Models inside a research method
Machine-Assisted Research explores how language models can support a rigorous inquiry without becoming the source of record. The workflow begins with a defined question, gathers primary material through search, and uses models to help classify, compare, and challenge what has been found.
Each useful claim remains connected to evidence. Contradictions, missing coverage, and inference are recorded explicitly before a human reviewer decides what the material supports.
Working pattern
Current experiments separate discovery, extraction, synthesis, and verification into distinct stages. This makes it easier to select the right tool for each step and to inspect where errors enter the process.
Topics
Research systems · Search · Human review