Papers by Afra Feyza Akyürek
On Measuring Social Biases in Prompt-Based Multi-Task Learning (2022.findings-naacl)
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| Challenge: | a large body of work within prompt engineering attempts to understand the effects of input forms and prompts in achieving superior performance. |
| Approach: | They propose a large-scale text-to-text language model trained using prompts . they consider two different forms of semantically equivalent inputs - question-answer format and premise-hypothesis format . |
| Outcome: | The proposed model can generalize into novel forms of language and handle novel tasks. |
PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional Reasoning (2026.acl-long)
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Afra Feyza Akyürek, Advait Gosai, Chen Bo Calvin Zhang, Vipul Gupta, Jaehwan Jeong, Anisha Gunjal, Tahseen Rabbani, Maria Mazzone, David Randolph IV, Mohammad Mahmoudi Meymand, Gurshaan Chattha, Paula Rodriguez, Diego A. Mares Buendia, Pavit Singh, Michael Liu, Subodh Chawla, Peter Cline, Lucy Ogaz, Ernesto Gabriel Hernández Montoya, Zihao Wang, Pavi Bhatter, Marcos Ayestaran, Bing Liu, Yunzhong He
| Challenge: | Frontier models often lack a view of performance on open-ended, economically consequential tasks in high-stakes professional domains where practical returns matter most. |
| Approach: | They introduce a professional reasoning benchmark that recruits 182 qualified professionals to contribute questions inspired by their workflows. |
| Outcome: | The proposed model outperforms other models in 114 countries and 47 US jurisdictions on hard subsets. |
IndoCollex: A Testbed for Morphological Transformation of Indonesian Colloquial Words (2021.findings-acl)
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Haryo Akbarianto Wibowo, Made Nindyatama Nityasya, Afra Feyza Akyürek, Suci Fitriany, Alham Fikri Aji, Radityo Eko Prasojo, Derry Tanti Wijaya
| Challenge: | Existing research on word normalization in Indonesian language relies on static dictionaries and machine translation. |
| Approach: | They propose to use Twitter to annotate Indonesian colloquial words with their standard forms and their word formation types/tags to perform morphological word normalization. |
| Outcome: | The proposed dataset analyzes morphological word normalization on Indonesian colloquial Lexicons and provides a baseline for future work. |
Multi-Label and Multilingual News Framing Analysis (2020.acl-main)
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| Challenge: | Recent studies have focused on news framing in English, but few studies have explored how it can be extended to other languages and in multi-label settings. |
| Approach: | They propose a method that leverages dictionary and few annotations to detect frames from just the headline in a low-resource context. |
| Outcome: | The proposed method performs better than translating the entire headline to the source language . it can be scaled up to many languages, even those without existing translation technologies . |
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability (2024.findings-acl)
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| Challenge: | Existing language models (LMs) generate factually correct text and estimate truth values of individual claims, but they do not reflect a coherent, manipulable model of the world. |
| Approach: | They propose a method that uses language models to identify implications of (and contradictions within) the text they generate. |
| Outcome: | The proposed method improves LM factuality by 3-26% across the CREAK, MQuAKE, and Reversal Curse datasets. |