Digital Commons Network^™

Dreamcs: Geometry-Aware Text-To-3d Generation With Unpaired 3d Reward Supervision, Xiandong Zou, Ruihao Xia, Hongsong Wang, Pan Zhou

Research Collection School Of Computing and Information Systems

While text-to-3D generation has attracted growing interest, existing methods often struggle to produce 3D assets that align well with human preferences. Current preference alignment techniques for 3D content typically rely on hardly-collected preference-paired multi-view 2D images to train 2D reward models, when then guide 3D generation — leading to geometric artifacts, such as the Janus face problem and geometric incompleteness, due to their inherent 2D bias. To address these limitations, we construct 3D-MeshPref, the first large-scale unpaired 3D preference dataset, featuring diverse 3D meshes annotated by a large language model and refined by human evaluators. We then develop RewardCS, the …

Where Did It Go Wrong? Attributing Undesirable Llm Behaviors Via Representation Gradient Tracing, Zhe Li, Wei Zhao, Yige Li, Jun Sun

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have demonstrated remarkable capabilities, yet their deployment is frequently undermined by undesirable behaviors such as generating harmful content, factual inaccuracies, and societal biases. Diagnosing the root causes of these failures poses a critical challenge for AI safety. Existing attribution methods, particularly those based on parameter gradients, often fall short due to prohibitive noisy signals and computational complexity. In this work, we introduce a novel and efficient framework that diagnoses a range of undesirable LLM behaviors by analyzing representation and its gradients, which operates directly in the model's activation space to provide a semantically meaningful signal linking …

Propaganda Ai: An Analysis Of Semantic Divergence In Large Language Models, Nay Myat Min, Long H. Pham, Yige Li, Jun Sun

Research Collection School Of Computing and Information Systems

Large language models (LLMs) can exhibit concept-conditioned semantic divergence: common high-level cues (e.g., ideologies, public figures) elicit unusually uniform, stance-like responses that evade token-trigger audits. This behavior falls in a blind spot of current safety evaluations, yet carries major societal stakes, as such concept cues can steer content exposure at scale. We formalize this phenomenon and present RAVEN (Response Anomaly Vigilance), a black-box audit that flags cases where a model is simultaneously highly certain and atypical among peers by coupling semantic entropy over paraphrastic samples with cross-model disagreement. In a controlled LoRA fine-tuning study, we implant a concept-conditioned stance using …

Managing Reproducibility Debt In Scientific Software: A Practical Framework, Zara Hassan, Christoph Treude, Graham Williams, Michael Norrish, Alex Potanin

Research Collection School Of Computing and Information Systems

Scientific software includes end-user applications, modelling tools, research software for publications, and production systems for real users. It plays a key role across various scientific disciplines by enabling large-scale computation, simulation, and data analysis. Unlike commercial software, scientific software is often developed in dynamic research environments with limited engineering practices, documentation, or testing. This makes it fragile and difficult to reproduce results, even when code and data are available, conditions in which Reproducibility Debt (RpD) accumulates. This paper presents the Reproducibility Debt Management Framework (RpD-MF), which is grounded in evidence from a systematic literature review, practitioner interviews, and a global …

Llmqua: Practical Backdoor Injection On Large Language Model Quantization, Xiangxiang Chen, Peixin Zhang, Jun Sun, Jin Song Dong, Wenhai Wang, Jingyi Wang

Research Collection School Of Computing and Information Systems

Quantization is widely used to enable local deployment of large language models (LLMs) on resource-constrained devices. Recent work (e.g., QuRA) shows quantization can be exploited via rounding manipulation to implant backdoors. However, such an attack has been evaluated only on small models and does not directly apply to LLMs due to three key constraints: (1) limited poisoning data from small, task-agnostic calibration sets; (2) layer-wise quantization restricting adversarial access to global representations; and (3) lack of gradient access in quantization pipelines, blocking gradient-based attacks.We propose LLMQuA, a practical quantization-phase backdoor attack tailored to the LLM setting. LLMQuA (i) injects backdoors …

Prompting Frameworks For Large Language Models: A Survey, Xiaoxia Liu, Jingyi Wang, Jun Sun, Xiaohan Yuan, Guoliang Dong, Peng Di, Wenhai Wang, Dongxia Wang

Research Collection School Of Computing and Information Systems

Since the launch of ChatGPT, a powerful AI Chatbot developed by OpenAI, large language models (LLMs) have made significant advancements in both academia and industry, bringing about a fundamental engineering paradigm shift in many areas. While LLMs are powerful, it is also crucial to best use their power where “prompt” plays a core role. However, the booming LLMs themselves, including excellent APIs like ChatGPT, have several inherent limitations: (1) temporal lag of training data, and (2) the lack of physical capabilities to perform external actions. Recently, we have observed the trend of utilizing prompt-based tools to better utilize the power …

Teamwise: Exploring Virtually Embodied Ai Facilitation For Video-Based Team Onboarding, Venkata Akhila Rani Obilisetty, Mikkeline Elleby, Anthony Tang, April Yi Wang

Research Collection School Of Computing and Information Systems

AI-mediated facilitation has emerged as a scalable approach to supporting onboarding and coordination in newly formed remote teams, yet existing systems are predominantly text-based. To explore how video-based, virtually embodied AI facilitators shape team experiences, we present TeamWise, which joins video-based onboarding meetings as an on-screen avatar. TeamWise guides teams through a structured facilitation flow of low-stakes activities to foster rapport, mutual awareness, and shared identity. While the overall sequence of activities and facilitation goals is predefined, the facilitator’s turn-by-turn utterances are generated dynamically by an LLM in response to participant input. We conducted a formative study of TeamWise to …

Challenges In Synchronous And Remote Collaboration Around Visualization, Matthew Brehmer, Maxime Cordeil, Christophe Hurter, Takayuki Itoh, Wolfgang Büschel, Mahmood Jasim, Arnaud Prouzeau, David Saffo, Lyn Bartram, Sheelagh Carpendale, Chen Zhu-Tian, Andrew Cunningham, Anthony Tang, Samuel Huron, Masahiko Itoh, Arpit Joshi, Kiyoshi Kiyokawa, Hideaki Kuzuoka, Bongshin Lee, Guillermo Molina León

Research Collection School Of Computing and Information Systems

We characterize 16 challenges faced by those investigating and developing remote and synchronous collaborative experiences around visualization. Our work reflects the perspectives and prior research efforts of an international group of 29 experts from across human-computer interaction and visualization sub-communities. The challenges are anchored around five collaborative activities that exhibit a centrality of visualization and multimodal communication. These activities include exploratory data analysis, creative ideation, visualization-rich presentations, joint decision making grounded in data, and real-time data monitoring. The challenges also reflect the changing dynamics of these activities in the face of recent advances in extended reality (XR) and artificial intelligence …

Reasoning On Time-Series For Financial Technical Analysis, Kelvin J. L. Koa, Jan Chen, Yunshan Ma, Huanhuan Zheng, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

While Large Language Models have been used to produce interpretable stock forecasts, they mainly focus on analyzing textual reports but not historical price data, also known as Technical Analysis. This task is challenging as it switches between domains: the stock price inputs and outputs lie in the time-series domain, while the reasoning step should be in natural language. In this work, we introduce Verbal Technical Analysis (VTA), a novel framework that combine verbal and latent reasoning to produce stock time-series forecasts that are both accurate and interpretable. To reason over time-series, we convert stock price data into textual annotations and …

Visual Loop: Bridging The Cognitive Gap In Software Development Through Visual-Ai Collaboration, Luis Filipe Fernandes Gomes, Xin Zhou, David Lo, Rui Abreu

Research Collection School Of Computing and Information Systems

Software development remains predominantly text-centric, despite decades of evidence showing that developers think and communicate visually. While sketches and diagrams externalize developers’ mental models, they remain disconnected from source code and quickly become outdated. Recent advances in foundation models, capable of both code and visual reasoning, create an opportunity to unify these representations. In this vision paper, we introduce Visual Loop, a continuous visual development environment that keeps code and informal sketches in bidirectional synchronization. Our prototype connects a code editor with a tablet-based visualization workspace, allowing developers to explore, annotate, and modify systems through freehand sketches interpreted by multimodal …

Autobackdoor: Automating Backdoor Attacks Via Llm Agents, Yige Li, Zhe Li, Wei Zhao, Nay Myat Min, Hanxun Huang, Xingjun Ma, Jun Sun

Research Collection School Of Computing and Information Systems

Backdoor attacks pose a serious threat to the secure deployment of large language models (LLMs), enabling adversaries to implant hidden behaviors triggered by specific inputs. However, existing methods often rely on manually crafted triggers and static data pipelines, which are rigid, labor-intensive, and inadequate for systematically evaluating modern defense robustness. As AI agents become increasingly capable, there is a growing need for more rigorous, diverse, and scalable \textit{red-teaming frameworks} that can realistically simulate backdoor threats and assess model resilience under adversarial conditions. In this work, we introduce \textsc{AutoBackdoor}, a general framework for automating backdoor injection, encompassing trigger generation, poisoned data …

Preliminaries & Editor's Introduction: In The Work Of Tension, Dinah Tapia Roma

Akda: The Asian Journal of Literature, Culture, Performance

No abstract provided.

Ang Estados Unidos Sa Hiraya Ni Manong Frankie: Paglalapat Ng Tematikong Pagsusuri Sa Mga Nobela Ni F. Sionil Jose Sa Diwa Ng Araling Kabanwahan (The United States In Manong Frankie’S Mind: Araling Kabanwahan In The Thematic Analysis Of F. Sionil Jose’S Novels), Mark Joseph Pascua Santos

Akda: The Asian Journal of Literature, Culture, Performance

Abstrak

Ginamit ng pag-aaral ang tematikong pagsusuri upang isalansan ang mga datos mula sa 13 nobela ni F. Sionil Jose ukol sa Estados Unidos at ugnayang Pilipino-Amerikano. Isinagawa ang paspasang pagbasa sa mga nobela, itinala ang mga pahinang may banggit sa “Estados Unidos” at mga salitang kaugnay nito, isinaalang-alang ang konteksto ng bawat banggit, at pinalitaw ang mga temang umiinog dito. Para ito sa layuning makapag-ambag sa Araling Kabanwahan (pagsasa-Filipino ng Area Studies/International Studies), kung saan pinag-aaralan ang mga kabihasnan sa labas ng Pilipinas gamit ang wika-at-perspektibang Pilipino. Hinahangad ng pag-aaral na maitaguyod ang ibayong interseksyon sa pagitan ng Araling …

Han Kang On Time And Body, Clarissa V. Militante

Akda: The Asian Journal of Literature, Culture, Performance

Han Kang's novel Human Acts delves into the liminality of time-space, as memories about a historical event become a ritual of remembering for those who survived tragedy. Time is not only historical, but can also be foregrounded by bodies, both dead and surviving. The survivors do not merely recall the past but inhabit it, too, so that they will not forget. This in itself is an act of defiance and resistance.

Ultra-High Vacuum Outgassing Characterization Of Thermally Processed Low-Carbon Steel For Advanced Particle Accelerator And Gravitational Wave Detector Applications, Aiman H. Al-Allaq

Mechanical & Aerospace Engineering Theses & Dissertations

This dissertation investigated AISI 1020 low-carbon steel as an alternative vacuum chamber material to conventional stainless steel for ultra-high vacuum (UHV) and extreme-high vacuum (XHV) applications. After a 400 °C/48 h bake, AISI 1020 tube chambers achieved a hydrogen outgassing rate of 2.4 × 10⁻¹⁶ Torr·L·s⁻¹·cm⁻², approximately 2,300 times lower than the prebaked 316L stainless-steel comparator, among the lowest hydrogen outgassing rates ever reported for an uncoated metallic vacuum chamber. Bare and magnetite-coated AISI 1020 chambers were then compared using throughput and rate-of-rise methods. The magnetite coating yielded 5× lower water outgassing at room temperature, but this advantage disappeared after …

Dissecting The Etiology Of Alcohol Use Disorder By An Integrative Heritable Component Approach, Ivy Garrenton

Computer Science Theses & Dissertations

Alcohol Use Disorder (AUD) is a pervasive condition characterized by complex interplay among genetic, phenotypic, and environmental factors. Although previous studies have identi fied genetic loci associated with alcohol consumption, these efforts have not captured the genetic heterogeneity and gene-environment interactions underlying AUD pathogenesis. To address this critical gap, we developed a novel statistical methodology that integrates phenotypic, genotypic, and environmental data through an environmentally modified Genetic Relationship Matrix (GRM) to derive AUD-related traits with enhanced heritability.

This approach demonstrated superior performance in both simulated and real-world datasets. Traits derived using the environmentally modified GRM exhibited significantly higher estimated heritability …

Artificial Intelligence For Better Inclusive Higher Education: A Study Of A Private University In Cairo, Shereen Ismail

Theses and Dissertations

This study explores how artificial intelligence (AI) tools relate to accessibility for visually impaired students in Egyptian higher education, focusing on University Y in Cairo. Grounded in the Social Model of Disability and Universal Design for Learning, it examines visually impaired students’ lived experiences of AI mediated access and the institutional conditions that shape these experiences. A qualitative phenomenological design was used, with semi-structured interviews conducted with visually impaired undergraduate students and key staff involved in assistive technology, teaching and learning, and student wellbeing; data were analyzed thematically. The findings indicate that participants experience AI tools (e.g., chatbots, transcription and …

Library 5.0 And Predictive Intelligence: A Conceptual Literature Review, Shrikant Ramteke

Library Philosophy and Practice (e-journal)

Abstract

Purpose In this paper, the author will explore the nature of predictive intelligence developed in modern libraries as part of the overall progression of libraries toward Library 5.0. It aims to give a conceptual clarity of what predictive services are, how they have been influenced by technology and ethics, and how they fit into existing traditions of librarianship.

Design/methodology/approach This paper utilizes a qualitative, conceptual literature review method as a scholarly inquiry. Approximately 60 peer-reviewed journal articles and institutional reports published after 2018 and before 2025 were purposively sampled from leading databases in library and information science and information …

Artificial Intelligence And Chatgpt In Libraries: A Bibliometric Analysis Of Social Science Research (2022–2026), Shrikant W. Ramteke, Yogesh B. Daphal

Library Philosophy and Practice (e-journal)

Purpose

This paper will map the world of research on artificial intelligence and chatbots in libraries systematically by analysing the trends in publications, intellectual organization, pattern of collaboration, and the way the Social Science literature has evolved with the theme of artificial intelligence and chatbots published between 2022 and 2026.

Design/methodology/approach

We have conducted a thorough bibliometric search where we have considered 7,660 peer-reviewed journal articles found in Scopus database. The collection was compiled according to the PRISMA requirements, and later, both performance-based metrics and science mapping techniques were applied.The whole process of visualisation and analysis was carried out through …

Exploring Stakeholder Awareness, Institutional Support, And Implementation Of Co-Design In Higher Education: Challenges And Ai Readiness, Shrikant W. Ramteke

Library Philosophy and Practice (e-journal)

Abstract

Purpose In this paper, the gap between the discussion of co-design in the theory and its application in the higher education practice is identified. By contrasting the level of knowledge that the stakeholders possess regarding co-design, the support that the institutions provide them, and their implementation of co-design in practice, it leaves a few general trends, attitudes, and problems.

Design/methodology/approach We were given a structured survey, which measured composite indices of awareness, institutional support, implementation and AI readiness. The study used non-probability purposive sampling technique since it will address the stakeholders who have firsthand experience in the participatory design …

Academic Libraries As A Platform For Indigenous And Agricultural Knowledge Sharing In Rural Communities: A Conceptual And Review-Based Approach, Jenifer Yesmin Laskar, Pradip Kumar Singha

Library Philosophy and Practice (e-journal)

Agriculture and traditional knowledge are the roots of rural economy, particularly in biologically sensitive areas with diverse cultures. Preserving traditional knowledge in terms of local farming practices is an activity that is generally associated with cultural practices in these areas. The potentiality of academic libraries in terms of bridging roles for dissemination, curation, and sharing of Indigenous knowledge as well as Agriculture knowledge in the respective areas remains largely overlooked. It is an attempt to explore, indicate, and address through the theoretical approaches based upon an understanding of library science concepts, Indigenous studies, community development, sustainability studies, the roles of …

Want To Be A Higher Education President? A Comparative Case Study Of The Traits, Attributes, And Skills Of Four Current Higher Education Presidents, Brian C. Nees

Teacher Education, Educational Leadership & Policy ETDs

This qualitative study is a comparative case study of higher education presidents. It examines how current higher education presidents described the essential traits, attributes, and skills of the position and whether these presidents have always possessed them or acquired them over time and through experience. This topic is essential, as it appears that presidents are leaving their positions sooner, and this research provides incoming presidents with preparation advice and current presidents with advice to help them stay in their positions longer. The data were obtained through resumes, a trait questionnaire, and interviews with current higher education presidents. These three data …

Dean's Update, April 2026, Neil W. Schluger

SOM Dean's Research Newsletter

No abstract provided.

Electronic Resource Updates - 2026 Q1, Brigitte Galauner, Gregg Harris

Electronic Resources Quarterly Updates

No abstract provided.

Mathematics In Crisis: Predictors Of Achievement For Black And Latino High School Students Post-Covid-19, David Mikel Etheridge

Dissertations

This quantitative study examines systemic factors predicting math achievement for Black and Latino high school students in Chicagoland's 2025 graduating class, using public Illinois School Report Card data. It identifies teacher qualifications, chronic absenteeism, and school ratings as statistically significant predictors, confirming systemic inequities. The study advocates for structural policy reform, targeted teacher investment, and culturally responsive pedagogy to achieve equity and disrupt barriers for marginalized students.

Transformative Leadership In Action: A Narrative Study Of Principals’ Influence On Students’ Achievement, Staci Taylor Fullmighter

Electronic Theses and Dissertations

This narrative inquiry examined how principals in low-performing high-minority urban schools use transformational leadership to improve academic outcomes. The purpose of this research was to describe principals’ leadership behaviors that are perceived to positively influence academic achievement among students who identify as minority and low socioeconomic status and are attending or have attended urban school districts with high concentrations of the identified population. Data were collected through semistructured interviews with principals, and narratives were studied to identify trends across their experiences. Four themes emerged: (a) trust and shared accountability, (b) encouraging creativity and risk-taking, (c) communicating shared goals, and (d) …

African American Male Dual Enrollment Graduates Perceptions Of The Transition To The 4-Year University, Kendra L. Harrison

Electronic Theses and Dissertations

The purpose of this qualitative exploratory case study was to explore how African American men who earned an associate degree from dual enrollment programs in Texas perceive the transition to a 4-year university to pursue a bachelor’s degree. The 4S model of Schlossberg’s transition theory was the conceptual framework that undergirded the study. Purposive sampling was used to recruit 20 participants. The researcher collected and triangulated data using a questionnaire and semistructured interviews and analyzed it using six-step thematic analysis. Results revealed competence and confidence from dual enrollment program resulted in a smooth transition to college, participants’ African American male …

Discovery Of A New Cataclysmic Variable, Galex J211240.9–422959, Via The Exoasteroids Citizen Science Project, Mei Lin, Aaron Meisner, Siyi Xu, Arttu Sainio, Liliana E. Rivera Sandoval, Paula Szkody, Christopher Tanner, Laura K. Rogers, Sarah Casewell, Austin Humphreys

Physics & Astronomy Faculty Publications

We report the discovery and spectroscopic classification of a new cataclysmic variable (CV), GALEX J211240.9–422959 (Gaia DR3 source ID 6580244356829724928). This object was initially identified as a source exhibiting strong mid-infrared variability in Wide-field Infrared Survey Explorer (WISE) time-series data by a volunteer participating in the Exoasteroids citizen science project. Prompted by this strong variability at 3–5 μm, we obtained a follow-up optical spectrum using the Gemini Multi-Object Spectrograph at the Gemini South Observatory. The resulting spectrum displays a blue continuum dominated by strong, broad emission lines of the hydrogen Balmer series and neutral helium, spectral signatures characteristic of …

A Search For Magnetically Active Binary Counterparts To Chandra X-Ray Sources In 47 Tucanae With Hst Imaging, Haldan N. Cohn, Phyllis M. Lugger, Craig O. Heinke, Maureen Van Den Berg, Liliana Rivera Sandoval, Jay Anderson

Physics & Astronomy Faculty Publications

Using Hubble Space Telescope (HST) imaging, we searched for candidate magnetically active binary (AB) counterparts to low-luminosity Chandra X-ray sources in the globular cluster 47 Tucanae (NGC 104). We consider the catalog of 300 Chandra sources within the half-light radius of 47 Tuc compiled by C. O. Heinke et al. (2005). The 10-band HST imaging used to identify these sources spans the range from 275–658 nm. We generated a cross-matched catalog of objects detected by photometric reductions. We used this catalog to search for counterparts within Chandra source error circles using color–magnitude diagrams and a color–color plot. We …

World Transit Research April 2026 Newsletter, Institute Of Transport Studies Monash University

World Transit Research Newsletter

No abstract provided.