1. Introduction

2. Formalizing Bias and Fairness for LLMs

3. Taxonomy of Metrics for Bias Evaluation

4. Taxonomy of Datasets for Bias Evaluation

5. Taxonomy of Techniques for Bias Mitigation

6. Open Problems & Challenges

7. Limitations

8. Conclusion