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...
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🚨 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...
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Thanks for sharing our research. Here to see how internal cross-functional teams (journalists, AI professionals) work in newsrooms!

We will submit and I would like to attend Nick :)

💡 Our study extends research on collective algorithmic action and its implications for platform governance.

🔍 Key Findings:
📌 Core fans construct and refine collective folk theories of algorithms
📌 Strategic persuasion mobilizes general fans at scale
📌 Actions are systematized, cross-platform, and culturally adaptive

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...

🚀 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

Thanks for my fantastic colleagues Xianzhe Fan, @felixsimon.bsky.social Bingbing Zhang and Motahhare Eslami, while the initial version received a great suggestion from my master advisor at Oxford, Professor Ralph Schroeder

Our study sheds light on cross-collaboration strategies and offers recommendations to enhance future AI integration in the newsroom.

Through interviews with 17 journalists, 6 AI technologists, and 3 AI workers from leading news organizations, we explore current practices, challenges, and opportunities for AI-driven collaboration in journalism.

"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...

🚀 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?

🚨 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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Thanks Frank:)🥰

Just transitioning from Twitter to here, is there any scholars, especially those in Communication, HCI or media psychology, I could follow?