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
Code and data for Paper "Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement"
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.
Complex-valued neuro-symbolic transformer using PyTorch.
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.
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. 🐙💻
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