Dawei

PhD student at @LstSaar and @SIC_Saar.

[Marius Mosbach @mariusmosbach]

It's exciting to see renewed interest in weakly supervised learning as well as its promises and limitations when applied to LMs. 9/N

cc @cs_dawei @andst_link

[Dawei @cs_dawei]

This is joint work with Xiaoyu Shen, Marius Mosbach (@mariusmosbach), Andreas Stephan (@andst_link ), and Dietrich Klakow.
🧵 12/N

[Dawei @cs_dawei]

📢 Check out our new #ACL2023 paper! "Weaker Than You Think: A Critical Look at Weakly Supervised Learning"

⚠ Want to apply weak supervision to solve your real-world tasks? Wait a second! ⚠

https://t.co/B9flF740UO
🧵 1/N

[Dawei @cs_dawei]

We hope our findings and recommendations will spur more robust future work in WSL such that future methods are truly beneficial in realistic low-resource scenarios. 🙌🙌🙌
🧵11/N

[Michael A. Hedderich @MicHedderich]

We will present our latest work on learning with noisily labeled data at #AAAI2021😊 If you are interested in distant supervision and noisy labels, we invite you to visit our poster this weekend or take a look into the paper https://t.co/bOT1LHwj0n @cs_dawei

[LST @ Saarland University @LstSaar]

"Neural Data-to-Text Generation with LM-based Text Augmentation"
(Long Paper)
Authors: Ernie Chang, Xiaoyu Shen, Dawei Zhu, Vera Demberg and Hui Su @erniecyc @cs_dawei