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Users of generative AI struggle to accurately assess their own competence

New research provides evidence that using artificial intelligence to complete tasks can improve a person’s performance while ...
IEEE

Getting LLM to think and act like a human being: logical path reasoning and replanning

Abstract: Large Language Models (LLMs) have significant reasoning capabilities and can act as agents interacting with the real world. However, they are often segmented and, unlike humans, lack ...
GitHub

Code for Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models

In the folder datasets, we have placed all the datasets required for the experiment. In each dataset folder, the json folder places the dataset and the npy folder places the true answer in .npy file ...
IEEE

MJR: Multi-Head Joint Reasoning on Language Models for Question Answering

Abstract: Language Models (LMs) have achieved impressive success in various question answering (QA) tasks but have shown limited performance on structured reasoning. Recent research suggests that ...