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The Robin Hood Effect In Transgressions Against Firms: How Political Ideology Shapes Consumer Justifications, Jason D. Lin, Anat Keinan, Hannah H. Chang, Donald R. Lehmann Apr 2026

The Robin Hood Effect In Transgressions Against Firms: How Political Ideology Shapes Consumer Justifications, Jason D. Lin, Anat Keinan, Hannah H. Chang, Donald R. Lehmann

Research Collection Lee Kong Chian School Of Business

Consumer transgressions against firms involve moral violations in which consumers take advantage of loopholes in companies’ return and satisfaction-guaranteed policies or the lack of strict enforcement against password sharing, piracy, shoplifting, wardrobing, coupon stacking, promotion abuse, and fraud. Drawing on the timeless tale of Robin Hood, the legendary outlaw who stands up against injustice, the authors demonstrate that consumers use a Robin Hood justification to legitimize their transgressions against firms. Building on moral foundations theory, this research demonstrates that political ideology impacts consumers’ transgression behavior and the perceived morality of these practices. Six studies show that under certain conditions in …


Ai Models As Cultural Beings: Investigating Ai Cultural Biases And The Impact Of Cultural Alignment On Human-Ai Creative Collaboration, Choon Ngee Tan, Meng Han, Roy Y. J. Chua, Chi-Ying Cheng Apr 2026

Ai Models As Cultural Beings: Investigating Ai Cultural Biases And The Impact Of Cultural Alignment On Human-Ai Creative Collaboration, Choon Ngee Tan, Meng Han, Roy Y. J. Chua, Chi-Ying Cheng

Research Collection Lee Kong Chian School Of Business

Existing research on AI cultural biases predominantly focuses on Western models, overlooking critical gaps in non-Western models. We conduct a comparative analysis of AI models – ChatGPT (U.S. developed) and ErnieBot (China developed) – from different cultures to investigate how corresponding cultural biases manifest in their outputs. Additionally, we examine how cultural alignment between human users and AI models impacts their collaborative creative performance and the underlying psychological mechanisms. In Study 1, multi-choice prompt with zero-shot technique was used to evaluate cultural biases in four widely used AI models – ChatGPT-3.5/4, ErnieBot-3.5/4 – comparing their responses to established cultural psychometric …


Cotheorizing Healing With Undergraduate Queer And Trans Latina Survivors Of Power-Based Violence, Kimberly Correa Apr 2026

Cotheorizing Healing With Undergraduate Queer And Trans Latina Survivors Of Power-Based Violence, Kimberly Correa

Dissertations

Current research on healing from power-based violence highlights the importance of integrating victim-survivors’ personal culture and identities into healing approaches, yet few studies actually focus on the culturally distinct healing processes of victim-survivors (O’Brien & Macy, 2016; Sinko et al., 2023). Grounded in Jotería theory (Alvarez, 2023) and Latina/Chicana feminist frameworks (Garcia, 1989), this qualitative study employs queer pláticas as both a methodology and method to center culturally rooted dialogue, reciprocity, and cariño as a political praxis. This study explores how six queer and trans Latina undergraduate victim-survivors conceptualize healing from power-based violence and how their identities, cultural values, and …


The Annual Daf Report 2025: Updated Analysis Memo, H. Daniel Heist, Danielle Vance-Mcmullen, Jeff Williams, Genevieve G. Shaker, Rachel M. Sumsion Apr 2026

The Annual Daf Report 2025: Updated Analysis Memo, H. Daniel Heist, Danielle Vance-Mcmullen, Jeff Williams, Genevieve G. Shaker, Rachel M. Sumsion

Research, Reports, and Publications

No abstract provided.


Advancing Fish Tissue Reference Material Development For Ag Nanoparticles Through A Perfusion Approach, Nathaniel J. Clark, Robert Clough, Adam Laycock, Rachel Smith, Richard D. Handy Apr 2026

Advancing Fish Tissue Reference Material Development For Ag Nanoparticles Through A Perfusion Approach, Nathaniel J. Clark, Robert Clough, Adam Laycock, Rachel Smith, Richard D. Handy

School of Biological and Marine Sciences

There is a regulatory need for reliable methods to quantify nanoparticles in biological samples for the hazard assessment and bioaccumulation potential of engineered nanomaterials (ENMs). Single particle inductively coupled plasma mass spectrometry (SP-ICP-MS) is a promising technique, but its application is hindered by the lack of validated sample preparation procedures (e.g., solubilisation) and suitable biological reference materials. This study aimed to develop an in-house biological reference material for ENMs to support analytical method validation. Silver nanoparticles (Ag NPs) were introduced into rainbow trout via cardiac perfusion, with the gills and liver collected as target tissues. Tissues were homogenised using a …


Not Forgetting The Fathers: A Qualitative Narrative Review Exploring The Involvement And Psychological Well-Being Of Fathers In The Neonatal Intensive Care Unit., Kayleigh Gahagan, Kevin Hambridge, Matt Carey Apr 2026

Not Forgetting The Fathers: A Qualitative Narrative Review Exploring The Involvement And Psychological Well-Being Of Fathers In The Neonatal Intensive Care Unit., Kayleigh Gahagan, Kevin Hambridge, Matt Carey

School of Nursing and Midwifery

BackgroundDespite policy commitments to family-centred care, neonatal services often remain implicitly structured around maternal presence. Fathers, although increasingly acknowledged as vital to early child development, frequently experience feelings of exclusion throughout the neonatal journey, from antenatal care through to the neonatal intensive care unit.AimThis review explores how fathers experience involvement and psychological wellbeing during their infant’s admission to a neonatal intensive care unit.MethodsA narrative review of qualitative studies was conducted using the SPIDER framework to guide the search strategy. The nine included studies, which met the inclusion criteria were identified via searching the databases CINAHL, PubMed, and PsycINFO. Studies were …


Using Expert Elicitation And Systems Mapping To Support Social Innovation In The (Blue) Food System: The Case Of The Uk’S Plymouth Fish Finger, Clare Pettinger, Kelly Parsons, Yanaina Irazu Chavez-Ugalde, Louise Hunt, Carol Wagstaff Apr 2026

Using Expert Elicitation And Systems Mapping To Support Social Innovation In The (Blue) Food System: The Case Of The Uk’S Plymouth Fish Finger, Clare Pettinger, Kelly Parsons, Yanaina Irazu Chavez-Ugalde, Louise Hunt, Carol Wagstaff

School of Health Professions

Background: The imperative for food system transformation is well known, yet to date there has been minimal emphasis on the blue food system [foods sourced from marine and freshwater environments]. Generally, a food systems approach should shift away from linear and move towards more systems thinking to embrace complexity. This paper focuses on a local social innovation project (Plymouth Fish Finger (PFF)) which has pioneered localising the blue food system. This study aimed to elicit how the (policy and practice) system around the PFF can be appraised to optimise social innovation practices for (blue) food system transformation. Methods: Expert elicitation …


Fixed Effects Estimation Of Spatial Panel Model With Missing Responses: An Application To Us State Tax Competition, Xiaoyu Meng, Zhenlin Yang Apr 2026

Fixed Effects Estimation Of Spatial Panel Model With Missing Responses: An Application To Us State Tax Competition, Xiaoyu Meng, Zhenlin Yang

Research Collection School Of Economics

We consider estimation and inferences for general spatial panel data models with randomly missing observations on responses. It allows for unobserved spatiotemporal heterogeneity, time-varying endogenous and contextual spatial interactions, time-varying cross-sectional error dependence, and serial correlation. A general M-estimation method is proposed for model estimation and a novel corrected plug-in method is proposed for model inference. Both take into account the estimation of fixed effects. Asymptotic properties of the proposed methods are studied, and finite sample properties are investigated. An empirical application is given using U.S. state tax competition data. The proposed methods apply to matrix exponential spatial specification and …


2025-2026 School Of Law Academic Honors & Awards, University Of San Diego School Of Law Apr 2026

2025-2026 School Of Law Academic Honors & Awards, University Of San Diego School Of Law

Academic Honors and Awards

No abstract provided.


Preface, Said Sulaiman Al Dhafri, Sumaira A. Chowdhury Apr 2026

Preface, Said Sulaiman Al Dhafri, Sumaira A. Chowdhury

Journal of Educational and Psychological Studies

No abstract provided.


Copley Connects | Fall 2025/Spring 2026, University Of San Diego Apr 2026

Copley Connects | Fall 2025/Spring 2026, University Of San Diego

Copley Connects Library Newsletter

Message From the Dean | 3
Writing in Visual Form: noé olivas’ Neon Art Installation | 4
San Diego’s French Connection | 6
Instagrammable Moments: A Librarian’s Reflections on San Diego and USD | 8
Copley Celebrates the 3rd Annual Filipino American History Month Event | 10
Banned Books Week | 10
Copley Library Hosts the Inaugural Student Success Symposium | 11
Veterans/Armistice Day: Veterans for Peace Visit Copley Library | 11
UDEM and USD Sign Sister Libraries MOU | 12
Cruising Through History: The Lowrider Stamp Unveiling | 13
Copley Reads | 14
Cultural Mosaic: Celebrating Asian American and …


Draft Final 2025 Bpsou Subdrain Data Summary Report (Dsr), Pioneer Technical Services, Inc. Apr 2026

Draft Final 2025 Bpsou Subdrain Data Summary Report (Dsr), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


The Importance Of Holistic Care: The Development And Implementation Of Spiritual Resources For Caregivers And Staff At Joni’S House El Salvador, Chloe Veilleux Apr 2026

The Importance Of Holistic Care: The Development And Implementation Of Spiritual Resources For Caregivers And Staff At Joni’S House El Salvador, Chloe Veilleux

Capstone Projects

It is within the occupational therapy (OT) scope of practice to not only address client needs related to mind, body, and spirit, but also those of caregivers as a means of fostering overall improved quality of life. Additionally, when OTs address spirituality and implement spiritual/spirituality-informed interventions, correlations of improved psychosocial factors such as well-being, motivation, and reduced stress have been shown, as well as improved hope and reduced burden for caregivers. There remains, however, a gap in the research and implementation of spiritually informed care and resources specifically as it pertains to caregivers of those with disabilities. To address this …


The Implications Of The Midyear Departure Of Residence Directors In Housing And Residential Life, Chelsea Titus Apr 2026

The Implications Of The Midyear Departure Of Residence Directors In Housing And Residential Life, Chelsea Titus

Electronic Theses and Dissertations

High attrition rates among entry-level student affairs professionals have been documented for decades, yet little research has examined the implications of midyear departures within housing and residential life. Residence directors serve as live-in professionals responsible for crisis response, student conduct, staff supervision, and community development. When a midyear departure occurs, the disruption extends beyond the vacancy and affects supervisors, colleagues, and residential communities. The problem addressed in this study was the organizational and supervisory impact of midyear residence director departures. The purpose of this qualitative narrative inquiry was to examine the factors contributing to midyear departures and to explore how …


Exploring The Way Up: Career Paths, Challenges, And Resilience Among Women Leaders In Higher Education, Angela M. Brown Apr 2026

Exploring The Way Up: Career Paths, Challenges, And Resilience Among Women Leaders In Higher Education, Angela M. Brown

Electronic Theses and Dissertations

Women represent the majority of students and faculty in higher education students in higher education in the United States, yet they remain underrepresented in executive leadership positions. Women pursuing these roles encounter unique challenges, and institutions have increasingly recognized the value of mentoring and sponsoring women who aspire to leadership. Guided by Kumar’s CR8 resilience theory, this qualitative descriptive study explored how women leaders in higher education in the United States describe their career pathways to leadership, the challenges they encounter, and the impact of mentoring/sponsoring in developing their resilience for career progression. Semistructured interviews were conducted with 11 women …


Bridging The Divide: Exploring Stigma And Enhancing Belonging For Online Faculty In Higher Education, Stephanie L. Wanamaker Apr 2026

Bridging The Divide: Exploring Stigma And Enhancing Belonging For Online Faculty In Higher Education, Stephanie L. Wanamaker

Electronic Theses and Dissertations

Online faculty in higher education experience stigma and negative perceptions regarding online education in academia. Despite the rapid growth and success of online education, negative perceptions and stigma have not evolved at the same pace as the success of online institutions. Many online faculty members frequently experience skepticism, criticism, and marginalization from their residential counterparts within their academic communities. As a result of these experiences, online faculty are experiencing a reduced level of belonging, contributing to increased levels of burnout, poor satisfaction, and struggles with professional identity. Despite these experiences, little is known about the problem or how online faculty …


Transformative Leadership In Action: A Narrative Study Of Principals’ Influence On Students’ Achievement, Staci Taylor Fullmighter Apr 2026

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) …


How Can Learning Management Systems Positively Impact Student Engagement In Online Courses?, Jerald P. Wilson Apr 2026

How Can Learning Management Systems Positively Impact Student Engagement In Online Courses?, Jerald P. Wilson

Electronic Theses and Dissertations

The topic of this dissertation is learning management systems, specifically Canvas. Research has proven that student engagement is a strong factor in student achievement in both online and inperson courses. The COVID-19 pandemic highlighted a deficit in instructors’ ability to acquire and maintain student engagement in online courses. This study details why this problem exists and how instructors have successfully addressed it in higher-level online courses. The primary purpose of this qualitative descriptive study was to examine how learning management systems, specifically Canvas, can increase student engagement in online courses in higher education. Qualitative research was the chosen paradigm for …


Determinants Of Evaluation Demand In The United States Federal Government: A Sequential Mixed Methods Study With Hierarchical Linear Modeling, Ruqayyah Abu-Obaid Apr 2026

Determinants Of Evaluation Demand In The United States Federal Government: A Sequential Mixed Methods Study With Hierarchical Linear Modeling, Ruqayyah Abu-Obaid

Dissertations

This dissertation examines the factors that influence demand for evaluation in the federal government of the United States. Although evaluation has become a central element of evidence-based policymaking, limited empirical research explains what drives variation in evaluation activity across federal agencies. The study addresses this gap through a sequential exploratory mixed-methods design that integrates qualitative document analysis with quantitative hierarchical (panel) data modeling. Hierarchical linear modeling (HLM) was employed to analyze longitudinal data from 23 federal agencies (2008–2024), accounting for both within- and between-agency variation over time and providing more accurate estimates of factors influencing evaluation demand.

In the qualitative …


Logistics Center: Sustainable Design Build, Dylon Moala, Daryn Nguyen, Andrew Sabuda, Gage Urbach, Nicolae Vesca Apr 2026

Logistics Center: Sustainable Design Build, Dylon Moala, Daryn Nguyen, Andrew Sabuda, Gage Urbach, Nicolae Vesca

Civil, Environmental and Sustainable Engineering Senior Theses

The Cal Centre Distribution Center is a proposed 4,000,000 square foot, four (4) warehouses total, e-commerce warehouse and logistics facility located along Interstate 5 (the I-5) in Kern County, California. The site occupies a very strategic location for overall distribution logistics of the Western United States being close to the Port of Los Angeles allowing for 65,000,000 people to be reached within a two (2) day truck turn. The site also addresses the local economic needs of Kern County and the greater Bakersfield area. Ranking as one of the highest functional unemployment rates among cities, this site will provide approximately …


Staying Power: A Case Study Of Teacher Retention In A Rural District, Amanda F. Mclellan, Amanda F. Mclellan Apr 2026

Staying Power: A Case Study Of Teacher Retention In A Rural District, Amanda F. Mclellan, Amanda F. Mclellan

Electronic Theses and Dissertations

Teacher attrition continues to be a significant challenge in K-12 education, particularly in rural school districts where limited resources and geographic isolation can intensify staffing instability. While much research has focused on teacher attrition, little research examines why tenured teachers choose to remain in rural districts. The purpose of this qualitative, single-case study was to examine the experiences and insights of tenured teachers regarding their decision to continue teaching in a small, rural Texas school district. Guided by Mason and Matas’s fourcapital framework for teacher retention, this study examined how human, social, structural, and positive psychological capital influenced teachers’ decisions …


Rooted Or Restless: Retaining Teachers From Urban And Suburban Backgrounds In Rural Texas, Martha Saucedo Ms. Apr 2026

Rooted Or Restless: Retaining Teachers From Urban And Suburban Backgrounds In Rural Texas, Martha Saucedo Ms.

Electronic Theses and Dissertations

Rural school districts across the United States continue to experience persistent challenges in retaining teachers, particularly those from urban and suburban backgrounds who transition into geographically isolated rural communities. These educators often encounter professional isolation, cultural adjustment, and limited access to resources, which influence their long-term commitment to rural schools. The purpose of this qualitative case study was to explore how teachers from urban and suburban backgrounds experienced geographical and professional isolation in rural schools within a Texas Education Service Center region in a rural area and how leadership practices influenced their sense of belonging, place attachment, and retention. This …


Leading The Charge: A Qualitative Descriptive Study Exploring How Public Middle School Principals Perceive And Enact Their Role As Advocates For School-Based Mental Health, Tanya Irby Tucker Apr 2026

Leading The Charge: A Qualitative Descriptive Study Exploring How Public Middle School Principals Perceive And Enact Their Role As Advocates For School-Based Mental Health, Tanya Irby Tucker

Electronic Theses and Dissertations

Adolescent mental health concerns have increased significantly during the middle school years, requiring school leaders to expand their role in supporting students’ social, emotional, and psychological well-being. Although schools are uniquely positioned to deliver comprehensive mental health services, how public middle school principals perceive and enact their role as advocates for school-based mental health services remains underexplored. The purpose of this qualitative descriptive study was to explore how public middle school principals perceive and enact their role as advocates for school-based mental health services. Guided by social cognitive theory (SCT), this study examined how personal beliefs, behavioral practices, and environmental …


Influence Of Restorative Justice Practices On Student Behavior, Shawn N. Clemons Apr 2026

Influence Of Restorative Justice Practices On Student Behavior, Shawn N. Clemons

Electronic Theses and Dissertations

The purpose of this qualitative exploratory case study was to explore how teachers in culturally diverse suburban U.S. elementary schools perceive the implementation of restorative justice practices as an influence on student behavior. The researcher collected data through questionnaires and semistructured interviews of 14 elementary teachers currently employed in a suburban elementary school who actively use restorative justice with students. Findings from the study indicated the restorative justice practices contribute positively to school culture by prioritizing relationship building, structured conflict resolution, and inclusive practices. The findings from this study can be used with teachers, administrators, district support, and school board …


Conflogger: Enhance Systems’ Configuration Diagnosability Through Configuration Logging, Shiwen Shan, Yintong Huo, Yuxin Su, Zhining Wang, Dan Li, Zibin Zheng Apr 2026

Conflogger: Enhance Systems’ Configuration Diagnosability Through Configuration Logging, Shiwen Shan, Yintong Huo, Yuxin Su, Zhining Wang, Dan Li, Zibin Zheng

Research Collection School Of Computing and Information Systems

Modern configurable systems offer customization via intricate configuration spaces, yet such flexibility introduces pervasive configuration-related issues such as misconfigurations and latent softwarebugs. Existing diagnosability supports focus on post-failure analysis of software behavior to identify configuration issues, but none of these approaches look into whether the software clue sufficient failure information for diagnosis. To fill in the blank, we propose the idea of configuration logging to enhance existing logging practices at the source code level. We develop ConfLogger, the first tool that unifies configuration-aware static taint analysis with LLM-based log generation to enhance software configuration diagnosability. Specifically, our method 1) identifies …


Propaganda Ai: An Analysis Of Semantic Divergence In Large Language Models, Nay Myat Min, Long H. Pham, Yige Li, Jun Sun Apr 2026

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 …


Where Did It Go Wrong? Attributing Undesirable Llm Behaviors Via Representation Gradient Tracing, Zhe Li, Wei Zhao, Yige Li, Jun Sun Apr 2026

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 …


Llmqua: Practical Backdoor Injection On Large Language Model Quantization, Xiangxiang Chen, Peixin Zhang, Jun Sun, Jin Song Dong, Wenhai Wang, Jingyi Wang Apr 2026

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 Apr 2026

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 …


Bridging Bug Localization And Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models, Jianming Chang, Xin Zhou, Lulu Wang, David Lo, Bixin Li Apr 2026

Bridging Bug Localization And Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models, Jianming Chang, Xin Zhou, Lulu Wang, David Lo, Bixin Li

Research Collection School Of Computing and Information Systems

Automated issue fixing is a critical task in software debugging and has recently garnered significant attention from academia and industry. However, existing fixing techniques predominantly focus on the repair phase, often overlooking the importance of improving the preceding bug localization phase. As a foundational step in issue fixing, bug localization plays a pivotal role in determining the overall effectiveness of the entire process. To enhance the precision of issue fixing by accurately identifying bug locations in large-scale projects, this paper presents BugCerberus, the first hierarchical bug localization framework powered by three customized large language models. First, BugCerberus analyzes intermediate representations …