5 papers
CooperBench: Why Coding Agents Cannot be Your Teammates Yet
Arpandeep Khatua, Hao Zhu, Peter Tran +8
Resolving team conflicts requires not only task-specific competence, but also social intelligence to find common ground and build consensus. As AI agents increasingly collaborate o…
Modeling and Detecting Company Risks from News: A Case Study in Bloomberg News
Jiaxin Pei, Soumya Vadlamannati, Liang-Kang Huang +2
Identifying risks associated with a company is important to investors and the well-being of the overall financial market. In this study, we build a computational framework to autom…
Writing Patterns Reveal a Hidden Division of Labor in Scientific Teams
Lulin Yang, Jiaxin Pei, Lingfei Wu
The recognition of individual contributions is central to the scientific reward system, yet coauthored papers often obscure who did what. Traditional proxies like author order assu…
User-Driven Value Alignment: Understanding Users' Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions
Xianzhe Fan, Qing Xiao, Xuhui Zhou +4
Large language model-based AI companions are increasingly viewed by users as friends or romantic partners, leading to deep emotional bonds. However, they can generate biased, discr…
Hidden Division of Labor in Scientific Teams Revealed Through 1.6 Million LaTeX Files
Jiaxin Pei, Lulin Yang, Lingfei Wu
Recognition of individual contributions is fundamental to the scientific reward system, yet coauthored papers obscure who did what. Traditional proxies-author order and career stag…