Enhancing reasoning capabilities of LLMs by fine-tuning based algorithm using Symbolic AI feedback component
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Updated
Oct 8, 2024 - Jupyter Notebook
Enhancing reasoning capabilities of LLMs by fine-tuning based algorithm using Symbolic AI feedback component
Scene Graph Generation in Autonomous Driving: a neuro-symbolic approach
Github repository for the assignments of course COL775: Deep Learning at IIT Delhi (Spring-23). Course Instructor: Prof. Parag Singla
Code for "ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition" (LREC-COLING 2024)
Official codebase for the "rsbench: A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts" benchmark paper.
Lattice-preserving ALC ontology embeddings
Arquivos da Implementação do método de Aprendizagem Relacional no paradigma de Sistemas Neuro-Simbólicos.
python package for fast solver-free training of neural ILP architectures
ReOnto is a neuro-symbolic approach where we use ontologies and GNNs to extract relations from sentences.
Codebase for the paper "Generalized Reasoning with Graph Neural Networks by Relational Bayesian Network Encodings"
The official repository for the PSYCHIC model
PyEDCR is a package providing error detecting and corrective rules into Python. Given a model, PyEDCR's goal is to recognize when it is incorrect based on a set of conditions and then correct the incorrect prediction.
Neuro-symbolic anomaly detection and complex fault diagnosis exemplified in the automotive domain.
Official website for the "rsbench: A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts" benchmark paper
Codebase for BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.
A neural network model builder, leveraging a neuro-symbolic interface.
Sem@K: Is my knowledge graph embedding model semantic-aware?
Normalizing flows for neuro-symbolic AI
official repo for the NeurIPS 2022 paper "A Solver-Free Framework for Scalable Learning in Neural ILP Architectures"
Demo for Neuro-Symbolic Agent (LOA)
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