[ACL 2023] Reasoning with Language Model Prompting: A Survey

WFGY 2.0 — Semantic Reasoning Engine for LLMs (MIT). Fixes RAG/OCR drift, collapse & “ghost matches” via symbolic overlays + logic patches. Autoboot; OneLine & Flagship. ⭐ Star if you explore semantic RAG or hallucination mitigation.

Framework and Language for Neurosymbolic Programming.

ToK aka Tree of Knowledge for Large Language Models LLM. It's a novel dataset that inspires knowledge symbolic correlation in simple input and output prompts

[EMNLP '23] Discriminator-Guided Chain-of-Thought Reasoning

[ICML 2023] Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization

Synthetic data generation for evaluating LLM symbolic and logic reasoning

A symbolic benchmark for verifiable chain-of-thought financial reasoning. Includes executable templates, 54 topics across 12 domains, and ChainEval metrics.

[EMNLP 2024] NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization

Participating in Explainable AI for Educational Question-Answering with Symbolic Reasoning

Code and data for Paper "Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement"

Mythral Neurosymbolic AI

Complex-valued neuro-symbolic transformer using PyTorch.

CIC-IPN course of Fundamentals of Artificial Intelligence with Salvador Godoy

A Neuro-Symbolic Attempt at Meta-Cognitive Learning

Symbolic reasoning system for LLMs

General-purpose symbolic AI framework. Designed for efficient, modular cognition.

UXI-LLM is a modular hybrid language model that combines neural and symbolic reasoning for enhanced AI capabilities. Built for flexibility and local use, it empowers developers and researchers to customize their AI solutions with ease. 🐙💻