Can Demircan
@candemircan.bsky.social
phd student in Munich, working on machine learning and cognitive science
Reposted by Can Demircan
LLMs have shown impressive performance in some reasoning tasks, but what internal mechanisms do they use to solve these tasks? In a new preprint, we find evidence that abstract reasoning in LLMs depends on an emergent form of symbol processing arxiv.org/abs/2502.20332 (1/N)
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
Many recent studies have found evidence for emergent reasoning capabilities in large language models, but debate persists concerning the robustness of these capabilities, and the extent to which they ...
arxiv.org
March 10, 2025 at 7:08 PM
LLMs have shown impressive performance in some reasoning tasks, but what internal mechanisms do they use to solve these tasks? In a new preprint, we find evidence that abstract reasoning in LLMs depends on an emergent form of symbol processing arxiv.org/abs/2502.20332 (1/N)
Reposted by Can Demircan
Every experience is unique 🌟 light shifts, angles change, yet we recognize objects effortlessly. How do our minds do this? And (how) do they differ from machines? In our new preprint with @ericschulz.bsky.social, we review human generalization and compare it to machine generalization: osf.io/k6ect
February 28, 2025 at 1:01 PM
Every experience is unique 🌟 light shifts, angles change, yet we recognize objects effortlessly. How do our minds do this? And (how) do they differ from machines? In our new preprint with @ericschulz.bsky.social, we review human generalization and compare it to machine generalization: osf.io/k6ect
Reposted by Can Demircan
About a month late posting this, but here's a new project with @ericschulz.bsky.social, @akjagadish.bsky.social, @marvinmathony.bsky.social and Tobias Ludwig
We are using LLMs to propose cognitive models in learning and decision making data. Presenting this work at RLDM!
arxiv.org/abs/2502.00879
We are using LLMs to propose cognitive models in learning and decision making data. Presenting this work at RLDM!
arxiv.org/abs/2502.00879
Towards Automation of Cognitive Modeling using Large Language Models
Computational cognitive models, which formalize theories of cognition, enable researchers to quantify cognitive processes and arbitrate between competing theories by fitting models to behavioral data....
arxiv.org
February 26, 2025 at 10:08 AM
About a month late posting this, but here's a new project with @ericschulz.bsky.social, @akjagadish.bsky.social, @marvinmathony.bsky.social and Tobias Ludwig
We are using LLMs to propose cognitive models in learning and decision making data. Presenting this work at RLDM!
arxiv.org/abs/2502.00879
We are using LLMs to propose cognitive models in learning and decision making data. Presenting this work at RLDM!
arxiv.org/abs/2502.00879
Reposted by Can Demircan
In previous work we found that VLMs fall short of human visual cognition. To make them better, we fine-tuned them on visual cognition tasks. We find that while this improves performance on the fine-tuning task, it does not lead to models that generalize to other related tasks:
February 25, 2025 at 10:45 AM
In previous work we found that VLMs fall short of human visual cognition. To make them better, we fine-tuned them on visual cognition tasks. We find that while this improves performance on the fine-tuning task, it does not lead to models that generalize to other related tasks:
Reposted by Can Demircan
We are currently building the largest, cross-domain data set of human behavior as part of an open collaborative project. Contributions of any form are welcome, but especially experiments with meta-data from developmental, cross-cultural, or clinical studies.
More details: github.com/marcelbinz/P...
More details: github.com/marcelbinz/P...
GitHub - marcelbinz/Psych-201
Contribute to marcelbinz/Psych-201 development by creating an account on GitHub.
github.com
January 27, 2025 at 12:43 PM
We are currently building the largest, cross-domain data set of human behavior as part of an open collaborative project. Contributions of any form are welcome, but especially experiments with meta-data from developmental, cross-cultural, or clinical studies.
More details: github.com/marcelbinz/P...
More details: github.com/marcelbinz/P...
Reposted by Can Demircan
In the first paper, @candemircan.bsky.social and @tankred-saanum.bsky.social use sparse autoencoders to show that LLMs can implement temporal difference learning in context. This work is together with Akshay Jagadish and @marcelbinz.bsky.social.
arxiv.org/abs/2410.01280
Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models
In-context learning, the ability to adapt based on a few examples in the input prompt, is a ubiquitous feature of large language models (LLMs). However, as LLMs' in-context learning abilities continue...
arxiv.org
January 22, 2025 at 8:09 PM
In the first paper, @candemircan.bsky.social and @tankred-saanum.bsky.social use sparse autoencoders to show that LLMs can implement temporal difference learning in context. This work is together with Akshay Jagadish and @marcelbinz.bsky.social.
arxiv.org/abs/2410.01280
Alignment is more than comparing similarity judgments! How well do pretrained neural networks align with humans in few-shot learning settings? Come check our poster #3904 at #NeurIPS on Wednesday to find out
December 10, 2024 at 3:39 PM
Alignment is more than comparing similarity judgments! How well do pretrained neural networks align with humans in few-shot learning settings? Come check our poster #3904 at #NeurIPS on Wednesday to find out
Reposted by Can Demircan
🚨Join our team! We’re hiring a PhD student in Cognitive & Clinical Neuroscience 🧠 🎓 at @uni_wue & @UKW_Wuerzburg! Explore mechanisms of decision-making in healthy people & Parkinson’s using new deep brain stimulation methods. German & English required. Apply by 20 Dec! 🌟🎄
Details: shorturl.at/IcNa0
Details: shorturl.at/IcNa0
PhD_Wessel_Garvert.pdf
shorturl.at
December 3, 2024 at 11:48 AM
🚨Join our team! We’re hiring a PhD student in Cognitive & Clinical Neuroscience 🧠 🎓 at @uni_wue & @UKW_Wuerzburg! Explore mechanisms of decision-making in healthy people & Parkinson’s using new deep brain stimulation methods. German & English required. Apply by 20 Dec! 🌟🎄
Details: shorturl.at/IcNa0
Details: shorturl.at/IcNa0