Web15 Apr 2024 · PermGen uses hierarchical positional embedding and designs new procedures for training, decoding, and candidate ranking in the sentence-permuted generation. … WebOur idea is permuting the sentence orders to improve the content diversity of multi-sentence paragraph. We propose a novel framework PermGen whose objective is to maximize the …
Graph-based Multi-hop Reasoning for Long Text Generation
WebSentence-Permuted Paragraph Generation. In Marie-Francine Moens , Xuanjing Huang , Lucia Specia , Scott Wen-tau Yih , editors, Proceedings of the 2024 Conference on … WebWe propose a novel framework PermGen whose objective is to maximize the expected log-likelihood of output paragraph distributions with respect to all possible sentence orders. PermGen uses hierarchical positional embedding and designs new procedures for training, and decoding in the sentence-permuted generation. laboratory\u0027s ss
Sentence-Permuted Paragraph Generation - Microsoft …
WebOur idea is permuting the sentence orders to improve the content diversity of multi-sentence paragraph. We propose a novel framework PermGen whose objective is to maximize the expected log-likelihood of output paragraph distributions with respect to all possible sentence orders. WebSentence-Permuted Paragraph Generation Model Usage Step 1: Download datasets Step 2: Install packages Step 3: Randomly permute sentences Step 4: Train the model Step 5: … WebPermGen uses hierarchical positional embedding and designs new procedures for training, decoding, and candidate ranking in the sentence-permuted generation. Experiments on three paragraph generation benchmarks demonstrate PermGen generates more diverse outputs with a higher quality than existing models. laboratory\u0027s sp