SourceJul 9, 20262026-07-095 minVerified
Injecting Process Semantics Into Time Series Forecasting
Using LLMs as semantic injectors, this approach adapts time series models with process documents and metadata.
SourceJul 9, 20262026-07-094 minVerified
Measuring How Hallucinations Distort Downstream Vision-Language Reasoning
HIVE evaluates how vision-language hallucinations propagate into later reasoning and distort downstream predictions.
SourceJul 9, 20262026-07-094 minVerified
Reusable Skills for Better AI Data Science Workflows
Examines whether reusable skill files improve quality, auditability, and operations in repetitive AI data science tasks.
CommunityJul 9, 20262026-07-094 minVerified
What Really Matters in Backend Code Evaluation
Why backend evaluation should prioritize SSOT consistency and catching critical PR-stage defects over raw code generation.
CommunityJul 8, 20262026-07-084 minVerified
AI Conversation and Gaming Compete for User Time
Examines how conversational AI and games compete for attention, highlighting different user needs and social dynamics.
SourceJul 8, 20262026-07-084 minVerified
Can Model Merging Beat Averaging in DiLoCo Aggregation
Examines whether model merging can outperform averaging in DiLoCo aggregation while balancing communication costs and final performance.
SourceJul 8, 20262026-07-084 minVerified
When Coding Agents Speed Up but Learning Slows
AI coding agents may raise productivity while reducing developer understanding, retention, and long-term problem-solving capacity.
SourceJul 8, 20262026-07-085 minVerified
Control AI Data Risks by Storage Path
How to separate session, RAG, and model parameter paths in generative AI to design confidentiality, deletion, and audit controls.
SourceJul 8, 20262026-07-084 minVerified
FreqDepthKV for Robust KV Cache Compression in Long Contexts
A concise look at FreqDepthKV, a method targeting KV cache bottlenecks in long-context LLM inference.
SourceJul 8, 20262026-07-085 minVerified
How Frontier AI Exposure Diverges Across National Economies
Using 141-country employment data, this piece explains why frontier AI exposure varies by job mix, productivity potential, and labor risk.
SourceJul 8, 20262026-07-084 minVerified
LLMs for SSH Research With Multilingual Knowledge Graphs
Applying LLMs to SSH research requires checking multilingual corpora, knowledge graphs, evaluation, bias, and governance together.
SourceJul 8, 20262026-07-084 minVerified
Radiology AI for Draft Reporting in Clinical Workflow
Examines Harrison.Rad 1.5 as a radiology draft-reporting model, focusing on workflow value, supervision, and deployment risks.
SourceJul 8, 20262026-07-084 minVerified
Why Tool-Calling Agent Security Is a Structural Problem
Why text-driven tool calls make AI agent delegation a structural security issue, backed by refusal-rate evidence.
SourceJul 7, 20262026-07-074 minVerified
Designing Organizational Memory for Agentic Process Execution
Agent bottlenecks are not just reasoning. Separate organizational knowledge into memory layers for reliability and control.
SourceJul 7, 20262026-07-074 minVerified
Finding First Errors in Small Model Physics Reasoning
A look at training small models to find first reasoning errors, use structured feedback, and revise answers in physics tasks.
SourceJul 7, 20262026-07-073 minVerified
Hierarchical Memory and Agentic Reasoning for Long Videos
Why long-video AI struggles with narrative and causal links, and how hierarchical memory and agentic reasoning help.
CommunityJul 7, 20262026-07-074 minVerified
Why LLM Automation Does Not Lower Real-World Costs
Explains why better LLM performance and office automation do not directly reduce electricity, rent, or food costs.
SourceJul 7, 20262026-07-074 minVerified
Rethinking Agent Memory as Executable World State
Why agent memory may need to shift from text logs to object-centric executable environment models for long tasks.
SourceJul 7, 20262026-07-074 minVerified
When Safety Alignment Over-Refuses Cyber Defense Requests
Examines how LLM safety alignment can over-refuse legitimate cyber defense requests and reduce utility.
SourceJul 7, 20262026-07-074 minVerified
Unified Diffusion Faces Label Conflicts in Medical Segmentation
A look at SNR-adaptive unified diffusion for medical segmentation, focusing on label conflicts over headline gains.
SourceJul 7, 20262026-07-074 minVerified
Utility Design for Stable Cooperation in Social Dilemmas
A MARL study on stabilizing cooperation in sequential social dilemmas through a utility function combining altruism and fairness.
SourceJul 6, 20262026-07-064 minVerified
AI Data Centers Expand Into Power And Cooling
AI data center competition is expanding beyond chips to power reliability, cooling design, and water use.
SourceJul 6, 20262026-07-063 minVerified
AI Reliability Talent Becomes the Real Deployment Bottleneck
Beyond GPUs, the urgent task is building AI reliability talent and TEVV-based operational governance.
CommunityJul 6, 20262026-07-064 minVerified
AI Search Speed Gains and Verification Tradeoffs
AI search can speed up answers, but citations, data, and technical details still require direct source verification.