Papers by Fatima Zahra Qachfar
Domain-Agnostic Adapter Architecture for Deception Detection: Extensive Evaluations with the DIFrauD Benchmark (2024.lrec-main)
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| Challenge: | Existing research focuses predominantly on specific fields, which results in the need for clarity on linguistic markers associated with deception. |
| Approach: | They propose a domain-independent fraud detection benchmark with 100,000 honest and misleading statements in seven domains and a parameter-efficient finetuning adapter to improve tuning methods. |
| Outcome: | The proposed adapter outperforms all competition on the DIFrauD benchmark and is able to predict the performance of the proposed model. |