CRUXEval (Code Reasoning, Understanding, and eXecution Evaluation) is a benchmark of 800 Python functions and input-output pairs. The benchmark consists of two tasks, CRUXEval-I (input prediction) and ...
Abstract: Machine learning predictive models are increasingly used to analyse social media data. However, they often fall short in transparency and interpretability. This paper shows how Maximum ...
Multimodal chain-of-thought (MCoT) reasoning has garnered attention for its ability to enhance step-by-step reasoning in multimodal contexts, particularly within multimodal large language models ...
Recent advances in Large Language Models (LLMs) have showcased impressive reasoning abilities in structured tasks like mathematics and programming, largely driven by Reinforcement Learning with ...
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Abstract: Multimodal question answering tasks can be used as proxy tasks to study systems that can perceive and reason about the world. Answering questions about different types of input modalities ...
Background Diagnostic errors have been attributed to reasoning flaws caused by cognitive biases. While experiments have shown bias to cause errors, physicians of similar expertise differed in ...