RoundupMar 9, 20262026-03-093 min
AI Resource Roundup (24h) - 2026-03-09
A curated link roundup from recently collected official updates and tech news.
SourceMar 9, 20262026-03-093 minVerified
Prompt Group Training For Robust Text Guided Segmentation
Summarizes prompt group-aware training that aligns predictions across equivalent prompts, reducing variance and improving average zero-shot Dice.
CommunityMar 9, 20262026-03-094 minVerified
When Long-Term Memory Hurts New Task Learning
Long-term memory can boost performance yet cause negative forward transfer as tasks evolve. Design deletion, summarization, and replacement policies.
CommunityMar 8, 20262026-03-085 minVerified
Combining LLM Agents With Science Models for Reliable Loops
A practical pattern: LLMs handle planning and interpretation, while science models provide constraint-based scoring and stopping gates.
SourceMar 8, 20262026-03-085 minVerified
Estimating Rankings via Pairwise LLM Comparisons and MCMC
Instead of long one-shot rankings, use pairwise LLM judgments and Bradley–Terry with Bayesian MCMC to estimate ranks and uncertainty.
SourceMar 8, 20262026-03-084 minVerified
Learnable Pixel Weights For Controllable Medical Diffusion Pipelines
Summarizes LAW: learnable per-pixel loss reweighting to address spatial imbalance in medical diffusion and segmentation, improving FID.
SourceMar 7, 20262026-03-074 minVerified
Multimodal Clinical Reasoning Needs Controlled Evaluation, Not Scores
In multimodal clinical reasoning, reported gains don’t guarantee safety; prioritize controlled evaluation, grounding, and auditable failure modes.
SourceMar 6, 20262026-03-063 minVerified
Cryo-SWAN Brings Voxel Density Maps Into 3D VAE
Cryo-SWAN is a voxel density-map VAE, reporting consistent reconstruction-quality gains across ModelNet40, BuildingNet, and ProteinNet3D.
SourceMar 6, 20262026-03-064 minVerified
Designing Terminal-Native Coding Agents With Context Pipelines
A shift from IDE plugins to terminal-native CLI coding agents, highlighting AGENTS.md and context pipelines that shape reliability and verification loops.
SourceMar 6, 20262026-03-064 minVerified
Extreme 2-Bit Quantization Can Break LLM Generation
Study compares six post-training 2-bit methods on a Polish 11B LLM, highlighting gaps between benchmarks and generation stability.
SourceMar 6, 20262026-03-065 minVerified
Vehicle Anchors Recover Metric Scale in GPS-Denied UAV Video
VANGUARD estimates GSD from monocular UAV video using small vehicles as anchors to recover metric scale without GPS or telemetry.
SourceMar 5, 20262026-03-054 minVerified
Chain-of-Thought Perturbations Reveal Hidden Fragility in Reasoning
CoT perturbations can sharply reduce accuracy. Unit conversion remains hard at scale; isolate checks and use self-consistency.
CommunityMar 5, 20262026-03-055 minVerified
ChatGPT Model Retirement Reshapes Tone, Safety, Creativity Balance
Retiring legacy ChatGPT models may shift tone, refusals, and creativity, reshaping the balance between expression and safety guardrails.
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, 20262026-03-055 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.
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.
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 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.
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 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.