SourceMar 27, 20262026-03-274 minVerified
Memory and Randomness Bottlenecks in Probabilistic Trustworthy AI
A unified view of probabilistic trustworthy AI: performance bottlenecks may lie in memory and random data movement, not just compute.
SourceMar 27, 20262026-03-275 minVerified
Why Post-Training Collapses Multiple Valid Answers Into One
Examines how LLM post-training collapses multiple valid answers into one and why distributional evaluation matters.
SourceMar 27, 20262026-03-275 minVerified
Template-Driven ML Development for Ad Model Ecosystems
How template-driven ML development can reduce operational complexity, cost, and deployment friction in ad recommendation ecosystems.
SourceMar 27, 20262026-03-274 minVerified
What Infant Vision Learning Suggests for AI Systems
How infant low-data visual learning links concepts, causality, and prediction to reshape AI vision and robotics design.
SourceMar 27, 20262026-03-275 minVerified
Wireless World Models for AI-Native 6G Networks
How wireless world models combine 3D geometry and wave propagation to improve real-world generalization in AI-native 6G.
SourceMar 26, 20262026-03-264 minVerified
Execution Provenance Defines Real Agent Security Boundaries
Agent security depends less on benchmark scores than on tracing execution provenance across generation, handoffs, and permissions.
SourceMar 26, 20262026-03-263 minVerified
Rethinking LLM Agents as Adaptive Computation Graphs
View LLM agents as runtime-adaptive computation graphs to optimize accuracy, cost, latency, debugging, and control.
SourceMar 25, 20262026-03-254 minVerified
Minibal Reframes Game AI Around Balanced Human Play
Minibal asks whether game AI should optimize not for dominance, but for balanced, engaging play against humans.
SourceMar 25, 20262026-03-254 minVerified
Separating Instructions and Data at the LLM Interface
A look at markup proposals that separate instructions from data in LLM inputs and why structured interfaces matter.
SourceMar 20, 20262026-03-205 minVerified
Judicial AI Depends on Human Algorithm Interaction Design
In courts, AI outcomes hinge less on model accuracy than on judge uptake, override patterns, accountability, and TEVV.
SourceMar 20, 20262026-03-203 minVerified
Medical AI Robotics Needs Governance Before Performance Claims
In medical AI robotics, governance, validation, and monitoring matter more than performance demos alone.
SourceMar 20, 20262026-03-204 minVerified
How Segmentation Signals Drop And Recover In MLLMs
Analyzes how segmentation signals in MLLMs weaken in the adapter and recover through LLM attention across the pipeline.
SourceMar 18, 20262026-03-185 minVerified
Agent Governance Shifts From Rules To Execution Paths
Why agent governance is moving from static rules to execution paths, runtime logs, and timing-aware intervention.
CommunityMar 18, 20262026-03-185 minVerified
AI Exposure in Clerical Work and Task Redesign
Examines AI exposure in clerical work, automation pressure, and why task redesign and human accountability matter.
SourceMar 18, 20262026-03-184 minVerified
Data-Local LLM Guidance for Private Neural Search
How LLMs can guide neural architecture search using only trial summaries while sensitive time-series data stays on-premises.
SourceMar 14, 20262026-03-144 minVerified
Educational AI Depends More on Design Than Models
A paper argues educational AI performance may depend less on model size and more on roles, skills, tools, runtime, and educator expertise.
SourceMar 14, 20262026-03-144 minVerified
When Harmless Tasks Process Harmful User Content
Examines how LLMs should handle harmful user-provided text in harmless tasks like summarization, translation, and classification.
SourceMar 13, 20262026-03-134 minVerified
ARROW Reframes Memory Efficient Continual Reinforcement Learning
ARROW extends DreamerV3 with dual buffers and distribution-matching replay to reduce forgetting under memory limits.
SourceMar 13, 20262026-03-135 minVerified
Dynamic Coordination in Multi-Agent LLM and Robotics Systems
A minimal theory of multi-agent coordination through environmental memory, incentive fields, and feedback loops.
SourceMar 13, 20262026-03-134 minVerified
Evaluating LLM-Based Mandarin-to-English Translation with Automated Metrics
Examines how far automated evaluation can match human judgment in Mandarin-to-English LLM translation and where bias may distort results.
SourceMar 13, 20262026-03-135 minVerified
Single RGB-D Hand Retargeting for Robot Teleoperation
A low-cost teleoperation approach using a single RGB-D camera for hand tracking, 3D reconstruction, and robot retargeting.
SourceMar 13, 20262026-03-135 minVerified
Stable Dependence Estimation for Autoencoder Feature Analysis
A new estimator for stable dependence analysis across autoencoder inputs, latents, and reconstructions, beyond mutual information pitfalls.
SourceMar 13, 20262026-03-135 minVerified
Stable Spike for Low-Latency SNN Consistency Optimization
A concise look at Stable Spike, dual consistency optimization, and bitwise AND for more stable low-latency SNN inference.
SourceMar 13, 20262026-03-134 minVerified
STAIRS-Former for Variable-Agent Offline Multi-Task MARL Generalization
A transformer-based offline multi-task MARL approach targeting variable agent counts and generalization to unseen scenarios.