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Found 4 papers, 1 papers with code
LLaMandement: Large Language Models for Summarization of French Legislative Proposals
This report introduces LLaMandement, a state-of-the-art Large Language Model, fine-tuned by the French government and designed to enhance the efficiency and efficacy of processing parliamentary sessions (including the production of bench memoranda and documents required for interministerial meetings) by generating neutral summaries of legislative proposals.
Assessing Cross-dataset Generalization of Pedestrian Crossing Predictors
Pedestrian crossing prediction has been a topic of active research, resulting in many new algorithmic solutions.
TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction
In this paper, we address pedestrian crossing prediction in urban traffic environments by linking the dynamics of a pedestrian's skeleton to a binary crossing intention.
Asymmetrical Bi-RNN for pedestrian trajectory encoding
Pedestrian motion behavior involves a combination of individual goals and social interactions with other agents.
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