Papers with DSI

3 papers
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic (2023.acl-long)

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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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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.

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