SourceMar 5, 20262026-03-054 minVerified
Consensus-Anchored Diffusion for Uncertain 3D Lesion Segmentation
Examines multi-rater 3D lesion segmentation, limits of vanilla diffusion, and VDD anchored to consensus priors improving GED/CI.
CommunityMar 5, 20262026-03-055 minVerified
Difficulty Illusions In LLMs And Evaluation Design
How LLMs create difficulty illusions, and how to design evaluation gates with scenarios, protocols, and multi-metric reporting.
SourceMar 5, 20262026-03-054 minVerified
GIPO Reuses Off-Policy Data With Gaussian Trust Weighting
GIPO targets scarce, stale interaction data by replacing hard importance-ratio clipping with log-ratio Gaussian trust weights for stable reuse.
SourceMar 5, 20262026-03-054 minVerified
Governance For Reliable Agentic AI In WebGIS Development
Reframes agentic AI failures as governance issues, proposing dual-helix governance with a Knowledge/Behavior/Skills architecture.
SourceMar 5, 20262026-03-055 minVerified
LLM-Guided Belief Shaping for Partially Observable TAMP
How LLM signals can shape belief in partially observable TAMP, and why calibration, uncertainty, and safety filters matter for reliability.
CommunityMar 5, 20262026-03-054 minVerified
Logging And Continuous Evaluation For Research Agent Loops
How to use LLM agents for research formalization with guardrails: log everything, run continuous evaluation, and score tool selection and argument precision.
SourceMar 5, 20262026-03-054 minVerified
Managerial AI Advice Under Ambiguity and Sycophancy Risks
How ambiguity detection, clarification, and sycophancy control shape managerial AI advice quality, risk, and evaluation metrics.
SourceMar 5, 20262026-03-054 minVerified
MASS Enables Test-Time Self-Update Through Synthetic Data
MASS trains LLMs to synthesize per-problem data and self-update at test time, raising auditability, integrity, and reproducibility needs.
CommunityMar 5, 20262026-03-054 minVerified
Optimize AI Subscriptions: Limits, Terms, And Uptime Risks
Optimize AI subscriptions by checking usage limits, terms restrictions, and uptime transparency to minimize workflow disruption risk.
SourceMar 5, 20262026-03-054 minVerified
Personalized Safety Constraints in LLM Conversational Recommendation Systems
LLM-based conversational recommenders may infer sensitive triggers from dialogue, risking personalized safety violations unless constraints are enforced.
SourceMar 5, 20262026-03-054 minVerified
PlugMem Plugin Memory Cuts Context Bloat, Adds Risk
PlugMem externalizes long-term memory as a plug-in to reduce retrieval bloat and relevance loss, while highlighting persistent injection risks.
CommunityMar 5, 20262026-03-054 minVerified
Reproducible Visual Puzzle Evaluation Without Tool Leakage
Tool-free visual puzzle claims depend on fixed constraints: lock tools, image preprocessing, prompts, and logs for reproducibility.
CommunityMar 5, 20262026-03-054 minVerified
Understanding GPU Power And Utilization Sampling Windows
NVML, DCGM, and nvidia-smi report window-averaged power and utilization. Learn how sampling affects LLM inference graphs.
CommunityMar 5, 20262026-03-055 minVerified
Where AI Replaces Effort: Limits, Evidence, And Regulation
AI “effort replacement” spans cognitive automation to body/brain augmentation. Check RCT evidence, effect sizes, and regulatory safety.
CommunityMar 4, 20262026-03-044 minVerified
AI Automation Shocks Jobs, Energy Costs, Transfer Feasibility
As AI displaces jobs, energy costs and value capture can constrain cash transfers like UBI, complicating inflation and fiscal assumptions.
NewsMar 4, 20262026-03-044 minVerified
Battlefield Planning AI Raises Control, Audit, and Accountability Questions
As AI enters battlefield planning, HITL, TEVV validation, auditability, and accountability design matter more than raw performance.
CommunityMar 4, 20262026-03-045 minVerified
Bridging the Gap Between AI Performance and Productivity
Why AI performance gains don’t instantly raise productivity, and how to close the lag using task scores and NIST AI RMF.
CommunityMar 4, 20262026-03-044 minVerified
How Conversational AI Design Shapes Intimacy And Trust
Examines how warmth, memory, and consistency in conversational AI affect intimacy, trust, and safety evaluation criteria.
CommunityMar 4, 20262026-03-044 minVerified
Evaluating LLM Operational Reliability Beyond Benchmark Scores
How to assess LLM operational reliability for production: incident write-ups, RCA transparency, tool-use controls, retries, and SLOs.
CommunityMar 4, 20262026-03-044 minVerified
Evaluating LLM Self-Consistency Beyond Humanlike Mimicry
Separate humanlike mimicry from self-consistency in LLMs, and evaluate long-term memory and persona drift with benchmarks and protocols.
TrustedMar 4, 20262026-03-045 minVerified
From Answers to Canvas: Work Happens Inside Search
Search AI is shifting from answer delivery to a canvas workspace, keeping drafts and interactive tool-building inside search.
CommunityMar 4, 20262026-03-044 minVerified
Guide-Driven Conversational Learning Workflow With Micro-Quizzes
A guide-driven dialogue study loop: paste fragments, then run understanding checks, structured explanations, and tailored quizzes.
CommunityMar 4, 20262026-03-044 minVerified
When Image Preprocessing Breaks Multimodal Geolocation Reliability
Resizing, tiling, and tokenization can shift what models see, turning map/geography misreads into repeatable product risk.
CommunityMar 4, 20262026-03-044 minVerified
Make AGI Year Predictions Testable With Clear Scoring
How to turn AGI arrival-year claims into testable forecasts by specifying definitions, metrics, probabilities, and scoring rules.