Derived from arXiv:2605.23032 - Brain-LLM Alignment Tracks Training Data, Not Typology
Scanned 9/11/2026
Install to Claude Code
npx -y skills add hiyenwong/ai_collection --skill brain-llm-alignment-tracks-training-data-not-typol --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Brain Llm Alignment Tracks Training Data Not Typol?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/hiyenwong-brain-llm-alignment-tracks-training-data-not-typol)More formats (shields.io, HTML) on the badges page.
# Brain-LLM Alignment Tracks Training Data, Not Typology
Derived from arXiv:2605.23032 - Brain-LLM Alignment Tracks Training Data, Not Typology
## Core Concept
Brain-LLM alignment is well established in English, yet the brain's language network is neuroanatomically universal across languages. Does alignment also generalize cross-linguistically, and what governs the variation? We test this using fMRI data from 112 participants across English, Chinese, and French (the Le Petit Prince corpus) and seven LLMs spanning English-dominant, Chinese-dominant, and multilingual architectures. Our central finding is that training-language dominance, not an inherent ...
## Key Insights
- Derived from arXiv:2605.23032
- Published: 2026-05-21
- Utility Score: 1.00
- Authors: Dongxin Guo, Jikun Wu, Siu Ming Yiu
## Activation
brain-llm-alignment-tracks-training-data-not-typol, 2605.23032
## References
- arXiv: https://arxiv.org/abs/2605.23032
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
This skill provides comprehensive analysis of competitor SEO and GEO strategies, revealing what's working in your market and identifying opportunities to outperform the competition.
Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review...
Use when an operation issue is a Paperclip cursor-window, distill, or backfill — `operationType: "distill"` or `"backfill"` and the body references a Paperclip source bundle for a project or root issue. Turn raw Paperclip activity into a wiki-insightful project page, decisions log, and history note. This skill exists specifically to replace the stiff, datestamp-heavy templated output that the deterministic distiller produces.
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publi...
Semantic search, similar content discovery, and structured research using Exa API