Tootfinder

XTRA: Cross-Lingual Topic Modeling with Topic and Representation Alignments
Tien Phat Nguyen, Vu Minh Ngo, Tung Nguyen, Linh Van Ngo, Duc Anh Nguyen, Sang Dinh, Trung Le
https://arxiv.org/abs/2510.02788

XTRA: Cross-Lingual Topic Modeling with Topic and Representation Alignments
Cross-lingual topic modeling aims to uncover shared semantic themes across languages. Several methods have been proposed to address this problem, leveraging both traditional and neural approaches. While previous methods have achieved some improvements in topic diversity, they often struggle to ensure high topic coherence and consistent alignment across languages. We propose XTRA (Cross-Lingual Topic Modeling with Topic and Representation Alignments), a novel framework that unifies Bag-of-Words …

Topic Modeling as Long-Form Generation: Can Long-Context LLMs revolutionize NTM via Zero-Shot Prompting?
Xuan Xu, Haolun Li, Zhongliang Yang, Beilin Chu, Jia Song, Moxuan Xu, Linna Zhou
https://arxiv.org/abs/2510.03174

Topic Modeling as Long-Form Generation: Can Long-Context LLMs revolutionize NTM via Zero-Shot Prompting?
Traditional topic models such as neural topic models rely on inference and generation networks to learn latent topic distributions. This paper explores a new paradigm for topic modeling in the era of large language models, framing TM as a long-form generation task whose definition is updated in this paradigm. We propose a simple but practical approach to implement LLM-based topic model tasks out of the box (sample a data subset, generate topics and representative text with our prompt, text assi…

This article suggests that research in 3D rendering contributed to machine- assisted assassinations of children in Gaza.
It is a topic very close to my heart. When I was starting my academic career at the dept. of Digital Storytelling of ZGDV in Darmstadt, Germany, I took a lot of inspiration by colleagues from the Institute of Creative Technologies at the University of Southern California. Their work was funded by DARPA and a lot of it was about military training. Let alone the fact t…

How Pixar’s technology helped develop more lethal military drones
The 3D modeling systems that made ‘Toy Story’ possible have been key to enabling unmanned aircraft to navigate and aim their weapons with greater precision

What influenced the lack of diversity in CSR after the company's losses: evidence from topic modeling
Ruiying Liu, Yuchi Li, Zhanli Li
https://arxiv.org/abs/2509.23424 https…

What influenced the lack of diversity in CSR after the company's losses: evidence from topic modeling
The diversity of corporate social responsibility (CSR) disclosure is a crucial dimension of corporate transparency, reflecting the breadth and resilience of a firm's social responsibility. Using CSR reports of Chinese A-share firms from 2006 to 2023, this paper applies Latent Dirichlet Allocation (LDA) to extract topics and quantifies disclosure diversity using the Gini-Simpson index and Shannon entropy. Regression results show that corporate losses significantly compress CSR topic diversity, c…

On my way to devSec() in Regensburg to talk about formal methods.
One would think this would be a major topic, given the rising criticality of software systems, and the availability of techniques and tools for decades - but no.
https://www.heise-devsec.de/veranstaltun…

heise devSec – die Konferenz für sichere Software- und Webentwicklung
Sichere Software beginnt vor der ersten Zeile Code ... Schwerpunkte im Herbst 2025 sind GenAI und Vibe Computing, Secure Software Development Lifecycle (SSDL), KI in der Softwareentwicklung, DevSecOps, Threat Modeling und Software Supply Chain Security.

Piecing together formic acid isomerism in dark clouds. Detection of cis-formic acid in TMC-1 and astrochemical modeling
G. Molpeceres, M. Ag\'undez, M. Mallo, C. Cabezas, M. Sanz-Novo, V. M. Rivilla, J. Garc\'ia de la Concepci\'on, I. Jim\'enez-Serra, J. Cernicharo
https://arxiv.org/abs/2509.18315

Tides of Memory: Digital Echoes of Netizen Remembran
Lingyu Peng, Chang Ge, Liying Long, Xin Li, Xiao Hu, Pengda Lu, Qingchuan Li, Jiangyue Wu
https://arxiv.org/abs/2509.16579 h…

Tides of Memory: Digital Echoes of Netizen Remembran
This artwork presents an interdisciplinary interaction installation that visualizes collective online mourning behavior in China. By focusing on commemorative content posted on Sina Weibo following the deaths of seven prominent Chinese authors, the artwork employs data scraping, natural language processing, and 3D modeling to transform fragmented textual expressions into immersive digital monuments. Through the analysis of word frequencies, topic models, and user engagement metrics, the system …

HICode: Hierarchical Inductive Coding with LLMs
Mian Zhong, Pristina Wang, Anjalie Field
https://arxiv.org/abs/2509.17946 https://arxiv.org/pdf/2509.17946

HICode: Hierarchical Inductive Coding with LLMs
Despite numerous applications for fine-grained corpus analysis, researchers continue to rely on manual labeling, which does not scale, or statistical tools like topic modeling, which are difficult to control. We propose that LLMs have the potential to scale the nuanced analyses that researchers typically conduct manually to large text corpora. To this effect, inspired by qualitative research methods, we develop HICode, a two-part pipeline that first inductively generates labels directly from an…

Beyond the Silence: How Men Navigate Infertility Through Digital Communities and Data Sharing
Tawfiq Ammari, Zarah Khondoker, Yihan Wang, Nikki Roda
https://arxiv.org/abs/2509.10003

Beyond the Silence: How Men Navigate Infertility Through Digital Communities and Data Sharing
Men experiencing infertility face unique challenges navigating Traditional Masculinity Ideologies that discourage emotional expression and help-seeking. This study examines how Reddit's r/maleinfertility community helps overcome these barriers through digital support networks. Using topic modeling (115 topics), network analysis (11 micro-communities), and time-lagged regression on 11,095 posts and 79,503 comments from 8,644 users, we found the community functions as a hybrid space: informal dia…

The anatomy of Green AI technologies: structure, evolution, and impact
Lorenzo Emer, Andrea Mina, Andrea Vandin
https://arxiv.org/abs/2509.10109 https://ar…

The anatomy of Green AI technologies: structure, evolution, and impact
Artificial intelligence (AI) is a key enabler of innovation against climate change. In this study, we investigate the intersection of AI and climate adaptation and mitigation technologies through patent analyses of a novel dataset of approximately 63 000 Green AI patents. We analyze patenting trends, corporate ownership of the technology, the geographical distributions of patents, their impact on follow-on inventions and their market value. We use topic modeling (BERTopic) to identify 16 major …