3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2025
FlagEval Findings Report: A Preliminary Evaluation of Large Reasoning Models on Automatically Verifiable Textual and Visual Questions
Bowen Qin, Chen Yue, Fang Yin +26
We conduct a moderate-scale contamination-free (to some extent) evaluation of current large reasoning models (LRMs) with some preliminary findings. We also release ROME, our evalua…
cs.NE2017★ 3 cited
ApproxDBN: Approximate Computing for Discriminative Deep Belief Networks
Xiaojing Xu, Srinjoy Das, Ken Kreutz-Delgado
Probabilistic generative neural networks are useful for many applications, such as image classification, speech recognition and occlusion removal. However, the power budget for har…