Papers with non-training methods

1 papers
Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaboration (2026.acl-long)

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Challenge: Existing context window extension methods obstruct scaling external knowledge input.
Approach: They develop a multi-agent framework to overcome two core bottlenecks in existing agent orchestration designs.
Outcome: The proposed framework overcomes two core bottlenecks and improves inference-time knowledge integration without longer-context training.

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