ai9stars/HiEviDR-Bench
HiEviDR-Bench HiEviDR-Bench is a benchmark for evaluating Hierarchical Evidence aggregation in multimodal Deep Research. It is designed to assess whether a model can correctly retrieve, connect, and synthesize evidence from large-scale heterogeneous sources, rather than merely producing a fluent final answer or report. Unlike existing benchmarks that mainly focus on final outcomes such as answer correctness, report quality, or citation alignment, HiEviDR-Bench provides… See the full description on the dataset page: https://huggingface.co/datasets/ai9stars/HiEviDR-Bench.
| Author / organization | ai9stars |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 271 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 17 April 2026 |
| Last updated at source | 29 July 2026 |
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