EVMbench Benchmarks Detect Patch And Exploit Agent Workflows
EVMbench evaluates agent smart-contract security across detection, patching with tests, and exploit attempts in a sandboxed EVM.
EVMbench evaluates agent smart-contract security across detection, patching with tests, and exploit attempts in a sandboxed EVM.
SPIRIT uses deep perception uncertainty to gate shared autonomy, switching between semi-autonomous manipulation and haptic teleoperation.
How to reduce anthropomorphism, overconfidence, and hallucinations by structuring work as claim-evidence-verification checklists.
How LegalBench evaluates legal LLM reasoning beyond accuracy, emphasizing justification and auditability through structured argumentation and governance.
Logi-PAR (arXiv:2603.05184v1) integrates neural-guided differentiable rules into clinical PAR, enabling rule traces and counterfactual interventions.
A practical look at memory admission control for LLM agents, reducing long-term memory pollution while improving auditability and metrics.
In multimodal clinical reasoning, reported gains don’t guarantee safety; prioritize controlled evaluation, grounding, and auditable failure modes.
PDF-to-Excel results vary by upload limits and text vs visual parsing. Use structure metrics and fixed schemas for fair evaluation.
SOLID proposes mask-conditioned diffusion to learn/evaluate spatiotemporal fields from sparse moving sensors without dense ground truth, emphasizing calibrated uncertainty.
How web search and reasoning modes trade off accuracy, reproducibility, and latency—plus a simple test procedure to verify results yourself.
arXiv:2603.05414 splits AI introspection into probability-matching from prompt anomalies and direct access, cautioning against self-report in safety evals.
A curated link roundup from recently collected official updates and tech news.
Cryo-SWAN is a voxel density-map VAE, reporting consistent reconstruction-quality gains across ModelNet40, BuildingNet, and ProteinNet3D.
If/Then guide to AI coding quota marketplaces: structure roles, avoid key-transfer violations, and add SSDF-style verification.
For long policy reports, context and upload limits push chunked workflows that separate evidence retrieval from drafting, improving traceability and quality.
A shift from IDE plugins to terminal-native CLI coding agents, highlighting AGENTS.md and context pipelines that shape reliability and verification loops.
Study compares six post-training 2-bit methods on a Polish 11B LLM, highlighting gaps between benchmarks and generation stability.
Why single success rates fail for long-running agents, and how to measure goal drift, consistency, and governance stability in HAT.
arXiv:2603.04407v1 reports EM can be semantically contained: near 0% without triggers, but 12.2–22.8% with them.
Interpret continual learning forgetting via structural collapse and loss of plasticity, monitoring effective rank to catch early warning signals.
VANGUARD estimates GSD from monocular UAV video using small vehicles as anchors to recover metric scale without GPS or telemetry.
AgentSelect defines narrative-query to end-to-end agent configuration recommendation, proposing a benchmark with queries, agents, and interactions.
CoT perturbations can sharply reduce accuracy. Unit conversion remains hard at scale; isolate checks and use self-consistency.
Retiring legacy ChatGPT models may shift tone, refusals, and creativity, reshaping the balance between expression and safety guardrails.