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MafiaScope: 非侵入式、时间分辨的信念探测，用于社交推理游戏中的LLM智能体

MafiaScope: 非侵入式、时间分辨的信念探测，用于社交推理游戏中的LLM智能体

Dual-Process Atomic Skill Learning Decoupling Semantic Reasoning and Real-Time Control

Dual-Process Atomic Skill Learning Decoupling Semantic Reasoning and Real-Time Control

JD-V: A New Variant of Jacobi–Davidson Method for Large Hermitian Eigenproblems

JD-V: A New Variant of Jacobi–Davidson Method for Large Hermitian Eigenproblems

Anamnesis: Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation

Anamnesis: Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation

Spectral Consistent Flow for One-step 3D Medical Image Translation

Spectral Consistent Flow for One-step 3D Medical Image Translation

Auditing Construct Overlap in Explainable Machine Learning: Evidence from Burnout-Depression Prediction Across Student Cohorts

Auditing Construct Overlap in Explainable Machine Learning: Evidence from Burnout-Depression Prediction Across Student Cohorts

Sequential Compliance Decisions of Firms on Cross-Border Data Flows: An Institutionally Anchored Decision Support System

Sequential Compliance Decisions of Firms on Cross-Border Data Flows: An Institutionally Anchored Decision Support System

U-Lens: 支持长篇 LLM 回答中的用户不确定性管理

U-Lens: 支持长篇 LLM 回答中的用户不确定性管理

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization

End to End Real Time Drone Based Person Detection Framework Using Deep Learning

End to End Real Time Drone Based Person Detection Framework Using Deep Learning

A Reproducible Software Workflow for Unanchored Approximate MUB Optimization: A Case Study in Dimension Six

A Reproducible Software Workflow for Unanchored Approximate MUB Optimization: A Case Study in Dimension Six

The Compliance Trap Diagnosing How AI Agents Consume Conflicting Memory

The Compliance Trap Diagnosing How AI Agents Consume Conflicting Memory

Agentic-DPO: From Imitation to Agentic Policy Optimization on Expert Trajectories

Agentic-DPO: From Imitation to Agentic Policy Optimization on Expert Trajectories

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds

Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds