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Posts

Past and Future: Bayes

1 minute read

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All About Tensor-II Methods and Applications

1 minute read

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Markov Logic

1 minute read

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What is Lorem Ipsum? Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum. Read more

Human Reasoning

1 minute read

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What is Lorem Ipsum? Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum. Read more

portfolio

publications

Query-Conditioned Active Causal World Models for Language Agents

M. Emre Bilgin

conference 2026

tldr  LLM agents should not answer causal questions immediately when the necessary evidence is missing. We propose a query-conditioned causal agent that first asks: Do I have enough evidence to answer this specific causal question? If not, it selects the most useful next action—observe, intervene, retrieve, ask, or simulate—to reduce uncertainty about the target answer. The goal is not to learn the whole causal graph, but to gather just enough causal evidence to answer well.

PDF Website GitHub arXiv

Information Decomposition Shapes Human Reasoning

M. Emre Bilgin

conference 2026

tldr  This study examines whether people, when making decisions under uncertainty, are sensitive not only to the question “How much evidence is there?” but also to how the evidence is organized. Initial pilot findings suggest that redundant information is utilized more directly, while synergistic information is more difficult to process but becomes actionable once connections are established. In short: What matters in reasoning is not just the amount of information, but its architecture.

PDF Website GitHub arXiv

A Partially Shared Latent Neural Space for Deductive Reasoning

M. Emre Bilgin

conference 2026

tldr  Most reasoning fMRI studies ask which brain regions activate. This project asks a different question: can trial-wise brain activity during reasoning be explained by a small number of latent neural factors? We compare syllogistic and transitive reasoning, estimate ROI-level activity for each trial, and use PCA/factor analysis to search for stable low-dimensional structure. Functional connectivity is used as a complementary check: do these latent factors reflect coordinated network activity?

PDF Website GitHub arXiv

Beyond Final Answers: Information-Architecture Blindness in LLM Belief Updating

M. Emre Bilgin

conference 2026

tldr  Final-answer accuracy can hide important failures in LLM reasoning. We introduce a human-grounded, Bayesian-referenced benchmark showing that many LLMs fail to update their beliefs at the right time and for the right kind of evidence. We call this failure mode information-architecture blindness: weak sensitivity to whether evidence is carried by individual cues or by relations between cues.

PDF Website GitHub arXiv

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post. Read more

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post. Read more