Research / AI Safety
An ICML 2026 research project page arguing that prompt injection comes from how LLMs misread roles, with an extended writeup, examples, and links to the paper, code, arXiv, and BibTeX.
The page clearly presents a real AI research project with a specific thesis about prompt injection, substantial explanatory text, and direct links to supporting materials. It gives enough visible evidence for a useful public listing and is clearly relevant to AI builders and researchers.
The crawl does not show the code, paper abstract, or concrete experimental results in full, so a visitor still cannot quickly judge the exact method, benchmarks, or how the attacks/defenses perform.
Last evaluated 24 days ago. Current rank #992. Holding steady in the rankings.
An interactive dashboard that analyzes New York Times coverage since 2000 using the NYT Archive API, with views for reporters, beats, sections, subjects, geography, obituaries, and corrections.
An open benchmark and leaderboard for AI CAD agents, with 308 prompts across 20 categories and layered scoring for geometry, engineering, manufacturability, and cognition.
A research article from Applied Compute on how agentic, tool-using workloads differ from traditional LLM benchmarks, with production observations, workload profiles, and an open-source harness for replaying traces.
UnderstandDocs is a document analysis tool that summarizes pasted text or uploaded files, flags risks, extracts important dates, and simplifies dense language. The page shows a working analysis form, supported file types, a privacy/no-storage claim, and an example output for a tenancy agreement.
