Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning

Reasoning Computers. Lambda Calculus, Fully Differentiable. Also Neural Stacks, Queues, Arrays, Lists, Trees, and Latches.

AIKA (Artificial Intelligence for Knowledge Acquisition) is an innovative approach to neural network design, diverging from traditional architectures that rely heavily on rigid matrix and vector operations. The AIKA Project introduces a flexible, sparse, and non-layered network representation, derived from a type hierarchy.

📄 A curated list of visual reasoning papers.

Neuro-symbolic approaches to reasoning problems from abstract argumentation

Official Code for the NeurIPS'23 paper "3D-Aware Visual Question Answering about Parts, Poses and Occlusions"

[ACL 2025] NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering

A neural-symbolic joint reasoning approach for Natural Language Inference (NLI). Modeling NLI as inference path planning through a search engine. Sequence chunking and neural paraphrase detection for syntactic variation. SOTA result on SICK and MED.

Implementation of a new scenario for the Neural-Symbolic system NEUROLOG

PUMA – Program Understanding & Meta-learning Architecture Neuroscience-inspired meta-learning system for solving ARC-AGI-2 tasks through RFT-(Relational Frame Theory), symbolic reasoning, neural guidance, and test-time adaptation. #ARC2025

Developing neural-symbolic transformer models for superintelligence method

Jupyter notebooks with examples of Logical Neural Networks (LNN) by IBM

Developing neural-symbolic transformer methods for superintelligence

Holographic vectors you can compute with. Bind structure, bundle sets, unbind components cross NumPy, PyTorch, and JAX.