🪡📢 New paper from our group!
We explore the ability of frontier LLMs to follow threads of information through long context windows
"Needle Threading: Can LLMs Follow Threads through Near-Million-Scale Haystacks?"
Project page: needle-threading.github.io
🚀New Paper: "A Practitioner's Guide to Continual Multimodal Pretraining"!
arxiv.org/abs/2408.14471
🌐Foundation models like CLIP need constant updates to stay relevant. How to do this in the real-world?
Answer: Continual Pretraining!!
We studied how to effectively do this.🧵👇
🎉📢New Paper!
Introducing GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal Models
grab-benchmark.github.io
The highest-performing model scores just 21.7%
A thread 🧵
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