{"data":{"id":"46c82860-a317-45d1-b263-4307eed6d71c","title":"Large Language Model-Assisted Preparation of Transportation Management Plans: A Case Study with WisDOT WisTMP System","summary":"Researchers propose an LLM-assisted framework to automate content generation for Transportation Management Plans, using the WisDOT WisTMP system as the application context. They fine-tune multiple open-source LLMs at 7B/8B and 14B scales, deploy them locally for data security, and train on a dataset built by converting historical WisTMP PDFs into JSON question-answer pairs. Fine-tuning significantly improves standard text generation metrics, but models over-generate strategies and struggle with project-specific justifications and accurate cost estimates, and scaling from 7B/8B to 14B yields limited gains.","solution":"N/A -- no mitigation discussed in source.","labels":["research","industry"],"sourceUrl":"https://arxiv.org/abs/2610.10650v1","publishedAt":"2026-10-07T15:51:01.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["WisDOT WisTMP"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-10-07T15:51:01.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":null,"llmSpecific":true,"classifierConfidence":0.8,"researchCategory":"preprint","atlasIds":null}}