Papers with image-conditioned free-form text generation task
Towards Statistical Factuality Guarantee for Large Vision-Language Models (2025.emnlp-main)
Copied to clipboard
| Challenge: | Advancements in Large Vision-Language Models (LVLMs) have demonstrated impressive performance in image-conditioned text generation, but hallucinated outputs pose a major barrier to their use in safety-critical applications. |
| Approach: | They propose a conformal-prediction-based framework that achieves finite-sample distribution-free statistical guarantees to the factuality of LVLM output. |
| Outcome: | The proposed framework reduces the error rate of LLaVa-1.5 claims from 87.8% to 10.0% while ensuring that the output is accurate. |