Style vs. Correctness
Subbarao discusses the limitations of large language models (LLMs) in verifying factual correctness while excelling in stylistic improvements. He highlights the distinction between style and correctness, emphasizing that even a well-structured essay can contain critical factual errors. The conversation reveals the need for external verifiers to complement LLMs, as traditional AI systems are better suited for ensuring correctness.In this clip
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Machine Learning Street Talk (MLST)
Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)
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