32 citations · 63 across the 64 of their papers we have counts for
Showing 2023 · cs.CLShow all
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cs.CL2023★ 3 cited
MM-BigBench: Evaluating Multimodal Models on Multimodal Content Comprehension Tasks
Xiaocui Yang, Wenfang Wu, Shi Feng +7
The popularity of multimodal large language models (MLLMs) has triggered a recent surge in research efforts dedicated to evaluating these models. Nevertheless, existing evaluation…
cs.CL2023
RoCar: A Relationship Network-based Evaluation Method for Large Language Models
Ming Wang, Wenfang Wu, Chongyun Gao +3
Large language models (LLMs) have received increasing attention. However, due to the complexity of its capabilities, how to rationally evaluate the capabilities of LLMs is still a…
cs.CL2023★ 2 cited
Evaluate What You Can't Evaluate: Unassessable Quality for Generated Response
Yongkang Liu, Shi Feng, Daling Wang +2
LLMs (large language models) such as ChatGPT have shown remarkable language understanding and generation capabilities. Although reference-free evaluators based on LLMs show better…