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cs.CL2025
InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU
Heejun Lee, Geon Park, Jaduk Suh +1
In modern large language models (LLMs), handling very long context lengths presents significant challenges as it causes slower inference speeds and increased memory costs. Addition…
cs.CL2025
A Training-free Sub-quadratic Cost Transformer Model Serving Framework With Hierarchically Pruned Attention
Heejun Lee, Geon Park, Youngwan Lee +7
In modern large language models (LLMs), increasing the context length is crucial for improving comprehension and coherence in long-context, multi-modal, and retrieval-augmented lan…