Papers by Amir David Nissan Cohen
Measuring the Effect of Transcription Noise on Downstream Language Understanding Tasks (2025.acl-long)
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| Challenge: | a growing number of recorded human speech is recorded for automated processing, resulting in errors in the transcripts . a configurable framework is proposed to analyze transcript noise impact across noise levels and transcript-cleaning techniques. |
| Approach: | They propose a configurable framework for assessing task models in diverse noisy settings . framework facilitates investigation of task model behavior, which can support effective SLU solutions. |
| Outcome: | The proposed framework can analyze model behavior in various noise levels and transcript-cleaning techniques. |
The Overlooked Role of Graded Relevance Thresholds in Multilingual Dense Retrieval (2026.findings-acl)
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| Challenge: | Dense retrieval models are fine-tuned with contrastive learning objectives that require binary relevance judgments. |
| Approach: | They examine how graded relevance scores affect multilingual dense retrieval . they argue that a well-chosen threshold can improve effectiveness and mitigate annotation noise . |
| Outcome: | The optimal threshold varies systematically across languages and tasks, the authors show . a well-chosen threshold can improve effectiveness and mitigate annotation noise . |