Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …

Abstract Chain-of-Thought (CoT) guides large language models (LLMs) to reason step-by-
step and can motivate their logical reasoning ability. While effective for logical tasks CoT is …

Reviewing the literature to understand relevant threads of past work is a critical part of
research and vehicle for learning. However, as the scientific literature grows the challenges …

Efficiently reviewing scholarly literature and synthesizing prior art are crucial for scientific
progress. Yet, the growing scale of publications and the burden of knowledge make …

Cross-domain analogical reasoning is a core creative ability that can be challenging for
humans. Recent work has shown some proofs-of-concept of Large language Models'(LLMs) …

Large language models (LLMs), such as ChatGPT and PaLM, are able to perform
sophisticated text comprehension and generation tasks with little or no training. Alongside …

In order to help scholars understand and follow a research topic, significant research has
been devoted to creating systems that help scholars discover relevant papers and authors …

The scientific ideation process often involves blending salient aspects of existing papers to
create new ideas. To see if large language models (LLMs) can assist this process, we …

Analogical reasoning is a fundamental cognitive ability of humans. However, current
language models (LMs) still struggle to achieve human-like performance in analogical …

This study aimed to explore students' perspectives on integrating artificial intelligence (AI)
into scientific collaboration, specifically on writing academic articles and creating scientific …