Tag: AI language models
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RAG Fairness: Impact of Exposure, Utility & Bias
Explore how exposure, utility, and attribution bias affect fairness in Retrieval-Augmented Generation (RAG) for AI language models.
Alignment Tax in LLMs: Impact on Response & Uncertainty
Explore how alignment tax causes response homogenization in LLMs and affects uncertainty estimation across benchmarks and model families.
Two-Phase Fine-Tuning for Efficient Text-to-SQL Models
Discover a two-phase fine-tuning method that boosts text-to-SQL efficiency, reducing costs and latency with high accuracy for scalable SQL query generation...
PoliticsBench: Evaluating Political Bias in Large Language Models
Discover how PoliticsBench measures political bias in top LLMs using multi-turn roleplay to reveal left and right-leaning tendencies in AI responses.
Perturbation: Efficient Adversarial Tracer for Language Models
Discover Perturbation, a simple and effective adversarial tracer that enhances representation learning in deep language models without geometric constraint...