Hubert Plisiecki
@hplisiecki.bsky.social
Exploring the latent space of human experience.
Here to meet cool people and share my findings.
Follow to see cool NLP papers
#Psychology #AI
#OpenScience #NLP
Here to meet cool people and share my findings.
Follow to see cool NLP papers
#Psychology #AI
#OpenScience #NLP
For all #Severance fans out there.
Baldwin, A. L. (1942). Personal structure analysis: A statistical method for investigating the single personality. The Journal of Abnormal and Social Psychology, 37(2), 163–183. doi.org/10.1037/h006...
Baldwin, A. L. (1942). Personal structure analysis: A statistical method for investigating the single personality. The Journal of Abnormal and Social Psychology, 37(2), 163–183. doi.org/10.1037/h006...
March 21, 2025 at 9:29 PM
For all #Severance fans out there.
Baldwin, A. L. (1942). Personal structure analysis: A statistical method for investigating the single personality. The Journal of Abnormal and Social Psychology, 37(2), 163–183. doi.org/10.1037/h006...
Baldwin, A. L. (1942). Personal structure analysis: A statistical method for investigating the single personality. The Journal of Abnormal and Social Psychology, 37(2), 163–183. doi.org/10.1037/h006...
Researchers have to realize the risks of using black box models and take robust measures to strengthen the validity of their conclusions.
Our Paper "𝗛𝗶𝗴𝗵 𝗿𝗶𝘀𝗸 𝗼𝗳 𝗽𝗼𝗹𝗶𝘁𝗶𝗰𝗮𝗹 𝗯𝗶𝗮𝘀 𝗶𝗻 𝗯𝗹𝗮𝗰𝗸 𝗯𝗼𝘅 𝗲𝗺𝗼𝘁𝗶𝗼𝗻 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗺𝗼𝗱𝗲𝗹𝘀" has just been published in Scientific Reports
Our Paper "𝗛𝗶𝗴𝗵 𝗿𝗶𝘀𝗸 𝗼𝗳 𝗽𝗼𝗹𝗶𝘁𝗶𝗰𝗮𝗹 𝗯𝗶𝗮𝘀 𝗶𝗻 𝗯𝗹𝗮𝗰𝗸 𝗯𝗼𝘅 𝗲𝗺𝗼𝘁𝗶𝗼𝗻 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗺𝗼𝗱𝗲𝗹𝘀" has just been published in Scientific Reports
February 19, 2025 at 11:42 AM
Researchers have to realize the risks of using black box models and take robust measures to strengthen the validity of their conclusions.
Our Paper "𝗛𝗶𝗴𝗵 𝗿𝗶𝘀𝗸 𝗼𝗳 𝗽𝗼𝗹𝗶𝘁𝗶𝗰𝗮𝗹 𝗯𝗶𝗮𝘀 𝗶𝗻 𝗯𝗹𝗮𝗰𝗸 𝗯𝗼𝘅 𝗲𝗺𝗼𝘁𝗶𝗼𝗻 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗺𝗼𝗱𝗲𝗹𝘀" has just been published in Scientific Reports
Our Paper "𝗛𝗶𝗴𝗵 𝗿𝗶𝘀𝗸 𝗼𝗳 𝗽𝗼𝗹𝗶𝘁𝗶𝗰𝗮𝗹 𝗯𝗶𝗮𝘀 𝗶𝗻 𝗯𝗹𝗮𝗰𝗸 𝗯𝗼𝘅 𝗲𝗺𝗼𝘁𝗶𝗼𝗻 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗺𝗼𝗱𝗲𝗹𝘀" has just been published in Scientific Reports
New BSky Update: fake accounts
@jaceksutryk.bsky.social is an account of "supposedly" the president of Polish city Wroclaw, which added me here just after I posted my handle to one of Polish political shitposting groups. Beware who you follow. The high trust society we are building might backfire.
@jaceksutryk.bsky.social is an account of "supposedly" the president of Polish city Wroclaw, which added me here just after I posted my handle to one of Polish political shitposting groups. Beware who you follow. The high trust society we are building might backfire.
November 28, 2024 at 12:59 PM
New BSky Update: fake accounts
@jaceksutryk.bsky.social is an account of "supposedly" the president of Polish city Wroclaw, which added me here just after I posted my handle to one of Polish political shitposting groups. Beware who you follow. The high trust society we are building might backfire.
@jaceksutryk.bsky.social is an account of "supposedly" the president of Polish city Wroclaw, which added me here just after I posted my handle to one of Polish political shitposting groups. Beware who you follow. The high trust society we are building might backfire.
It's obviously true that humans are biased - otherwise m there would be no bias in ML models. More so, in some cases the latter bias is even recommended. But in most cases an unbiased model is what we want.
Read more to know when bias is a feature, and when it is a bug.
🧶🐈
Read more to know when bias is a feature, and when it is a bug.
🧶🐈
November 25, 2024 at 12:12 AM
It's obviously true that humans are biased - otherwise m there would be no bias in ML models. More so, in some cases the latter bias is even recommended. But in most cases an unbiased model is what we want.
Read more to know when bias is a feature, and when it is a bug.
🧶🐈
Read more to know when bias is a feature, and when it is a bug.
🧶🐈
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🚨 Introducing Semantic Blinding 🚨
What if AI could analyze text without inheriting biases from its training data? Enter Semantic Blinding, a novel method to remove biases like political or gender bias in sentiment analysis. Here’s how it works: 🧵
🚨 Introducing Semantic Blinding 🚨
What if AI could analyze text without inheriting biases from its training data? Enter Semantic Blinding, a novel method to remove biases like political or gender bias in sentiment analysis. Here’s how it works: 🧵
November 22, 2024 at 2:05 PM
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🚨 Introducing Semantic Blinding 🚨
What if AI could analyze text without inheriting biases from its training data? Enter Semantic Blinding, a novel method to remove biases like political or gender bias in sentiment analysis. Here’s how it works: 🧵
🚨 Introducing Semantic Blinding 🚨
What if AI could analyze text without inheriting biases from its training data? Enter Semantic Blinding, a novel method to remove biases like political or gender bias in sentiment analysis. Here’s how it works: 🧵
Budapest is an amazing city (and has a lot of my favorite Art Nouveau architectural diamonds like the Párisi Udvar seen on the pictures)
It was a pleasure to take part in the 2nd Budapest Methods Workshop on LLMs. Thanks @miklossebok.bsky.social for invitation ;)
It was a pleasure to take part in the 2nd Budapest Methods Workshop on LLMs. Thanks @miklossebok.bsky.social for invitation ;)
November 22, 2024 at 1:26 PM
Budapest is an amazing city (and has a lot of my favorite Art Nouveau architectural diamonds like the Párisi Udvar seen on the pictures)
It was a pleasure to take part in the 2nd Budapest Methods Workshop on LLMs. Thanks @miklossebok.bsky.social for invitation ;)
It was a pleasure to take part in the 2nd Budapest Methods Workshop on LLMs. Thanks @miklossebok.bsky.social for invitation ;)
the word-level emotion, coupled with syntactic information extracted using SpaCy. The GNN then propagates the emotion throughout the sentence syntactic graph, and makes predictions.
The technique is explainable, and super light weight (20 times smaller than transformers!)
The technique is explainable, and super light weight (20 times smaller than transformers!)
November 20, 2024 at 9:15 AM
the word-level emotion, coupled with syntactic information extracted using SpaCy. The GNN then propagates the emotion throughout the sentence syntactic graph, and makes predictions.
The technique is explainable, and super light weight (20 times smaller than transformers!)
The technique is explainable, and super light weight (20 times smaller than transformers!)
EXTREMELY Excited to share my latest preprint "Bias Free Sentiment Analysis" where i have solved the problem of bias in deep learning SA models. Using the principle of semantic blinding I construct the Semantic Propagation Graph Neural Network which makes predictions based on...
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November 20, 2024 at 9:15 AM
EXTREMELY Excited to share my latest preprint "Bias Free Sentiment Analysis" where i have solved the problem of bias in deep learning SA models. Using the principle of semantic blinding I construct the Semantic Propagation Graph Neural Network which makes predictions based on...
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From my recent research on vector representation of emotions: PCA on emotion vectors recovers the classical dimensions of affect (valence, arousal etc.)
November 18, 2024 at 6:22 PM
From my recent research on vector representation of emotions: PCA on emotion vectors recovers the classical dimensions of affect (valence, arousal etc.)