Haiti
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Language Model Tokenizers Introduce Unfairness Between Languages
Recent language models have shown impressive multilingual performance, even when not explicitly trained for it. Despite this, there are concerns about the quality of their outputs across different languages. In this paper, we show how disparity in the treatment of different languages arises at the tokenization stage, well before a model is even invoked. The same text translated into different languages can have drastically different tok-enization lengths, with differences up to 15 times in some cases. These disparities persist even for tokenizers that are intentionally trained for multilingual support.
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NBC anchor Savannah Guthrie's mother has been abducted, sheriff suspects
NBC anchor Savannah Guthrie's mother has been abducted, sheriff suspects The mother of US news anchor Savannah Guthrie has been abducted and didn't go willingly from her home, Arizona law enforcement officials suspect. Nancy Guthrie, the 84-year-old mother of the NBC News host, was last seen in her house outside Tucson, Arizona, on Saturday evening. Her family reported her missing a day later. When authorities arrived, the scene of Nancy Guthrie's property caused grave concern, Pima County Sheriff Chris Nanos said. He did not provide a possible motive and, while there was no initial indication Nancy Guthrie could have been targeted because of her name, the sheriff said we can't dismiss that. I believe she was abducted, yes, Sheriff Nanos told CBS, the BBC's US partner.
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China's Renewable Energy Revolution Is a Huge Mess That Might Save the World
China's Renewable Energy Revolution Is a Huge Mess That Might Save the World A global onslaught of cheap Chinese green power is upending everything in its path. No one is ready for its repercussions. There's a particular kind of sci-fi nerd who equates fusion tech with utopia. If we could only harness the engine of the stars, it would uncork near limitless energy and neatly sweep away a whole mess of humanity's problems. But how would that work exactly? What would the transition look like?
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Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models
Piedrahita, David Guzman, Strauss, Irene, Schölkopf, Bernhard, Mihalcea, Rada, Jin, Zhijing
As Large Language Models (LLMs) become increasingly integrated into everyday life and information ecosystems, concerns about their implicit biases continue to persist. While prior work has primarily examined socio-demographic and left--right political dimensions, little attention has been paid to how LLMs align with broader geopolitical value systems, particularly the democracy--authoritarianism spectrum. In this paper, we propose a novel methodology to assess such alignment, combining (1) the F-scale, a psychometric tool for measuring authoritarian tendencies, (2) FavScore, a newly introduced metric for evaluating model favorability toward world leaders, and (3) role-model probing to assess which figures are cited as general role-models by LLMs. We find that LLMs generally favor democratic values and leaders, but exhibit increased favorability toward authoritarian figures when prompted in Mandarin. Further, models are found to often cite authoritarian figures as role models, even outside explicit political contexts. These results shed light on ways LLMs may reflect and potentially reinforce global political ideologies, highlighting the importance of evaluating bias beyond conventional socio-political axes. Our code is available at: https://github.com/irenestrauss/Democratic-Authoritarian-Bias-LLMs.
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