" You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
Social science research has shown that candidates with names indicative of certain races or
genders often face discrimination in employment practices. Similarly, Large Language …
genders often face discrimination in employment practices. Similarly, Large Language …
Causality for Large Language Models
Recent breakthroughs in artificial intelligence have driven a paradigm shift, where large
language models (LLMs) with billions or trillions of parameters are trained on vast datasets …
language models (LLMs) with billions or trillions of parameters are trained on vast datasets …
Shortcut Learning in In-Context Learning: A Survey
Shortcut learning refers to the phenomenon where models employ simple, non-robust
decision rules in practical tasks, which hinders their generalization and robustness. With the …
decision rules in practical tasks, which hinders their generalization and robustness. With the …
A Multi-LLM Debiasing Framework
DM Owens, RA Rossi, S Kim, T Yu… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) are powerful tools with the potential to benefit society
immensely, yet, they have demonstrated biases that perpetuate societal inequalities …
immensely, yet, they have demonstrated biases that perpetuate societal inequalities …
Causal Reasoning in Large Language Models using Causal Graph Retrieval Augmented Generation
Large Language Models (LLMs) are leading the Generative Artificial Intelligence
transformation in natural language understanding. Beyond language understanding, LLMs …
transformation in natural language understanding. Beyond language understanding, LLMs …