Research / Survey / Literature Hub
A research hub for the paper and survey "Toward Efficient Agents: A Survey of Memory, Tool learning, and Planning," with organized paper navigation across memory, tool learning, and planning topics.
The page clearly presents an AI research project focused on efficient agents, with a specific survey scope, abstract, paper links, and a structured literature index. It has enough visible content to support a public listing for researchers or builders looking for agent efficiency references.
The crawl only shows the survey overview and paper list; it does not show downloadable resources, code, update status, or a clear way to use the site beyond browsing references.
Last evaluated 6 days ago. Current rank #2363. Up 1 spot in the rankings.
Primus is an autonomous AI researcher that hypothesizes, reads papers, writes code, runs experiments on compute, and drafts research papers. The page shows example tasks, published-paper claims, waitlist access, and positioning for ML research workflows.
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.
