Improving Causal Reasoning in Large Language Models: A Survey
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 …
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
Large language models (LLMs) have shown exceptional performance as general-purpose
assistants, excelling across a variety of reasoning tasks. This achievement represents a …
assistants, excelling across a variety of reasoning tasks. This achievement represents a …
SymBa: Symbolic Backward Chaining for Multi-step Natural Language Reasoning
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 …
as in Chain-of-thought prompting, but faithful multi-step reasoning remains a challenge. We …
Visualizing Large Language Models: A Brief Survey
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 …
main objective was threefold. Firstly, we investigate how we can visualize LLM-specific …
Language Models can be Deductive Solvers
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 …
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 …
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
Large language models (LLMs) have achieved impressive performance across various
mathematical reasoning benchmarks. However, there are increasing debates regarding …
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 …
growth and decline, known as AI summers and winters. Currently, we are in the third AI …