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All ⚡ AI Lessons (16133) ArXiv cs.AIDev.to AIDev.to · FORUM WEBForbes InnovationMedium · ProgrammingMedium · AI
ArXiv cs.AI 📄 Paper 11h ago
Multimodal Transformer for Sample-Aware Prediction of Metal-Organic Framework Properties
arXiv:2604.19383v1 Announce Type: cross Abstract: Metal-organic frameworks (MOFs) are a major target of machine-learning-based property prediction, yet most mod
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ArXiv cs.AI 📄 Paper 11h ago
Revisiting Catastrophic Forgetting in Continual Knowledge Graph Embedding
arXiv:2604.19401v1 Announce Type: cross Abstract: Knowledge Graph Embeddings (KGEs) support a wide range of downstream tasks over Knowledge Graphs (KGs). In pra
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ArXiv cs.AI 📄 Paper 11h ago
M$^{2}$GRPO: Mamba-based Multi-Agent Group Relative Policy Optimization for Biomimetic Underwater Robots Pursuit
arXiv:2604.19404v1 Announce Type: cross Abstract: Traditional policy learning methods in cooperative pursuit face fundamental challenges in biomimetic underwate
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ArXiv cs.AI 📄 Paper 11h ago
HP-Edit: A Human-Preference Post-Training Framework for Image Editing
arXiv:2604.19406v1 Announce Type: cross Abstract: Common image editing tasks typically adopt powerful generative diffusion models as the leading paradigm for re
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ArXiv cs.AI 📄 Paper 11h ago
GOLD-BEV: GrOund and aeriaL Data for Dense Semantic BEV Mapping of Dynamic Scenes
arXiv:2604.19411v1 Announce Type: cross Abstract: Understanding road scenes in a geometrically consistent, scene-centric representation is crucial for planning
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ArXiv cs.AI 📄 Paper 11h ago
Counting Worlds Branching Time Semantics for post-hoc Bias Mitigation in generative AI
arXiv:2604.19431v1 Announce Type: cross Abstract: Generative AI systems are known to amplify biases present in their training data. While several inference-time
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ArXiv cs.AI 📄 Paper 11h ago
LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues
arXiv:2604.19464v1 Announce Type: cross Abstract: More than half of the global population struggles to meet their civil justice needs due to limited legal resou
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ArXiv cs.AI 📄 Paper 11h ago
A neural operator framework for data-driven discovery of stability and receptivity in physical systems
arXiv:2604.19465v1 Announce Type: cross Abstract: Understanding how complex systems respond to perturbations, such as whether they will remain stable or what th
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ArXiv cs.AI 📄 Paper 11h ago
Fairness Audits of Institutional Risk Models in Deployed ML Pipelines
arXiv:2604.19468v1 Announce Type: cross Abstract: Fairness audits of institutional risk models are critical for understanding how deployed machine learning pipe
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ArXiv cs.AI 📄 Paper 11h ago
EVPO: Explained Variance Policy Optimization for Adaptive Critic Utilization in LLM Post-Training
arXiv:2604.19485v1 Announce Type: cross Abstract: Reinforcement learning (RL) for LLM post-training faces a fundamental design choice: whether to use a learned
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ArXiv cs.AI 📄 Paper 11h ago
When Graph Structure Becomes a Liability: A Critical Re-Evaluation of Graph Neural Networks for Bitcoin Fraud Detection under Temporal Distribution Shift
arXiv:2604.19514v1 Announce Type: cross Abstract: The consensus that GCN, GraphSAGE, GAT, and EvolveGCN outperform feature-only baselines on the Elliptic Bitcoi
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ArXiv cs.AI 📄 Paper 11h ago
Revisiting RaBitQ and TurboQuant: A Symmetric Comparison of Methods, Theory, and Experiments
arXiv:2604.19528v1 Announce Type: cross Abstract: This technical note revisits the relationship between RaBitQ and TurboQuant under a unified comparison framewo
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ArXiv cs.AI 📄 Paper 11h ago
BEAT: Tokenizing and Generating Symbolic Music by Uniform Temporal Steps
arXiv:2604.19532v1 Announce Type: cross Abstract: Tokenizing music to fit the general framework of language models is a compelling challenge, especially conside
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ArXiv cs.AI 📄 Paper 11h ago
Cyber Defense Benchmark: Agentic Threat Hunting Evaluation for LLMs in SecOps
arXiv:2604.19533v1 Announce Type: cross Abstract: We introduce the Cyber Defense Benchmark, a benchmark for measuring how well large language model (LLM) agents
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ArXiv cs.AI 📄 Paper 11h ago
Mesh Memory Protocol: Semantic Infrastructure for Multi-Agent LLM Systems
arXiv:2604.19540v1 Announce Type: cross Abstract: Teams of LLM agents increasingly collaborate on tasks spanning days or weeks: multi-day data-generation sprint
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ArXiv cs.AI 📄 Paper 11h ago
Taming Actor-Observer Asymmetry in Agents via Dialectical Alignment
arXiv:2604.19548v1 Announce Type: cross Abstract: Large Language Model agents have rapidly evolved from static text generators into dynamic systems capable of e
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ArXiv cs.AI 📄 Paper 11h ago
EgoSelf: From Memory to Personalized Egocentric Assistant
arXiv:2604.19564v1 Announce Type: cross Abstract: Egocentric assistants often rely on first-person view data to capture user behavior and context for personaliz
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ArXiv cs.AI 📄 Paper 11h ago
Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps
arXiv:2604.19565v1 Announce Type: cross Abstract: Hallucinations in Speech Large Language Models (SpeechLLMs) pose significant risks, yet existing detection met
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ArXiv cs.AI 📄 Paper 11h ago
Lyapunov-Certified Direct Switching Theory for Q-Learning
arXiv:2604.19569v1 Announce Type: cross Abstract: Q-learning is one of the most fundamental algorithms in reinforcement learning. We analyze constant-stepsize Q
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ArXiv cs.AI 📄 Paper 11h ago
Impact of large language models on peer review opinions from a fine-grained perspective: Evidence from top conference proceedings in AI
arXiv:2604.19578v1 Announce Type: cross Abstract: With the rapid advancement of Large Language Models (LLMs), the academic community has faced unprecedented dis
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ArXiv cs.AI 📄 Paper 11h ago
RoLegalGEC: Legal Domain Grammatical Error Detection and Correction Dataset for Romanian
arXiv:2604.19593v1 Announce Type: cross Abstract: The importance of clear and correct text in legal documents cannot be understated, and, consequently, a gramma
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ArXiv cs.AI 📄 Paper 11h ago
Cross-Model Consistency of AI-Generated Exercise Prescriptions: A Repeated Generation Study Across Three Large Language Models
arXiv:2604.19598v1 Announce Type: cross Abstract: This study compared repeated generation consistency of exercise prescription outputs across three large langua
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ArXiv cs.AI 📄 Paper 11h ago
Towards Streaming Target Speaker Extraction via Chunk-wise Interleaved Splicing of Autoregressive Language Model
arXiv:2604.19635v1 Announce Type: cross Abstract: While generative models have set new benchmarks for Target Speaker Extraction (TSE), their inherent reliance o
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ArXiv cs.AI 📄 Paper 11h ago
Safety-Critical Contextual Control via Online Riemannian Optimization with World Models
arXiv:2604.19639v1 Announce Type: cross Abstract: Modern world models are becoming too complex to admit explicit dynamical descriptions. We study safety-critica
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