6 citations · 9 across the 2 of their papers we have counts for
3 papers
cs.CL2025
Explain Less, Understand More: Jargon Detection via Personalized Parameter-Efficient Fine-tuning
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…