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Miguel Muñoz-Mármol

2 accepted papers

2026

DRBench: A Realistic Benchmark for Enterprise Deep Research

ICLR 2026poster

We introduce DRBench, a benchmark for evaluating AI agents on complex, open-ended deep research tasks in enterprise settings. Unlike prior benchmarks that focus on simple questions or web-only queries, DRBench evaluates agents on multi-step queries (for example, "What changes should we make to our p…

Cited by 0SourcecodeScholar
2025

How to Train Your LLM Web Agent: A Statistical Diagnosis

NeurIPS 2025poster

Large language model (LLM) agents for web interfaces have advanced rapidly, yet open-source systems still lag behind proprietary agents. Bridging this gap is key to enabling customizable, efficient, and privacy-preserving agents. Two challenges hinder progress: the reproducibility issues in RL and L…

Cited by 0SourceScholar