8 citations · 10 across the 4 of their papers we have counts for
4 papers
How Well Do LLMs Perform on the Simplest Long-Chain Reasoning Tasks: An Empirical Study on the Equivalence Class Problem
Chun Zheng, Lianlong Wu, Bingqian Li +2
Large Language Models (LLMs) have achieved great improvements in recent years. Nevertheless, it still remains unclear how good LLMs are for reasoning tasks, especially for long-cha…
CauSkelNet: Causal Representation Learning for Human Behaviour Analysis
Xingrui Gu, Chuyi Jiang, Erte Wang +5
Traditional machine learning methods for movement recognition often struggle with limited model interpretability and a lack of insight into human movement dynamics. This study intr…
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz +6
Learning agents that are not only capable of taking tests, but also innovating is becoming a hot topic in AI. One of the most promising paths towards this vision is multi-agent lea…
Data Science with Vadalog: Bridging Machine Learning and Reasoning
Luigi Bellomarini, Ruslan R. Fayzrakhmanov, Georg Gottlob +7
Following the recent successful examples of large technology companies, many modern enterprises seek to build knowledge graphs to provide a unified view of corporate knowledge and…