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No exact ID match for "2602.21143". Showing results for "A Benchmark for Deep Information Synthesis" instead.
A Benchmark for Deep Information Synthesis

Debjit Paul, Daniel Murphy, Milan Gritta, Ronald Cardenas, Victor Prokhorov, Lena Sophia Bolliger · Feb 24, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 38% High protocol signal Freshness: Warm Status: Fallback
Automatic Metrics Tool Use Coding
  • To address this, we introduce DEEPSYNTH, a novel benchmark designed to evaluate agents on realistic, time-consuming problems that combine information gathering, synthesis, and structured reasoning to produce insights.
  • When evaluated on DEEPSYNTH, 11 state-of-the-art LLMs and deep research agents achieve a maximum F1 score of 8.97 and 17.5 on the LLM-judge metric, underscoring the difficulty of the benchmark.
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