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📄 **Paper:** [OpenReview](https://openreview.net/forum?id=ILRx5neJk6)
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🏆 **Accepted at ICML 2026**
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Existing evaluations for Deep Research Agents often remain surface-level when assessing long-form expert reports. DEER enables evaluation from an expert perspective using 101 fine-grained rubrics and task-specific human expert evaluation guidance. It also links every factual statement in a report to relevant external evidence and verifies whether the content is actually grounded, enabling a more complete assessment of report reliability.
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📄 **Paper:** [OpenReview](https://openreview.net/forum?id=ILRx5neJk6)
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🏆 **Accepted at ICML 2026**
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💻 **Code:** [GitHub](https://github.com/hanjanghoon/DEER)
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Existing evaluations for Deep Research Agents often remain surface-level when assessing long-form expert reports. DEER enables evaluation from an expert perspective using 101 fine-grained rubrics and task-specific human expert evaluation guidance. It also links every factual statement in a report to relevant external evidence and verifies whether the content is actually grounded, enabling a more complete assessment of report reliability.
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