1 citations · 1 across the 3 of their papers we have counts for
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TableGPT-R1: Advancing Tabular Reasoning Through Reinforcement Learning
Saisai Yang, Qingyi Huang, Jing Yuan +13
Tabular data serves as the backbone of modern data analysis and scientific research. While Large Language Models (LLMs) fine-tuned via Supervised Fine-Tuning (SFT) have significant…
Concept-based Rubrics Improve LLM Formative Assessment and Data Synthesis
Yuchen Wei, Dennis Pearl, Matthew Beckman +1
Formative assessment in STEM topics aims to promote student learning by identifying students' current understanding, thus targeting how to promote further learning. Previous studie…
A phase transition in sampling from Restricted Boltzmann Machines
Youngwoo Kwon, Qian Qin, Guanyang Wang +1
Restricted Boltzmann Machines are a class of undirected graphical models that play a key role in deep learning and unsupervised learning. In this study, we prove a phase transition…