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cs.CV2023
ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos
Te-Lin Wu, Zi-Yi Dou, Qingyuan Hu +5
Multimodal counterfactual reasoning is a vital yet challenging ability for AI systems. It involves predicting the outcomes of hypothetical circumstances based on vision and languag…
cs.CL2023
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation
Haoyi Qiu, Kung-Hsiang Huang, Jingnong Qu +1
Ensuring factual consistency is crucial for natural language generation tasks, particularly in abstractive summarization, where preserving the integrity of information is paramount…
cs.CL2023
Gender Biases in Automatic Evaluation Metrics for Image Captioning
Haoyi Qiu, Zi-Yi Dou, Tianlu Wang +2
Model-based evaluation metrics (e.g., CLIPScore and GPTScore) have demonstrated decent correlations with human judgments in various language generation tasks. However, their impact…