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.
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.
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.
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
How Conversational AI Design Shapes Intimacy And Trust
Examines how warmth, memory, and consistency in conversational AI affect intimacy, trust, and safety evaluation criteria.