basilegrc @basilegrc

Cognitive science postdoc. human behavior/reinforcement learning/decision-making/computational modeling Joined August 2013

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Stefano Palminteri (@stepalminteri.bsky.social) @StePalminteri

11 months ago

New Preprint out! Lead by @basilegrc with Crystal Qian, where we investigate the human capacity to detect and agree with LLM-generated moral justifications. We found interesting pro- and anti- biases 1/n osf.io/preprints/psya…

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Stefano Palminteri (@stepalminteri.bsky.social) @StePalminteri

12 months ago

New preprint out! Context induces distortions in value representations: a test across multiple elicitation methods and learning modalities, where we significantly extend our understanding of context effect in learning and DM by @MagSoukupova w/ @basilegrc osf.io/preprints/psya…

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Nicolas Yax @nicolas__yax

a year ago

🚨New preprint🚨 Can LLM finetuning relationships be inferred only through model outputs ? We found that adapting phylogenetic algorithms 🧬 to language models 🤖 helps identify families of models and can even predict their performances with @StePalminteri and @pyoudeyer ! 1/9

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Ahmed El Hady @zamakany

2 years ago

Finally my paper with @neuroecology on What's behavior ? is in press @iScience_CP : bit.ly/45DsFQn We found people use mixture of six categories of behaviors combined into seven different types. Not everyone agrees but each individual has their own consistent definition

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Nicolas Yax @nicolas__yax

2 years ago

My first PhD paper with @StePalminteri and @AnlloHernan is available on arxiv ! We studied how cognitive biases🧠arise in a family of language models🤖and provide tools to quantify contamination🦠in LLMs and to draw a map of language models' abilities🗺️. arxiv.org/ftp/arxiv/pape…

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Stefano Palminteri (@stepalminteri.bsky.social) @StePalminteri

2 years ago

🚨New preprint out!🚨 "Studying and improving reasoning in humans and machines" doi.org/10.21203/rs.3.… work with @AnlloHernan and @NicolasYax3 We study something quite new for us comparative human and machine cognition 🧠 /🤖 So how did we get there?

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Stefano Palminteri (@stepalminteri.bsky.social) @StePalminteri

2 years ago

Extremely cool and timely study by Binz and colleagues on how psychological data can be used to fine-tune LLMs so that they can behave closer to humans. Even happier to see that they use our (@basilegrc) recent experience / description task for out of sample validation 1/

Marcel Binz @marcel_binz

2 years ago

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HIDEO_KOJIMA @HIDEO_KOJIMA_EN

2 years ago

Bought a CD of POLYPHIA's first album "REMEMBER THAT YOU WILL DIE" recommended by Eric. I am working on the project while being immersed in their guitars of the extra dimension.

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CLaE @leafs_s

2 years ago

Trends in Cognitive Sciences Toward computational neuroconstructivism: a framework for developmental systems neuroscience cell.com/trends/cogniti…

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Neuroskeptic 🇺🇦 @Neuro_Skeptic

2 years ago

The hippocampal navigation system as the basis of Fodor's "language of thought" psyarxiv.com/7rqkb/ A provocative preprint from Kazanina and @davidpoeppel. Does this mean all thought is ultimately spatial?

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Nahuel Salem-García @NahuelSalem

2 years ago

My first paper is out!! Thanks a lot to @mael_lebreton and @StePalminteri for making it possible psycnet.apa.org/doiLanding?doi…

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Imaging Neuroscience @ImagingNeurosci

2 years ago

All NeuroImage and NeuroImage:Reports editors have resigned over the high publication fee, and are starting a new non-profit journal imaging-neuroscience.org This comes with great regret, and a huge amount of thought and discussion- please read announcement to get more details.

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マイナビeカレ〜esports全国大学選手権〜【公式】 @mynaviecolle

2 years ago

\この後決勝戦が始まります🎉/ #マイナビeカレ～esports全国大学選手権～ YoutubeとTwitchでも配信中📺 是非ご覧ください✨ youtube.com/live/ux5ihWY5-… twitch.tv/mynaviecolle

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basilegrc @basilegrc

3 years ago

is this "vivre dans une saucisse"

No Context French 🇫🇷 @nocontextfra

3 years ago

is this "vivre dans une saucisse"

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basilegrc @basilegrc

3 years ago

PsyArXiv-bot @PsyArXivBot

3 years ago

https://t.co/1fLuXBpRL1

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Nature Human Behaviour @NatureHumBehav

3 years ago

Standard decision models assume that all options are encoded on a common scale by a unique representation system. Garcia et al. provide evidence that challenges this assumption: participants treat experiential and symbolic options asymmetrically. buff.ly/3icWfta