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ArXiv cs.AI 📄 Paper 1d ago
CORAL: Adaptive Retrieval Loop for Culturally-Aligned Multilingual RAG
arXiv:2604.25676v1 Announce Type: cross Abstract: Multilingual retrieval-augmented generation (mRAG) is often implemented within a fixed retrieval space, typica
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ArXiv cs.AI 📄 Paper 1d ago
Spreadsheet Modeling Experiments Using GPTs on Small Problem Statements and the Wall Task
arXiv:2604.25689v1 Announce Type: cross Abstract: This paper investigates how GPT-based tools can assist in building reusable analytical spreadsheet models. Aft
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ArXiv cs.AI 📄 Paper 1d ago
Learning Generalizable Multimodal Representations for Software Vulnerability Detection
arXiv:2604.25711v1 Announce Type: cross Abstract: Source code and its accompanying comments are complementary yet naturally aligned modalities-code encodes stru
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ArXiv cs.AI 📄 Paper 1d ago
Cross-Lingual Jailbreak Detection via Semantic Codebooks
arXiv:2604.25716v1 Announce Type: cross Abstract: Safety mechanisms for large language models (LLMs) remain predominantly English-centric, creating systematic v
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ArXiv cs.AI 📄 Paper 1d ago
Verification of Neural Networks (Lecture Notes)
arXiv:2604.25733v1 Announce Type: cross Abstract: These lecture notes provide an introduction to the verification of neural networks from a theoretical perspect
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ArXiv cs.AI 📄 Paper 1d ago
SAFEdit: Does Multi-Agent Decomposition Resolve the Reliability Challenges of Instructed Code Editing?
arXiv:2604.25737v1 Announce Type: cross Abstract: Instructed code editing is a significant challenge for large language models (LLMs). On the EditBench benchmar
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ArXiv cs.AI 📄 Paper 1d ago
Threat-Oriented Digital Twinning for Security Evaluation of Autonomous Platforms
arXiv:2604.25757v1 Announce Type: cross Abstract: Open, unclassified research on secure autonomy is constrained by limited access to operational platforms, cont
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ArXiv cs.AI 📄 Paper 1d ago
Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile
arXiv:2604.25765v1 Announce Type: cross Abstract: The quality of training data is critical to the performance of machine learning models. In this paper, the Err
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ArXiv cs.AI 📄 Paper 1d ago
CGU-ILALab at FoodBench-QA 2026: Comparing Traditional and LLM-based Approaches for Recipe Nutrient Estimation
arXiv:2604.25774v1 Announce Type: cross Abstract: Accurate nutrient estimation from unstructured recipe text is an important yet challenging problem in dietary
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ArXiv cs.AI 📄 Paper 1d ago
Can Code Evaluation Metrics Detect Code Plagiarism?
arXiv:2604.25778v1 Announce Type: cross Abstract: Source Code Plagiarism Detection (SCPD) plays an important role in maintaining fairness and academic integrity
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ArXiv cs.AI 📄 Paper 1d ago
Sustained Gradient Alignment Mediates Subliminal Learning in a Multi-Step Setting: Evidence from MNIST Auxiliary Logit Distillation Experiment
arXiv:2604.25779v1 Announce Type: cross Abstract: In the MNIST auxiliary logit distillation experiment, a student can acquire an unintended teacher trait despit
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ArXiv cs.AI 📄 Paper 1d ago
At the Edge of the Heart: ULP FPGA-Based CNN for On-Device Cardiac Feature Extraction in Smart Health Sensors for Astronauts
arXiv:2604.25799v1 Announce Type: cross Abstract: The convergence of accelerating human spaceflight ambitions and critical terrestrial health monitoring demands
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ArXiv cs.AI 📄 Paper 1d ago
MAIC-UI: Making Interactive Courseware with Generative UI
arXiv:2604.25806v1 Announce Type: cross Abstract: Creating interactive STEM courseware traditionally requires HTML/CSS/JavaScript expertise, leaving barriers fo
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ArXiv cs.AI 📄 Paper 1d ago
PSI-Bench: Towards Clinically Grounded and Interpretable Evaluation of Depression Patient Simulators
arXiv:2604.25840v1 Announce Type: cross Abstract: Patient simulators are gaining traction in mental health training by providing scalable exposure to complex an
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ArXiv cs.AI 📄 Paper 1d ago
Towards Agentic Investigation of Security Alerts
arXiv:2604.25846v1 Announce Type: cross Abstract: Security analysts are overwhelmed by the volume of alerts and the low context provided by many detection syste
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ArXiv cs.AI 📄 Paper 1d ago
From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling
arXiv:2604.25847v1 Announce Type: cross Abstract: Optimization modeling underpins real-world decision-making in logistics, manufacturing, energy, and public ser
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ArXiv cs.AI 📄 Paper 1d ago
G-Loss: Graph-Guided Fine-Tuning of Language Models
arXiv:2604.25853v1 Announce Type: cross Abstract: Traditional loss functions, including cross-entropy, contrastive, triplet, and su pervised contrastive losses,
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ArXiv cs.AI 📄 Paper 1d ago
SIEVES: Selective Prediction Generalizes through Visual Evidence Scoring
arXiv:2604.25855v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) achieve ever-stronger performance on visual-language tasks. Even as t
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ArXiv cs.AI 📄 Paper 1d ago
Investigation into In-Context Learning Capabilities of Transformers
arXiv:2604.25858v1 Announce Type: cross Abstract: Transformers have demonstrated a strong ability for in-context learning (ICL), enabling models to solve previo
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ArXiv cs.AI 📄 Paper 1d ago
Luminol-AIDetect: Fast Zero-shot Machine-Generated Text Detection based on Perplexity under Text Shuffling
arXiv:2604.25860v1 Announce Type: cross Abstract: Machine-generated text (MGT) detection requires identifying structurally invariant signals across generation m
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ArXiv cs.AI 📄 Paper 1d ago
RESTestBench: A Benchmark for Evaluating the Effectiveness of LLM-Generated REST API Test Cases from NL Requirements
arXiv:2604.25862v1 Announce Type: cross Abstract: Existing REST API testing tools are typically evaluated using code coverage and crash-based fault metrics. How
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ArXiv cs.AI 📄 Paper 1d ago
When Errors Can Be Beneficial: A Categorization of Imperfect Rewards for Policy Gradient
arXiv:2604.25872v1 Announce Type: cross Abstract: Training language models via reinforcement learning often relies on imperfect proxy rewards, since ground trut
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ArXiv cs.AI 📄 Paper 1d ago
No Pedestrian Left Behind: Real-Time Detection and Tracking of Vulnerable Road Users for Adaptive Traffic Signal Control
arXiv:2604.25887v1 Announce Type: cross Abstract: Current pedestrian crossing signals operate on fixed timing without adjustment to pedestrian behavior, which c
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ArXiv cs.AI 📄 Paper 1d ago
Conditional misalignment: common interventions can hide emergent misalignment behind contextual triggers
arXiv:2604.25891v1 Announce Type: cross Abstract: Finetuning a language model can lead to emergent misalignment (EM) [Betley et al., 2025b]. Models trained on a
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