6 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Explain Less, Understand More: Data-Efficient Personalization of Reader-Dependent Jargons
Bohao Wu, Qingyun Wang, Yue Guo
Personalizing jargon detection and explanation is essential for making technical documents accessible to readers with diverse disciplinary backgrounds. However, tailoring models to…
cs.CL2024★ 6 cited
OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs
Akari Asai, Jacqueline He, Rulin Shao +22
Scientific progress depends on researchers' ability to synthesize the growing body of literature. Can large language models (LMs) assist scientists in this task? We introduce OpenS…
cs.AI2024★ 3 cited
SciCode: A Research Coding Benchmark Curated by Scientists
Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang +27
Since language models (LMs) now outperform average humans on many challenging tasks, it has become increasingly difficult to develop challenging, high-quality, and realistic evalua…