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Co-evolving knowledge bases with reasoning capabilities can dramatically enhance the accuracy and relevance of answers in knowledge-intensive tasks.
LLM coding agents still fall short when optimizing real-world codebases, especially when balancing multiple objectives like performance and correctness, as revealed by the new FormulaCode benchmark.
