Abel Jansma

@abelaer.bsky.social

Compositionality in natural and artificial intelligence || Fellow @emergenceDIEP, University of Amsterdam

New paper alert 🚨 “A Compositional Calculus for Semantic Synergy in Language Model Embeddings” A training-free way to extract synergy from LLM embedding vectors. 🧵

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A few months ago I started discussing causal emergence with Erik Hoel. This led to a really fun collaboration, and a new approach to “engineer emergence”. Erik just published an overview of the ideas, goals, and dreams:

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Many sea stars begin life as young fairy-like creature (called a brachiolaria) that float through the open ocean. Eventually, a small star forms within them (here in yellow). The fairy-like brachiolaria sinks under the star’s weight, and the star pops out! 🎥@the_story_of_a_biologist (on Insta)

This is how Rota originally introduced the incidence algebra. Everyone since has (correctly) required the ring to be commutative. Did people in the '60s just refer to commutative rings as associative rings?

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Just to balance out the discourse: the #NeurIPS2025 review process for this paper went great. Fair reviews, mostly responsive reviewers, and a thoughtful AC that caught a possible conflict of interest. Definitely improved the paper.

Abel Jansma@abelaer.bsky.social · 11mo ago

The #NeurIPS2025 version is now online: arxiv.org/pdf/2501.11447 It includes a new analysis to show that LLM semantics can be decomposed: the negativity of "horribly bad" is redundantly encoded in the two words, whereas "not bad" has synergistic semantics (i.e. negation):

The #NeurIPS2025 version is now online: arxiv.org/pdf/2501.11447 It includes a new analysis to show that LLM semantics can be decomposed: the negativity of "horribly bad" is redundantly encoded in the two words, whereas "not bad" has synergistic semantics (i.e. negation):

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Abel Jansma@abelaer.bsky.social · 2y ago

🚨New paper! The “partial causality decomposition” When many things influence an outcome, how to distinguish individual vs collective #causality? A framework to disentangle these complex relationships into synergistic, redundant, and unique components: arxiv.org/abs/2501.11447 🧵

The "partial causality decomposition" was just accepted for a spotlight at #NeurIPS2025! The final version includes a decomposition of LLM semantics---the Arxiv version should be updated soon. Stay tuned!

Abel Jansma@abelaer.bsky.social · 2y ago

🚨New paper! The “partial causality decomposition” When many things influence an outcome, how to distinguish individual vs collective #causality? A framework to disentangle these complex relationships into synergistic, redundant, and unique components: arxiv.org/abs/2501.11447 🧵

Very excited that this is now published: Stator is a new method to infer higher-order interactions in gene expression data, which reveals cell states and types without clustering! It's an "intersectional" approach to cellular identity: cells can have multiple identities--states are not disjoint!

Chris Ponting@cgatist.bsky.social · 2y ago

📢Now published! Know that clustering cells in reduced dimensions is problematic? Want to identify cell subtypes or states *without* clustering? Then check out Stator which finely resolves states & subtypes even among apparently homogeneous cells Thread www.embopress.org/doi/full/10....