CORE-Bench
Harbor: pendingCORE-Bench (EMNLP 2026) Evaluation Code: https://github.
- Samples
- N/A
- Released
- 2026
- Scores
- 0
CORE-Bench
Evaluate how well an LLM Agent is at computationally reproducing the results of a set of scientific papers.
How to run
ltb · core-bench
$ npm i -g lettokenburn-cli$ ltb bench pull core-bench
External harness. pip install inspect-evals && inspect eval inspect_evals/core_bench --model <provider/model> https://github.com/UKGovernmentBEIS/inspect_evals
Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs
Scores
0 sourced entriesNo sourced scores recorded yet.
Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.
Reproduced by the community
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Evaluate how well an LLM Agent is at computationally reproducing the results of a set of scientific papers.