Privacy-enhanced federated learning via asynchronous aggregation and local differential perturbation
该研究提出了一种增强隐私的联邦学习框架，通过结合动态差分隐私、轻量级同态加密和本地差分隐私技术，在保证数据隐私的同时支持异步环境下的分布式训练。
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研究解决了自由形式位置短语到地理实体的映射问题，采用任务适应检索方法，通过改进的双编码器模型提高非标准查询的相关性。
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Efficient GPU Retrieval for Semantic Search
为提高LinkedIn语义搜索相关性，提出一种与策略对齐的检索框架，并通过两阶段GPU架构实现高效检索。
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CaRGo-T: Causal Reasoning Graph-of-Thought improves Multimodal Humor Comprehension
本文提出CaRGo-T方法，通过构建因果关系图来改进多模态幽默理解与检测问题，实验显示该方法在多个数据集上优于现有基线。
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Governance at the Boundary: How Agent Decomposition Degrades Policy Compliance
This study addresses the compliance degradation arising from agent component decomposition by introducing Fiducia-bench, the first governance benchmark for financial agents. Through KYC/AML tasks and comparative experiments across multiple architectures, this work reveals a novel mechanism wherein boundary information attenuation within orchestration frameworks leads to compliance failures. Notably, factual decay rates reach 85% and are significantly modulated by model capabilities. Furthermore, the research elucidates the correlation between architectural complexity and governance costs, providing critical mechanistic insights into agent compliance risks. By open-sourcing both the dataset and validation framework, this work fills a significant gap in evaluating financial agent governance, establishing a foundational resource for future research on compliant autonomous systems in regulated domains.
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Privacy-enhanced federated learning via asynchronous aggregation and local differential perturbation
该研究提出了一种增强隐私的联邦学习框架，通过结合动态差分隐私、轻量级同态加密和本地差分隐私技术，在保证数据隐私的同时支持异步环境下的分布式训练。
0 citationsRead paper
From Location Phrases to Geographic Entities: Task-Adapted Retrieval for People Search
研究解决了自由形式位置短语到地理实体的映射问题，采用任务适应检索方法，通过改进的双编码器模型提高非标准查询的相关性。
0 citationsRead paper
Efficient GPU Retrieval for Semantic Search
为提高LinkedIn语义搜索相关性，提出一种与策略对齐的检索框架，并通过两阶段GPU架构实现高效检索。
0 citationsRead paper
CaRGo-T: Causal Reasoning Graph-of-Thought improves Multimodal Humor Comprehension
本文提出CaRGo-T方法，通过构建因果关系图来改进多模态幽默理解与检测问题，实验显示该方法在多个数据集上优于现有基线。
0 citationsRead paper
Governance at the Boundary: How Agent Decomposition Degrades Policy Compliance
This study addresses the compliance degradation arising from agent component decomposition by introducing Fiducia-bench, the first governance benchmark for financial agents. Through KYC/AML tasks and comparative experiments across multiple architectures, this work reveals a novel mechanism wherein boundary information attenuation within orchestration frameworks leads to compliance failures. Notably, factual decay rates reach 85% and are significantly modulated by model capabilities. Furthermore, the research elucidates the correlation between architectural complexity and governance costs, providing critical mechanistic insights into agent compliance risks. By open-sourcing both the dataset and validation framework, this work fills a significant gap in evaluating financial agent governance, establishing a foundational resource for future research on compliant autonomous systems in regulated domains.
0 citationsRead paper