
AI agents are flooding public services with new requests
Researcher documents 'agentic flooding' across 84 cases in 11 jurisdictions as AI tools drive surging complaint volumes at public services worldwide.
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Researcher documents 'agentic flooding' across 84 cases in 11 jurisdictions as AI tools drive surging complaint volumes at public services worldwide.
Researchers propose ConvMem, a training-free framework treating LLMs as convolutional kernels for parallelizable long-context reasoning beyond fixed context windows.
Researchers introduce FOM-UL, a layer-selective machine unlearning framework that improves forgetting-utility trade-offs and resists knowledge recovery after quantization.
Researchers show via residualization that later layers of HuBERT and wav2vec 2.0 encode word identity and semantics independently of phonetic content.
Researchers trained multi-agent deep reinforcement learning UAV agents for autonomous wildfire monitoring, with converging policies tracking fire boundaries in simulation.
Theoretical work derives a general framework quantifying stability guarantees for averaging-based ensembles under arbitrary data perturbations via covariance operator norms.
A retrospective study found GPT-4 over-flagged emergency department revisit cases while an LLM knowledge-graph screener achieved 83-100% positive predictive value.
Research paper C* (arXiv:2504.02246) proposes unifying programming and formal verification in C, discussed on Hacker News.
ArXiv paper shows the trusting-trust compiler backdoor technique can compromise an entire Linux distribution via the strip utility.
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