Qing Xiao
@qingxiaohci.bsky.social
PhD student at the Human-Computer Interaction Institute at Carnegie Mellon.
Areas: HCI/CSCW, Management, Work and Organization Studies
My personal website: https://qingxiaohci.com/
Areas: HCI/CSCW, Management, Work and Organization Studies
My personal website: https://qingxiaohci.com/
Reposted by Qing Xiao
🚨 New Preprint! 🚨
Smarter LLMs are more selfish.
We show reasoning-enhanced models significantly prefer greed over cooperation. The more LLMs reason, the worse they cooperate.
👇 THREAD 👇
[Link to paper: arxiv.org/abs/2502.177...
[1/n]
Smarter LLMs are more selfish.
We show reasoning-enhanced models significantly prefer greed over cooperation. The more LLMs reason, the worse they cooperate.
👇 THREAD 👇
[Link to paper: arxiv.org/abs/2502.177...
[1/n]
May 22, 2025 at 5:27 PM
🚨 New Preprint! 🚨
Smarter LLMs are more selfish.
We show reasoning-enhanced models significantly prefer greed over cooperation. The more LLMs reason, the worse they cooperate.
👇 THREAD 👇
[Link to paper: arxiv.org/abs/2502.177...
[1/n]
Smarter LLMs are more selfish.
We show reasoning-enhanced models significantly prefer greed over cooperation. The more LLMs reason, the worse they cooperate.
👇 THREAD 👇
[Link to paper: arxiv.org/abs/2502.177...
[1/n]
Reposted by Qing Xiao
🚨 New Paper! 🚨
“Groups that communicate diverse information make wiser decisions.” Right? Not always—for LLMs, just like humans.
We bring this scrutiny to AI by introducing the Hidden Profile paradigm to assess how multi-agent LLMs actually reason together.
arxiv.org/abs/2505.115...
[1/n]
“Groups that communicate diverse information make wiser decisions.” Right? Not always—for LLMs, just like humans.
We bring this scrutiny to AI by introducing the Hidden Profile paradigm to assess how multi-agent LLMs actually reason together.
arxiv.org/abs/2505.115...
[1/n]
May 20, 2025 at 5:18 PM
🚨 New Paper! 🚨
“Groups that communicate diverse information make wiser decisions.” Right? Not always—for LLMs, just like humans.
We bring this scrutiny to AI by introducing the Hidden Profile paradigm to assess how multi-agent LLMs actually reason together.
arxiv.org/abs/2505.115...
[1/n]
“Groups that communicate diverse information make wiser decisions.” Right? Not always—for LLMs, just like humans.
We bring this scrutiny to AI by introducing the Hidden Profile paradigm to assess how multi-agent LLMs actually reason together.
arxiv.org/abs/2505.115...
[1/n]
Thanks for sharing our research. Here to see how internal cross-functional teams (journalists, AI professionals) work in newsrooms!
Here's @qingxiaohci.bsky.social piece for GAIN which explores how cross-functional teams can navigate the challenges around AI in newsrooms, based on extensive user-centered work on newsrooms in China. generative-ai-newsroom.com/building-cro...
Building Cross-Functional AI Teams in Newsrooms: Navigating Challenges and Opportunities
Lessons from the field on bridging editorial and technical divides
generative-ai-newsroom.com
April 23, 2025 at 2:06 PM
Thanks for sharing our research. Here to see how internal cross-functional teams (journalists, AI professionals) work in newsrooms!
🚀 Our study headed to #CHI2025 in Yokohama! arxiv.org/abs/2409.10670
Through an ethnography, we examine how millions of fans mobilize to influence social media algorithms.
Thanks for the collaborators: Yuhang Zheng, @XianzheFan, @Blingblingzhang, @luzc08.bsky.social
Through an ethnography, we examine how millions of fans mobilize to influence social media algorithms.
Thanks for the collaborators: Yuhang Zheng, @XianzheFan, @Blingblingzhang, @luzc08.bsky.social
Let's Influence Algorithms Together: How Millions of Fans Build Collective Understanding of Algorithms and Organize Coordinated Algorithmic Actions
Previous research pays attention to how users strategically understand and consciously interact with algorithms but mainly focuses on an individual level, making it difficult to explore how users with...
arxiv.org
February 14, 2025 at 4:31 PM
🚀 Our study headed to #CHI2025 in Yokohama! arxiv.org/abs/2409.10670
Through an ethnography, we examine how millions of fans mobilize to influence social media algorithms.
Thanks for the collaborators: Yuhang Zheng, @XianzheFan, @Blingblingzhang, @luzc08.bsky.social
Through an ethnography, we examine how millions of fans mobilize to influence social media algorithms.
Thanks for the collaborators: Yuhang Zheng, @XianzheFan, @Blingblingzhang, @luzc08.bsky.social
🚀 Our paper has been accepted to #CHI2025! 🎉
arxiv.org/abs/2409.12000
As AI technologists and data workers increasingly enter the news industry, cross-functional collaboration with journalists is becoming essential. But how do these collaborations unfold in practice?
arxiv.org/abs/2409.12000
As AI technologists and data workers increasingly enter the news industry, cross-functional collaboration with journalists is becoming essential. But how do these collaborations unfold in practice?
"It Might be Technically Impressive, But It's Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry
Recently, an increasing number of news organizations have integrated artificial intelligence (AI) into their workflows, leading to a further influx of AI technologists and data workers into the news i...
arxiv.org
February 14, 2025 at 4:26 PM
🚀 Our paper has been accepted to #CHI2025! 🎉
arxiv.org/abs/2409.12000
As AI technologists and data workers increasingly enter the news industry, cross-functional collaboration with journalists is becoming essential. But how do these collaborations unfold in practice?
arxiv.org/abs/2409.12000
As AI technologists and data workers increasingly enter the news industry, cross-functional collaboration with journalists is becoming essential. But how do these collaborations unfold in practice?
Reposted by Qing Xiao
🚨 Advanced LLMs may sound unbiased—but it's a ruse. We show that demographically-informed language agents reveal stark, implicit biases in decision-making.
New preprint: “Actions Speak Louder Than Words: Agent Decisions Reveal Implicit Biases in Language Models”
👉 arxiv.org/abs/2501.17420
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New preprint: “Actions Speak Louder Than Words: Agent Decisions Reveal Implicit Biases in Language Models”
👉 arxiv.org/abs/2501.17420
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January 30, 2025 at 6:04 PM
🚨 Advanced LLMs may sound unbiased—but it's a ruse. We show that demographically-informed language agents reveal stark, implicit biases in decision-making.
New preprint: “Actions Speak Louder Than Words: Agent Decisions Reveal Implicit Biases in Language Models”
👉 arxiv.org/abs/2501.17420
[1/n]
New preprint: “Actions Speak Louder Than Words: Agent Decisions Reveal Implicit Biases in Language Models”
👉 arxiv.org/abs/2501.17420
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Just transitioning from Twitter to here, is there any scholars, especially those in Communication, HCI or media psychology, I could follow?
December 9, 2024 at 3:52 AM
Just transitioning from Twitter to here, is there any scholars, especially those in Communication, HCI or media psychology, I could follow?