Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Seth, Agrima"'
Autor:
Hamna, Sudharsan, Deepthi, Seth, Agrima, Budhiraja, Ritvik, Khullar, Deepika, Jain, Vyshak, Bali, Kalika, Vashistha, Aditya, Segal, Sameer
Large Language Models (LLMs) and Text-To-Image (T2I) models have demonstrated the ability to generate compelling text and visual stories. However, their outputs are predominantly aligned with the sensibilities of the Global North, often resulting in
Externí odkaz:
http://arxiv.org/abs/2410.19419
Autor:
Hada, Rishav, Husain, Safiya, Gumma, Varun, Diddee, Harshita, Yadavalli, Aditya, Seth, Agrima, Kulkarni, Nidhi, Gadiraju, Ujwal, Vashistha, Aditya, Seshadri, Vivek, Bali, Kalika
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. This paper presents the first comprehensive study delving into the n
Externí odkaz:
http://arxiv.org/abs/2405.06346
Generative models are increasingly being used in various applications, such as text generation, commonsense reasoning, and question-answering. To be effective globally, these models must be aware of and account for local socio-cultural contexts, maki
Externí odkaz:
http://arxiv.org/abs/2403.14651
Language serves as a powerful tool for the manifestation of societal belief systems. In doing so, it also perpetuates the prevalent biases in our society. Gender bias is one of the most pervasive biases in our society and is seen in online and offlin
Externí odkaz:
http://arxiv.org/abs/2310.17428
Understanding interpersonal communication requires, in part, understanding the social context and norms in which a message is said. However, current methods for identifying offensive content in such communication largely operate independent of contex
Externí odkaz:
http://arxiv.org/abs/2307.02763
Autor:
Ananthasubramaniam, Aparna, Chen, Hong, Yan, Jason, Alkiek, Kenan, Pei, Jiaxin, Seth, Agrima, Dunagan, Lavinia, Choi, Minje, Litterer, Benjamin, Jurgens, David
Linguistic style matching (LSM) in conversations can be reflective of several aspects of social influence such as power or persuasion. However, how LSM relates to the outcomes of online communication on platforms such as Reddit is an unknown question
Externí odkaz:
http://arxiv.org/abs/2307.02758
Culture shapes people's behavior, both online and offline. Surprisingly, there is sparse research on how cultural context affects network formation and content consumption on social media. We analyzed the friendship networks and dyadic relations betw
Externí odkaz:
http://arxiv.org/abs/2301.13801
Autor:
Natraj, Shreyasvi, Bhide, Malhar, Yap, Nathan, Liu, Meng, Seth, Agrima, Berman, Jonathan, Glorioso, Christin
The Coronavirus disease 2019 (COVID-19) pandemic, caused by the virus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has impacted over 200 countries leading to hospitalizations and deaths of millions of people. Public health interventi
Externí odkaz:
http://arxiv.org/abs/2212.05035
Influencers play a crucial role in shaping public narratives through information creation and diffusion in the Global South. While public figures from various walks of life and their impact on public discourse have been studied, defence veterans as i
Externí odkaz:
http://arxiv.org/abs/2204.03098
Reliable data quality monitoring is a key asset in delivering collision data suitable for physics analysis in any modern large-scale High Energy Physics experiment. This paper focuses on the use of artificial neural networks for supervised and semi-s
Externí odkaz:
http://arxiv.org/abs/1808.00911