Papers with AS

2 papers
Exploiting WordNet Synset and Hypernym Representations for Answer Selection (2020.aacl-main)

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Challenge: Answer selection (AS) is a challenging subtask of document-based question answering (DQA).
Approach: They propose to use WordNet to enrich the word representation and sentence encoding to incorporate similarity scores of two concepts that share synset or hypernym relations into the attention mechanism.
Outcome: The proposed model outperforms existing state-of-the-art models on the public WikiQA and SelQA datasets and significantly improves the baseline system.
Adapters Selector: Cross-domains and Multi-tasks LoRA Modules Integration Usage Method (2025.coling-main)

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Challenge: Parameter-Efficient fine-tuning (PEFT) adapts large language models to specific domains by updating only a small portion of the parameters.
Approach: They propose a framework for better integrating usage of multiple adapters by training a middleman adapter to select the appropriate adapter for inference.
Outcome: The proposed framework can perform cross-domain multi-tasks effectively through the utilization of a compact model in combination with multiple LoRA modules.

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