MS-Bench
Harbor: pendingWe introduce MS-Bench, a benchmark for ancient manuscript analysis, revealing how LMMs handle philological tasks, highlighting the potential for future human-AI collaboration.
- Samples
- N/A
- Released
- 2025
- Scores
- 0
Multi-Document Summarization of Medical Studies
MS^2 (Multi-Document Summarization of Medical Studies) is a dataset of over 470k documents and 20k summaries derived from the scientific literature.
$ npm i -g lettokenburn-cli$ ltb bench info ms-2
External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.
Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs
No sourced scores recorded yet.
Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.
MS^2 (Multi-Document Summarization of Medical Studies) is a dataset of over 470k documents and 20k summaries derived from the scientific literature. This dataset facilitates the development of systems that can assess and aggregate contradictory evidence across multiple studies, and is one of the first large-scale, publicly available multi-document summarization dataset in the biomedical domain.