  This paper describes the inference system of FZI-WIM at the SemEval-2024 Task
2: Safe Biomedical Natural Language Inference for Clinical Trials. Our system
utilizes the chain of thought (CoT) paradigm to tackle this complex reasoning
problem and further improves the CoT performance with self-consistency. Instead
of greedy decoding, we sample multiple reasoning chains with the same prompt
and make the final verification with majority voting. The self-consistent CoT
system achieves a baseline F1 score of 0.80 (1st), faithfulness score of 0.90
(3rd), and consistency score of 0.73 (12th). We release the code and data
publicly https://github.com/jens5588/FZI-WIM-NLI4CT.
