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Articles 421 - 450 of 15937
Full-Text Articles in Entire DC Network
Learnable Game-Theoretic Policy Optimization For Data-Centric Self-Explanation Rationalization, Yunxiao Zhao, Zhiqiang Wang, Xingtong Yu, Xiaoli Li, Jiye Liang, Ru Li
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 …
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
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 …
The Effects Of Linguistic Ostracism On Job Performance. A Replication And An Extension, John Fiset, Devasheesh P. Bhave
The Effects Of Linguistic Ostracism On Job Performance. A Replication And An Extension, John Fiset, Devasheesh P. Bhave
Research Collection Lee Kong Chian School Of Business
We examined the phenomenon of linguistic ostracism—instances where a focal workgroup member perceives other members of their workgroup have rejected and/or excluded them by using a language they cannot comprehend. In a 2021 article, Fiset and Bhave observed that linguistic ostracism was related to two dimensions of job performance (interpersonal citizenship and deviance) and that disidentification served as an explanatory mechanism for the linguistic ostracism–job performance relationship. We constructively replicate and extend their work in several ways. First, we replicate prior effects on interpersonal citizenship and deviance and extend their work to focus on a third dimension of job performance: …
Testing Mean Stability Of Heteroskedastic Time Series, Violetta Dalla, Liudas Giraitis, Peter C. B. Phillips
Testing Mean Stability Of Heteroskedastic Time Series, Violetta Dalla, Liudas Giraitis, Peter C. B. Phillips
Research Collection School Of Economics
Time series models are often fitted to the data without preliminary checks for stability of the mean and variance, conditions that may not hold in much economic and financial data, particularly over long periods. Ignoring such shifts may result in fitting models with spurious dynamics that lead to unsupported and controversial conclusions about time dependence, causality, and the effects of unanticipated shocks. In spite of what may seem as obvious differences between a time series of independent variates with changing variance and a stationary conditionally heteroskedastic (GARCH) process, such processes may be hard to distinguish in applied work using basic …
A Panel Quantile Model Via Correlated Random Effects Approach For Testing Pecking Order Theory, Zongwu Cai, Meng Shi, Wuqing Wu, Yue Zhao
A Panel Quantile Model Via Correlated Random Effects Approach For Testing Pecking Order Theory, Zongwu Cai, Meng Shi, Wuqing Wu, Yue Zhao
Student Publications
This article investigates the relative importance of internal and external sources of funds in financing activities across different levels of investment activities by proposing a panel data quantile regression model with correlated random effects, accounting for heteroscedasticity in both firm-specific individuals and distribution of investment. A new estimation method, which takes the influence of disturbance into account, is proposed by using the integrated quasi-likelihood function for the conditional quantile model and Laplace approximation. The large sample theory for the proposed estimator and the corresponding asymptotic χ2 test are investigated. A Monte Carlo simulation is conducted to examine the finite …
Bridging The Social Class Capital Gap: A Psychological Intervention In The Newcomer Adjustment Context, Grace J. H. Lim, Marko Pitesa
Bridging The Social Class Capital Gap: A Psychological Intervention In The Newcomer Adjustment Context, Grace J. H. Lim, Marko Pitesa
Research Collection Lee Kong Chian School Of Business
Motivated by observations that workers from lower social class backgrounds often experience lower career outcomes even after securing desirable jobs, we adopted an abductive approach—combining theory (the newcomer personal capital framework) with qualitative evidence from open‐ended accounts (Study 1)—to identify three challenges these workers face after joining organizations as newcomers: limited cultural capital (i.e., institutional knowledge), lower social capital (i.e., social self‐efficacy), and lower psychological capital (i.e., distress tolerance). Furthermore, in Study 1, we developed and tested a psychological intervention targeting these challenges and found that it effectively addressed them. In Studies 2 and 3, both preregistered field experiments, we …
Policy Uncertainty Reduces Green Innovation, Mengyu Wang, Jeffrey Wurgler, Hong Zhang
Policy Uncertainty Reduces Green Innovation, Mengyu Wang, Jeffrey Wurgler, Hong Zhang
Research Collection Lee Kong Chian School Of Business
Policy uncertainty can undermine the power of government subsidies to stimulate environmentally friendly research and development. We show that Chinese firms’ green R&D falls as the uncertainty of environmental subsidies rises: Exogenous, weather-driven air pollution variability induces subsidies to fluctuate, and firms in areas with high weather-driven subsidy variability undertake less green R&D and hire fewer technical employees, controlling for the average level of subsidies. Heavy emitters and environmental technology firms are more affected. The results also illustrate how policy uncertainty can arise when policymakers are influenced by conditions that are salient but with causes that are difficult to disentangle.
Fluid Agency In Ai Systems: A Case For Functional Equivalence In Copyright, Patent, And Tort, Anirban Mukherjee, Hannah H. Chang
Fluid Agency In Ai Systems: A Case For Functional Equivalence In Copyright, Patent, And Tort, Anirban Mukherjee, Hannah H. Chang
Research Collection Lee Kong Chian School Of Business
Modern Artificial Intelligence (AI) systems exhibit fluid agency in multi-step workflows: lacking human-like consciousness or culpability, yet they display behavior that is (i) stochastic (probabilistic and path‑dependent), (ii) dynamic (co‑evolving with user interaction), and (iii) adaptive (able to reorient across contexts). These properties generate valuable outputs but collapse attribution, irreducibly entangling human and machine inputs. Doctrines that assume traceable provenance—authorship, inventorship, and liability—fracture under this unmappability, yielding ownership gaps and moral “crumple zones.”This Article argues that only functional equivalence stabilizes doctrine under unmappability: Where provenance is indeterminate, legal frameworks should treat human and AI contributions as equivalent for allocating rights …
Large Owner Expropriation Threat And Stock Option Pay's Effect On Firm Risk-Taking Behaviors In Weak Institutions, Cuili Qian, Lipeng (Gary) Ge, Xuesong Geng, Jiatao Li, Maria Hasenhuttl
Large Owner Expropriation Threat And Stock Option Pay's Effect On Firm Risk-Taking Behaviors In Weak Institutions, Cuili Qian, Lipeng (Gary) Ge, Xuesong Geng, Jiatao Li, Maria Hasenhuttl
Research Collection Lee Kong Chian School Of Business
Research Question/Issue: This study investigates the impact of managerial stock option pay on firm risk- taking behaviors in aweak institutional context, a critical question that has been overlooked by the literature. Specifically, we build on the comparative corporate governance perspective that emphasizes the implications of large shareholders' expropriation threat in weak institutions to develop predictions about their impact on the stock option's incentive alignment effect. We further explore the boundary conditions of such a relationship.Research Findings/Insights: Based on a sample of Chinese listed firms between 2006 and 2016, we find that a high level of large shareholders' expropriation threat weakens …
Trading With The Enemy: A Coopetitive Perspective Of Resource Exchange At Arm’S Length, Zhefei Li, David Gomulya, Heli Wang
Trading With The Enemy: A Coopetitive Perspective Of Resource Exchange At Arm’S Length, Zhefei Li, David Gomulya, Heli Wang
Research Collection Lee Kong Chian School Of Business
Research Summary: Research on inter-firm cooperation often focuses on long-term strategic alliances while overlooking the distinct form of arm's-length resource exchanges. Our study addresses this gap using the National Basketball Association (NBA) data for precise resource exchange measurements. Contrary to strategic alliances, where competitive pressure fosters cooperation, we find that competitive pressure reduces cooperation in arm's-length exchanges. However, relational capital helps to facilitate resource exchanges. We also found that while resource bundling exacerbates the negative effect of competitive pressure, it amplifies the positive effect of relational capital. Interestingly, relational rivalry intensifies the impact of competitive pressure but does not diminish …
The Charity Capacity Curse, Shirley (Lijun) Zhang, Thomas Allard, David Hardisty, Shane Wang
The Charity Capacity Curse, Shirley (Lijun) Zhang, Thomas Allard, David Hardisty, Shane Wang
Research Collection Lee Kong Chian School Of Business
Can displays of charity capacity cues paradoxically harm charities' fundraising efforts? Six pre-registered studies provide evidence of a charity capacity curse whereby donors penalize charities for displaying capacity cues, such as human resources capacity, organizational capacity, and financial capacity cues. This curse occurs because donors perceive higher-capacity charities as needing less help. As donors typically donate based on need, they donate less to charities with superior capacity signals. This effect is attenuated when: (1) higher-capacity charities' needs are made salient, and (2) donors reflect on how their decision impacts end-beneficiaries. This research contributes to the literature on effective altruism and …
Can Lower(Ed) Expert Opinions Lead To Better Consumer Ratings?: The Case Of Michelin Stars, Xingyi Li, Yiting Deng, Puneet Manchanda, Bert De Reyck
Can Lower(Ed) Expert Opinions Lead To Better Consumer Ratings?: The Case Of Michelin Stars, Xingyi Li, Yiting Deng, Puneet Manchanda, Bert De Reyck
Research Collection Lee Kong Chian School Of Business
Expert opinion exerts tremendous influence on the purchase journey, but its effect on overall consumer experience is ambiguous because it can give rise to both “expectation” and “reputation” effects. This paper explores the effect of expert opinions on consumer experience via the lens of consumer reviews in the restaurant industry, where the expert opinions are conveyed by Michelin stars. The paper uses a unique data set based on the Michelin Guide for Great Britain & Ireland from 2010 to 2020. The data include consumer reviews on TripAdvisor for all restaurants that were awarded Michelin stars during this period and a …
Algorithm Envelopment In Platform Markets, Liang Chen, Zhou Zhou, Lester Chan
Algorithm Envelopment In Platform Markets, Liang Chen, Zhou Zhou, Lester Chan
Research Collection Lee Kong Chian School Of Business
The theory of platform envelopment rests on network effects as the key mechanism for value creation, which nonetheless receives mixed support for its efficacy in determining competitive outcomes. We argue that the value of network effects depends on matching quality, which is a function of platform-specific algorithm technology and market-level data-driven learning. In formalizing these conceptualizations, we analyze a model that demonstrates how an entrant with a superior algorithm technology may outcompete an incumbent possessing a user base advantage, a strategy we call “algorithm envelopment.” By considering specific characteristics of data-driven learning, our analysis leads to propositions regarding the entry …
The Effects Of Financing Green And Brown Sectors: What Do Theories And Evidence Say?, Hao Liang, Maria Teresa Punzi
The Effects Of Financing Green And Brown Sectors: What Do Theories And Evidence Say?, Hao Liang, Maria Teresa Punzi
Research Collection Lee Kong Chian School Of Business
This paper critically examines the economic and welfare implications of financing green and brown sectors. Drawing on a comprehensive review of recent theoretical and empirical literature, we highlight that while conventional green finance—allocating capital toward environmentally friendly (“green”) sectors and away from carbon-intensive (“brown”) sectors—can promote decarbonization, it may also produce unintended externalities. In particular, it can inadvertently incentivize higher emissions from brown firms and contribute to economic disruption. Using a dynamic stochastic general equilibrium (DSGE) model, we demonstrate that lowering the cost of capital for green sectors leads to only modest reductions in emissions, whereas raising it for brown …
Design Principles For Customer-Engaging Digital Service Systems: An Action Research Study, Keng Leng Siau, Xiaofeng Chen, Xin Tan
Design Principles For Customer-Engaging Digital Service Systems: An Action Research Study, Keng Leng Siau, Xiaofeng Chen, Xin Tan
Research Collection School Of Computing and Information Systems
Digital services represent a business approach employed by organizations to operate in the digital environment. However, systematic development guidelines for developing quality digital service systems are lacking in the literature. The authors identified four general challenges for developing and implementing customer-engaging digital service systems (CEDSS). By employing the method of canonical action research in a digital service system project, they derived 10 design principles for developing high-quality CEDSS. They empirically evaluated the design principles in the development project and through follow-up focus group sessions. The design principles provide applicable and actionable guidelines for the development of CEDSS.
Freedom Of Expression Protection And Corporate Concealment Of Bad News: Evidence From State Anti-Slapp Laws, Jimmy Lee, Shaphan Ng, Il Sun Yoo, Liandong Zhang
Freedom Of Expression Protection And Corporate Concealment Of Bad News: Evidence From State Anti-Slapp Laws, Jimmy Lee, Shaphan Ng, Il Sun Yoo, Liandong Zhang
Research Collection School Of Accountancy
The protection of free speech enhances the ability of various public stakeholders to disseminate privately observed adverse information about public firms, making it difficult for corporate managers to conceal negative information about their companies. Using the staggered enactment of anti strategic lawsuit against public participation (anti-SLAPP) laws across U.S. states as a shock that strengthens free speech protection, we show that stronger protection is associated with less concealment of bad news. This is evidenced by a lower likelihood of stock price crashes, a decreased probability of accounting fraud, and an increased frequency of firm-initiated negative press releases. These results are …
Peer Effects Of Corporate Disclosures: Evidence From The Registration-Based Ipo System In China, Ruilin Liu, Beng Wee Goh, Dan Li, Zheyuan Zhang
Peer Effects Of Corporate Disclosures: Evidence From The Registration-Based Ipo System In China, Ruilin Liu, Beng Wee Goh, Dan Li, Zheyuan Zhang
Research Collection School Of Accountancy
China launched the registration-based IPO system in 2019 whereby all firms listed on the newly established STAR board (“peer firms”) are required to disclose specific innovation and industry-related information in their prospectus. Using this event as a quasi-experiment, our study investigates the causal effects of peer firms’ disclosures on individual firms’ disclosure strategy. We find that individual firms’ management earnings forecast (MEF) precision, both its form and width, significantly decreases when peer firms disclose more information during the IPO period. In cross-sectional analyses, we find this effect to be more pronounced for individual firms that are likely to experience greater …
Does Auditor Quality Enhance Csr Disclosure?, Jimmy Lee, Chee Yeow Lim, Gerald J. Lobo, Yanping Xu
Does Auditor Quality Enhance Csr Disclosure?, Jimmy Lee, Chee Yeow Lim, Gerald J. Lobo, Yanping Xu
Research Collection School Of Accountancy
We investigate the relation between auditor quality and client firms’ corporate social responsibility (CSR) disclosure. Using an international sample of firms from 36 countries over the period 2009–2018 and a measure of the extent of CSR disclosure from Bloomberg, we find strong evidence that client firms with higher quality auditors provide more CSR disclosure. In cross-sectional analyses, we show that the relation between auditor quality and CSR disclosure is accentuated when the information environment is poorer and when the financial reporting environment and the legal institutions are weaker. Lastly, we document that firms with higher quality auditors also exhibit better …
Choice-Based Crowdshipping For Next-Day Delivery Services: A Dynamic Task Display Problem, Alp Arslan, Firat Kilci, Shih-Fen Cheng, Archan Misra
Choice-Based Crowdshipping For Next-Day Delivery Services: A Dynamic Task Display Problem, Alp Arslan, Firat Kilci, Shih-Fen Cheng, Archan Misra
Research Collection School Of Computing and Information Systems
This paper studies integrating the crowd workforce into next-day home delivery services. In this setting, both crowd drivers and contract drivers collaborate in making deliveries. Crowd drivers have limited capacity and can choose not to deliver if the presented tasks do not align with their preferences. The central question addressed is: How can the platform minimize the total task fulfilment cost, which includes payouts to crowd drivers and additional payouts to contract drivers for delivering the unselected tasks by customizing task displays to crowd drivers? To tackle this problem, we formulate it as a finite-horizon Stochastic Decision Problem, capturing crowd …
Towards Secure Program Partitioning For Smart Contracts With Llm’S In-Context Learning, Ye Liu, Yuqing Niu, Chengyan Ma, Ruidong Han, Wei Ma, Yi Li, Debin Gao, David Lo
Towards Secure Program Partitioning For Smart Contracts With Llm’S In-Context Learning, Ye Liu, Yuqing Niu, Chengyan Ma, Ruidong Han, Wei Ma, Yi Li, Debin Gao, David Lo
Research Collection School Of Computing and Information Systems
Smart contracts are highly susceptible to manipulation attacks due to the leakage of sensitive information. Addressing manipulation vulnerabilities is particularly challenging because they stem from inherent data confidentiality issues rather than straightforward implementation bugs. To tackle this by preventing sensitive information leakage, we present PARTITIONGPT, the first LLM-driven approach that combines static analysis with the in-context learning capabilities of large language models (LLMs) to partition smart contracts into critical (privileged) and normal codebases, guided by a few annotated sensitive data variables. We evaluated PARTITIONGPT on 18 annotated smart contracts containing 99 sensitive functions. The results demonstrate that PARTITIONGPT successfully generates …
Qualitative Study For Llm-Assisted Design Study Process: Strategies, Challenges, And Roles, Shaolun Ruan, Rui Sheng, Xiaolin Wen, Jiachen Wang, Tianyi Zhang, Yong Wang, Tim Dwyer, Jiannan Li
Qualitative Study For Llm-Assisted Design Study Process: Strategies, Challenges, And Roles, Shaolun Ruan, Rui Sheng, Xiaolin Wen, Jiachen Wang, Tianyi Zhang, Yong Wang, Tim Dwyer, Jiannan Li
Research Collection School Of Computing and Information Systems
Design studies aim to develop visualization solutions for real-world problems across various application domains. Recently, the emergence of large language models (LLMs) has introduced new opportunities to enhance the design study process, providing capabilities such as creative problem-solving, data handling, and insightful analysis. However, despite their growing popularity, there remains a lack of systematic understanding of how LLMs can effectively assist researchers in visualization-specific design studies. In this paper, we conducted a rnulti-stage qualitative study to fill this gap, which involved 30 design study researchers from diverse backgrounds and expertise levels. Through in-depth interviews and carefully-designed questionnaires, we investigated strategies …
A Case Study Of Gender And Online Team Communication In Software Engineering Education, Rita Garcia, Christoph Treude
A Case Study Of Gender And Online Team Communication In Software Engineering Education, Rita Garcia, Christoph Treude
Research Collection School Of Computing and Information Systems
Collaboration is crucial in Software Engineering (SE), yet factors like gender bias can shape team dynamics and behaviours. This descriptive case study examines an eight-week project involving 39 SE students across eight teams contributing to GitHub projects. Focusing on gender, we used a mixed-methods approach to analyse Slack communications, identifying gender differences in how students respond to initiated communications and comparing how students’ communications influenced other aspects of students’ performance, including learning gains. We found higher help-seeking and leadership behaviours in the all-woman team involved in this case study, while men responded more slowly. Although communication did not directly affect …
Internationalization Struggles And Student Mobility: Ethnic Exclusion And Racism In Philippine Higher Education, Yasmin Y. Ortiga
Internationalization Struggles And Student Mobility: Ethnic Exclusion And Racism In Philippine Higher Education, Yasmin Y. Ortiga
Research Collection School of Social Sciences
There is an extensive literature on student mobility that seeks to understand the nature of, rationales for and consequences of internationalisation in higher education. This scholarship primarily focusses on students studying in the ‘west’. This paper shows how ‘atypical’ student destinations also illuminate the contradictions of internationalisation, revealing the challenges faced by higher education settings beyond academic centres in the west. Drawing on the case of the Philippines, I discuss how private universities actively recruited international students to maximise profits from student tuition. Yet, these efforts led to a backlash among Filipino educators and students, prompting administrators to institute policies …
Auseinandersetzung: Heidegger's Black Notebooks And Intercultural Engagement, Steven Burik
Auseinandersetzung: Heidegger's Black Notebooks And Intercultural Engagement, Steven Burik
Research Collection School of Social Sciences
Heidegger’s relation to Asian philosophy should be guided by the notion of Auseinandersetzung. Often translated as con-frontation, this term plays a pivotal role in understanding Heidegger’s engagements with Asian philosophy. Auseinandersetzung (and related terms) can help us realise the changed perspectives on our own thinking that we derive from engagements with culturally and/or historically other types of thinking. Heidegger warns us against facile endeavours of comparing and contrasting, which, as a form of comparative philosophy, he sees as a kind of dialectics unworthy of true thinking. Thinking through the term Auseinandersetzung allows us to reflect more meaningfully on comparative philosophy.
Prosocial Ceos And Accounting Manipulation, Mei Feng, Weili Ge, Zhejia Ling, Wei Ting Loh
Prosocial Ceos And Accounting Manipulation, Mei Feng, Weili Ge, Zhejia Ling, Wei Ting Loh
Research Collection School Of Accountancy
This paper examines the association between chief executive officers’ (CEOs’) prosocial tendency and their firms’ likelihood of accounting manipulation. We measure CEOs’ prosocial tendency based on their involvement with charitable organizations. We find that prosocial CEOs are less likely to engage in accounting manipulation, as proxied by material non-reliance restatements and SEC or DOJ enforcement actions. The effect is more pronounced when CEOs are involved with charities that directly aim to improve the welfare of others and when they face stronger incentives to misreport. These results continue to hold in analyses of changes in CEOs’ prosocial tendency around turnover events. …
Dollar Challenger? Cbdcs, Complexities, And Monetary Hegemony, Heng Wang
Dollar Challenger? Cbdcs, Complexities, And Monetary Hegemony, Heng Wang
Research Collection Yong Pung How School Of Law
Digitalization is transforming the architecture of the international monetary system, reshaping how currencies function and financial infrastructures evolve. Among the significant developments are central bank digital currencies (CBDCs)—new digital forms of national currencies. While CBDCs promise benefits such as efficiency, they also generate relational, technological, legal, and governance complexities that would profoundly affect the global financial landscape. Against this backdrop, a compelling question arises: will CBDCs, particularly cross-border CBDCs, challenge U.S. dollar dominance?
To address this, this Article adopts a forward-looking approach to examine three interrelated crucial questions: what makes CBDCs complex? What governance complexity is likely to arise? Will …
Gig Worker Social Referrals On An On-Demand Food Delivery Platform, Hai Wang, Hao Sun, Peter Zhang
Gig Worker Social Referrals On An On-Demand Food Delivery Platform, Hai Wang, Hao Sun, Peter Zhang
Research Collection School Of Computing and Information Systems
Social referral programs are commonly used by online labor platforms to incentivize labor supply by rewarding existing workers for successful referrals. This study investigates the impact of such programs on gig workers' labor supply in online labor platforms using data from an on-demand food delivery platform in Singapore. In particular, we analyze how gig workers' past labor supply and referral behavior influence the generation and value of social referrals. This research offers insights into the mechanisms that drive labor supply dynamics in the gig economy and highlights the effectiveness of social referral programs for shaping worker behavior and enhancing platform …
Compendia: Automated Visual Storytelling Generation From Online Article Collection, Manusha Imesh Karunathilaka Gamage Vidana, Litian Lei, Yiming Gao, Yong Wang, Jiannan Li
Compendia: Automated Visual Storytelling Generation From Online Article Collection, Manusha Imesh Karunathilaka Gamage Vidana, Litian Lei, Yiming Gao, Yong Wang, Jiannan Li
Research Collection School Of Computing and Information Systems
In the digital age, readers value quantitative journalism that is clear, concise, analytical, and humancentred. To understand complex topics, they often piece together scattered facts from multiple articles. Visual storytelling can transform fragmented information into clear, engaging narratives, yet its use with unstructured online articles remains largely unexplored. To fill this gap, we present Compendia, an automated system that analyzes online articles in response to a user’s query and generates a coherent data story tailored to the user’s informational needs. Compendia addresses key challenges of storytelling from unstructured text through two modules covering: Online Article Retrieval, which gathers relevant articles; …
Editorial: Special Section On Challenges And Opportunities In Retrieval-Augmented Generation For Llms: Techniques, Trends, And Applications, Philip S. Yu, Haofen Wang, Feida Zhu
Editorial: Special Section On Challenges And Opportunities In Retrieval-Augmented Generation For Llms: Techniques, Trends, And Applications, Philip S. Yu, Haofen Wang, Feida Zhu
Research Collection School Of Computing and Information Systems
Retrieval-Augmented Generation (RAG) represents a transformative advancement for Large Language Models (LLMs) by integrating external knowledge to substantially improve accuracy and mitigate hallucinations. As a pivotal technology in the contemporary generative Artificial Intelligence (AI) landscape, RAG addresses fundamental challenges in knowledge-intensive tasks. This special issue serves as a dedicated platform to showcase these cutting-edge advancements. It features six rigorously peer-reviewed papers that present state-of-the-art research and applications in the rapidly evolving field of RAG.
Clique Annealing: Semi-Supervised Community Detection Under Crystallization Kinetics, Ling Cheng, Jiashu Pu, Ruicheng Liang, Qian Shao, Hezhe Qiao, Feida Zhu
Clique Annealing: Semi-Supervised Community Detection Under Crystallization Kinetics, Ling Cheng, Jiashu Pu, Ruicheng Liang, Qian Shao, Hezhe Qiao, Feida Zhu
Research Collection School Of Computing and Information Systems
Semi-supervised community detection seeks to find a specified community type when only few communities are labeled. Existing "select-then-refine" pipelines often start from mis-aligned cores and rely on Reinforcement-Learning or Generative Adversarial Network, increasing computational cost and limiting scalability. We address these issues with a unified energy framework under crystallization kinetics that jointly models energy, structure, and growth. Based on this perspective, we propose CLique ANNealing (CLANN), which first employs Nucleus Proposer to select candidate clique as community core under four physics-inspired criteria. A learning-free Transitive Annealer then iteratively merges neighboring cliques and repositions the nucleus, enabling spontaneous, scalable community growth. …