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LLMs optimized for human-like politeness are pushovers in negotiation, but EmoDistill unlocks their inner Machiavelli by teaching them to weaponize emotions for strategic advantage.
LLMs can be harnessed to generate synthetic data that respects complex operational constraints, overcoming the limitations of existing tabular generative models.
LLMs can now autonomously construct and reason over dynamic knowledge graphs with calibrated uncertainty, opening up complex supply chain analysis previously impossible with one-shot queries.
Explicitly regulating a research agent's mental model with feedback loops beats relying on implicit LLM reasoning, leading to significant gains on complex research tasks.
Friendshoring, intended to bolster supply chain resilience, paradoxically increases globalization and network density, potentially raising transaction costs.