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EdiTikZ models achieve superior performance in scientific figure editing, outperforming GPT-5.6-Sol and matching Gemini-3.1-Pro, even under challenging conditions.
Logically sound reasoning isn't enough to prevent LLMs from generating misleading claims in neurosymbolic fact-checking systems, because humans often draw unsupported inferences from valid conclusions.
LLMs can internally compute the right answer to simple reasoning tasks like character counting, but then actively suppress that information before outputting the final (wrong) answer.
