MLGroupJLU/LLM-eval-survey resource
The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models". observed · 2026-08-28
Health v2 · maintenance only
71/100
- Activity 95
- Release rhythm 35
- Longevity 82
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1158
- days_rel: n/a
- days_push: 32
- n_releases_24m: 0
Adoption not part of the score
1609 stars · 101 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
The official repository accompanying the survey paper 'A Survey on Evaluation of Large Language Models', curating papers and resources on LLM evaluation. It organizes research by what to evaluate (NLP, robustness, ethics, science, medicine, agents) and where/how to evaluate (benchmarks and methods).
Use cases
- find papers on evaluating large language models
- survey of LLM benchmarks and evaluation methods
- learn how to assess LLM trustworthiness and robustness
- find benchmarks for medical or agent applications of LLMs
- keep up to date with new LLM evaluation research
- background reading for designing an LLM evaluation strategy
When to choose
- you need a curated, organized reading list of LLM evaluation papers
- you are writing a related-work section on LLM assessment
- you want to discover benchmarks across many task domains
When to avoid
- you need runnable evaluation code or a tool rather than a paper collection
- you need a single benchmark dataset to execute
- you require licensed software with support guarantees
Facets
learning-resource · maturity active
documentation benchmarking large-language-models artificial-intelligence tutorials awesome-lists survey-paper llm-evaluation benchmarks paper-collection reading-list web-server
6 sources
- readme: https://github.com/MLGroupJLU/LLM-eval-survey · fetched 2026-08-28 · 4e9679b06e1a
- homepage: https://arxiv.org/abs/2307.03109 · fetched 2026-08-29 · 73a51ff63998
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| MLGroupJLU/LLM-eval-survey | main | 71 |
For agents
markdown · JSON · MCP: product_card(name="MLGroupJLU/LLM-eval-survey")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem