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1. An Evaluation-Driven Approach to Designing LLM Agents: Process and Architecture

2. Architectural Patterns for Designing Quantum Artificial Intelligence Systems

3. A Taxonomy of AgentOps for Enabling Observability of Foundation Model based Agents

4. DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models

5. Achieving Responsible AI through ESG: Insights and Recommendations from Industry Engagement

6. A Taxonomy of Architecture Options for Foundation Model-based Agents: Analysis and Decision Model

7. Designing Multi-layered Runtime Guardrails for Foundation Model Based Agents: Swiss Cheese Model for AI Safety by Design

8. Responsible AI Question Bank: A Comprehensive Tool for AI Risk Assessment

9. Integrating ESG and AI: A Comprehensive Responsible AI Assessment Framework

10. Learning Interpretable Scheduling Algorithms for Data Processing Clusters

11. Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning

12. Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agents

13. Provably Unlearnable Data Examples

14. An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping

15. LuaTaint: A Static Analysis System for Web Configuration Interface Vulnerability of Internet of Things Devices

16. Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems

17. Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models

18. Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective

19. Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability

20. Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model based Agents

21. Local Differential Privacy for Smart Meter Data Sharing

22. Tag Your Fish in the Broken Net: A Responsible Web Framework for Protecting Online Privacy and Copyright

23. Pop Quiz! Do Pre-trained Code Models Possess Knowledge of Correct API Names?

24. Decentralised Governance-Driven Architecture for Designing Foundation Model based Systems: Exploring the Role of Blockchain in Responsible AI

25. Quantum Software Analytics: Opportunities and Challenges

26. Trust in Software Supply Chains: Blockchain-Enabled SBOM and the AIBOM Future

27. Prompt Sapper: LLM-Empowered Software Engineering Infrastructure for AI-Native Services

33. Distributed Trust Through the Lens of Software Architecture

34. QB4AIRA: A Question Bank for AI Risk Assessment

35. A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture

36. SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics

37. On the Way to SBOMs: Investigating Design Issues and Solutions in Practice

38. A Reference Architecture for Designing Foundation Model based Systems

39. Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges

40. Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation

41. To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods

42. Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence

43. Emerging Synergies in Causality and Deep Generative Models: A Survey

44. Towards Concrete and Connected AI Risk Assessment (C$^2$AIRA): A Systematic Mapping Study

45. An Empirical Study on Software Bill of Materials: Where We Stand and the Road Ahead

46. Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible AI Engineering Approach

47. BGRA: A Reference Architecture for Blockchain Governance

48. Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering

50. Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects

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