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Academic search systems are evolving from simple document retrieval to sophisticated tools that support synthesis and conversational interaction, driven by GenAI innovations.
Fictitious knowledge entries can safeguard RAG databases without compromising query integrity, achieving high detection rates with minimal interference.
YouZhi-LLM achieves unprecedented concurrency and accuracy in financial LLMs by dramatically reducing KV-cache overhead, setting a new standard for deployment efficiency.
LLMs can be easily misled by fabricated evidence, with even top-tier models failing to fully mitigate this vulnerability.
