Papers with CA-

1 papers
CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval (2025.findings-acl)

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Challenge: Recent techniques such as Generation-Augmented Retrieval (GAR) and Generative Document Retrieleval (GDR) leverage LLMs to enhance retrieval performance but face key challenges: GAR’s generated content may not always align with the target document corpus, while GDR limits the generative capacity of LLM.
Approach: They propose a Context-Aware Generation-Augmented Retrieval approach which integrates corpus information into their generation process.
Outcome: Experimental results show that CA-GAR outperforms existing methods on seven tasks and four non-English languages.

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