Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization

Cite

Text

Zhang et al. "Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization." AAAI Conference on Artificial Intelligence, 2025. doi:10.1609/AAAI.V39I24.34792

Markdown

[Zhang et al. "Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization." AAAI Conference on Artificial Intelligence, 2025.](https://mlanthology.org/aaai/2025/zhang2025aaai-defeasible/) doi:10.1609/AAAI.V39I24.34792

BibTeX

@inproceedings{zhang2025aaai-defeasible,
  title     = {{Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization}},
  author    = {Zhang, Yue and Jing, Liqiang and Gogate, Vibhav},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2025},
  pages     = {25976-25984},
  doi       = {10.1609/AAAI.V39I24.34792},
  url       = {https://mlanthology.org/aaai/2025/zhang2025aaai-defeasible/}
}