2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
DebateQA: Evaluating Question Answering on Debatable Knowledge
Rongwu Xu, Xuan Qi, Zehan Qi +2
The rise of large language models (LLMs) has enabled us to seek answers to inherently debatable questions on LLM chatbots, necessitating a reliable way to evaluate their ability. H…
cs.SI2023
Attacking The Assortativity Coefficient Under A Rewiring Strategy
Shuo Zou, Bo Zhou, Qi Xuan
Degree correlation is an important characteristic of networks, which is usually quantified by the assortativity coefficient. However, concerns arise about changing the assortativit…
cs.CV2023★ 2 cited
Can pre-trained models assist in dataset distillation?
Yao Lu, Xuguang Chen, Yuchen Zhang +7
Dataset Distillation (DD) is a prominent technique that encapsulates knowledge from a large-scale original dataset into a small synthetic dataset for efficient training. Meanwhile,…