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TR2MTL: LLM based framework for Metric Temporal Logic Formalization of
  Traffic Rules

TR2MTL: LLM based framework for Metric Temporal Logic Formalization of Traffic Rules

9 June 2024
Kumar Manas
Stefan Zwicklbauer
Adrian Paschke
ArXivPDFHTML

Papers citing "TR2MTL: LLM based framework for Metric Temporal Logic Formalization of Traffic Rules"

3 / 3 papers shown
Title
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
Kumar Manas
Christian Schlauch
Adrian Paschke
Christian Wirth
Nadja Klein
40
0
0
17 Apr 2025
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
240
2,479
0
06 Oct 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
358
8,495
0
28 Jan 2022
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