Their novel solutions outperformed GPT -4, showcasing FinBen's potential to drive innovations in financial LLMs.

However, recent studies show that the alignment can be easily compromised through finetuning with only a few adversarially designed training examples.

We study whether transformers can learn to implicitly reason over parametric knowledge, a skill that even the most capable language models struggle with.

We derive the distortion-rate function for this setup as a linear program, and provide an efficient algorithm to compute this fundamental limit via the dual of the linear program.

Work was done when interned at Zhipu AI.

This paper contains uncensored toxic content that might be offensive. Toxicity classification in textual content remains a significant problem.