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Welcome, everyone.
Thank you for taking the time to view this presentation.
This work focuses on adaptive retrieval for cyber threat intelligence summarization, with the goal of improving factual grounding in large language model outputs.
In this presentation, we begin by motivating the problem of summarizing cyber threat intelligence and the limitations of using language models in isolation.
We then introduce our key insight and adaptive retrieval approach, describe the system architecture and inference workflow, and evaluate the method using factuality and latency metrics.
Finally, we conclude with key findings and directions for future work.
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IEEE/ICACT20260248 Slide.01
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