HeyJaredJournal Club
The latest academic research, explained in plain English. Each episode covers a single journal article, preprint or whitepaper. We focus on Machine Learning (ML), Artificial Intelligence (AI), compute infrastructure and general programming.
- Indexed episodes, last 90 days
- 5
- Latest publication
- Aug 23, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 4, 2026
Latest episodes
Deductive Logic in Language Models: Horizontal vs. Vertical Reasoning (opens the original)
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Today's article comes from the journal of Machine Learning and Knowledge Extraction. The authors are Maltoni et al., from the University of Bologna, in Italy. In this paper, They want to know two things: How a transformer actually implements multi-step deductive reasoning internally. And whether that computation differs when the reasoning happens through generated intermediate tokens versus through the model's layers.
Ultra-high bit density liquid-state colloidal memory (opens the original)
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Today's article comes from the journal of Memories - Materials, Devices, Circuits and Systems. The authors are Shih et al., from Imec, in Belgium. In this paper they're showcasing a new type of computer memory. It works by storing binary information as ordered chains of two different nanoparticle types inside billions of liquid-filled nanocapillaries.
Human–machine teaming for leisure motorboat layout design (opens the original)
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Today's article comes from the journal of Data-Centric Engineering. The authors are Savasta et al., from the Olesinki firm, in the United Kingdom. In this paper they're taking a new algorithmic approach to motorboat design. Whereas a normal process might need to solve for geometric fit, adjacency, or accessibility, these designers also need to consider something that is much trickier to codify: visual aesthetics.
The ballad of LLM agents: philosophical reasoning for chemistry (opens the original)
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Today's article comes from the journal of Machine Learning: Science and Technology. The authors are Harb et al., from Argonne National Laboratory, in Illinois. In this paper, they're showcasing a new prompt-level reasoning enhancement framework, that they claim can improve LLM performance on ChemBench by several percentage points.
DeepSeek-Lattice-KG: A Compact Language Model With Knowledge Graph Augmentation for Lattice Structure Design (opens the original)
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Today's article comes from the journal of Materials Genome Engineering Advances. The authors are Shu et al., from Xi'an Jiaotong University, in China. In this paper, they've taken DeepSeek-R1 and fine-tuned it for a very specific task: lattice-structure design.
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