26 citations · 31 across the 8 of their papers we have counts for
8 papers
Pre-review to Peer review: Pitfalls of Automating Reviews using Large Language Models
Akhil Pandey Akella, Harish Varma Siravuri, Shaurya Rohatgi
Large Language Models are versatile general-task solvers, and their capabilities can truly assist people with scholarly peer review as \textit{pre-review} agents, if not as fully a…
Sci2Pol: Evaluating and Fine-tuning LLMs on Scientific-to-Policy Brief Generation
Weimin Wu, Alexander C. Furnas, Eddie Yang +5
We propose Sci2Pol-Bench and Sci2Pol-Corpus, the first benchmark and training dataset for evaluating and fine-tuning large language models (LLMs) on policy brief generation from a…
LimTopic: LLM-based Topic Modeling and Text Summarization for Analyzing Scientific Articles limitations
Ibrahim Al Azhar, Venkata Devesh Reddy, Hamed Alhoori +1
The limitations sections of scientific articles play a crucial role in highlighting the boundaries and shortcomings of research, thereby guiding future studies and improving resear…
Navigating the Landscape of Reproducible Research: A Predictive Modeling Approach
Akhil Pandey Akella, Sagnik Ray Choudhury, David Koop +1
The reproducibility of scientific articles is central to the advancement of science. Despite this importance, evaluating reproducibility remains challenging due to the scarcity of…
Laying foundations to quantify the "Effort of Reproducibility"
Akhil Pandey Akella, David Koop, Hamed Alhoori
Why are some research studies easy to reproduce while others are difficult? Casting doubt on the accuracy of scientific work is not fruitful, especially when an individual research…
Reproducibility Signals in Science: A preliminary analysis
Akhil Pandey Akella, Hamed Alhoori, David Koop
Reproducibility is an important feature of science; experiments are retested, and analyses are repeated. Trust in the findings increases when consistent results are achieved. Despi…