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◬ AI & Machine Learning Jun 26, 2026
What We are Missing in Multimodal LLM Evaluation?

arXiv:2606.26348v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) can process diverse inputs, e.g., text, images, audio, and video, and generate textual responses. While their c…

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◬ AI & Machine Learning Jun 26, 2026
How Do Tool-Augmented LLM Agents Perform on Real-World Energy Analytics Tasks?

arXiv:2606.26346v1 Announce Type: new Abstract: Agentic benchmarks have emerged across general-purpose and domain-specific settings, including finance, coding, law, and drug discovery, yet energy-doma…

arXiv AI Read →
◬ AI & Machine Learning Jun 26, 2026
The Verification Horizon: No Silver Bullet for Coding Agent Rewards

arXiv:2606.26300v1 Announce Type: new Abstract: A classical intuition holds that verifying a solution is easier than producing one. For today's coding agents, this intuition is being inverted: as foun…

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◬ AI & Machine Learning Jun 26, 2026
COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami

arXiv:2606.26299v1 Announce Type: new Abstract: While generative AI has achieved remarkable success in solving problems with verifiable solutions, generating physical art that satisfies both strict ge…

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◬ AI & Machine Learning Jun 26, 2026
Governing Actions, Not Agents: Institutional Attestation as a Governance Model for Autonomous AI Systems

arXiv:2606.26298v1 Announce Type: new Abstract: Autonomous AI agents may begin to perform consequential, irreversible actions such as clinical prescribing and production software deployment. This pape…

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◬ AI & Machine Learning Jun 26, 2026
Accelerating Skill Assessment in Chess: A Drift-Diffusion-Enhanced Elo Rating System

arXiv:2606.26267v1 Announce Type: new Abstract: Rating systems such as Elo serve as the gold standard for matchmaking in competitive chess. However, they inherently suffer from response lag due to the…

arXiv AI Read →
◬ AI & Machine Learning Jun 26, 2026
Knowledge-augmented Agentic AI for Mental Health Medication Information Seeking

arXiv:2606.26205v1 Announce Type: new Abstract: Patients increasingly seek medication information online, yet safety knowledge for psychiatric drugs is split between regulatory adverse-event records, …

arXiv AI Read →
◬ AI & Machine Learning Jun 26, 2026
Agentic Analysis for Agentic Infrastructure: An LLM-Powered Pipeline for Comparative Governance of DAO and Corporate AI Protocols

arXiv:2606.26203v1 Announce Type: new Abstract: As AI agent protocols proliferate, the governance structures shaping their interoperability standards remain empirically underexamined. We introduce an …

arXiv AI Read →
◬ AI & Machine Learning Jun 26, 2026
AlgoEvolve: LLM-driven Meta-evolution of Algorithmic Trading Programs

arXiv:2606.26173v1 Announce Type: new Abstract: Recent work shows that Large Language Models (LLMs) can act as semantic mutation operators for the evolutionary discovery of programs and proofs. Most c…

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◬ AI & Machine Learning Jun 26, 2026
Refusal Lives Downstream of Persona in Chat Models

arXiv:2606.26161v1 Announce Type: new Abstract: Linear directions in activation space have been identified for both refusal and persona traits in instruction-tuned chat models, but the two have been s…

arXiv AI Read →
◬ AI & Machine Learning Jun 26, 2026
Life After Benchmark Saturation: A Case Study of CORE-Bench

arXiv:2606.26158v1 Announce Type: new Abstract: When a benchmark's accuracy saturates, it is often retired and replaced with a more challenging version. We show that this approach privileges accuracy …

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◬ AI & Machine Learning Jun 26, 2026
Detecting and Controlling Sycophancy with Cascading Linear Features

arXiv:2606.26155v1 Announce Type: new Abstract: Interpreting and controlling model behaviors through activation steering methods requires many pairs of contrastive samples that clearly exhibit desired…

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◬ AI & Machine Learning Jun 26, 2026
Type-based information flow analysis for $\pi$-calculus with a dynamically extensible security lattice

arXiv:2606.27059v1 Announce Type: new Abstract: We develop a type system for secure information flow where new security levels can be created and inserted into the security lattice dynamically, i.e., …

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◬ AI & Machine Learning Jun 26, 2026
Physical Layer Authentication With Channel Knowledge Maps in Indoor Environments

arXiv:2606.27044v1 Announce Type: new Abstract: Physical layer authentication (PLA) allows to authenticate the user by comparing measurements over time, assuming their time consistency or by modeling …

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◬ AI & Machine Learning Jun 26, 2026
Design and Performance Evaluation of Secure RF and WiFi-Based Communication in Drone Swarms via Testbed Implementation

arXiv:2606.27028v1 Announce Type: new Abstract: Unmanned aerial vehicle (UAV) swarms rely on distributed coordination and cooperative communication to support scalable operations, extended coverage, a…

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◬ AI & Machine Learning Jun 26, 2026
ShareLock: A Stealthy Multi-Tool Threshold Poisoning Attack Against MCP

arXiv:2606.27027v1 Announce Type: new Abstract: With the rapid evolution of LLM-driven agents, Model Context Protocol (MCP), an open protocol bridging LLMs with external tools, has quickly become foun…

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◬ AI & Machine Learning Jun 26, 2026
Protocol Prying: Systematic Vulnerability Research in the Apple AirDrop and Android Quick Share Proximity Transfer Protocols

arXiv:2606.26967v1 Announce Type: new Abstract: Apple AirDrop and Google/Samsung Quick Share are proximity file-transfer protocols used by over five billion devices, yet their application-layer securi…

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◬ AI & Machine Learning Jun 26, 2026
Jailbreaking for the Average Jane: Choosing Optimal Jailbreaks via Bandit Algorithms for Automatically Enhanced Queries

arXiv:2606.26936v1 Announce Type: new Abstract: With a profusion of jailbreaks for LLMs now widely known, a growing concern is that non-expert malicious actors ("the average Jane") could elicit action…

arXiv Security Read →
◬ AI & Machine Learning Jun 26, 2026
Chai: Agentic Discovery of Cryptographic Misuse Vulnerabilities

arXiv:2606.26933v1 Announce Type: new Abstract: AI-assisted vulnerability discovery has proven effective for bug classes like memory safety, where instrumentation confirms memory violations and effici…

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◬ AI & Machine Learning Jun 26, 2026
Fortress and Gatekeeper: Theorizing Transitive Trust in Third-Party Cybersecurity Risk Governance

arXiv:2606.26866v1 Announce Type: new Abstract: Third-party vendors, such as analytics platforms, cloud services, identity providers, and software suppliers, are increasingly embedded in digital servi…

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◬ AI & Machine Learning Jun 26, 2026
SpikeTimer: Exploring Active Copyright Protection in Spiking Neural Networks via Temporal Backdoor Regularization

arXiv:2606.26841v1 Announce Type: new Abstract: Spiking Neural Networks (SNN) have emerged as a revolutionary paradigm compared to traditional Deep Neural Networks (DNN) in energy-efficient computing,…

arXiv Security Read →
◬ AI & Machine Learning Jun 26, 2026
MIRROR: Novelty-Constrained Memory-Guided MCTS Red-Teaming for Agentic RAG

arXiv:2606.26793v1 Announce Type: new Abstract: Multimodal agentic retrieval-augmented generation (RAG) systems expand the attack surface beyond prompt injection to include text poisoning, image injec…

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◬ AI & Machine Learning Jun 26, 2026
MergeLLL: A Hierarchical Divide-and-Conquer Framework for LLL-Based Lattice Reduction

arXiv:2606.26784v1 Announce Type: new Abstract: Lattice basis reduction algorithms have various applications in computational number theory and lattice-based cryptography, but their complexity increas…

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◬ AI & Machine Learning Jun 26, 2026
DroidBreaker: Practical and Functional Problem-Space Attacks on Machine-Learning Android Malware Detectors

arXiv:2606.26707v1 Announce Type: new Abstract: Adversarial APKs are Android applications modified in the problem space to evade machine-learning malware detectors. In this work, we first show that, d…

arXiv Security Read →
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