Papers by Aboubacar Tuo
Few-Shot Event Argument Extraction Based on a Meta-Learning Approach (2024.naacl-srw)
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| Challenge: | Recent studies on few-shot event extraction focus on event trigger detection and argument extraction in meta-learning contexts. |
| Approach: | They propose to use prototypical networks to perform few-shot event argument extraction . they propose to inject syntactic knowledge into the model to enhance relation embeddings . |
| Outcome: | The proposed approach achieves strong performance on ACE 2005 in several few-shot configurations. |
A Scalable Entity-Based Framework for Auditing Bias in Large Language Models (2026.findings-acl)
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| Challenge: | Existing approaches to bias evaluation in large language models trade ecological validity for statistical control, or use artificial prompts that lack scale and rigor. |
| Approach: | They propose a framework that uses named entities as probes to measure bias in large language models. |
| Outcome: | The proposed framework reproduces bias patterns observed in natural text, enabling large-scale analysis. |