"You Don't Need Long Context"
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"You Don't Need Long Context" NVIDIA finds that LLM agents can complete complex long-horizon tasks without maintaining their entire conversation history, which reduces inference costs. So instead of accumulating tokens, they use frequent context compaction to summarize progress and retrieve information when needed, even resetting the context after every agent action. Across six long-horizon benchmarks, this preserves accuracy while achieving up to 8.8x lower estimated inference costs. https://www.alphaxiv.org/abs/2611.05306
Posted by alphaXiv (60.5k followers) 10 h ago · 346 likes · 17.6k views · view the original post on X. Kept by the AI Radar as AI agents. Tools mentioned: alphaXiv.
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