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Job-skill Extraction on SAYFULLINA

78.66Precision

SRICL-Qwen2.5-14B (Our method)

Updated 1mo ago

Evaluation Results

Method	Links
SRICL-Qwen2.5-14B (Our method) 2026.04		78.66	81.72	80.16
SRICL-Qwen2.5-14B (Our method) 2026.04		61.3	61.07	61.18
5-shot 2026.04		57.94	52.31	26.64
+kNN+specific 2026.04		44.91	55.09	49.48
+kNN 2026.04		42.1	50.71	46.01
Qwen2.5 (5-shot + kNN + data-specific prompt) 2026.04		36.57	56.84	44.51
5-shot 2026.04		30.35	36.88	33.2
GPT-3.5 Version (+kNN+specific) 2026.04		29.8	47.3	36.6
+kNN+specific 2026.04		26.6	32.63	29.31
+kNN 2026.04		24.97	30.08	27.29
Llama-3-8B-SRICL(B8-Our Method) 2026.04		22.15	29.03	25.13
Qwen2.5 (5-shot + kNN + data-specific prompt) 2026.04		18.44	28.54	22.41
Llama-3-8B (SRICL- Our Method) 2026.04		18.44	28.54	22.41
zero-shot+specific (GPT-3.5) 2026.04		5.11	3.42	4.1
zero-shot+specific (GPT-3.5) 2026.04		3.08	11.94	4.9