SciImpact is a new multi-dimensional benchmark showing that multi-task fine-tuned smaller LLMs can outperform larger models in predicting varied forms of scientific impact.
SPECTER: Document-level representation learning using citation-informed transformers
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CL 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
SC-Taxo adds bidirectional heading generation and peer semantic dependency modeling to LLMs to produce taxonomies with improved hierarchy alignment and heading quality on scientific literature benchmarks.
citing papers explorer
-
SciImpact: A Multi-Dimensional, Multi-Field Benchmark for Scientific Impact Prediction
SciImpact is a new multi-dimensional benchmark showing that multi-task fine-tuned smaller LLMs can outperform larger models in predicting varied forms of scientific impact.
-
SC-Taxo: Hierarchical Taxonomy Generation under Semantic Consistency Constraints using Large Language Models
SC-Taxo adds bidirectional heading generation and peer semantic dependency modeling to LLMs to produce taxonomies with improved hierarchy alignment and heading quality on scientific literature benchmarks.