Internet never forgots and now thought police never fails

A sophisticated semantic network system capable of encoding inference rules within the network itself. Built for efficient memory usage and powerful logical reasoning, zelph can process the entire Wikidata knowledge graph (1.7TB) to detect contradictions and make logical deductions.

A python script that uses Spacy library to detect contradiction among input statements

A tool for auditing bias through large language models

Hybrid memory architecture combining exact recall with infinite-capacity fuzzy understanding for LLMs. Temporal Belief Graph (TBG) for contradiction detection.

MedTrace is a PubMed-powered RAG application that retrieves, embeds, and analyzes biomedical literature, adding a contradiction detection layer to highlight supporting vs. opposing evidence and an LLM-as-a-judge evaluation module to score response relevance, groundedness, and confidence.

LLM-powered deceptive review detection system using semantic embeddings and contradiction reasoning.

📃⚖️🙅 Pipeline to detect contradictions in policy documents using NLP and transformers.

Rule-based and Transformer-based NLP Systems for detecting textual contradictions in paired witness statements

MindGraph OS: An AI powered knowledge operating system that transforms documents and codebases into a living temporal knowledge graph with autonomous reasoning agents.

A self-evolving cognitive architecture that grows a real mind through tension, contradiction, and time. No reward model. No fine-tuning. No alignment tax. Only decay, mutation, and the slow pressure of unresolved beliefs.

Token ranked neuro symbolic transformer with SQL working memory, causal graph reasoning, and adaptive belief consolidation for self explaining cognition.

🔍 Track contradictions in AI and human content with LBOS-LCAS, enhancing bias and coherence analysis for clearer understanding and insights.

Contradiction Detection using LSTMs