3 papers
cs.AI2026
EntroCoT: Enhancing Chain-of-Thought via Adaptive Entropy-Guided Segmentation
Zihang Li, Yuhang Wang, Yikun Zong +6
Chain-of-Thought (CoT) prompting has significantly enhanced the mathematical reasoning capabilities of Large Language Models. We find existing fine-tuning datasets frequently suffe…
cs.CL2025
TextBandit: Evaluating Probabilistic Reasoning in LLMs Through Language-Only Decision Tasks
Jimin Lim, Arjun Damerla, Arthur Jiang +1
Large language models (LLMs) have shown to be increasingly capable of performing reasoning tasks, but their ability to make sequential decisions under uncertainty only using natura…
cs.AI2025
Enabling AI Scientists to Recognize Innovation: A Domain-Agnostic Algorithm for Assessing Novelty
Yao Wang, Mingxuan Cui, Arthur Jiang +1
In the pursuit of Artificial General Intelligence (AGI), automating the generation and evaluation of novel research ideas is a key challenge in AI-driven scientific discovery. This…