Papers by Tamim Asfour
SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading (2024.emnlp-main)
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Tu Dinh, Carlos Mullov, Leonard Bärmann, Zhaolin Li, Danni Liu, Simon Reiß, Jueun Lee, Nathan Lerzer, Jianfeng Gao, Fabian Peller-Konrad, Tobias Röddiger, Alexander Waibel, Tamim Asfour, Michael Beigl, Rainer Stiefelhagen, Carsten Dachsbacher, Klemens Böhm, Jan Niehues
| Challenge: | Large Language Models (LLMs) are rapidly developing and are becoming more and more useful in scientific tasks. |
| Approach: | They propose to use LLM-as-a-judge to grade LLMs on SciEx to assess their ability on scientific tasks. |
| Outcome: | The proposed benchmarks show that the LLMs perform decently on free-form exams, achieving 0.948 Pearson correlation with expert grading. |