🧑‍🔬 Prayag Tiwari

🏛️ Affiliations

🎓Halmstad UniversityHalmstad · Sweden2022–2026 · 153 papersEmployment 2022–2024 · Assistant Professor, School of Information TechnologyEmployment since 2024 · Associate Professor, School of Information TechnologyEmployment 2024 · Senior Lecturer, School of Information Technologycurrent🎓Aalto UniversityEspoo · Finland2021–2024 · 59 papersEmployment 2021–2022 · Postdoctoral Researcher, Department of Computer Science🎓University of PaduaPadua · Italy2017–2021 · 48 papersEducation 2017–2021 · PhD, Information EngineeringEmployment 2017–2020 · Marie Curie Researcher, Information Engineering🎓National University of Science and TechnologyMoscow · Russia2015–2020 · 10 papersEducation 2015–2017 · Masters Degree, Computer Science and Engineering Department🎓The Open UniversityMilton Keynes · United Kingdom2020Employment 2020 · Visiting Researcher, Faculty of STEM🎓Queensland University of TechnologyBrisbane · Australia2019Employment 2019 · Visiting Researcher, School of Information Systems

🏛️National University of Science and Technology "MISIS"Moscow · Russia2015–2017Employment 2015–2017 · Research Assistant, Computer Science and Engineering

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding (2024 · 35 citations)
   The paper tests a common belief: that large language models have essentially solved fast, intuitive "System I" tasks such as sentiment classification.
2. A Dual-View Analysis of Multiple Languages in Colonial Newspapers (2026)
   Colonial-era newspapers record how racial categories were built and maintained, but they are hard to analyse computationally. Annotated data is scarce, OCR output is noisy, and the texts are multilingual and archaic. The authors study racialization from two complementary angles.
3. Preference Optimization for Review Question Generation Improves Writing Quality (2026)
   LLM-drafted peer-review questions are often shallow. They tend to echo keywords or the introduction instead of engaging critically with the whole paper. To address this, the authors built a corpus of reviewer questions from ICLR 2024 reviews on OpenReview, using Gemini 2.0 for extraction and olmOCR for paper text.…

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Natural Language Reasoning, A Survey ↗arXiv:2303.14725 · no summary yetFei Yu et al.2023 · 130 citations
2. SarcasmBench: Towards Evaluating Large Language Models on Sarcasm UnderstandingarXiv:2408.11319Yazhou Zhang, Chunwang Zou, Zheng Lian, et al.2024 · 35 citations
3. A Dual-View Analysis of Multiple Languages in Colonial NewspapersFindings of the Association for Computational LinguisticsZhan Su, Xiaoya Chen, Fengran Mo, et al.2026
4. Preference Optimization for Review Question Generation Improves Writing QualityFindings of the Association for Computational LinguisticsKarun Sharma, Vidushee Vats, Shengzhi LI, et al.2026

🤝 Co-authors here

5 co-authors with a page, the most papers together first.

• Yazhou Zhang ×2
• Fengran Mo
• Jing Qin
• Shengzhi LI
• Yuxiang Wang

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2

🔗 Cited by

Papers of our library cite their works 84 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated 1 November 2026

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