23 citations · 48 across the 15 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025★ 23 cited
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1168
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
cs.LG2020★ 5 cited
Quantile Regularization: Towards Implicit Calibration of Regression Models
Saiteja Utpala, Piyush Rai
Recent works have shown that most deep learning models are often poorly calibrated, i.e., they may produce overconfident predictions that are wrong. It is therefore desirable to ha…