SourceMar 12, 20262026-03-124 minVerified
Learning Quantum Probes for End-to-End RF Sensing
Reframes RF channels as sensors and jointly learns quantum probes with models under 5 ms/sample and pipeline constraints.
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1221 articles · Page 21 / 51
SourceMar 12, 20262026-03-124 minVerified
Measuring LLM Gaps With LatAm Context QA Benchmarks
A LatAm-focused QA set (26k+) links Wikidata and Wikipedia to measure LLM gaps by country and cultural context.
CommunityMar 12, 20262026-03-124 minVerified
Rethinking Research Automation Forecasts Beyond Speed And Accuracy Metrics
Don’t equate tokens/sec or speedups with research automation; fix success, time budget, retries, and verification to forecast.
SourceMar 12, 20262026-03-123 minVerified
UniPINN Tackles Multifluid PINNs With Shared And Dynamic Learning
UniPINN targets three bottlenecks in multi-flow PINNs: shared vs specific features, negative transfer, and loss-scale imbalance.
RoundupMar 11, 20262026-03-112 min
AI Resource Roundup (24h) - 2026-03-11
A curated link roundup from recently collected official updates and tech news.
SourceMar 11, 20262026-03-114 minVerified
Executable Skills Library for Self-Improving RL Agents
Defines skills as executable function code and manages them online via create-run-update-on-fail-save-on-success loops.
SourceMar 11, 20262026-03-113 minVerified
FuzzingRL Finds VLM Failures via Reinforcement Fine-Tuning
FuzzingRL combines fuzzing and reinforcement fine-tuning to automatically generate questions that induce VLM failures and reveal weak spots.
SourceMar 11, 20262026-03-114 minVerified
LLM Orchestrates Superconducting Qubit Control And Measurement Experiments
Overview of an LLM framework that automates superconducting qubit control and measurement via schema-less tool generation, plus safety and logging needs.
SourceMar 11, 20262026-03-114 minVerified
Markov Risk Surfaces And RL Search With LLM QA
Guardian turns messy case docs into schema-aligned spatiotemporal states, builds Markov risk surfaces, plans with RL, then validates via LLM QA.
SourceMar 11, 20262026-03-114 minVerified
Measure Generative Search Visibility as Distributions, Not KPIs
Because citations can be non-deterministic, treat visibility as a sampled distribution and compare it statistically over time.
SourceMar 11, 20262026-03-114 minVerified
Multi-LLM Consensus Workflow for Missing Child Investigations
Guardian proposes a multi-LLM pipeline with a consensus engine for early missing-child searches, emphasizing auditable TEVV operations.
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.
SourceMar 11, 20262026-03-115 minVerified
Routing and Gating for Stable Online Continual Learning
In one-pass non-stationary streams, evaluate PEFT limits and use routing/gating plus stability budgets to reduce forgetting and latency.
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.
SourceMar 10, 20262026-03-104 minVerified
ABRA Learns Batch-Invariant Representations for Cell Painting Screens
ABRA applies adversarial learning to reduce batch effects in cell painting, balancing batch invariance with fine-grained class discriminability.
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.
SourceMar 10, 20262026-03-104 minVerified
Consensus Sampling Fails Without Verifiers For LLM Truthfulness
Without external verifiers, polling/majority-vote consensus over many samples can miss truth, even at 25× inference cost, and reinforce shared misconceptions.
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.