natural language. In Proceedings of AAAI.

Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam,
P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R.,
Ramesh, A., Ziegler, D., Wu, J., Winter, C., Hesse, C., Chen, M., Sigler, E., Litwin, M., Gray, S.,
Chess, B., Clark, J., Berner, C., McCandlish, S., Radford, A., Sutskever, I., and Amodei, D. (2020).
Language models are few-shot learners. In Proceedings of NeurIPS.

Chia, Y. K., Hong, P., Bing, L., and Poria, S. (2023). INSTRUCTEVAL: towards holistic evaluation

of instruction-tuned large language models. CoRR, abs/2306.04757.

Chowdhery, A., Narang, S., Devlin, J., Bosma, M., Mishra, G., Roberts, A., Barham, P., Chung,
H. W., Sutton, C., Gehrmann, S., et al. (2022). Palm: Scaling language modeling with pathways.
arXiv preprint arXiv:2204.02311.

Clark, C., Lee, K., Chang, M.-W., Kwiatkowski, T., Collins, M., and Toutanova, K. (2019). BoolQ:
TinyLlama