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

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

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

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

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

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

A modular, symbolic-ready LLM framework addressing key dev pain points: local fine-tuning, full-language interoperability, and composable reasoning. Built for extensibility, performance, and seamless AI/UX integration across ecosystems.

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

A Neuro-Symbolic Attempt at Meta-Cognitive Learning

Complex-valued neuro-symbolic transformer using PyTorch.

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. 🐙💻

General-purpose symbolic AI framework. Designed for efficient, modular cognition using VLD — a symbolic language for compression and reasoning. Built to interpret, decide, and evolve without relying on massive LLMs.