72 citations · 133 across the 8 of their papers we have counts for
3 papers · 1 filter
A robust association between LLM use and scientific productivity: Assessing stopping-time selection
Keigo Kusumegi, Xinyu Yang, Paul Ginsparg +3
Renault, Bergeaud, and Bosquet (hereafter RBB) argue that dating LLM adoption as the first month in which an author's abstract is flagged induces a stopping-time selection that can…
Live Interactive Training for Video Segmentation
Xinyu Yang, Haozheng Yu, Yihong Sun +2
Interactive video segmentation often requires many user interventions for robust performance in challenging scenarios (e.g., occlusions, object separations, camouflage, etc.). Yet,…
Scientific production in the era of Large Language Models
Keigo Kusumegi, Xinyu Yang, Paul Ginsparg +3
Large Language Models (LLMs) are rapidly reshaping scientific research. We analyze these changes in multiple, large-scale datasets with 2.1M preprints, 28K peer review reports, and…