Crossing Linguistic Horizons

Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models

Fairness-Aware Sentiment Analysis Leaderboard

Models VLSP 2016 UiT-VSFC
AC↑ F1↑ AR↑ ECE↓ A@10↑ AC↑ F1↑ AR↑ ECE↓ A@10↑
URA-LLaMa 70B 0.65 ± 0.01 0.49 ± 0.01 0.58 ± 0.01 0.13 ± 0.01 0.77 ± 0.04 0.76 ± 0.01 0.48 ± 0.01 0.61 ± 0.01 0.17 ± 0.01 0.66 ± 0.03
URA-LLaMa 13B 0.59 ± 0.01 0.57 ± 0.01 0.62 ± 0.01 0.07 ± 0.01 0.83 ± 0.04 0.75 ± 0.01 0.46 ± 0.08 0.83 ± 0.01 0.11 ± 0.01 0.88 ± 0.02
URA-LLaMa 7B 0.74 ± 0.02 0.39 ± 0.06 0.83 ± 0.01 0.21 ± 0.02 0.98 ± 0.02 0.73 ± 0.01 0.73 ± 0.01 0.78 ± 0.01 0.13 ± 0.01 0.94 ± 0.01
LLaMa-2 13B 0.51 ± 0.01 0.1 ± 0.06 0.56 ± 0.01 0.32 ± 0.02 0.79 ± 0.04 0.63 ± 0.01 0.41 ± 0.02 0.70 ± 0.01 0.13 ± 0.01 0.89 ± 0.02
LLaMa-2 7B 0.45 ± 0.02 0.34 ± 0.01 0.53 ± 0.01 0.26 ± 0.02 0.50 ± 0.0 0.51 ± 0.01 0.55 ± 0.01 0.68 ± 0.01 0.22 ± 0.01 0.64 ± 0.03
Vietcuna 7B 0.04 ± 0.01 0.04 ± 0.01 0.49 ± 0.01 0.71 ± 0.01 0.05 ± 0.02 0.03 ± 0.00 0.03 ± 0.00 0.55 ± 0.01 0.50 ± 0.00 0.01 ± 0.01
MixSUra 8x7B 0.62 ± - 0.62 ± - 0.59 ± - 0.30 ± - 0.59 ± - 0.74 ± - 0.46 ± - 0.61 ± - 0.24 ± - 0.66 ± -
Gemini Pro 0.67 ± - 0.50 ± - - 0.34 ± - 0.59 ± - 0.79 ± - 0.50 ± - - 0.46 ± - 0.82 ± -
GPT-3.5 0.66 ± 0.01 0.60 ± 0.01 - 0.33 ± 0.01 0.52 ± 0.05 0.86 ± 0.01 0.71 ± 0.01 - 0.52 ± 0.01 0.86 ± 0.02
GPT-4 0.75 ± 0.01 0.74 ± 0.01 - 0.41 ± 0.00 0.73 ± 0.04 0.85 ± 0.01 0.71 ± 0.01 - 0.52 ± 0.01 0.87 ± 0.02