Evaluating LLM Reasoning Abilities With SciBench Benchmark
SciBench benchmark reveals current Large Language Models struggle with complex scientific problems, achieving only 43.22% correct answers.
This is a Plain English Papers summary of a research paper called SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Overview This paper introduces a new benchmark suite called SciBench to assess the reasoning capabilities of Large Language Models (LLMs) on complex scientific problems. Existing benchmarks focus on high-school level problems, but SciBench features collegiate-level problems in mathematics, chemistry, and physic...