#eXit: CaisaLab is no longer active on X. Combining #NLProc, ML, & #CompSocSci to understand people through language.
Bonn / Marburg, Germany
Joined December 2021
- Tweets184
- Following355
- Followers349
- Likes142
CAISA Lab retweeted
Spanende Diskussion zu Forschungsdatenstrukturen an der #BMBF . “Wir müssen die Sicherheit schaffen, dass es weiter geht. Und zwar nicht mit kleinen Insellösungen.“
CAISA Lab retweeted
Excited about our new Nature @NatureHumBehav paper, exploring societal impacts of #LLMs, where we argue that we should be thinking about those impacts through the lens of collective intelligence.
nature.com/articles/s41562-0…
CAISA Lab retweeted
At the AI All Hands Meeting, @CaisaLab 's Vahid presented the perspective taking and identity guessing demo game FanToMAS . Scan the QR code with your phone and try if you can beat the leaderboard! aivalify.com/fantomas
For the next two days, the All Hands Meeting of the German AI community takes place in Dresden. This morning, the AI centers @bifoldberlin, @DFKI, @LamarrInstitute, @MunichCenterML, @Sca_DS and Tübingen AI center presented their research highlights.
ALT Prof. Hilde Kühne (Tübingen AI Center), Prof. Christian Bauckhage (Lamarr Institute), Prof. Antonio Krüger (DFKI), Dr Jack Thoms (BIFOLD), Prof. Thomas Seidl (MCML), Prof. Birte Platow (ScaDS.AI Dresden/Leipzig) und Prof. Wolfgang E. Nagel (ScaDS.AI Dresden/Leipzig) (from left to right)
CAISA Lab retweeted
With @CaisaLab and the @LamarrInstitute , we're at the All Hands Meeting of the AI competence centers in Dresden, looking forward to discussing our research! (More on this paper here: caisa-lab.github.io/2024/08/…) #NLProc #LLM
For the next two days, the All Hands Meeting of the German AI community takes place in Dresden. This morning, the AI centers @bifoldberlin, @DFKI, @LamarrInstitute, @MunichCenterML, @Sca_DS and Tübingen AI center presented their research highlights.
ALT Prof. Hilde Kühne (Tübingen AI Center), Prof. Christian Bauckhage (Lamarr Institute), Prof. Antonio Krüger (DFKI), Dr Jack Thoms (BIFOLD), Prof. Thomas Seidl (MCML), Prof. Birte Platow (ScaDS.AI Dresden/Leipzig) und Prof. Wolfgang E. Nagel (ScaDS.AI Dresden/Leipzig) (from left to right)
CAISA Lab retweeted
From Bangkok straight to the #NRWTag in Cologne 🎉 If you are around this weekend, check out the KI booth with our @LamarrInstitute colleagues, such as @SvenBehnke with his fantastic humanoid robots (Zelt der Wissenschaft in Rheinauhafen)
CAISA Lab retweeted
Full house at 9 am for the start of the first Human-Centered LLM workshop at #ACL2024 @HuCLLM for the keynote of @Cristian_DNM
CAISA Lab retweeted
We're all at #ACL2024 ! Catch us today at 12-14 posters for perspective taking aclanthology.org/2024.findin… , tomorrow for human-centered LLMs hucllm-workshop.github.io/, and Friday for multilingual LLM bias aclanthology.org/2024.c3nlp-… and dialectal speech corpora aclanthology.org/2024.fieldm…
CAISA Lab retweeted
Btw, happy to host @MSCActions and @AvHStiftung postdoctoral fellows in @CaisaLab at the @UniBonn and @LamarrInstitute ! Talk to me at #ACL2024 if interested in applying; it’s that time of the year ;-)
CAISA Lab retweeted
In (3), @atu_tej w Victor Petrén Bach Hansen, @ramitsawhney and Anders Søgaard show that under differential privacy (DP-SGD) fairness decreases (disparity widens on between-group performance differences) and that we can mitigate this by using Group DRO optimization
CAISA Lab retweeted
In (2), @shaina_ashraf together with Fabio Gruschka and @ytaipsw show that detecting unreliable news spreading in Reddit and Twitter is more accurate when including behavioral patterns of the users
CAISA Lab retweeted
Especially happy about the first PhD paper of @funzac83 - she's attending in person, so say hello to her! (1) is her joint work w @belaneuendorf @JoanPlepi Jörg Schlötterer and @ytaipsw
CAISA Lab retweeted
Check out 3 @CaisaLab papers @ #NAACL :
(1) Scaling annotator modeling,
(2) modeling information spreader behavior,
(3) group fairness preservation under differential privacy.
Underline links:
1) tinyurl.com/yx8yyjjv
2) tinyurl.com/3jat37sm
3) tinyurl.com/2shznt8y
CAISA Lab retweeted
4 Caisarians presenting 5 papers (eg. on misinformation, framing, empathy) at #LREC2024! Talk to us if you’re interested in working with @caisalab and the @LamarrInstitute! (Or just samy hi anyway ;) )
CAISA Lab retweeted
Talk to @shainamscs at #LREC2024 !
#DisinformationDetection 🚨 Groundbreaking annotation approach “#DeFaktS, a German dataset uniquely designed for fine-grained disinformation detection through Social Media Framing” featured at @LrecColing Link: caisa-lab.github.io/resource… #NLP @lucie_nlp @UniBonn @LamarrInstitute
CAISA Lab retweeted
Talk to Wei-Fan Chen at #LREC2024 !
Have you been thinking about modifying text content based on a reference while preserving its style through a multi-task model? Check our #LREC2024 paper "Reference-guided Style-Consistent Content Transfer" here:caisa-lab.github.io/resource… #NLP @lucie_nlp @UniBonn @LamarrInstitute
CAISA Lab retweeted
Talk to @allielahnala at #LREC2024 !
#GoodNews about #BadNews: Our new annotation approach studies EMPATHY in clinical settings.📊Our paper "Appraisal Framework for Clinical Empathy" has been accepted at @LrecColing! #medicaldidactics #Empathy Link:caisa-lab.github.io/resource… #NLP @lucie_nlp @UniBonn @LamarrInstitute
CAISA Lab retweeted
Talk to @allielahnala at #LREC2024 !
Discover our unique coding scheme for #WorkplaceInteractions in our paper "LeadEmpathy: An Expert Annotated German Dataset of Empathy in Written Leadership Communication" accepted at @LrecColing! Access it here: caisa-lab.github.io/resource… #NLP @lucie_nlp @UniBonn @LamarrInstitute
CAISA Lab retweeted
@LamarrInstitute ‘s researcher meetup. it’s great to have a dedicated time for broader in-person research discussions every now and then!
CAISA Lab retweeted
🚨Exciting news! #NLProc
📢The call for papers is now open for the Workshop on Human-Centered Large Language Modeling (#HuCLLM2024) at #ACL2024NLP.
See CFP: hucllm-workshop.github.io/#C…
Direct Submission Deadline: May 10, 2024
ARR-reviewed papers Commitment Deadline: May 17, 2024