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◬ AI & Machine Learning Apr 24, 2026
Align Generative Artificial Intelligence with Human Preferences: A Novel Large Language Model Fine-Tuning Method for Online Review Management

arXiv:2604.21209v1 Announce Type: new Abstract: Online reviews have played a pivotal role in consumers' decision-making processes. Existing research has highlighted the significant impact of manageria…

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◬ AI & Machine Learning Apr 24, 2026
Trust but Verify: Introducing DAVinCI -- A Framework for Dual Attribution and Verification in Claim Inference for Language Models

arXiv:2604.21193v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated remarkable fluency and versatility across a wide range of NLP tasks, yet they remain prone to factual ina…

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◬ AI & Machine Learning Apr 24, 2026
Multi-Agent Empowerment and Emergence of Complex Behavior in Groups

arXiv:2604.21155v1 Announce Type: new Abstract: Intrinsic motivations are receiving increasing attention, i.e. behavioral incentives that are not engineered, but emerge from the interaction of an agen…

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◬ AI & Machine Learning Apr 24, 2026
Agentic AI for Personalized Physiotherapy: A Multi-Agent Framework for Generative Video Training and Real-Time Pose Correction

arXiv:2604.21154v1 Announce Type: new Abstract: At-home physiotherapy compliance remains critically low due to a lack of personalized supervision and dynamic feedback. Existing digital health solution…

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◬ AI & Machine Learning Apr 24, 2026
AI Governance under Political Turnover: The Alignment Surface of Compliance Design

arXiv:2604.21103v1 Announce Type: new Abstract: Governments are increasingly interested in using AI to make administrative decisions cheaper, more scalable, and more consistent. But for probabilistic …

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◬ AI & Machine Learning Apr 24, 2026
Propensity Inference: Environmental Contributors to LLM Behaviour

arXiv:2604.21098v1 Announce Type: new Abstract: Motivated by loss of control risks from misaligned AI systems, we develop and apply methods for measuring language models' propensity for unsanctioned b…

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◬ AI & Machine Learning Apr 24, 2026
Mind the Prompt: Self-adaptive Generation of Task Plan Explanations via LLMs

arXiv:2604.21092v1 Announce Type: new Abstract: Integrating Large Language Models (LLMs) into complex software systems enables the generation of human-understandable explanations of opaque AI processe…

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◬ AI & Machine Learning Apr 24, 2026
InVitroVision: a Multi-Modal AI Model for Automated Description of Embryo Development using Natural Language

arXiv:2604.21061v1 Announce Type: new Abstract: The application of artificial intelligence (AI) in IVF has shown promise in improving consistency and standardization of decisions, but often relies on …

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◬ AI & Machine Learning Apr 24, 2026
Active Data

arXiv:2604.21044v1 Announce Type: new Abstract: In some complex domains, certain problem-specific decompositions can provide advantages over monolithic designs by enabling comprehension and specificat…

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◬ AI & Machine Learning Apr 24, 2026
Who Defines Fairness? Target-Based Prompting for Demographic Representation in Generative Models

arXiv:2604.21036v1 Announce Type: new Abstract: Text-to-image(T2I) models like Stable Diffusion and DALL-E have made generative AI widely accessible, yet recent studies reveal that these systems often…

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◬ AI & Machine Learning Apr 24, 2026
HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering

arXiv:2604.21027v1 Announce Type: new Abstract: Electronic health record (EHR) question answering is often handled by LLM-based pipelines that are costly to deploy and do not explicitly leverage the h…

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◬ AI & Machine Learning Apr 24, 2026
Adaptive Test-Time Compute Allocation with Evolving In-Context Demonstrations

arXiv:2604.21018v1 Announce Type: new Abstract: While scaling test-time compute can substantially improve model performance, existing approaches either rely on static compute allocation or sample from…

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◬ AI & Machine Learning Apr 24, 2026
Deep FinResearch Bench: Evaluating AI's Ability to Conduct Professional Financial Investment Research

arXiv:2604.21006v1 Announce Type: new Abstract: We introduce Deep FinResearch Bench, a practical and comprehensive evaluation framework for deep research (DR) agents in financial investment research. …

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◬ AI & Machine Learning Apr 24, 2026
The Last Harness You'll Ever Build

arXiv:2604.21003v1 Announce Type: new Abstract: AI agents are increasingly deployed on complex, domain-specific workflows -- navigating enterprise web applications that require dozens of clicks and fo…

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◬ AI & Machine Learning Apr 24, 2026
Value-Conflict Diagnostics Reveal Widespread Alignment Faking in Language Models

arXiv:2604.20995v1 Announce Type: new Abstract: Alignment faking, where a model behaves aligned with developer policy when monitored but reverts to its own preferences when unobserved, is a concerning…

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◬ AI & Machine Learning Apr 24, 2026
Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon Tasks

arXiv:2604.20987v1 Announce Type: new Abstract: Long horizon interactive environments are a testbed for evaluating agents skill usage abilities. These environments demand multi step reasoning, the cha…

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◬ AI & Machine Learning Apr 24, 2026
Escaping the Agreement Trap: Defensibility Signals for Evaluating Rule-Governed AI

arXiv:2604.20972v1 Announce Type: new Abstract: Content moderation systems are typically evaluated by measuring agreement with human labels. In rule-governed environments this assumption fails: multip…

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◬ AI & Machine Learning Apr 24, 2026
Architecture of an AI-Based Automated Course of Action Generation System for Military Operations

arXiv:2604.20862v1 Announce Type: new Abstract: The automation system for Course of Action (CoA) planning is an essential element in future warfare. As maneuver speeds increase, surveillance ranges ex…

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◬ AI & Machine Learning Apr 24, 2026
A-THENA: Early Intrusion Detection for IoT with Time-Aware Hybrid Encoding and Network-Specific Augmentation

arXiv:2604.21623v1 Announce Type: new Abstract: The proliferation of Internet of Things (IoT) devices has significantly expanded attack surfaces, making IoT ecosystems particularly susceptible to soph…

arXiv Security Read →
◬ AI & Machine Learning Apr 24, 2026
Process-Mining of Hypertraces: Enabling Scalable Formal Security Verification of (Automotive) Network Architectures

arXiv:2604.21606v1 Announce Type: new Abstract: The automotive domain is transitioning: vehicles act as rolling servers, persistently connected to numerous external entities. This connectivity, combin…

arXiv Security Read →
◬ AI & Machine Learning Apr 24, 2026
Mitigate or Fail: How Risk Management Shapes Cybersecurity Competency

arXiv:2604.21604v1 Announce Type: new Abstract: Contemporary cybersecurity governance assumes that professionals apply risk reasoning. Yet major organisational failures persist despite investment in t…

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◬ AI & Machine Learning Apr 24, 2026
Benchmarking the Utility of Privacy-Preserving Cox Regression Under Data-Driven Clipping Bounds: A Multi-Dataset Simulation Study

arXiv:2604.21491v1 Announce Type: new Abstract: Differential privacy (DP) is a mathematical framework that guarantees individual privacy; however, systematic evaluation of its impact on statistical ut…

arXiv Security Read →
◬ AI & Machine Learning Apr 24, 2026
MCP Pitfall Lab: Exposing Developer Pitfalls in MCP Tool Server Security under Multi-Vector Attacks

arXiv:2604.21477v1 Announce Type: new Abstract: Model Context Protocol (MCP) is increasingly adopted for tool-integrated LLM agents, but its multi-layer design and third-party server ecosystem expand …

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◬ AI & Machine Learning Apr 24, 2026
A Stackelberg Model for Hybridization in Cryptography

arXiv:2604.21436v1 Announce Type: new Abstract: Similar to a strategic interaction between rational and intelligent agents, cryptography problems can be examined through the prism of game theory. In t…

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