Enhancing Factuality through Consensus and Consistency in Summarization Using Minimum Bayes Risk Decoding 事件

Enhancing Factuality through Consensus and Consistency in Summarization Using Minimum Bayes Risk Decoding arXiv:2605.29336v1 Announce Type: new Abstract: Improving the quality of model-generated summaries, especially factuality, the accuracy of a summary with respect to its source content, remains a challenge. While reranking could select the optimal output from multiple generated candidates, it is limited to only using the source as guidance, resulting in unreliable summaries. To address this