Aparna ramtirthakar biography of martin
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Brand New Nation
Kaur, Ravinder. Brand New Nation: Capitalist Dreams and Nationalist Designs in Twenty-First-Century India, Redwood City: Stanford University Press, 2020. https://doi.org/10.1515/9781503612600
Kaur, R. (2020). Brand New Nation: Capitalist Dreams and Nationalist Designs in Twenty-First-Century India. Redwood City: Stanford University Press. https://doi.org/10.1515/9781503612600
Kaur, R. 2020. Brand New Nation: Capitalist Dreams and Nationalist Designs in Twenty-First-Century India. Redwood City: Stanford University Press. https://doi.org/10.1515/9781503612600
Kaur, Ravinder. Brand New Nation: Capitalist Dreams and Nationalist Designs in Twenty-First-Century India. Redwood City: Stanford University Press, 2020. https://doi.org/10.1515/9781503612600
Kaur R. Brand New Nation: Capitalist Dreams and Nationalist Designs in Twenty-First-Century India. Redwood City: Stanford University Press; 2020. https://doi.org/10.1515/9781503612600
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Madras Presidency
Administrative subdivision of India from 1652 to 1950
The Madras Presidency or Madras Province, officially called the Presidency of Fort St. George until 1937, was an administrative subdivision (province) of British India and later the Dominion of India. At its greatest extent, the presidency included most of southern India, including all of present-day Andhra Pradesh, almost all of Tamil Nadu and parts of Kerala, Karnataka, Odisha and Telangana in the modern day. The city of Madras was the winter capital of the presidency and Ooty (Udagamandalam) was the summer capital.
The Madras State was neighboured by the Kingdom of Mysore to the northwest, the Kingdom of Cochin and Kingdom of Travancore to the southwest, the Kingdom of Pudukkottai in the center, and the Hyderabad State to the north. Some parts of the presidency were also flanked by Bombay State (Konkan Districts) and Central States (modern Madhya Pradesh).
In 1639, the English East India Company
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CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries
Shudong Liu1, Yiqiao Jin2, Cheng Li3, Derek F. Wong1
Qingsong Wen4, Lichao Sun5, Haipeng Chen6, Xing Xie3, Jindong Wang6
1University of Macau 2Georgia Institute of Technology 3Microsoft Research
4Squirrel AI 5Lehigh University 6William & Mary
https://culturevlm.github.io
Abstract
Vision-language models (VLMs) have advanced human-AI interaction but struggle with cultural understanding, often misinterpreting symbols, gestures, and artifacts due to biases in predominantly Western-centric training data. In this paper, we construct CultureVerse, a large-scale multimodal benchmark covering cultural concepts, countries/regions, cultural concepts, and question types, with the aim of characterizing and improving VLMs’ multicultural understanding capabilities. Then, we föreslå CultureVLM, a series of VLMs fine-tuned on our dataset to achie