Improving Causal Reasoning in Large Language Models: A Survey

S Xiong, D Chen, Q Wu, L Yu, Q Liu, D Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Causal reasoning (CR) is a crucial aspect of intelligence, essential for problem-solving,
decision-making, and understanding the world. While large language models (LLMs) can …

Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though

X Tan, Y Deng, X Qiu, W Xu, C Qu, W Chu… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) have shown exceptional performance as general-purpose
assistants, excelling across a variety of reasoning tasks. This achievement represents a …

SymBa: Symbolic Backward Chaining for Multi-step Natural Language Reasoning

J Lee, W Hwang - arXiv preprint arXiv:2402.12806, 2024 - arxiv.org
Large Language Models (LLMs) have recently demonstrated remarkable reasoning ability
as in Chain-of-thought prompting, but faithful multi-step reasoning remains a challenge. We …

Visualizing Large Language Models: A Brief Survey

AMP Brasoveanu, A Scharl, LJB Nixon… - 2024 28th …, 2024 - ieeexplore.ieee.org
This paper explores the current landscape of visualizing large language models (LLMs). The
main objective was threefold. Firstly, we investigate how we can visualize LLM-specific …

Language Models can be Deductive Solvers

J Feng, R Xu, J Hao, H Sharma, Y Shen… - Findings of the …, 2024 - aclanthology.org
Logical reasoning is a fundamental aspect of human intelligence and a key component of
tasks like problem-solving and decision-making. Recent advancements have enabled Large …

[PDF][PDF] Modular Design Patterns for Generative Neuro-Symbolic Systems

M De Boer, Q Smit, M van Bekkum, A Meyer-Vitali… - 2024 - ceur-ws.org
Developing systems that are able to generate novel outputs is one of the dominating trends
in current Artificial Intelligence (AI) research. Both capabilities and availability of such …

GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers

Q Li, L Cui, X Zhao, L Kong, W Bi - arXiv preprint arXiv:2402.19255, 2024 - arxiv.org
Large language models (LLMs) have achieved impressive performance across various
mathematical reasoning benchmarks. However, there are increasing debates regarding …

[PDF][PDF] Neuro-Symbolic AI in 2024: A systematic review

BC Colelough, W Regli - 2022 - brandoncolelough.com
Abstract Background: The field of Artificial Intelligence has undergone cyclical periods of
growth and decline, known as AI summers and winters. Currently, we are in the third AI …