yava-code/portfolio-assets
72.8 kB
Varfolomii
yava-code
·
AI & ML interests
None yet
Recent Activity
upvoted an article 6 days ago
AI Authorship Signals Are Review Prompts, Not Verdicts published an article 6 days ago
AI Authorship Signals Are Review Prompts, Not Verdicts posted an update 6 days ago
published a small source-backed dataset for reviewing AI-assisted code and AI-written English without turning it into an accusation game.
Dataset: https://huggingface.co/datasets/yava-code/ai-authorship-signals-2026
The dataset has 10 review signals across two domains:
code: comment-to-code ratio, dependency hallucination, security misses, edge cases
writing: overused AI vocabulary, low section variation, detector bias against non-native English
Each row includes:
signal
why it matters
risk level
review action
source ids
The main idea: do not ask "was this made by AI?" first. Ask what needs review, what evidence exists, and what failure mode would hurt production.
I also grouped the related work here:
https://huggingface.co/collections/yava-code/applied-small-ai-portfolio-6a304c83f9f1d089a28c101bOrganizations
Posts 1
Post
89
published a small source-backed dataset for reviewing AI-assisted code and AI-written English without turning it into an accusation game.
Dataset: yava-code/ai-authorship-signals-2026
The dataset has 10 review signals across two domains:
code: comment-to-code ratio, dependency hallucination, security misses, edge cases
writing: overused AI vocabulary, low section variation, detector bias against non-native English
Each row includes:
signal
why it matters
risk level
review action
source ids
The main idea: do not ask "was this made by AI?" first. Ask what needs review, what evidence exists, and what failure mode would hurt production.
I also grouped the related work here:
yava-code/applied-small-ai-portfolio-6a304c83f9f1d089a28c101b
Dataset: yava-code/ai-authorship-signals-2026
The dataset has 10 review signals across two domains:
code: comment-to-code ratio, dependency hallucination, security misses, edge cases
writing: overused AI vocabulary, low section variation, detector bias against non-native English
Each row includes:
signal
why it matters
risk level
review action
source ids
The main idea: do not ask "was this made by AI?" first. Ask what needs review, what evidence exists, and what failure mode would hurt production.
I also grouped the related work here:
yava-code/applied-small-ai-portfolio-6a304c83f9f1d089a28c101b
Articles 1
Article
1
AI Authorship Signals Are Review Prompts, Not Verdicts
spaces 4
Sleeping
Agents
EuroSAT Field Scout
🛰
Classify satellite images into land‑use categories
Running
Agents
1
kimi-coder-135m
🤖
Generate code from natural language prompts
Sleeping
Agents
Question Complexity
👁
Predict the complexity of any question
Sleeping
Agents
Eurostat
💻
Classify satellite images into land‑use categories