KV-streams for Efficient Compaction in Agentic Reinforcement Learning
Researchers propose KV-streams to address GPU memory bottlenecks and training throughput issues in agentic LLM context compaction.
arXiv cs.LG — Machine Learning·16 Oct 2026
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Researchers propose KV-streams to address GPU memory bottlenecks and training throughput issues in agentic LLM context compaction.
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