1 citations · 2 across the 4 of their papers we have counts for
4 papers
Scalable Question-Centric Text-to-Image Evaluation: Reliable Ranking, Fine-Grained Diagnosis, and Cost-Aware Routing
Shaoan Zhao, Fang Zhao, Xueqiang Guo +9
Modern text-to-image (T2I) models often have similar total scores but different strengths, making practical selection difficult. Fine-grained benchmarks decompose prompts into ques…
Methodology of Adapting Large English Language Models for Specific Cultural Contexts
Wenjing Zhang, Siqi Xiao, Xuejiao Lei +7
The rapid growth of large language models(LLMs) has emerged as a prominent trend in the field of artificial intelligence. However, current state-of-the-art LLMs are predominantly b…
What is the best model? Application-driven Evaluation for Large Language Models
Shiguo Lian, Kaikai Zhao, Xinhui Liu +5
General large language models enhanced with supervised fine-tuning and reinforcement learning from human feedback are increasingly popular in academia and industry as they generali…
CHiSafetyBench: A Chinese Hierarchical Safety Benchmark for Large Language Models
Wenjing Zhang, Xuejiao Lei, Zhaoxiang Liu +5
With the profound development of large language models(LLMs), their safety concerns have garnered increasing attention. However, there is a scarcity of Chinese safety benchmarks fo…