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Ailin Deng

9 papers hereh-index 71.6k citations21 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author5

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.CV2
  • cs.CL1
same name
  • Ailin Deng — 2 papers, h 3
  • Ailin Deng — 1 paper
  • Ailin Deng — 1 paper, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedPrompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection

23 citations · 41 across the 8 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CL2023★ 23 cited

Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection

Jiaying Wu, Shen Li, Ailin Deng +2

Despite considerable advances in automated fake news detection, due to the timely nature of news, it remains a critical open question how to effectively predict the veracity of new…

cs.LG2023★ 4 cited

Proximity-Informed Calibration for Deep Neural Networks

Miao Xiong, Ailin Deng, Pang Wei Koh +4

Confidence calibration is central to providing accurate and interpretable uncertainty estimates, especially under safety-critical scenarios. However, we find that existing calibrat…

cs.LG2023

Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement

Ailin Deng, Miao Xiong, Bryan Hooi

Reliable application of machine learning is of primary importance to the practical deployment of deep learning methods. A fundamental challenge is that models are often unreliable…

cs.LG2023

Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness

Ailin Deng, Shen Li, Miao Xiong +2

Trustworthy machine learning is of primary importance to the practical deployment of deep learning models. While state-of-the-art models achieve astonishingly good performance in t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.