streamlit_app_local/pages/brief_intro.py

import streamlit as st

from view_utils import default_page_setting, set_nav_bar

sidebar_placeholder = default_page_setting()
set_nav_bar(
    False, sidebar_placeholder=sidebar_placeholder, toggle_hashstr="brief_intro_init"
)

st.image("va_en.png")
if st.session_state.korean:
    st.info("여러분이 업로드하는 파일은 위 그림의 LLM 출력들입니다.")
    with st.expander("❓❔ 무엇을 업로드 하나요❓❔"):
        st.info(open("guide_mds/input_jsonls_kr.md", encoding="UTF8").read())
else:
    st.info(
        "What you upload is the generated responses of LLMs regarding the test prompts."
    )
    with st.expander("❓❔  What should I upload ❓❔"):
        st.info(open("guide_mds/input_jsonls_en.md", encoding="UTF8").read())


st.image("va_concept_new.png")
st.markdown(
    """
| |Current Practice|Arena-Lite|
|-|-|-|
|Total no. matches|$$n_{\\text{model}}*\\|X\\|$$|$$(n_{\\text{model}}-1)*\\|X\\|$$|
|No. matches per LLM|$$\\|X\\|$$|$$\\left[\\|X\\|,\\|X\\|\\text{log}n_{\\text{model}}\\right]$$|
|Comparison type|reference-mediated (anchored) |direct|
            """
)
if st.session_state.korean:
    st.info(
        "Arena-Lite는 신뢰성 있는 순위를 더 적은 횟수의 비교 내에 얻어내며, 이러한 특징은 LLM 직접 비교의 이점으로부터 기인합니다."
    )
else:
    st.info(
        "Arena-Lite takes advantage of direct comparison between LLM responses to guarantee better reliability in fewer number of total matches."
    )