Papers by Christine Basta
Evaluating Gender Bias in Speech Translation (2022.lrec-1)
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| Challenge: | Existing evaluation techniques for gender biases are lacking in the field of machine translation. |
| Approach: | They propose to use a free evaluation set to evaluate gender bias in speech translation. |
| Outcome: | The proposed set is the speech version of WinoMT, an MT challenge set. |
Enhancing Software Requirements Engineering with Language Models and Prompting Techniques: Insights from the Current Research and Future Directions (2025.acl-srw)
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| Challenge: | Large Language Models (LLMs) offer transformative potential for Software Requirements Engineering (SRE), but they face challenges such as domain ignorance, hallucinations, and high computational costs. |
| Approach: | They propose a conceptual framework that integrates Small Language Models and Knowledge-Augmented LMs with LangChain to address these limitations systematically. |
| Outcome: | The proposed framework addresses six technical challenges and two research gaps through a systematic review of LLM applications in software requirements engineering. |