Research map / Vision-language and multimodal / Multimodal LLMs
LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use LAMM instead of LLaVA | LAMM vs. LLaVA · Binary locating metric | localization ability | Helped |
| use LAMM instead of LLaVA | LAMM vs. LLaVA · Image captioning | GPT metric ranking | Helped |
| fine-tune LAMM on detection-related data | LAMM · Object detection | bounding-box accuracy | Helped |
| use LAMM instead of LLaVA | LAMM vs. LLaVA · Object counting | counting performance | Helped |
| use LAMM instead of LLaVA | LAMM vs. LLaVA · Flickr30k | BLEU4 | Hurt |
Closest papers by meaning
- On Path to Multimodal Generalist: General-Level and General-Bench (ICML 2025 · similarity 0.90)
- L-Man: A Large Multi-modal Model Unifying Human-centric Tasks (AAAI 2025 · similarity 0.90)
- MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs (NeurIPS 2024 · similarity 0.89)
- Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models (CVPR 2025 · similarity 0.88)
- NExT-GPT: Any-to-Any Multimodal LLM (ICML 2024 · similarity 0.88)
- Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models (ICML 2024 · similarity 0.88)
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