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 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.
CommunityMar 8, 20262026-03-084 minVerified
When 4-Bit Quantization Beats FP16 Perplexity
Explain why 4-bit quantized models can show lower PPL than FP16, and outline a reproducible evaluation protocol.
CommunityMar 8, 20262026-03-084 minVerified
Why AI Talk Runs Long While Drinking
How acute alcohol use can weaken response inhibition and make AI talk too long, plus simple rules to keep rapport in social settings.
CommunityMar 8, 20262026-03-085 minVerified
Why Custom Instructions Personas Drift Under Hierarchy
Model Spec’s chain of command can override custom instructions, causing persona and reasoning drift. Design priorities, exceptions, and fallbacks to improve reproducibility.
CommunityMar 7, 20262026-03-074 minVerified
CAPTCHA Security Friction Tradeoffs In Real User Flows
Real-user data shows CAPTCHA time varies by context, while ML and relay attacks raise friction without guaranteed security gains.
SourceMar 7, 20262026-03-073 minVerified
Evaluating Zero-Shot MLLMs for Reliable Video Anomaly Alerts
Assesses zero-shot MLLMs for video anomaly detection, focusing on false alarms/misses, prompt specificity, 1–3s clips, and PR/F1 evaluation.
SourceMar 7, 20262026-03-074 minVerified
Gating Robot Autonomy Using Deep Perception Uncertainty Signals
SPIRIT uses deep perception uncertainty to gate shared autonomy, switching between semi-autonomous manipulation and haptic teleoperation.
CommunityMar 7, 20262026-03-074 minVerified
Designing Language for LLM Expectations and Verification
How to reduce anthropomorphism, overconfidence, and hallucinations by structuring work as claim-evidence-verification checklists.
SourceMar 7, 20262026-03-074 minVerified
LegalBench And Auditable Argumentation For Legal LLMs
How LegalBench evaluates legal LLM reasoning beyond accuracy, emphasizing justification and auditability through structured argumentation and governance.
SourceMar 7, 20262026-03-074 minVerified
Logi-PAR Adds Differentiable Rules to Clinical Activity Recognition
Logi-PAR (arXiv:2603.05184v1) integrates neural-guided differentiable rules into clinical PAR, enabling rule traces and counterfactual interventions.
SourceMar 7, 20262026-03-074 minVerified
Memory Admission Control for Reliable LLM Agents
A practical look at memory admission control for LLM agents, reducing long-term memory pollution while improving auditability and metrics.
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.
CommunityMar 7, 20262026-03-074 minVerified
Why PDF-to-Excel Rankings Flip Across Input Methods
PDF-to-Excel results vary by upload limits and text vs visual parsing. Use structure metrics and fixed schemas for fair evaluation.
CommunityMar 7, 20262026-03-075 minVerified
Tradeoffs Between Web Search and Reasoning Modes
How web search and reasoning modes trade off accuracy, reproducibility, and latency—plus a simple test procedure to verify results yourself.
CommunityMar 6, 20262026-03-065 minVerified
Designing Long-Form LLM Workflows Beyond Large Context Windows
For long policy reports, context and upload limits push chunked workflows that separate evidence retrieval from drafting, improving traceability and quality.
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
Measuring Goal Drift in Long-Running AI Agents
Why single success rates fail for long-running agents, and how to measure goal drift, consistency, and governance stability in HAT.
SourceMar 6, 20262026-03-063 minVerified
Semantic Triggers Reveal Emergent Misalignment Under Containment
arXiv:2603.04407v1 reports EM can be semantically contained: near 0% without triggers, but 12.2–22.8% with them.
SourceMar 6, 20262026-03-064 minVerified
Tracking Continual Learning Collapse With Effective Rank Metrics
Interpret continual learning forgetting via structural collapse and loss of plasticity, monitoring effective rank to catch early warning signals.
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.
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.
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.