Papers by Abeer Badawi
When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation (2026.eacl-long)
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Abeer Badawi, Elahe Rahimi, Md Tahmid Rahman Laskar, Sheri Grach, Lindsay Bertrand, Lames Danok, Prathiba Dhanesh, Jimmy Huang, Frank Rudzicz, Elham Dolatabadi
| Challenge: | Existing benchmarks for large language models are limited in scale, authenticity, and reliability due to the emotionally complex nature of therapeutic dialogue. |
| Approach: | They propose two benchmarks that provide a framework for evaluating large language models for mental health support. |
| Outcome: | The proposed framework provides a framework for generation and evaluation of large-scale authentic dialogue datasets and judge-reliability assessments. |
Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization (2025.findings-emnlp)
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| Challenge: | Position bias is a key limitation in automatic summarization. |
| Approach: | They propose a cross-encoder-based alignment method that processes summary-source sentence pairs . |
| Outcome: | The proposed method allows better identification of semantic correspondences even when summaries substantially rewrite the source. |