TaobaoTmall-AlgorithmProducts/E-VAds_Benchmark
π¬ E-VAds Benchmark E-VAds: An E-commerce Short Videos Understanding Benchmark for MLLMs (ICML 2026) English | δΈζζζ‘£ π Overview E-VAds (E-commerce Video Ads Benchmark) is the first large-scale benchmark specifically designed to evaluate Multimodal Large Language Models (MLLMs) on conversion-oriented e-commerce short video understanding. Unlike general video QA tasks, e-commerce videos present unique challenges with high-density multimodal signals, rapidβ¦ See the full description on the dataset page: https://huggingface.co/datasets/TaobaoTmall-AlgorithmProducts/E-VAds_Benchmark.
| Author / organization | TaobaoTmall-AlgorithmProducts |
|---|---|
| Downloads | 643 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 11 May 2026 |
| Last updated at source | 27 May 2026 |
Popularity, last 3 days
643 now (-86 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: π¬ E-VAds Benchmark E-VAds: An E-commerce Short Videos Understanding Benchmark for MLLMs (ICML 2026) English | δΈζζζ‘£ π Overview E-VAds (E-commerce Video Ads Benchmark) is the first large-scale benchmark specifically designed to evaluate Mul β π¬ E-VAds Benchmark E-VAds: An E-commerce Short Videos Understanding Benchmark for MLLMs (ICML 2026) English | δΈζζζ‘£ π Overview E-VAds (E-commerce Video Ads Benchmark) is the first large-scale benchmark specifically designed to evaluate Mul
Changes detected by Silytics between refreshes of the source.
More from TaobaoTmall-AlgorithmProducts
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.