Neues https://t.co/6ZSOUBcdCW Feature 🎉
>Konfigurierbare Dashboards<
Damit kannst du ganz einfach Dashboards mit vielen Charts erstellen um Informationen und Regionen zu vergleichen. Die Charts können gespeichert und per URL geteilt werden.
Entwickelt an der @UniKonstanz
Want to explore #wordembedding properties? Here are some ideas for data preparation steps✂️, interesting additional features🍩, and some relevant references✍️: https://t.co/aayWQ2xIFx With
@melassady 😊 #nlviz#ieeevis#LLMs
Our visualizations show that larger models, e.g., ChatGPT and Bard, are less biased than their smaller counterparts. Are the models getting better or the engineering steps used to adapt the outputs? 🤔@melassady#ieeevis#vds 👉https://t.co/Z8yKABJMCR
What biases are encoded in texts generated by #LLMs? Our workspace helps to explore stereotypes encoded in prompt outputs and detect unexpected word associations. @melassady will present our work
@VisualDataSci🥳 Paper and demo: https://t.co/Z8yKABJMCR #ieeevis2023@ieeevis
Deadline extension! Workshop submissions are now due July 8th!
Find more information here: https://t.co/pjtDD2Iu0T
Looking forward to your contributions!
Our templates for video bulletin submissions are now online (https://t.co/pjtDD2HWbl). We also thank the preliminary AP & IPC for their support (see https://t.co/5b1jfluuxg).
Submissions are due July 1st! @ieeevis#ieeevis
Thank you to #EuroVis and the Early Career Award Committee for the award. I'm honored and humbled to be working in, and recognized by the amazing #ieeevis community. Looking forward to many more years of #visualization research and future collaborations. ☺️
#eurovis2023
Daniel Keim and Menna El-Assady of Univ of Konstanz offer an interactive exploration tool for a thoughtfully indexed set of 71 papers on Human-Centered Evaluations of Human-Centered Machine Learning https://t.co/50uL710c57
Nach dem erfolgreichen Kick-Off im April '22 wurde das #UniKonstanz Centre for HUMAN | DATA | SOCIETY gegründet. Das Zentrum untersucht transdisziplinär Aspekte der Datengesellschaft sowie die Interaktionen zwischen Menschen + datengetriebenen Systemen. https://t.co/oTrg4P49vK
How should we compare the embedding spaces of large language models? Did language model adapters (@AdapterHub) introduce bias? Join us in the current #ieeevis session on comparison in Oklahoma Station 1. #vis22
Our @ieeevis paper shows how to visually compare embedding spaces produced by adapted language models. Thanks, @AdapterHub, for the variety of adapters for evaluation!🥳And a big thank you to my co-authors E.Cakmak @ravfogel @ryandcotterell @melassady!😀 https://t.co/AwkPu679nA
Today, I'm happy to present "Semantic Color Mapping: A Pipeline for Assigning Meaningful Colors to Text" at the @VisGuides workshop at IEEE VIS2022 #VIS22@ieeevis. This is joint work with @melassady@RSevastjanova@spinthil, Rebecca Kehlbeck, Udo Schlegel and @FSperrle @dbvis
To "understand language", masked #languagemodels should capture semantic constraints of function words (e.g., negation, coordination, quantifiers). We show that BERT, RoBERTa, and ALBERT don't: https://t.co/0PjV0NbfKe More: https://t.co/4aEB4CfjPG
To appear @coling2022 . @dbvis
What a cool summary of our recent paper on challenges that may occur when designing language model explanations! 😍 Thanks, @NLPParrot ! 😀 Paper: https://t.co/55iPyQ9qAb @manunna_91@dbvis
Do you know about the Rationalization Trap in #XAI? We present a conceptual model on challenges that can occur when language model explanations differ from our mental model of language.✍️@manunna_91📢@IJCAIconf#IJCAI2022Workshop
Read more about it here: https://t.co/55iPyQ9qAb
Happening now at #eurovis2022, @ibltzr presenting our typography of guidance tasks in mixed-initiative visual analytics, a collaboration with @dadolissimo @SilviaMiksch13 and @FSperrle. #eurovis
Happening now at #eurovis2022, @RSevastjanova presenting our work on Language Model Explainability (@LingVISio). Check out https://t.co/h5wo7EwdOt for more information. #NLProc