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Collections including paper arxiv:2407.04841

Associative Recurrent Memory Transformer

Paper • 2407.04841 • Published Jul 5, 2024 • 32
Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams

Paper • 2406.08085 • Published Jun 12, 2024 • 13

Associative Recurrent Memory Transformer

Paper • 2407.04841 • Published Jul 5, 2024 • 32
Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Paper • 2407.04620 • Published Jul 5, 2024 • 28

Sequence Modeling

Associative Recurrent Memory Transformer

Paper • 2407.04841 • Published Jul 5, 2024 • 32

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

Paper • 2407.05975 • Published Jul 8, 2024 • 35
Associative Recurrent Memory Transformer

Paper • 2407.04841 • Published Jul 5, 2024 • 32

Associative Recurrent Memory Transformer

Paper • 2407.04841 • Published Jul 5, 2024 • 32
Mixture-of-Agents Enhances Large Language Model Capabilities

Paper • 2406.04692 • Published Jun 7, 2024 • 56
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Paper • 2405.21060 • Published May 31, 2024 • 64
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Paper • 2404.14219 • Published Apr 22, 2024 • 256

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

Paper • 2407.02490 • Published Jul 2, 2024 • 23
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations

Paper • 2406.13632 • Published Jun 19, 2024 • 5
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs

Paper • 2406.15319 • Published Jun 21, 2024 • 64
Make Your LLM Fully Utilize the Context

Paper • 2404.16811 • Published Apr 25, 2024 • 53

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