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AD-Bench: A Real-World, Trajectory-Aware Advertising Analytics Benchmark for LLM Agents

Lingxiang Hu, Yiding Sun, Tianle Xia, Wenwei Li, Ming Xu, Liqun Liu · Feb 15, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 38% High protocol signal Freshness: Warm Status: Ready
Expert Verification Simulation Env Long Horizon Coding
  • While Large Language Model (LLM) agents have achieved remarkable progress in complex reasoning tasks, evaluating their performance in real-world environments has become a critical problem.
  • To address this gap, we propose AD-Bench, a benchmark designed based on real-world business requirements of advertising and marketing platforms.
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