must adapt to frequent …
Large language model (LLM) agents for web interfaces have advanced rapidly, yet open-source systems still lag behind proprietary …
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 …
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 …