Deep researcher with test-time diffusion
The recent advances in large language models (LLMs) have fueled the emergence of deep research (DR) agents. These agents demonstrate remarkable capabilities, including the generation of novel ideas, efficient information retrieval, experimental execution, and the subsequent drafting of comprehensive reports and academic papers. Currently, most public DR agents use a variety of clever techniques to improve their results, like performing reasoning via chain-of-thought or generating multiple answe