Datasets › LLaVA-Bench
LLaVA-Bench
LLaVA-Bench is a dataset created to evaluate the capability of large multimodal models (LMM) in more challenging tasks and generalizability to novel domains. It consists of a diverse set of 24 images with 60 questions in total, including indoor and outdoor scenes, memes, paintings, sketches, etc., and each image with a highly-detailed and manually-curated description and a proper selection of questions. The dataset is part of the LLaVA project, which aims to develop multimodal chatbots that follow human intents to complete various daily-life visual tasks in the wild.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| visual instruction following | LLaVA-Bench | CuMo-7B avg score 85.7 | CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts | shi-labs/cumo | 8 | Compare |
Papers archive 2025-07-28
5 shown of 5 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 130. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts | 1 | 1 | 9 May 2024 | ran 10 of 12 samples (2 unverified) |
| ShareGPT4V: Improving Large Multi-Modal Models with Better Captions | 1 | 2 | 21 Nov 2023 | not harvested |
| Improved Baselines with Visual Instruction Tuning | 9 | 2 | 5 Oct 2023 | ran 6 of 9 samples (3 unverified; 8 pointer-only for licence) |
| InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning | 4 | 2 | 11 May 2023 | not harvested |
| BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models | 17 | 1 | 30 Jan 2023 | ran 4 of 8 samples (4 unverified; 1 pointer-only for licence) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- LLaVA-Bench
1 variant name, as the archive lists them.
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