Verified71%Harbor: pendingKnowledge & ReasoningInstruction Following

CL-bench Life

CL-bench Life: Can Language Models Learn from Real-Life Context?

How to run

ltb · cl-bench-life
$ npm i -g lettokenburn-cli
$ ltb bench info cl-bench-life

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

14 sourced entries
HarnessSourceConfidenceLink
GPT-5.522.2N/AIndependentlowN/Aepoch.ai
GPT-5.421.7N/AIndependentlowN/Aepoch.ai
GPT-5.117.3N/AIndependentlowN/Aepoch.ai
Claude Opus 4.617.0N/AIndependentlowN/Aepoch.ai
Gemini 3.1 Pro16.9N/AIndependentlowN/Aepoch.ai
DeepSeek V4 Pro13.5N/AIndependentlowN/Aepoch.ai
Kimi K2.513.2N/AIndependentlowN/Aepoch.ai
Qwen3.5 Plus12.4N/AIndependentlowN/Aepoch.ai
Grok 4.2011.9N/AIndependentlowN/Aepoch.ai
zai-org/GLM-4.710.9N/AIndependentlowN/Aepoch.ai
DeepSeek V3.29.5N/AIndependentlowN/Aepoch.ai
DeepSeek V3.27.4N/AIndependentlowN/Aepoch.ai
MiMo V2 Pro6.9N/AIndependentlowN/Aepoch.ai
MiniMax M2.56.3N/AIndependentlowN/Aepoch.ai

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

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About

CL-bench Life: Can Language Models Learn from Real-Life Context?

Dataset Description

CL-bench Life extends context learning evaluation to real-life scenarios. Unlike professional/domain-specific benchmarks, CL-bench Life contexts are messy, fragmented, and grounded in everyday experience, reflecting the kind of data people actually deal with daily. CL-bench Life is part of the CL-bench family of benchmarks for context learning.

Dataset Statistics

Total…