NovBench is the first large-scale benchmark with 1,684 expert-annotated pairs to evaluate LLMs on assessing academic paper novelty via a four-dimensional framework of Relevance, Correctness, Coverage, and Clarity.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment
NovBench is the first large-scale benchmark with 1,684 expert-annotated pairs to evaluate LLMs on assessing academic paper novelty via a four-dimensional framework of Relevance, Correctness, Coverage, and Clarity.