用Shapley值公平量化LLM摘要中各文档的贡献，解决价值分配不公问题，理论严谨。
arXiv:2505.23842v5 Announce Type: replace Abstract: Large Language Models (LLMs) increasingly power search engines and AI assistants that retrieve and…
用Shapley信息增益指导强化学习，让医疗大模型学会主动问诊，提升诊断准确性。
arXiv:2508.13514v2 Announce Type: replace-cross Abstract: Interactive medical questioning is essential in clinical consultations, where physicians mus…
KDD 2026新研究，对比SHAP、规则提取与RuleSHAP三种全局可解释方法，检测大模型中注入的误导信息行为。
arXiv:2505.11189v3 Announce Type: replace-cross Abstract: Large language models (LLMs) can amplify misinformation, undermining societal goals such as …
Shapley值解释多模态大模型，文本音频融合可解释新平台
arXiv:2606.07531v1 Announce Type: new Abstract: We introduce mllm-shap, an open-source Python framework designed to extend Shapley Value (SV) explaina…
用Shapley值精准定位大语言模型输入的不确定性来源，为模型可解释性与安全性提供新思路
arXiv:2605.28170v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly integrated into high-stakes decision-making, the abil…
研究发现多重共线性会严重削弱AI入侵检测的可解释性稳定性，并提出缓解策略，值得关注。
arXiv:2605.22529v1 Announce Type: cross Abstract: This paper investigates a unexplored yet impactful vulnerability in AI explainability used in intrus…
提出MaxShapley新方法，为生成式搜索实现激励兼容与公平的上下文归因，解决大模型应用中的关键难题。
arXiv:2512.05958v2 Announce Type: replace Abstract: Generative search engines based on large language models (LLMs) are replacing traditional search, …
突破二元无环限制，提出支持任意有向加权优先级图的广义Shapley值，解决真实数据估值难题。
arXiv:2605.15018v1 Announce Type: cross Abstract: Shapley value and its priority-aware extensions are widely used for valuation in machine learning, b…
一篇关于需求塑造的实战指南，帮你在开发前精准界定功能范围，避免无谓的工程浪费
We now have a solid set of user stories for Clarity. We know who the actors are, what they need to do, and what done looks like for each feature. That…