Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
Paper
•
2405.19298
•
Published
Haoning Wu, Teo
teowu
AI & ML interests
Lead of Q-Future: https://github.com/Q-Future. I love MLLMs/LMMs/LVLMs/(any names you call them).
Recent Activity
authored
a paper
4 days ago
Adaptive Image Quality Assessment via Teaching Large Multimodal Model to
Compare
authored
a paper
4 days ago
LIME: Less Is More for MLLM Evaluation
Organizations
teowu's activity
authored
3
papers
4 days ago
commented
a
paper
4 days ago
upvoted
a
paper
4 days ago
commented
a
paper
4 days ago
liked
a
dataset
11 days ago
liked
a
model
30 days ago
liked
2
models
about 1 month ago
Reacted to
THUdyh's
post with 🔥
about 1 month ago
Post
3138
🔥🔥🔥Introducing Oryx-1.5!
A series of unified MLLMs with much stronger performance on all the image, video, and 3D benchmarks 😍
🛠️Github: https://github.com/Oryx-mllm/Oryx
🚀Model: THUdyh/oryx-15-6718c60763845525c2bba71d
🎨Demo: THUdyh/Oryx
👋Try the top-tier MLLM yourself!
👀Stay tuned for more explorations on MLLMs!
A series of unified MLLMs with much stronger performance on all the image, video, and 3D benchmarks 😍
🛠️Github: https://github.com/Oryx-mllm/Oryx
🚀Model: THUdyh/oryx-15-6718c60763845525c2bba71d
🎨Demo: THUdyh/Oryx
👋Try the top-tier MLLM yourself!
👀Stay tuned for more explorations on MLLMs!
liked
a
model
about 1 month ago
liked
a
dataset
about 1 month ago
liked
a
Space
about 1 month ago
updated
a
dataset
about 1 month ago
Update pipeline tag
#5 opened about 1 month ago
by
nielsr
nielsr
Reacted to
m-ric's
post with 🔥
about 1 month ago
Post
2916
Rhymes AI drops Aria: small Multimodal MoE that beats GPT-4o and Gemini-1.5-Flash ⚡️
New player entered the game! Rhymes AI has just been announced, and unveiled Aria – a multimodal powerhouse that's punching above its weight.
Key insights:
🧠 Mixture-of-Experts architecture: 25.3B total params, but only 3.9B active.
🌈 Multimodal: text/image/video → text.
📚 Novel training approach: “multimodal-native” where multimodal training starts directly during pre-training, not just tacked on later
📏 Long 64K token context window
🔓 Apache 2.0 license, with weights, code, and demos all open
⚡️ On the benchmark side, Aria leaves some big names in the dust.
- It beats Pixtral 12B or Llama-3.2-12B on several vision benchmarks like MMMU or MathVista.
- It even overcomes the much bigger GPT-4o on long video tasks and even outshines Gemini 1.5 Flash when it comes to parsing lengthy documents.
But Rhymes AI isn't just showing off benchmarks. They've already got Aria powering a real-world augmented search app called “Beago”. It’s handling even recent events with great accuracy!
And they partnered with AMD to make it much faster than competitors like Perplexity or Gemini search.
Read their paper for Aria 👉 Aria: An Open Multimodal Native Mixture-of-Experts Model (2410.05993)
Try BeaGo 🐶 👉 https://rhymes.ai/blog-details/introducing-beago-your-smarter-faster-ai-search
New player entered the game! Rhymes AI has just been announced, and unveiled Aria – a multimodal powerhouse that's punching above its weight.
Key insights:
🧠 Mixture-of-Experts architecture: 25.3B total params, but only 3.9B active.
🌈 Multimodal: text/image/video → text.
📚 Novel training approach: “multimodal-native” where multimodal training starts directly during pre-training, not just tacked on later
📏 Long 64K token context window
🔓 Apache 2.0 license, with weights, code, and demos all open
⚡️ On the benchmark side, Aria leaves some big names in the dust.
- It beats Pixtral 12B or Llama-3.2-12B on several vision benchmarks like MMMU or MathVista.
- It even overcomes the much bigger GPT-4o on long video tasks and even outshines Gemini 1.5 Flash when it comes to parsing lengthy documents.
But Rhymes AI isn't just showing off benchmarks. They've already got Aria powering a real-world augmented search app called “Beago”. It’s handling even recent events with great accuracy!
And they partnered with AMD to make it much faster than competitors like Perplexity or Gemini search.
Read their paper for Aria 👉 Aria: An Open Multimodal Native Mixture-of-Experts Model (2410.05993)
Try BeaGo 🐶 👉 https://rhymes.ai/blog-details/introducing-beago-your-smarter-faster-ai-search
- 1 reply
authored
a
paper
about 2 months ago
upvoted
a
paper
about 2 months ago
commented
a
paper
about 2 months ago