✨CL-bench: A Benchmark for Context Learning
📝 Summary:
Current LMs struggle with context learning, requiring new knowledge and reasoning beyond pre-training. The CL-bench, a new real-world benchmark, reveals models solve only 17.2 percent of tasks, showing a critical bottleneck for complex real-world applications.
🔹 Publication Date: Published on Feb 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.03587
• PDF: https://arxiv.org/pdf/2602.03587
• Project Page: https://www.clbench.com
• Github: https://github.com/Tencent-Hunyuan/CL-bench
✨ Datasets citing this paper:
• https://huggingface.co/datasets/tencent/CL-bench
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#ContextLearning #LanguageModels #AIBenchmark #NLP #AIResearch
📝 Summary:
Current LMs struggle with context learning, requiring new knowledge and reasoning beyond pre-training. The CL-bench, a new real-world benchmark, reveals models solve only 17.2 percent of tasks, showing a critical bottleneck for complex real-world applications.
🔹 Publication Date: Published on Feb 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.03587
• PDF: https://arxiv.org/pdf/2602.03587
• Project Page: https://www.clbench.com
• Github: https://github.com/Tencent-Hunyuan/CL-bench
✨ Datasets citing this paper:
• https://huggingface.co/datasets/tencent/CL-bench
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#ContextLearning #LanguageModels #AIBenchmark #NLP #AIResearch