Unverified50% confidenceFactExact time
EffiBench is a benchmark for evaluating the efficiency of code generated by large models, containing 1000 programming problems, each paired with a performance-optimized human reference implementation and annotated with efficiency metrics such as execution time and memory usage.
1
Sources
50%
Confidence
Long-term
Relevance
10/26/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedSlopCodeBench is a benchmark for code generation tasks that uses a checkpoint mechanism to evaluate whether model outputs satisfy a series of functional and quality requirements.71% similarUnverifiedAlexBench is an automated evaluation collection focused on agentic tasks and real workflows, emphasizing end-to-end completion and clearly dependent on the test harness.67% similarUnverifiedThe Prism benchmark focuses on measuring the real-world usability of AI coding agents in end-to-end tasks, typically including sub-tasks such as code generation, debugging, and cross-file modification.67% similarUnverifiedEICS (Evaluation-Invariant Concept Stability) is a metric for probing representations that tests whether a model's representations can consistently encode a target concept through controlled single-concept interventions67% similarUnverified鸿蒙自动化测试是典型长链路任务，涉及跨领域知识融合、强依赖性和反馈循环，链路从读取需求到测试用例设计、脚本执行、输出测试报告67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1098284API
curl https://kongchang.com/api/v1/knowledge/claims/1098284MCP
get_claim(id=1098284)