2 papers
cs.CL2026
How Do VLMs Behave When Blind or Misled? Behavioral Evaluation of VLMs on Scientific Figures
Paul Osemudiame Oamen, Owusu-Banahene Osei, Ananya Mukherjee +4
Existing vision-language model (VLM) benchmarks emphasize perception and reasoning accuracy (how well VLMs describe and reason about what they see in an image), with limited attent…
cs.CL2023
Unsupervised Approach to Evaluate Sentence-Level Fluency: Do We Really Need Reference?
Gopichand Kanumolu, Lokesh Madasu, Pavan Baswani +2
Fluency is a crucial goal of all Natural Language Generation (NLG) systems. Widely used automatic evaluation metrics fall short in capturing the fluency of machine-generated text.…