Papers with DSI
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic (2023.acl-long)
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Connor Pryor, Quan Yuan, Jeremiah Liu, Mehran Kazemi, Deepak Ramachandran, Tania Bedrax-Weiss, Lise Getoor
| Challenge: | Existing DSI approaches infer latent dialog structure without access to domain knowledge. |
| Approach: | They propose a neural-symbolic approach that injects symbolic knowledge into latent space of a generative neural model. |
| Outcome: | The proposed approach boosts performance over the canonical baselines over three dialog structure induction datasets. |
DSI++: Updating Transformer Memory with New Documents (2023.emnlp-main)
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Sanket Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
| Challenge: | Differentiable Search Indices (DSIs) encode a corpus of documents and use the same model to map queries directly to relevant document identifiers. |
| Approach: | They propose a continual learning challenge for Differentiable Search Indices (DSIs) they propose to continuously index new documents while answering queries related to previously and newly indexed documents. |
| Outcome: | The proposed model stably memorizes more documents and improves the average Hits@10 by +21.1% over baselines. |
Understanding Differential Search Index for Text Retrieval (2023.findings-acl)
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| Challenge: | Differentiable Search Index (DSI) is a new information retrieval framework . however, due to the black-box nature of the end-to-end neural architecture, it remains unclear to what extent it possesses basic indexing and retrieval abilities. |
| Approach: | They propose a multi-task distillation approach to enhance the retrieval quality without altering the structure of the model. |
| Outcome: | The proposed method outperforms baselines on various datasets. |