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Efficient Function Orchestration For Large Language Models, Xiaoxia Liu, Peng Di, Cong Li, Jun Sun, Jingyi Wang Feb 2026

Efficient Function Orchestration For Large Language Models, Xiaoxia Liu, Peng Di, Cong Li, Jun Sun, Jingyi Wang

Research Collection School Of Computing and Information Systems

Function calling is a fundamental capability of today's large language models, but sequential function calling posed efficiency problems. Recent studies have proposed to request function calls with parallelism support in order to alleviate this issue. However, they either delegate the concurrent function calls to users for execution which are conversely executed sequentially, or overlook the relations among various function calls, rending limited efficiency. This paper introduces LLMOrch, an advanced framework for automated, parallel function calling in large language models. The key principle behind LLMOrch is to identify an available processor to execute a function call while preventing any single processor …

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Exploring Jvm Garbage Collector Testing With Event-Coverage, Kai Zheng, Yingquan Zhao, Junjie Chen, Hanmo You, Haoyu Wang, Haoyu Wang, Tianchang Gao Feb 2026

Exploring Jvm Garbage Collector Testing With Event-Coverage, Kai Zheng, Yingquan Zhao, Junjie Chen, Hanmo You, Haoyu Wang, Haoyu Wang, Tianchang Gao

Research Collection School Of Computing and Information Systems

Garbage Collection (GC) in the Java Virtual Machine (JVM) serves as an automatic memory management mechanism, efficiently reclaiming unused memory space in different production scenarios. To optimize JVM performance, developers typically fine-tune the garbage collector by identifying an optimal set of GC configurations for specific scenarios. Despite the sophisticated design of garbage collectors, they still have the potential for bugs in different settings, and these bugs can result in more severe consequences. Hence, comprehensive testing of these garbage collectors is imperative before their release. Code coverage criteria are typically employed to assess the comprehensiveness of a test suite. However, traditional …

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Less Is More: Docstring Compression In Code Generation, Guang Yang, Yu Zhou, Wei Cheng, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, Xin Zhou, Ke Liu, David Lo, Taolue Chen Feb 2026

Less Is More: Docstring Compression In Code Generation, Guang Yang, Yu Zhou, Wei Cheng, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, Xin Zhou, Ke Liu, David Lo, Taolue Chen

Research Collection School Of Computing and Information Systems

The widespread use of Large Language Models (LLMs) in software engineering has intensified the need for improved model and resource efficiency. In particular, for neural code generation, LLMs are used to translate function/method signature and DocString to executable code. DocStrings, which capture user requirements for the code and are typically used as the prompt for LLMs, often contain redundant information. Recent advancements in prompt compression have shown promising results in Natural Language Processing (NLP), but their applicability to code generation remains uncertain. Our empirical study shows that the state-ofthe-art prompt compression methods achieve only about 10% reduction, as further reductions …

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Constrained Pricing In Logit-Based Revenue Management, Qian Shao, Tien Mai, Shih-Fen Cheng Feb 2026

Constrained Pricing In Logit-Based Revenue Management, Qian Shao, Tien Mai, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

We consider a dynamic pricing problem in network revenue management in which customer behavior is predicted by a choice model, that is, the multinomial logit model. The problem, even in the static setting (i.e., customer demand remains unchanged over time), is highly nonconcave in prices. Existing studies mostly rely on the observation that the objective function is concave in terms of purchasing probabilities, implying that the static pricing problem with linear constraints on purchasing probabilities can be efficiently solved. However, this approach is limited in handling constraints on prices, noting that such constraints could be highly relevant in some real …

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Fcghunter: Towards Evaluating Robustness Of Graph-Based Android Malware Detection, Shiwen Song, Xiaofei Xie, Ruitao Feng, Qi Guo, Sen Chen Feb 2026

Fcghunter: Towards Evaluating Robustness Of Graph-Based Android Malware Detection, Shiwen Song, Xiaofei Xie, Ruitao Feng, Qi Guo, Sen Chen

Research Collection School Of Computing and Information Systems

Graph-based detection methods leveraging Function Call Graph (FCG) have shown promise for Android malware detection (AMD) due to their semantic insights. However, the deployment of malware detectors in dynamic and hostile environments raises significant concerns about their robustness. While recent approaches evaluate the robustness of FCG-based detectors using adversarial attacks, their effectiveness is constrained by the vast perturbation space, particularly across diverse models and features. To address these challenges, we introduce FCGHunter, a novel robustness testing framework for FCG-based AMD systems. Specifically, FCGHunter employs innovative techniques to enhance exploration and exploitation within this huge search space. Initially, it identifies critical …

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Quantum Chebyshev Transform-Based Graph Neural Networks For Financial Fraud Detection, Minrui Xu, Bingyan Guan, Bethel Hui Ting Loke, Paul R. Griffin Feb 2026

Quantum Chebyshev Transform-Based Graph Neural Networks For Financial Fraud Detection, Minrui Xu, Bingyan Guan, Bethel Hui Ting Loke, Paul R. Griffin

Research Collection School Of Computing and Information Systems

Financial fraud detection is a critical challenge requiring accurate identification of anomalous patterns in complex transaction networks. Graph Neural Networks (GNNs) have emerged as powerful tools for fraud detection by capturing relational structures among entities. Meanwhile, quantum computing offers new possibilities to enhance machine learning through high-dimensional Hilbert spaces and parallelism. In this paper, we propose a hybrid classical-quantum model called QCTGNN (Quantum Chebyshev Transform-based Graph Neural Network) for financial fraud detection. The QCTGNN integrates a classical graph neural network component based on Simplified Graph Convolutions (SGConv) with a quantum component that performs a Chebyshev polynomial-based transform via variational quantum …

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Lagrangian Motion Fields For Long-Term Motion Generation, Yifei Yang, Zikai Huang, Chenshu Xu, Shengfeng He Feb 2026

Lagrangian Motion Fields For Long-Term Motion Generation, Yifei Yang, Zikai Huang, Chenshu Xu, Shengfeng He

Research Collection School Of Computing and Information Systems

Long-term motion generation is a challenging task that requires producing coherent and realistic sequences over extended durations. Current methods primarily rely on framewise motion representations, which capture only static spatial details and overlook temporal dynamics. This approach leads to significant redundancy across the temporal dimension, complicating the generation of effective long-term motion. To overcome these limitations, we introduce the novel concept of Lagrangian Motion Fields, specifically designed for long-term motion generation. By treating each joint as a Lagrangian particle with uniform velocity over short intervals, our approach condenses motion representations into a series of "supermotions" (analogous to superpixels). This method …

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Zero-Shot Video Translation Via Token Warping, Haiming Zhu, Yangyang Xu, Jun Yu, Shengfeng He Feb 2026

Zero-Shot Video Translation Via Token Warping, Haiming Zhu, Yangyang Xu, Jun Yu, Shengfeng He

Research Collection School Of Computing and Information Systems

With the revolution of generative AI, video-related tasks have been widely studied. However, current state-of-the-art video models still lag behind image models in visual quality and user control over generated content. In this paper, we introduce TokenWarping, a novel framework for temporally coherent video translation. Existing diffusion-based video editing approaches rely solely on key and value patches in self-attention to ensure temporal consistency, often sacrificing the preservation of local and structural regions. Critically, these methods overlook the significance of the query patches in achieving accurate feature aggregation and temporal coherence. In contrast, TokenWarping leverages complementary token priors by constructing temporal …

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Light Cone Cancellation For Variational Quantum Eigensolver In Solving Noisy Max-Cut, Xinwei Lee, Xinjian Yan, Ningyi Xie, Yoshiyuki Saito, Leo Kurosawa, Nobuyoshi Asai, Dongsheng Cai, Hoong Chuin Lau Feb 2026

Light Cone Cancellation For Variational Quantum Eigensolver In Solving Noisy Max-Cut, Xinwei Lee, Xinjian Yan, Ningyi Xie, Yoshiyuki Saito, Leo Kurosawa, Nobuyoshi Asai, Dongsheng Cai, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Variational Quantum Eigensolver (VQE) is a quantum-classical hybrid algorithm used to estimate the ground energy of a given Hamiltonian. It consists of a parameterized quantum circuit, which the parameters are optimized using a classical optimizer. With the increasing need in solving large-scale problems in real-world applications, solving those large problems with fewer qubits and fewer gates becomes essential, so that we reduce the simulation difficulty and mitigate the effect of noise in real quantum hardware. In this study, we applied the Light Cone Cancellation (LCC) method to reduce the number of qubits and gates required in a two-local ansatz. LCC …

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Grounding Is All You Need? Dual Temporal Grounding For Video Dialog, You Qin, Wei Ji, Xinze Lan, Hao Fei, Xun Yang, Dan Guo, Roger Zimmermann, Lizi Liao Feb 2026

Grounding Is All You Need? Dual Temporal Grounding For Video Dialog, You Qin, Wei Ji, Xinze Lan, Hao Fei, Xun Yang, Dan Guo, Roger Zimmermann, Lizi Liao

Research Collection School Of Computing and Information Systems

In the realm of video dialog response generation, capturing both the essence of video content and the temporal nuances of conversation history is crucial. While some approaches rely on large-scale pretrained visual-language models, often neglecting temporal dynamics, others emphasize spatial-temporal relationships within videos but demand intricate object trajectory pre-extractions and overlook dialog temporal dynamics. This paper introduces the Dual Temporal Grounding-enhanced Video Dialog model (DTGVD), designed to bridge the gap between these two approaches. DTGVD uniquely integrates the strengths of both by emphasizing dual temporal relationships. It achieves this by predicting dialog turn-specific temporal regions, selectively filtering video content, and …

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Learnable Game-Theoretic Policy Optimization For Data-Centric Self-Explanation Rationalization, Yunxiao Zhao, Zhiqiang Wang, Xingtong Yu, Xiaoli Li, Jiye Liang, Ru Li Feb 2026

Learnable Game-Theoretic Policy Optimization For Data-Centric Self-Explanation Rationalization, Yunxiao Zhao, Zhiqiang Wang, Xingtong Yu, Xiaoli Li, Jiye Liang, Ru Li

Research Collection School Of Computing and Information Systems

Rationalization, a data-centric framework, aims to build self-explanatory models to explain the prediction outcome by generating a subset of human-intelligible pieces of the input data. It involves a cooperative game model where a generator generates the most human-intelligible parts of the input (i.e., rationales), followed by a predictor that makes predictions based on these generated rationales. Conventional rationalization methods typically impose constraints via regularization terms to calibrate or penalize undesired generation. However, these methods are suffering from a problem called mode collapse, in which the predictor produces correct predictions yet the generator consistently outputs rationales with collapsed patterns. Moreover, existing …

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The Gains Do Not Make Up For The Losses: A Comprehensive Evaluation For Safety Alignment Of Large Language Models Via Machine Unlearning, Weixiang Zhao, Yulin Hu, Xingyu Sui, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, Wanxiang Che Feb 2026

The Gains Do Not Make Up For The Losses: A Comprehensive Evaluation For Safety Alignment Of Large Language Models Via Machine Unlearning, Weixiang Zhao, Yulin Hu, Xingyu Sui, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, Wanxiang Che

Research Collection School Of Computing and Information Systems

Machine Unlearning (MU) has emerged as a promising technique for aligning large language models (LLMs) with safety requirements to steer them forgetting specific harmful contents. Despite the significant progress in previous studies, we argue that the current evaluation criteria, which solely focus on safety evaluation, are actually impractical and biased, leading to concerns about the true effectiveness of MU techniques. To address this, we propose to comprehensively evaluate LLMs after MU from three aspects: safety, over-safety, and general utility. Specifically, a novel benchmark MuBench with 18 related datasets is first constructed, where the safety is measured with both vanilla harmful …

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Species-Dependent Gazing Behavior Of Emotional Facial Expressions In Dogs (Canis Familiaris) And Adult Humans (Homo Sapiens)., Heini Törnqvist, Gray S. Atherton, Liam Cross, Sanni Somppi, Jarkko Hautala, Miiamaaria V. Kujala Feb 2026

Species-Dependent Gazing Behavior Of Emotional Facial Expressions In Dogs (Canis Familiaris) And Adult Humans (Homo Sapiens)., Heini Törnqvist, Gray S. Atherton, Liam Cross, Sanni Somppi, Jarkko Hautala, Miiamaaria V. Kujala

School of Psychology

Emotional expressions play an important part in social communication of dogs and humans, but comparative studies between dogs and humans are rare. In addition, little is known about how emotions are perceived across species and how attention is divided among different parts of faces. Here, we compared the gazing behavior of dogs and adult humans toward emotional dog and human facial expressions. Dogs mostly gazed at the eye and nose areas, whereas the humans’ focus also included the mouth area. The gazing behavior of both species was affected by the facial expressions and species presented, and they gazed at emotional …

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Youth Development Programs Critical Analysis, Rethinking Real Sustainability Measures. Focus On Middle-Eastern And African Contexts., Rasha As Salem Feb 2026

Youth Development Programs Critical Analysis, Rethinking Real Sustainability Measures. Focus On Middle-Eastern And African Contexts., Rasha As Salem

Theses and Dissertations

Abstract Using a systematic review of 18 research papers, policy documents, and evaluation reports, the study examines youth development programs sustainability through four aspects. First, the review explores how definitions of marginalized youth are applied in Middle East and African contexts. Furthermore, the review focuses on how programmatic suitability is discussed and implemented through the concepts of localization and contextualization. Additionally, the importance of locally grounded evidence as much as rigorous evidence and finally the implementation tactics. The review uses frameworks of ecological systems theory and empowering management approaches to analyze the data. The findings reveal significant variation in how …

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Towards Enabling Environmental Social Enterprises: Two Case Studies From Egypt, Rana Emad Kamaly Feb 2026

Towards Enabling Environmental Social Enterprises: Two Case Studies From Egypt, Rana Emad Kamaly

Theses and Dissertations

Social enterprises (SEs) and environmental social enterprises (ESEs) are emerging as promising potential players in addressing global and Egyptian social and environmental challenges. Operating as a hybrid model of financial sustainability and environmental and social impact, ESEs operate through innovative business models to address community issues, waste management, and resource scarcity through financial sustainability. However, there is a lack of research on ESEs operations, challenges, and the enabling factors that can support their growth and impact. This study explores the enabling factors and challenges affecting ESEs in Egypt through qualitative research, analyzing two case studies from Egypt by conducting semi-structured …

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“Language Learners As Ethnographers: A Case Study On A Pedagogical Approach To Developing Intercultural Communicative Competence”, Nihal El-Gameel Feb 2026

“Language Learners As Ethnographers: A Case Study On A Pedagogical Approach To Developing Intercultural Communicative Competence”, Nihal El-Gameel

Theses and Dissertations

Despite the extensive theoretical models and frameworks for Intercultural Communicative Competence (ICC), pedagogical approaches to teaching culture remain underexplored. This study examined the effectiveness of integrating a pedagogical framework—the OSEE framework developed by Deardorff (2000)—within a language classroom context. Using a mixed-methods approach, data were collected through audio-recorded reflections, a questionnaire, an interview, and a final project video presentation in a single-case study design. Data analysis followed Miles and Huberman’s (2014) model of qualitative analysis, employing a funneling approach tailored to each research question: the first applied Chen and Starosta’s ICC model (1996;1999) the second used deductive thematic analysis to …

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Assessing The Effectiveness Of A Habit Recording Tool To Improve Mental Health Of University (Auc) Students, Noran Nounou Feb 2026

Assessing The Effectiveness Of A Habit Recording Tool To Improve Mental Health Of University (Auc) Students, Noran Nounou

Theses and Dissertations

Introduction: According to previous research, the mental health of university students has become an alarming public health concern worldwide. Most of the mental disorders begin among young adults, attributed to the transition to university and increased financial and societal pressure. Despite the important effect of daily habits on mental health, there still remain research gaps in Egypt in exploring their effect among university students and exploring the potential opportunities to support their well-being. Objectives: To assess depression rates among AUC students and to evaluate the effectiveness of a newly designed habit recording board, Make an Impact (MAI) to improve depression …

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Interest Rate And Inflation Control In Egypt: Evaluating Policy Efficiency (1976-2023), Fatma Abouzeid Feb 2026

Interest Rate And Inflation Control In Egypt: Evaluating Policy Efficiency (1976-2023), Fatma Abouzeid

Theses and Dissertations

Inflation has been a persistent problem in Egypt peaking with unprecedented levels throughout the past decades affecting economic stability and living standards in the country. Controlling inflation through interest rate has been a major tool adopted by the monetary authorities in Egypt with no real satisfactory outcome with respect to inflation levels. This links to a theoretical debate in economic literate on the relationship between interest rate and inflation which represents a major controversy in the field. The study examines this controversy in the case of Egypt to reach a conclusion on the actual relationship between these two central economic …

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Legal Reform And Cultural Resistance: Examining The Role Of Law And Custom In Ending Fgm In Egypt, Souhaila Hafez Abo Seada Feb 2026

Legal Reform And Cultural Resistance: Examining The Role Of Law And Custom In Ending Fgm In Egypt, Souhaila Hafez Abo Seada

Theses and Dissertations

This thesis examines the persistent gap between legal reform and social practice in efforts to end Female Genital Mutilation (FGM) in Egypt. Although FGM has been criminalized since 2008, with stronger penalties introduced in 2016 and 2021, the practice continues, revealing the limits of law when it operates alongside powerful social, religious, familial, and medical norms. Using a qualitative case-based approach grounded in legal pluralism and Feminist Critical Discourse Analysis, the study draws on 11 semi-structured interviews with participants from civil society, religious institutions, the legal profession, the medical sector, and communities where FGM persists, alongside legislative, demographic, and documentary …

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Learning From The Covid-19 Pandemic To Enhance Online Learning Based On A Qualitative Case Study On Motivation And Mental Health, Bernice Madrid, Claudia Pratesi Feb 2026

Learning From The Covid-19 Pandemic To Enhance Online Learning Based On A Qualitative Case Study On Motivation And Mental Health, Bernice Madrid, Claudia Pratesi

HSC Education Days

No abstract provided.

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Sounding The Alarm: The Role Of States In Monitoring The Federal Government, Christian G. Fritz Feb 2026

Sounding The Alarm: The Role Of States In Monitoring The Federal Government, Christian G. Fritz

Faculty Scholarship

In December 2025, more than 40 bipartisan state legislative leaders from over 30 states, working through the National Conference of State Legislatures, issued a resolution titled “Federalism Restoration and State Empowerment.” The distinctive feature of American federalism has long been understood to be the distribution of powers between the national and state governments. This foundational element of our system of government—shared sovereignty—warrants revisiting by K-12 teachers and students. Although states may attempt to limit national power in ways such as withholding cooperation, exerting political pressure, and challenging federal authority through legal and institutional channels, this Digest focuses on the role …

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Dean's Research Newsletter, February 2026, Neil W. Schluger Feb 2026

Dean's Research Newsletter, February 2026, Neil W. Schluger

SOM Dean's Research Newsletter

No abstract provided.

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The Case For An African Investment Court (Aic), Won L. Kidane Feb 2026

The Case For An African Investment Court (Aic), Won L. Kidane

Faculty Publications

No abstract provided.

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Glomerular Disease In Patients With Acute Kidney Injury After Vancomycin Treatment-Need For Kidney Biopsy., Mineaki Kitamura, Pooya Zardoost, Anjali A Satoskar Feb 2026

Glomerular Disease In Patients With Acute Kidney Injury After Vancomycin Treatment-Need For Kidney Biopsy., Mineaki Kitamura, Pooya Zardoost, Anjali A Satoskar

Ambulatory and Primary Care Articles

No abstract provided.

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Ischemic Stroke As The Initial Presentation Of Advanced Pancreatic Adenocarcinoma: A Case Of Marantic Endocarditis., Micah Harris Feb 2026

Ischemic Stroke As The Initial Presentation Of Advanced Pancreatic Adenocarcinoma: A Case Of Marantic Endocarditis., Micah Harris

Ambulatory and Primary Care Articles

Nonbacterial thrombotic endocarditis (NBTE), formerly known as marantic endocarditis, is a rare condition characterized by sterile vegetations on cardiac valves and is often associated with hypercoagulable states such as adenocarcinoma. We describe a patient who presented with multiple embolic cerebrovascular accidents, ultimately found to be secondary to NBTE, which served as the initial manifestation of previously undiagnosed advanced pancreatic adenocarcinoma. This case underscores the importance of considering NBTE in patients with multifocal embolic infarcts, particularly when blood cultures are negative, echocardiography reveals valvular abnormalities without evidence of infection, and clinical suspicion for an underlying malignancy is present.

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Bibliography For Love Data Week 2026, Annikah Carpio, Sally Park Feb 2026

Bibliography For Love Data Week 2026, Annikah Carpio, Sally Park

Library Displays and Bibliographies

A bibliography created to support a display about research data and Love Data Week during February 2026 at the Leatherby Libraries at Chapman University.

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Reaching The People: Prosocial Witnessing And The Church, Karl G. D. Bailey Feb 2026

Reaching The People: Prosocial Witnessing And The Church, Karl G. D. Bailey

Faculty Publications

No abstract provided.

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Challenges For Today's Church: How To Reach An Increasingly Unchurched Society, Craig Carr, S. Joseph Kidder Feb 2026

Challenges For Today's Church: How To Reach An Increasingly Unchurched Society, Craig Carr, S. Joseph Kidder

Faculty Publications

No abstract provided.

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Life-Extending Interventions Do Not Necessarily Result In Compression Of Morbidity: A Case Example Offering A Robust Statistical Approach, Deependra K Thapa, Wasiuddin Najam, Erik S Parker, Xi Rita Wang, Daniel L Smith, Ufuk Beyaztas, James F Nelson, Steven N Austad, Gary A Churchill, David B Allison Feb 2026

Life-Extending Interventions Do Not Necessarily Result In Compression Of Morbidity: A Case Example Offering A Robust Statistical Approach, Deependra K Thapa, Wasiuddin Najam, Erik S Parker, Xi Rita Wang, Daniel L Smith, Ufuk Beyaztas, James F Nelson, Steven N Austad, Gary A Churchill, David B Allison

Children’s Nutrition Research Center Staff Publications

Despite extensive research on life-extending interventions, rigorous statistical techniques to determine their impact on compression of morbidity (CoM) are rarely used. We present a case example of an analytical method for examining the effect of life-extending dietary interventions on CoM by comparing the rates of decline in vitality and survival toward the end of life. Using data from previous experimental studies in mice, we calculated the average rate of vitality decline by fitting exponential decay models to individual vitality trajectories and compared this rate with the rate of survival decline estimated from Cox proportional hazards model. The results showed that, …

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Enteral And Intravenous Supplementation Of Arginine And Citrulline Fail To Prevent Necrotizing Enterocolitis In Preterm Neonatal Pigs, Caitlin Vonderohe, Julia Garcia Mancebo, Valeria Melendez Hebib, Barbara Stoll, Inka Didelija, Sarah Elefson, Mahmoud Mohammad, Brooklynn Earls, Greg Guthrie, Doug Burrin Feb 2026

Enteral And Intravenous Supplementation Of Arginine And Citrulline Fail To Prevent Necrotizing Enterocolitis In Preterm Neonatal Pigs, Caitlin Vonderohe, Julia Garcia Mancebo, Valeria Melendez Hebib, Barbara Stoll, Inka Didelija, Sarah Elefson, Mahmoud Mohammad, Brooklynn Earls, Greg Guthrie, Doug Burrin

Children’s Nutrition Research Center Staff Publications

Background: Necrotizing enterocolitis (NEC) is the most common gastrointestinal emergency in preterm infants with a morality rate that approaches 50%. Arginine has been widely studied in the field of clinical nutrition as a supplement for patients experiencing critical illness because it can be metabolized into nitric oxide, an important agent for supporting immunity and microcirculation. Citrulline has received less attention but can be metabolized into arginine and has a much longer plasma half-life than arginine. We used the highly translational preterm pig model to determine the effect of intravenous and enteral supplementation of arginine and citrulline on NEC incidence in …

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