Papers › LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Shilong Liu, Hao Cheng, Haotian Liu, Hao Zhang, Feng Li, Tianhe Ren, Xueyan Zou, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang, Jianfeng Gao, Chunyuan Li
LLaVA-Plus is a general-purpose multimodal assistant that expands the capabilities of large multimodal models. It maintains a skill repository of pre-trained vision and vision-language models and can activate relevant tools based on users' inputs to fulfill real-world tasks. LLaVA-Plus is trained on multimodal instruction-following data to acquire the ability to use tools, covering visual understanding, generation, external knowledge retrieval, and compositions. Empirical results show that LLaVA-Plus outperforms LLaVA in existing capabilities and exhibits new ones. It is distinct in that the image query is directly grounded and actively engaged throughout the entire human-AI interaction sessions, significantly improving tool use performance and enabling new scenarios.
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Code
Syntology Ran 2 of 2 code samples harvested from 1 repository linked to this paper; 0 have no recorded run. Of those that ran: 1 ran · our draft was wrong; 1 ran · fixture could not drive it.
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Code Syntology ran Syntology
2 samples harvested; 2 ran; 0 honoured the contract we drafted; 0 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| LMM real-life tasks | Leaderboard | LLaVA-Plus (13B) | ELO Rating | 1203 | #1 of 1 | Archive leaderboard | report |
| LMM real-life tasks | Leaderboard | LLaVA-Plus (13B) | Win rate | 0.3507 | #1 of 1 | Archive leaderboard | report |
| Visual Question Answering | MM-Vet | LLaVA-Plus-13B (All Tools, V1.3, 336px) | GPT-4 score | 35.0±0.0 | #163 of 231 | Archive leaderboard | report |
| Visual Question Answering | MM-Vet | LLaVA-Plus-13B (All Tools, V1.3, 336px) | Params | 13B | #163 of 231 | Archive leaderboard | report |
| Visual Question Answering | MM-Vet | LLaVA-Plus-7B (All Tools) | GPT-4 score | 27.5±0.3 | #218 of 231 | Archive leaderboard | report |
| Visual Question Answering | MM-Vet | LLaVA-Plus-7B (All Tools) | Params | 7B | #218 of 231 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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