AI Research / Content Detection
An arXiv paper on detecting AI-generated commercial web content from structural signals rather than word-level text alone. The abstract reports a high-performing detector, attribution results, and released code and artifacts.
The page clearly describes an AI research project with a concrete method, evaluation results, and released pipeline/code/artifacts. It is useful for people tracking AI content detection and provides enough evidence for a public listing.
The crawl only shows the abstract page, so visitors cannot see the full paper, the actual code repository, or whether the released artifacts are easy to reuse.
Last evaluated 22 days ago. Current rank #2389. Up 1 spot in the rankings.
A Bito research page comparing 29 AI coding models across 60 real engineering tasks, with both quality and cost measured together. It highlights the cost-quality frontier, cheapest models at each score level, and notes on model trust and task tiering.
An autonomous research system that runs on a single workstation and aggressively checks its own claims with adversarial self-verification, replication, and calibration audits.
An MCP-based research agent that searches live web data through SQL and publishes reports with the full query and tool trajectory.
Uno is a research repository for speeding up LLM inference with discrete diffusion and lossless multi-token decoding. The repo includes inference, training, and evaluation code, plus installation steps, checkpoints, and example workflows.
