SGR-Bench evaluates agentic LLM systems on state-gated retrieval tasks where evidence is only accessible after configuring site-specific states, with the strongest system reaching 66.18% item-level F1 and failures dominated by retrieval-scope drift.
Draco: a cross-domain benchmark for deep research accuracy, completeness, and objectivity
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DeepWeb-Bench is a benchmark requiring massive cross-source evidence collection and long-horizon derivation, with evaluations on nine frontier models showing derivation and calibration as primary failure modes.
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SGR-Bench: Benchmarking Search Agents on State-Gated Retrieval
SGR-Bench evaluates agentic LLM systems on state-gated retrieval tasks where evidence is only accessible after configuring site-specific states, with the strongest system reaching 66.18% item-level F1 and failures dominated by retrieval-scope drift.