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The article argues that autoregressive language models cannot achieve true understanding of formal mathematics and need verification methods, citing systems like Aleph that rely on strict mathematical proof.
This paper introduces a relevance-sensitive evaluation suite for legal AI, demonstrating that LLMs are overly sensitive to legally irrelevant perturbations, and proposes LexGuard, an adversarial multi-agent framework using formal reasoning to improve legal reasoning reliability.
Aleph, a new formal reasoning AI system, leads major benchmarks, validating Yann LeCun's emphasis on Energy-Based Models for AI reasoning.