Solving BrowseComp: Three Paths to Building Better Search Agents
BrowseComp is one of the hardest benchmarks for LLM-based search agents. It requires deep, multi-hop web research where the agent must plan, search, read, and synthesize across dozens of interactions. Three recent papers attack this problem from fundamentally different angles: context management, data quality, and verification. Together they paint a clear picture of what it takes to build a frontier search agent today.