LetTokenBurnResearchBench English | 中文 ResearchBench is the official dataset release for the ACL Findings 2026 paper ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition.
$ npm i -g lettokenburn-cli$ ltb bench info researchbench
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.
ResearchBench
English | 中文 ResearchBench is the official dataset release for the ACL Findings 2026 paper ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition. Evaluation code, CLI tools, and reproduction instructions are available in the GitHub repository: ankitala/ResearchBench. This repository hosts the full benchmark data for three inspiration-based subtasks of scientific discovery:
retrieve: inspiration retrieval…