Cache-to-Cache: Direct Semantic Communication Between LLMs (2025) (arxiv.org)

Screenshot of arxiv.org: Cache-to-Cache: Direct Semantic Communication Between LLMs (2025)

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Screenshot of arxiv.org: 26× Faster Inference with Layer-Condensed KV Cache for Large Language Models

26× Faster Inference with Layer-Condensed KV Cache for Large Language Models (arxiv.org)

112 points by georgehill 2 years ago | 16 comments

Screenshot of arxiv.org: SparseLoCo: Communication-Efficient LLM Training

SparseLoCo: Communication-Efficient LLM Training (arxiv.org)

11 points by synapz_org 1 year ago | 1 comments

Screenshot of arxiv.org: LM2: Large Memory Models

LM2: Large Memory Models (arxiv.org)

105 points by fzliu 1 year ago | 30 comments

Screenshot of arxiv.org: Context Language Models

Context Language Models (arxiv.org)

164 points by emersonmacro 25 days ago | 44 comments

arXiv paper introducing Context Language Models, LLMs that natively manage their own context by treating it as an editable file, with benchmarks on agent tasks.

context-management language-models llm-agents multi-agent-systems

Screenshot of arxiv.org: Parameter-free KV cache compression for memory-efficient long-context LLMs

Parameter-free KV cache compression for memory-efficient long-context LLMs (arxiv.org)

60 points by PaulHoule 1 year ago | 13 comments

Screenshot of arxiv.org: Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space

Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space (arxiv.org)

47 points by gmays 9 months ago | 4 comments

Looks similar

26× Faster Inference with Layer-Condensed KV Cache for Large Language Models(arxiv.org)

SparseLoCo: Communication-Efficient LLM Training(arxiv.org)

LM2: Large Memory Models(arxiv.org)

Context Language Models(arxiv.org)

Parameter-free KV cache compression for memory-efficient long-context LLMs(arxiv.org)

Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space(arxiv.org)