1 code implementation • EMNLP (sdp) 2020 • Jian Wu, Pei Wang, Xin Wei, Sarah Rajtmajer, C. Lee Giles, Christopher Griffin
We built a supplementary database by linking CORD-19 papers with acknowledgement entities extracted by AckExtract including persons and organizations and find that only up to 50–60% of named entities are actually acknowledged.
no code implementations • 17 May 2024 • Xinyu Wang, Sai Koneru, Pranav Narayanan Venkit, Brett Frischmann, Sarah Rajtmajer
As social media has become a predominant mode of communication globally, the rise of abusive content threatens to undermine civil discourse.
no code implementations • 24 Apr 2024 • Xinyu Wang, Jiayi Li, Sarah Rajtmajer
Social media users drive the spread of misinformation online by sharing posts that include erroneous information or commenting on controversial topics with unsubstantiated arguments often in earnest.
no code implementations • 11 Apr 2024 • Pranav Narayanan Venkit, Tatiana Chakravorti, Vipul Gupta, Heidi Biggs, Mukund Srinath, Koustava Goswami, Sarah Rajtmajer, Shomir Wilson
We investigate how hallucination in large language models (LLM) is characterized in peer-reviewed literature using a critical examination of 103 publications across NLP research.
1 code implementation • 7 Sep 2023 • Sai Koneru, Jian Wu, Sarah Rajtmajer
Hypothesis formulation and testing are central to empirical research.
no code implementations • 20 Apr 2023 • Kehinde Ajayi, Muntabhir Hasan Choudhury, Sarah Rajtmajer, Jian Wu
We then examine replicability using a dataset similar to the original as well as a new dataset, GenTSR, consisting of 386 annotated tables extracted from scientific papers.
no code implementations • 1 Mar 2023 • Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton, Michael McLaughlin, Vaibhav Singh, Christopher Griffin, Anthony Kwasnica, David Pennock, C. Lee Giles, Sarah Rajtmajer
We present a prototype hybrid prediction market and demonstrate the avenue it represents for meaningful human-AI collaboration.
no code implementations • 23 Dec 2021 • Sarah Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh, Laxmaan Balaji, Anna Squicciarini, Anthony Kwasnica, David Pennock, Michael McLaughlin, Timothy Fritton, Nishanth Nakshatri, Arjun Menon, Sai Ajay Modukuri, Rajal Nivargi, Xin Wei, C. Lee Giles
Explainably estimating confidence in published scholarly work offers opportunity for faster and more robust scientific progress.
no code implementations • 5 Jan 2021 • Nishanth Nakshatri, Arjun Menon, C. Lee Giles, Sarah Rajtmajer, Christopher Griffin
We show that under certain assumptions on the underlying geometry, the resulting synthetic prediction market can be used to arbitrarily closely approximate a binary function defined on a set of input data.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Chandan Akiti, Anna Squicciarini, Sarah Rajtmajer
As users engage in public discourse, the rate of voluntarily disclosed personal information has seen a steep increase.