Papers with dynamic decoding
D3: Dynamic Docid Decoding for Multi-Intent Generative Retrieval (2026.eacl-industry)
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| Challenge: | Existing GR systems rely on offline DocID assignment and constrained decoding . offline Doc ID assignment and decoding often prevents GR from capturing query-specific intent . |
| Approach: | They propose a mechanism that adaptively refines DocIDs through query-informed identifier expansion. |
| Outcome: | The proposed mechanism improves retrieval accuracy on unseen and multi-intent documents. |
Subword Segmental Machine Translation: Unifying Segmentation and Target Sentence Generation (2023.findings-acl)
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| Challenge: | Subword segmenters are used in neural machine translation, but are not used in high-resource settings. |
| Approach: | They propose a subword segmental machine translation (SSMT) that unifies subword and MT in a single trainable model. |
| Outcome: | The proposed model improves chrF scores for morphologically rich agglutinative languages and is more robust on a test set constructed for evaluating morphology generalisations. |