SourceMar 11, 20262026-03-114 minVerified
Private Dataset Condensation for Classical Clinical Models
arXiv:2603.09356 discusses dataset condensation for medical data, extending to trees and Cox via DP and zero-order optimization.
CommunityMar 11, 20262026-03-114 minVerified
Self-Amplifying R&D Loops And Alignment-Faking Risk Signals
As AI-driven R&D loops accelerate, alignment-faking signals (12%) raise operational risk. Lock in TEVV, independent review, and monitoring.
SourceMar 11, 20262026-03-114 minVerified
Testing Intersectional SDoH Bias in Clinical LLM Recommendations
Clinical LLM recommendations can shift with intersecting SDoH (gender, insurance, housing). Test cross-profiles and measure over-refusal before deployment.
SourceMar 11, 20262026-03-115 minVerified
Verifier Rewards With Executable Checkers For Multi-Turn Agents
Using executable per-instance checkers to provide verifiable rewards for multi-turn tool agents, reducing labeling while surfacing risks.
CommunityMar 11, 20262026-03-115 minVerified
When Prompts Shrink, Video Creation Becomes Pipeline Operations
As prompts shrink, video work shifts from generating to operating: lock identity with references, storyboard panel prompts, set multimodal priority rules, and track rights risk.
RoundupMar 10, 20262026-03-103 min
AI Resource Roundup (24h) - 2026-03-10
A curated link roundup from recently collected official updates and tech news.
SourceMar 10, 20262026-03-104 minVerified
Bridging Pathology AI Benchmarks and Real-World Clinical Deployment
Why pathology AI lags after strong benchmarks: external validation, drift/OOD monitoring, workflow fit, and auditable logging.
CommunityMar 10, 20262026-03-104 minVerified
Distinguishing Logprobs From Self-Reported Confidence in Prompts
Explains why token logprobs differ from natural-language confidence, and how to test multi-candidate prompts with seeds and evals.
SourceMar 10, 20262026-03-104 minVerified
Grounding Self-Driving Explanations With Retrieval-Augmented Demonstrations
RAG-Driver grounds driving explanations with retrieved expert demonstrations via RA-ICL, but evaluation still relies on BLEU, METEOR, and CIDEr.
SourceMar 10, 20262026-03-104 minVerified
Using LIM Energy Lower Bounds in System Design
Discusses whether LIM learning-energy lower bounds should be design KPIs or only benchmarks, given ADC/DAC and calibration overheads.
CommunityMar 10, 20262026-03-104 minVerified
Designing Reproducible Rubrics for LLM Code Integration Evaluations
Move beyond context/output limits: evaluate LLM code integration with task decomposition, tool parity, and reproducible build/test rubrics.
SourceMar 10, 20262026-03-104 minVerified
RM-R1 Reward Models That Reason Before Scoring
RM-R1 proposes reward models that reason before scoring, reporting up to 4.9% gains on public RM benchmarks and highlighting safety evaluation gaps.
TrustedMar 10, 20262026-03-104 minVerified
Ulysses Sequence Parallelism for Long Context Training Efficiency
Ulysses splits sequences across GPUs and exchanges K/V via all-to-all to reduce long-context attention bottlenecks and track throughput.
CommunityMar 9, 20262026-03-094 minVerified
Copilot Cowork Shifts AI From Prompts To Workflows
Microsoft introduces Copilot Cowork as a research preview, focusing on long-running, multi-step work and human-in-the-loop execution.
SourceMar 9, 20262026-03-094 minVerified
Dynamic Chunking for Efficient Diffusion Transformer Inference
Overview of dynamic chunking for Diffusion Transformers, adapting compute by timestep and spatial detail to improve the cost-quality tradeoff.
SourceMar 9, 20262026-03-094 minVerified
Predictive Coding Networks: Fixed Points, Inference, Backprop Links
Overview of PCN: iterative inference, fixed-point convergence (dv≈0), links to backprop equivalence/approximation, and compute bottlenecks.
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.
SourceMar 9, 20262026-03-094 minVerified
Treat Label Disagreement As A Product Requirement
Review across seven venues (2020–2025) argues consensus labeling can erase sociotechnical signals; proposes rules for distribution labels.
RoundupMar 8, 20262026-03-083 min
AI Resource Roundup (24h) - 2026-03-08
A curated link roundup from recently collected official updates and tech news.
CommunityMar 8, 20262026-03-084 minVerified
Beyond Benchmark Scores: Reproducible, Multi-Metric Model Evaluation
Why tiny benchmark gaps mislead: evaluation settings, reproducible logs, and multi-metric, roadmap-driven model selection.
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, 20262026-03-084 minVerified
Detecting UI Action Mismatches Beyond Schema Validation
Even schema-valid UI payloads can mislead via label-action mismatches and stealth bindings; add semantic alignment gates and anomaly detection.
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.