List your company

Reading Comprehension on RC

76.5AccuracyYi
28.6641.0853.565.92Mar 7, 2024Mar 24, 2024Apr 10, 2024Apr 28, 2024May 15, 2024Jun 1, 2024Jun 19, 2024

Evaluation results

MethodLinks
YiSize=34B2024.0376.5—
QwenSize=14B2024.0372.5—
Llama2Size=70B2024.0372.3—
Llama2Size=34B2024.0368.9—
YiSize=6B2024.0368.7—
LAMIModel Scale=Large-Scale Instruct Models, Base=Qwen-2.5-7B-Inst.2024.0664.466
Qwen-2.5-7B-InstructModel Scale=Large-Scale Instruct Models, Base=-2024.066364.4
Baichuan-2Size=13B2024.0362.4—
SkyworkSize=13B2024.0361.4—
LAMIModel Scale=Large-Scale Instruct Models, Base=Llama3-8B-Inst.2024.0660.962.7
Llama3-8B-InstructModel Scale=Large-Scale Instruct Models, Base=-2024.0659.261.2
LAMIModel Scale=Large-Scale Models, Base=Llama3-8B2024.065862
LAMIModel Scale=Large-Scale Models, Base=Vicuna-7B2024.0657.955.1
Llama3-8BModel Scale=Large-Scale Models, Base=-2024.0657.960.6
Qwen2-VL-7B-Instruct*Model Scale=Large-Scale Instruct Models, Base=Qwen-2.5-7B-Inst., VLM trained on large-scale image–text data=true2024.0657.963.7
Vicuna-7BModel Scale=Large-Scale Models, Base=-2024.0657.553.4
Llava-Next*Model Scale=Large-Scale Instruct Models, Base=Llama3-8B-Inst., VLM trained on large-scale image–text data=true2024.0654.860.7
Llava-Next*Model Scale=Large-Scale Models, Base=Vicuna-7B, VLM trained on large-scale image–text data=true2024.0654.753.1
InstructBLIP*Model Scale=Large-Scale Models, Base=Vicuna-7B, VLM trained on large-scale image–text data=true2024.0653.652.1
LAMIModel Scale=Mid-Scale Models, Base=Gemma-2B2024.0648.954.7
Gemma-2BModel Scale=Mid-Scale Models, Base=-2024.0648.852.7
LAMIModel Scale=Small-Scale Models, Base=GPT-22024.0632.239.2
GPT-2Model Scale=Small-Scale Models, Base=-2024.0630.535.6