Improve visibility of LLM candidates in the arena for user awareness

[kangsuhyun-yanolja]

Users currently lack the ability to see which Language Learning Models (LLMs) are included in our arena. This lack of visibility makes it difficult for users to understand the range of models they are interacting with or comparing. To enhance user awareness and engagement, it's crucial to display information about the LLM candidates available in the arena.

[kimsooyeon-yanolja]

@kangsuhyun-yanolja
Do we have our own data on how much each model has been exposed to testing and comparison?
It seems important for boosting user leaderboard reliability to ensure a fair distribution of model testing.

if the number of tests is relatively low compared to other leaderboards, it would be good to directly convey that the model exposure count follows a uniform distribution.

cc. @seungduk-yanolja

[kangsuhyun-yanolja]

We store every battle result so I think we could implement the uniform distribution. thank you for the comment!