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LLMs can generate structurally sound legal analyses but often fall short in substantive reasoning, raising questions about their reliability in legal contexts.
A novel hybrid architecture combines LLMs with symbolic AI to create conversational agents that not only respond accurately but also explain their reasoning in legal contexts.
Despite outperforming humans on average, top VLMs falter in culturally grounded reasoning, revealing a critical gap in their understanding of heritage.
LLMs are more willing to compromise economic and social rights than political and civil rights, revealing a systematic bias in their understanding of human rights principles.
