Tag: language model fairness
Large language models exhibit hidden biases from training data, human feedback, and internal architecture. New research reveals pro-AI bias, AI-AI bias, and methods to detect and fix them before they cause real harm.
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Training Data Poisoning Risks for Large Language Models and How to Mitigate Them
Jan, 18 2026
Few-Shot Fine-Tuning of Large Language Models: When Data Is Scarce
Feb, 9 2026
How Vibe Coding Delivers 126% Weekly Throughput Gains in Real-World Development
Jan, 27 2026
Grounding Reasoning with External Verifiers in LLMs: Stopping Hallucinations
Apr, 27 2026
Backlog Hygiene for Vibe Coding: How to Manage Defects, Debt, and Enhancements
Jan, 31 2026