Xinyi You

Yang Yue, Xiaoran Yu, Xinyi You et al.

Open source development, to a great extent, is a type of social movement in which shared ideologies play critical roles. For participants of open source development, ideology determines how they make sense of things, shapes their thoughts, actions, and interactions, enables rich social dynamics in their projects and communities, and hereby realizes profound impacts at both individual and organizational levels. While software engineering researchers have been increasingly recognizing ideology's importance in open source development, the notion of "ideology" has shown significant ambiguity and vagueness, and resulted in theoretical and empirical confusion. In this article, we first examine the historical development of ideology's conceptualization, and its theories in multiple disciplines. Then, we review the extant software engineering literature related to ideology. We further argue the imperatives of developing an empirical theory of ideology in open source development, and propose a research agenda for developing such a theory. How such a theory could be applied is also discussed.

Peng Xu, Shengwu Xiong, Jiajun Zhang et al.

This paper reviews the MARS2 2025 Challenge on Multimodal Reasoning. We aim to bring together different approaches in multimodal machine learning and LLMs via a large benchmark. We hope it better allows researchers to follow the state-of-the-art in this very dynamic area. Meanwhile, a growing number of testbeds have boosted the evolution of general-purpose large language models. Thus, this year's MARS2 focuses on real-world and specialized scenarios to broaden the multimodal reasoning applications of MLLMs. Our organizing team released two tailored datasets Lens and AdsQA as test sets, which support general reasoning in 12 daily scenarios and domain-specific reasoning in advertisement videos, respectively. We evaluated 40+ baselines that include both generalist MLLMs and task-specific models, and opened up three competition tracks, i.e., Visual Grounding in Real-world Scenarios (VG-RS), Visual Question Answering with Spatial Awareness (VQA-SA), and Visual Reasoning in Creative Advertisement Videos (VR-Ads). Finally, 76 teams from the renowned academic and industrial institutions have registered and 40+ valid submissions (out of 1200+) have been included in our ranking lists. Our datasets, code sets (40+ baselines and 15+ participants' methods), and rankings are publicly available on the MARS2 workshop website and our GitHub organization page https://github.com/mars2workshop/, where our updates and announcements of upcoming events will be continuously provided.