Scholarly peer review is a cornerstone of scientific advancement, but the system is under
strain due to increasing manuscript submissions and the labor-intensive nature of the …

Rationality is characterized by logical thinking and decision-making that align with evidence
and logical rules. This quality is essential for effective problem-solving, as it ensures that …

Large Language Models (LLMs) are increasingly employed for simulations, enabling
applications in role-playing agents and Computational Social Science (CSS). However, the …

Understanding biological processes, drug development, and biotechnological
advancements requires detailed analysis of protein structures and sequences, a task in …

Existing claim verification datasets often do not require systems to perform complex
reasoning or effectively interpret multimodal evidence. To address this, we introduce a new …

Traditional sociological research often relies on human participation, which, though
effective, is expensive, challenging to scale, and with ethical concerns. Recent …

Understanding the creation, evolution, and dissemination of scientific knowledge is crucial
for bridging diverse subject areas and addressing complex global challenges such as …

Learning to rank (LTR) is widely employed in web searches to prioritize pertinent webpages
from retrieved content based on input queries. However, traditional LTR models encounter …

Peer review, as a cornerstone of scientific research, ensures the integrity and quality of
scholarly work by providing authors with objective feedback for refinement. However, in the …

We argue that advancing LLM-based human simulation requires addressing both LLM's
inherent limitations and simulation framework design challenges. Recent studies have …