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Multi-agent debate is increasingly used to reach consensus among LLM agents, yet agents often yield to a unanimous majority. When an agent changes its answer, has it changed its mind or only its statement? We study this with two-hop factual questions whose intermediate entity (the bridge, e.g. the country in"the capita...
This work designs Finance-LaTeX SKILL, a skill for synthesizing financial documents with complex layouts based on expert knowledge, and introduces FinanceComplexQA, a comprehensive open-ended generation benchmark for financial documents that closely resembles real-world scenarios.
This work proposes Safet-yMem, a novel framework that secures LLMs through a dual-component safety memory sys-tem, and introduces an adversarial memory expansion mechanism that proactively generates challenging variants to solidify these memories.
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