[KongchangAI]
Benchmark

DeepResearch

A long-context deep research agent benchmark involving diverse tool calls. It employs composite scoring criteria to evaluate agents' long-horizon research and synthesis capabilities.

Core Facts

Timeline (last 90 days)

Oct 13

On day 13 of its 30-day search series, Valyu fully demonstrated a real case: how to build a custom DeepResearch workflow for vendor onboarding research and call it through the TypeScript API.

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Oct 13

DeepResearch executes multi-step, long-running processes, with both running cost and time far higher than ordinary queries, so codifying the research framework is valuable.

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Sep 24

The authors evaluated RLDS on four agent benchmarks: FrozenLake, HotpotQA, ScienceWorld, and DeepResearch.

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Sep 24

The improvements of RLDS on HotpotQA and DeepResearch fall within the noise range, consistent with the diagnostic prediction that these two tasks have limited recoverable information.

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Sep 24

The DeepResearch task involves four tools including search, summarization, and citation, and uses a composite rubric reward to measure report quality.

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All Facts (6)

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