arXiv (All)
open access
JustGoal: With Only a Goal, the AI Baseline Is Above the Expert Kernels
A small number of GPU kernels often determines the efficiency of large language model training and inference. High-performance kernel development typically relies on expert knowledge through manual implementation, collaboration with general-purpose models, or specialized agents equipped with domain
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- AttnFuse: A Composable DSL for Compiling Attentions to Fused GPU Kernels#1071386
- openai/frontierscience#786893
- KernelOPT: Dispatch-Aware Agentic Search for GPU Kernel Optimization#1078130
- PotARCin: Multi-Dimensional Evaluation of Skill Acquisition in Abstract Reasoning Tasks#1063499
- Not Another Text Benchmark: Putting the "Visual" Back in Visual Question Answering for Large Video Models#1123503
Record · ID 1467758
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive