no code implementations • 10 May 2024 • Rishav Hada, Safiya Husain, Varun Gumma, Harshita Diddee, Aditya Yadavalli, Agrima Seth, Nidhi Kulkarni, Ujwal Gadiraju, Aditya Vashistha, Vivek Seshadri, Kalika Bali
Existing research in measuring and mitigating gender bias predominantly centers on English, overlooking the intricate challenges posed by non-English languages and the Global South.
no code implementations • 5 Jul 2023 • Garrett Allen, Gaole He, Ujwal Gadiraju
We identify junctures in typical crowdsourcing workflows at which the introduction of LLMs can play a beneficial role and propose means to augment existing design patterns for crowd work.
1 code implementation • 25 Jan 2023 • Gaole He, Lucie Kuiper, Ujwal Gadiraju
This paper addresses an under-explored problem of whether the Dunning-Kruger Effect (DKE) among people can hinder their appropriate reliance on AI systems.
no code implementations • 30 Nov 2021 • Garrett Allen, Jie Yang, Maria Soledad Pera, Ujwal Gadiraju
Further, we discuss preliminary ideas on strategies for evaluation.
no code implementations • NAACL (TrustNLP) 2021 • Maximilian Idahl, Lijun Lyu, Ujwal Gadiraju, Avishek Anand
Post-hoc explanation methods are an important class of approaches that help understand the rationale underlying a trained model's decision.
no code implementations • 4 May 2021 • Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, Benjamin Timmermans
To better understand the mechanisms underlying SEME, we present a pre-registered, 5 × 3 factorial user study investigating whether order effects (i. e., users adopting the viewpoint pertaining to higher-ranked documents) can cause SEME.
no code implementations • 18 Jan 2021 • Zijian Zhang, Jaspreet Singh, Ujwal Gadiraju, Avishek Anand
Are humans consistently better at selecting features that make image recognition more accurate?
no code implementations • 27 Oct 2020 • Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, Benjamin Timmermans
The way pages are ranked in search results influences whether the users of search engines are exposed to more homogeneous, or rather to more diverse viewpoints.
no code implementations • 14 Jan 2017 • Tuan Tran, Claudia Niederée, Nattiya Kanhabua, Ujwal Gadiraju, Avishek Anand
In this work, we present a novel approach for timeline summarization of high-impact events, which uses entities instead of sentences for summarizing the event at each individual point in time.