Large Language Models (LLMs) have exhibited impressive generation capabilities, but they
suffer from hallucinations when solely relying on their internal knowledge, especially when …

Large Language Models (LLMs), acting as a powerful reasoner and generator, exhibit
extraordinary performance across various natural language tasks, such as question …

Large language models (LLMs) are capable of answering knowledge-intensive complex
questions with chain-of-thought (CoT) reasoning. However, they tend to generate factually …

Post-COVID conditions (PCC) emerged during the pandemic, prompting a rise in the use of
Digital Health Technologies (DHTs) to manage lockdowns and hospital overcrowding. Real …

We focus on open‐domain question‐answering tasks that involve a chain‐of‐reasoning,
which are primarily implemented using large language models. With an emphasis on cost …

Open-domain complex question answering often breaks down a multi-hop question into
single-hop questions, leveraging external knowledge for solutions. Current practices show a …