Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing

Autor: Askari, Hadi, Chhabra, Anshuman, Chen, Muhao, Mohapatra, Prasant

Large Language Models (LLMs) have achieved state-of-the-art performance at zero-shot generation of abstractive summaries for given articles. However, little is known about the robustness of such a process of zero-shot summarization. To bridge this ga

Externí odkaz: http://arxiv.org/abs/2406.03993

Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias

Autor: Chhabra, Anshuman, Askari, Hadi, Mohapatra, Prasant

We characterize and study zero-shot abstractive summarization in Large Language Models (LLMs) by measuring position bias, which we propose as a general formulation of the more restrictive lead bias phenomenon studied previously in the literature. Pos

Externí odkaz: http://arxiv.org/abs/2401.01989

Electrical and optical properties of ITO thin films prepared by DC magnetron sputtering for low-emitting coatings

Autor: Askari, Hadi, Fallah, Hamidreza, Askari, Mehdi, Mohmmadieyh, Mehdi Charkhchi

Optimized DC magnetron sputtering system for the deposition of transparent conductive oxides (TCOs), such indium tin oxide (ITO) on glass substrate has been applied in order to achieve low-emitting (low-e) transparent coatings. To obtain the concerne

Externí odkaz: http://arxiv.org/abs/1409.5293

The advantages of FORTRAN over C++: A comparison of runtime and memory requirement for solving physics and engineering problems

Autor: Rezaee, Mostafa Mohammad, Saeedinia, Amir Hossein, Alireza Motazedian, Oraki, Mehdi, Khazrak, Iman, Askari, Hadi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c72ca63acb03601ca5628c271b949bd

Incentivizing news consumption on social media platforms using large language models and realistic bot accounts.

Autor: Askari H; Department of Computer Science, University of California, Davis, USA., Chhabra A; Department of Computer Science and Engineering, University of South Florida, Tampa, USA., von Hohenberg BC; GESIS-Leibniz-Institute for the Social Sciences, Cologne, Germany., Heseltine M; Amsterdam School for Communication Research, University of Amsterdam, Amsterdam, The Netherlands., Wojcieszak M; Amsterdam School for Communication Research, University of Amsterdam, Amsterdam, The Netherlands.; Department of Communication, University of California, Davis, USA.

Publikováno v: PNAS nexus [PNAS Nexus] 2024 Aug 23; Vol. 3 (9), pp. pgae368. Date of Electronic Publication: 2024 Aug 23 (Print Publication: 2024).