• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: LLM hallucinations

How to Detect Fabricated References in LLM Outputs: A Guide for Researchers
How to Detect Fabricated References in LLM Outputs: A Guide for Researchers

Tamara Weed, Jul, 18 2026

Discover how to detect fabricated references in LLM outputs. Learn why AI creates ghost citations, the risks to academic integrity, and tools like CERCA to verify sources.

Categories:

Science & Research

Tags:

fabricated references LLM hallucinations citation verification academic integrity AI detection tools

Recent post

  • Addressing Hallucinations in Generative AI: Practical Mitigation Strategies for 2026
  • Addressing Hallucinations in Generative AI: Practical Mitigation Strategies for 2026
  • Layer Dropping and Early Exit Techniques for Faster Large Language Models
  • Layer Dropping and Early Exit Techniques for Faster Large Language Models
  • Memory Planning to Avoid OOM in Large Language Model Inference
  • Memory Planning to Avoid OOM in Large Language Model Inference
  • Latency Optimization for Large Language Models: Streaming, Batching, and Caching
  • Latency Optimization for Large Language Models: Streaming, Batching, and Caching
  • Post-Training Evaluation Gates Before Shipping a Large Language Model
  • Post-Training Evaluation Gates Before Shipping a Large Language Model

Categories

  • Science & Research
  • Enterprise Technology

Archives

  • July 2026
  • June 2026
  • May 2026
  • April 2026
  • March 2026
  • February 2026
  • January 2026
  • December 2025
  • November 2025
  • October 2025
  • September 2025
  • August 2025

Tags

vibe coding prompt engineering large language models generative AI Large Language Models AI governance transformer architecture AI coding tools LLM security data privacy AI compliance prompt injection AI development AI coding assistants responsible AI LLM optimization AI coding LLM training transformer models AI code generation

© 2026. All rights reserved.