docs: standardize reference

docs/blog/02-surpassing-chatgpt-with-open-source-alternatives.mdx

@@ -130,12 +130,20 @@ Anecdotally, we’ve had some success using this model in practice to onboard ne
 
 A full research report with more statistics can be found [here](https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/README.md).
 
-# References
+## References
 
-- [Catastrophic forgetting](https://arxiv.org/abs/2308.08747)
-- [Math specialization](https://arxiv.org/abs/2308.09583)
-- [Code specialization](https://arxiv.org/abs/2306.08568)
-- [Search specialization](https://github.com/SciPhi-AI/agent-search)
-- [Evol Instruct](https://github.com/nlpxucan/WizardLM)
-- [Lost in the middle](https://arxiv.org/abs/2307.03172)
-- [Instruction tuning](https://arxiv.org/pdf/2109.01652.pdf)
+[1] Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le. "Finetuned Language Models Are Zero-Shot Learners." arXiv preprint arXiv:2109.01652 (2021). URL: https://arxiv.org/abs/2109.01652
+
+[2] Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jianguang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Dongmei Zhang. "WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct." arXiv preprint arXiv:2308.09583 (2023). URL: https://arxiv.org/abs/2308.09583
+
+[3] Luo, Y., Yang, Z., Meng, F., Li, Y., Zhou, J., & Zhang, Y. (2023). "An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning." arXiv preprint arXiv:2308.08747. URL: https://arxiv.org/abs/2308.08747
+
+[4] Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang. "WizardCoder: Empowering Code Large Language Models with Evol-Instruct." arXiv preprint arXiv:2306.08568 (2023). URL: https://arxiv.org/abs/2306.08568
+
+[5] SciPhi-AI, "Agent Search Repository." GitHub. URL: https://github.com/SciPhi-AI/agent-search
+
+[6] Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang. "Lost in the Middle: How Language Models Use Long Contexts." arXiv preprint arXiv:2307.03172 (2023). URL: https://arxiv.org/abs/2307.03172
+
+[7] Luo, H., Sun, Q., Xu, C., Zhao, P., Lou, J., Tao, C., Geng, X., Lin, Q., Chen, S., & Zhang, D. (2023). "WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct." arXiv preprint arXiv:2308.09583. URL: https://arxiv.org/abs/2308.09583
+
+[8] nlpxucan et al., "WizardLM Repository." GitHub. URL: https://github.com/nlpxucan/WizardLM