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Twin Agent achieves a superior security-utility balance, allowing LLMs to fend off prompt injection attacks without sacrificing performance.
LegalGraphRAG's multi-agent system ensures verifiable legal reasoning, moving beyond opaque LLM outputs to provide transparent, evidence-backed judgments.
Forget bolting vision onto language models – truly powerful multimodal AI demands rethinking architectures from the ground up.
ErrorLLM tackles the challenge of refining LLM-generated SQL by explicitly modeling and detecting implicit semantic errors, leading to substantial improvements in text-to-SQL performance.
