Ping Wang

Assistant Professor, Computer Science, Stevens Institute of Technology

[Amit Kumar Jaiswal @AMIT_GKP]

We've extended the submission deadline of our #IEEE ICDM Workshop on Graph-Augmented LLMs: Bridging Language and Structured Knowledge to September 5th (AoE)!

For more info on the workshop and how to submit your work: https://t.co/iiHVtwUfWr

#LLM #AI #GraphML #RAG #Analytics

[Ping Wang @wangpinggl]

@Yue_Ning @NSF Congratulations, Yue!

[The Sanghani Center at Virginia Tech @SanghaniCtrVT]

Ph.D. student Ping Wang is focused on developing machine learning methods that can efficiently utilize EHRs, making it easier for doctors to access information. This week, she takes the @SanghaniCtrVT spotlight. @wangpinggl @chandankreddy @VT_CS https://t.co/M28lozq9sQ

[Ping Wang @wangpinggl]

Join the post-workshop socials at #WiML2020

[WiML @WiMLworkshop]

The #WiML2020 post-workshop informal socials are now happening on the WiML https://t.co/IW7YN3cUY6! #NeurIPS2020

[Ping Wang @wangpinggl]

Excited to serve as a poster mentor and a volunteer at #WiML2020 #NeurIPS2020 . Now a closing remarks from the WiML president. Looking forward to 2021!

[Ping Wang @wangpinggl]

Check the invited talk now about "Getting interaction strategies to emerge from first principles" #WiML2020 #NeurIPS2020

[Maithra Raghu @maithra_raghu]

Our paper on using Machine Learning (Direct Uncertainty Prediction) for predicting doctor disagreements and medical second opinions will be at @icmlconf next week!

Blog: https://t.co/bbqOn3RIat

Paper: https://t.co/pFqa2JCVLR

#icml2019 #DeepLearning

[The Sanghani Center at Virginia Tech @SanghaniCtrVT]

Tian Shi, @VT_DAC Ph.D. student, #NAACL2019 in Minneapolis to present demo of his text summarization toolkit. @tianshi5940 @chandankreddy @VT_CS

[Jonathan K. Kummerfeld @jkkummerfeld]

We've added WikiSQL and Spider to our text2sql dataset collection (https://t.co/mpUR2nbC8q), plus made a range of improvements to other datasets! Thank you to @MarkNeumannnn and @VictoriaLinML for contributions.

[Peng Qi @qi2peng2]

Processing the entire Wikipedia is not fun (trust me when I say it 😂), and also not something one should have to do every day.

This is why we are releasing the processed intro paragraphs used in HotpotQA to make fullwiki QA setup less painful. See https://t.co/nJvlGjvomD

[Stanford NLP Group @stanfordnlp]

People usually get information from others in a multi-turn conversation. To approach this, we’ve released CoQA 🍃—A Conversational Question Answering Challenge by @sivareddyg•@danqi_chen•@chrmanning. 127K Qs— free-form answers—with evidence—multi-domain. https://t.co/XkdWC2Hh3W