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PACT reduces token usage by half while maintaining task performance, revolutionizing communication efficiency in multi-agent systems.
The hardest AI tasks remain largely unsolved, with current models achieving only a 2.6% success rate on economically valuable workflows.
Removing misleading reasoning from answer-correct CoT traces can drastically enhance fine-tuning performance in LLMs.
