TRACS-LLM: LLM-based traffic accident criminal sentencing prediction focusing on imprisonment, probation, and fines
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TRACS-LLM: LLM-based traffic accident criminal sentencing prediction focusing on imprisonment, probation, and fines
ReferencesShowing 10 of 27 papersLearning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation Analyzing vehicle–pedestrian interactions: Combining data cube structure and predictive collision risk estimation model PILOT: Legal Case Outcome Prediction with Case Law Analysis of Vehicle–Pedestrian Interactive Behaviors near Unsignalized Crosswalk Bidirectional recurrent neural networks Impact of roadside features on the frequency and severity of run-off-roadway accidents: an empirical analysis A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey Fast WordPiece Tokenization
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