Chain of thoughtlessness: An analysis of cot in planning

K Stechly, K Valmeekam, S Kambhampati - arXiv preprint arXiv …, 2024 - arxiv.org
Large language model (LLM) performance on reasoning problems typically does not
generalize out of distribution. Previous work has claimed that this can be mitigated by …

Abstraction-of-Thought Makes Language Models Better Reasoners

R Hong, H Zhang, X Pan, D Yu, C Zhang - arXiv preprint arXiv:2406.12442, 2024 - arxiv.org
Abstract reasoning, the ability to reason from the abstract essence of a problem, serves as a
key to generalization in human reasoning. However, eliciting language models to perform …

Scaling Large-Language-Model-based Multi-Agent Collaboration

C Qian, Z Xie, Y Wang, W Liu, Y Dang, Z Du… - arXiv preprint arXiv …, 2024 - arxiv.org
Pioneering advancements in large language model-powered agents have underscored the
design pattern of multi-agent collaboration, demonstrating that collective intelligence can …

Demystifying Higher-Order Graph Neural Networks

M Besta, F Scheidl, L Gianinazzi, S Klaiman… - arXiv preprint arXiv …, 2024 - arxiv.org
Higher-order graph neural networks (HOGNNs) are an important class of GNN models that
harness polyadic relations between vertices beyond plain edges. They have been used to …

[PDF][PDF] A Review on Neuro-symbolic AI Improvements to Natural Language Processing

M Keber, I Grubišic, A Barešic, A Jovic - zemris.fer.hr
Symbolic artificial intelligence (AI) reflects the domain knowledge of experts and adheres to
the logic of the subject area, rules, or any relations between entities. Connectionist (neuro) …

Transaction classification using a large language model: A study on whether large language models can be used to make accurate classifications of financial …

L Andersson - 2024 - diva-portal.org
Being part of one of the most successful franchise businesses, Inter IKEA Group wishes to
implement state-of-the-art technology to improve business processes and ensure efficiency …