computational cognitive science :: language use & evolution :: Bayesian data analysis :: background in logic & philosophy
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Come work with us!!
PostDoc position in Collaborative Research Center "Common Ground" (3.5y)
Deadline November 10th 2025
Philosophy of Language | Cognitive Science | Pragmatics | Logic | ...
Apply, share, or reach out for details!
tinyurl.com/y33vjwj2
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Come work with us!!
Opening for PhD position (3.5 years) on Language Evolution | Computational Modeling | Primate Communication in CRC "Common Ground".
Share, apply, or reach out for details!
tinyurl.com/y2av9hhd
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📢 2 PhD positions (Tübingen, Germany) on great ape communication & the evolution of common ground!
🧠 biology, psychology, linguistics, philosophy of language, language evolution, modeling
🗓️ Deadline: Aug 13
🔗 bit.ly/4l8p7hy & bit.ly/46jcfAq
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PostDoc position (3.5y) available in interdisciplinary Collaborative Research Center "Common Ground".
🎯 Topic: Pragmatic reasoning about Common Ground
🎓 linguistics | philosophy of language | cognitive science
📅 Deadline: July 14 tinyurl.com/3vd9wa6p
Please share!
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Michael Franke retweeted
Imagine a (fully hypothetical) situation: you are terrified of some recent election outcome. When would you say that the election outcome is interesting, rather than calling it horrible? In a new paper with @meanwhileina and Martin Butz we develop a model of #indirect speech.
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Michael Franke retweeted
LLMs are now everyday conversation partners, but key questions remain: which, if any, inferences do they compute for conversation? Are LLMs (non) human-like *pragmatic* language users?
Submit to our workshop and join for talks by @_jennhu @vdemberg @meanwhileina @dan_fried!
Happy to announce the first workshop on Pragmatic Reasoning in Language Models — PragLM @ COLM 2025! 🧠🎉
How do LLMs engage in pragmatic reasoning, and what core pragmatic capacities remain beyond their reach?
🌐 sites.google.com/berkeley.ed…
📅 Submit by June 23rd
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Michael Franke retweeted
Excited to share a new preprint w/ @Michael_Lepori & @meanwhileina!
A dominant approach in AI/cogsci uses *outputs* from AI models (eg logprobs) to predict human behavior.
But how does model *processing* (across a forward pass) relate to human real-time processing? 👇 (1/12)
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Position opening: #CompLing, #NLP, #CogSci
Junior Group Leader / PostDoc
(4y, German E14 salary scale) @uni_tue
- no teaching obligations
- PhD co-supervision
- dynamic interdisciplinary team in one of Germany’s top research universities
tinyurl.com/jhxb4wu2
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Michael Franke retweeted
How to computationaly🔢 identify persuasion and misinformation? And how can humam and AI🤖 resisit persuasions? Please come to my poster today 2:30-3:45 at #SPSP2025 belief and misinformation preconference @SPSPnews. Joint work with @hawkrobe @thecharleywu and @meanwhileina
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Great workshop organized by/for PhD students on "Context in Cognition" #CogSci at #uni_tue.
Join us! Spread the word!
I’m delighted to co-organize this great event! Register & share!
🧠 Join Us for the PhD Symposium on “Understanding Context in Cognition”!
📆 April 7–9, 2025
📍 University of Tübingen, Germany
🌐 Registration is FREE! Register now here: cogsciprag.github.io/context…
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Michael Franke retweeted
New paper by our team, led by Vinicius Macuch-Silva "Strategic use of English quantifiers in the reporting of quantitative information".
Link here:
doi.org/10.1080/0163853X.202…
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Michael Franke retweeted
Friends! I am looking for PhD and Masters students to join my group for Fall 2025, Please share with students you may know who are interested in the intersection of language, CogSci, and AI! first deadline is Dec 1st, see my page for more info: evaportelance.github.io/pros…
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Looking forward to another instance of this BDA course!
📊 Bayesian Data Analysis in R 📊
📅 3–7 March 2025 (ONLINE)
👤 Instructor: @meanwhileina
Gain hands-on experience with Bayesian models and boost your skills with practical examples!
🔗physalia-courses.org/courses…
#BayesianData #Rstats #DataScience #BayesStats
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Michael Franke retweeted
VERY VERY NICE from @meanwhileina @tsvilodub @CarcassiFausto
- LLMs do not capture the variance in the human data at the item-level."
- **at best** predictors at the aggregate, condition-level, for which they are (not designed) in the first place.
arxiv.org/abs/2406.09012
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New preprint w/ @tsvilodub &
@CarcassiFausto on how predictions from LMs may fuel statistical models.
arxiv.org/abs/2406.09012
TLDR:
LMs predict at item-level, but these predictions are not supported (by our data)
with proper aggregation, LMs can predict condition-level data
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PostDoc-level & PhD positions in NLP/CogSci/ML at the University of Tübingen!
LMM, explainability, cognitive modeling, ...
#1 PostDoc / Junior Group Leader (4 years, E14)
uni-tuebingen.de/universitae…
#2 PhD positions (4 years each, E13 65%)
uni-tuebingen.de/universitae…
Please share!
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*TWO* openings for Full Professor in Computational Linguistics at the University of Tübingen!
#1 CL + General Linguistics
uni-tuebingen.de/en/universi…
#2 CL + Cognitive Science / ML
- uni-tuebingen.de/en/universi…
Please retweet, get in touch, apply ...
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Michael Franke retweeted
It's a very exciting day! My #EmmyNoether group is starting! We are planning a lot of fun projects. Currently putting together a workshop with @danielwharris and Elin McCready on the role of background beliefs in the construction of meaning. More info on that soon!
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