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Collections including paper arxiv:2407.04841

Associative Recurrent Memory Transformer

Paper • 2407.04841 • Published Jul 5 • 31
Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams

Paper • 2406.08085 • Published Jun 12 • 13

Associative Recurrent Memory Transformer

Paper • 2407.04841 • Published Jul 5 • 31
Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Paper • 2407.04620 • Published Jul 5 • 26

Sequence Modeling

Associative Recurrent Memory Transformer

Paper • 2407.04841 • Published Jul 5 • 31

LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages

Paper • 2407.05975 • Published Jul 8 • 34
Associative Recurrent Memory Transformer

Paper • 2407.04841 • Published Jul 5 • 31

Models Architectures

Associative Recurrent Memory Transformer

Paper • 2407.04841 • Published Jul 5 • 31
Mixture-of-Agents Enhances Large Language Model Capabilities

Paper • 2406.04692 • Published Jun 7 • 54
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Paper • 2405.21060 • Published May 31 • 63
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Paper • 2404.14219 • Published Apr 22 • 250

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Paper • 2407.02490 • Published Jul 2 • 23
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations

Paper • 2406.13632 • Published Jun 19 • 5
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs

Paper • 2406.15319 • Published Jun 21 • 60
Make Your LLM Fully Utilize the Context

Paper • 2404.16811 • Published Apr 25 • 52

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