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All ⚡ AI Lessons (12872) ArXiv cs.AIDev.to · FORUM WEBDev.to AIForbes InnovationOpenAI NewsHugging Face Blog
ArXiv cs.AI 📄 Paper 7h ago
Layered Mutability: Continuity and Governance in Persistent Self-Modifying Agents
arXiv:2604.14717v1 Announce Type: new Abstract: Persistent language-model agents increasingly combine tool use, tiered memory, reflective prompting, and runtime
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ArXiv cs.AI 📄 Paper 7h ago
The Agentification of Scientific Research: A Physicist's Perspective
arXiv:2604.14718v1 Announce Type: new Abstract: This article argues that the most important significance of the AI revolution, especially the rise of large lang
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ArXiv cs.AI 📄 Paper 7h ago
Personalized and Context-Aware Transformer Models for Predicting Post-Intervention Physiological Responses from Wearable Sensor Data
arXiv:2604.14738v1 Announce Type: new Abstract: Consumer wearables enable continuous measurement of physiological data related to stress and recovery, but turni
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ArXiv cs.AI 📄 Paper 7h ago
Disentangle-then-Refine: LLM-Guided Decoupling and Structure-Aware Refinement for Graph Contrastive Learning
arXiv:2604.14746v1 Announce Type: new Abstract: Conventional Graph Contrastive Learning (GCL) on Text-Attributed Graphs (TAGs) relies on blind stochastic augmen
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ArXiv cs.AI 📄 Paper 7h ago
CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning
arXiv:2604.14768v1 Announce Type: new Abstract: Large Language Models (LLMs) exhibit strong mathematical reasoning when trained on high-quality Chain-of-Thought
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ArXiv cs.AI 📄 Paper 7h ago
MirrorBench: Evaluating Self-centric Intelligence in MLLMs by Introducing a Mirror
arXiv:2604.14785v1 Announce Type: new Abstract: Recent progress in Multimodal Large Language Models (MLLMs) has demonstrated remarkable advances in perception a
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ArXiv cs.AI 📄 Paper 7h ago
CogEvolution: A Human-like Generative Educational Agent to Simulate Student's Cognitive Evolution
arXiv:2604.14786v1 Announce Type: new Abstract: Generative Agents, owing to their precise modeling and simulation capabilities of human behavior, have become a
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ArXiv cs.AI 📄 Paper 7h ago
Sequence Search: Automated Sequence Design using Neural Architecture Search
arXiv:2604.14788v1 Announce Type: new Abstract: Developing an MR sequence is challenging and remains largely constrained by human intuition. Recently, AI-driven
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ArXiv cs.AI 📄 Paper 7h ago
A Comparative Study of CNN Optimization Methods for Edge AI: Exploring the Role of Early Exits
arXiv:2604.14789v1 Announce Type: new Abstract: Deploying deep neural networks on edge devices requires balancing accuracy, latency, and resource constraints un
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ArXiv cs.AI 📄 Paper 7h ago
Diffusion Crossover: Defining Evolutionary Recombination in Diffusion Models via Noise Sequence Interpolation
arXiv:2604.14790v1 Announce Type: new Abstract: Interactive Evolutionary Computation (IEC) provides a powerful framework for optimizing subjective criteria such
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ArXiv cs.AI 📄 Paper 7h ago
The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows
arXiv:2604.14807v1 Announce Type: new Abstract: The rapid integration of large language models (LLMs) into everyday workflows has transformed how individuals pe
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ArXiv cs.AI 📄 Paper 7h ago
Beyond Literal Summarization: Redefining Hallucination for Medical SOAP Note Evaluation
arXiv:2604.14829v1 Announce Type: new Abstract: Evaluating large language models (LLMs) for clinical documentation tasks such as SOAP note generation remains ch
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ArXiv cs.AI 📄 Paper 7h ago
Intermediate Layers Encode Optimal Biological Representations in Single-Cell Foundation Models
arXiv:2604.14838v1 Announce Type: new Abstract: Current single-cell foundation model benchmarks universally extract final layer embeddings, assuming these repre
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ArXiv cs.AI 📄 Paper 7h ago
TrigReason: Trigger-Based Collaboration between Small and Large Reasoning Models
arXiv:2604.14847v1 Announce Type: new Abstract: Large Reasoning Models (LRMs) achieve strong performance on complex tasks through extended chains of thought but
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ArXiv cs.AI 📄 Paper 7h ago
Benchmarks for Trajectory Safety Evaluation and Diagnosis in OpenClaw and Codex: ATBench-Claw and ATBench-CodeX
arXiv:2604.14858v1 Announce Type: new Abstract: As agent systems move into increasingly diverse execution settings, trajectory-level safety evaluation and diagn
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ArXiv cs.AI 📄 Paper 7h ago
The Missing Knowledge Layer in AI: A Framework for Stable Human-AI Reasoning
arXiv:2604.14881v1 Announce Type: new Abstract: Large language models are increasingly integrated into decision-making in areas such as healthcare, law, finance
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ArXiv cs.AI 📄 Paper 7h ago
Cooperate to Compete: Strategic Data Generation and Incentivization Framework for Coopetitive Cross-Silo Federated Learning
arXiv:2604.14886v1 Announce Type: new Abstract: In data-sensitive domains such as healthcare, cross-silo federated learning (CFL) allows organizations to collab
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ArXiv cs.AI 📄 Paper 7h ago
MemoSight: Unifying Context Compression and Multi Token Prediction for Reasoning Acceleration
arXiv:2604.14889v1 Announce Type: new Abstract: While Chain-of-thought (CoT) reasoning enables LLMs to solve challenging reasoning problems, as KV cache grows l
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ArXiv cs.AI 📄 Paper 7h ago
Toward Agentic RAG for Ukrainian
arXiv:2604.14896v1 Announce Type: new Abstract: We present an initial investigation into Agentic Retrieval-Augmented Generation (RAG) for Ukrainian, conducted w
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ArXiv cs.AI 📄 Paper 7h ago
Governing Reflective Human-AI Collaboration: A Framework for Epistemic Scaffolding and Traceable Reasoning
arXiv:2604.14898v1 Announce Type: new Abstract: Large language models have advanced rapidly, from pattern recognition to emerging forms of reasoning, yet they r
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ArXiv cs.AI 📄 Paper 7h ago
ADAPT: Benchmarking Commonsense Planning under Unspecified Affordance Constraints
arXiv:2604.14902v1 Announce Type: new Abstract: Intelligent embodied agents should not simply follow instructions, as real-world environments often involve unex
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ArXiv cs.AI 📄 Paper 7h ago
Dual-Axis Generative Reward Model Toward Semantic and Turn-taking Robustness in Interactive Spoken Dialogue Models
arXiv:2604.14920v1 Announce Type: new Abstract: Achieving seamless, human-like interaction remains a key challenge for full-duplex spoken dialogue models (SDMs)
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ArXiv cs.AI 📄 Paper 7h ago
WavAlign: Enhancing Intelligence and Expressiveness in Spoken Dialogue Models via Adaptive Hybrid Post-Training
arXiv:2604.14932v1 Announce Type: new Abstract: End-to-end spoken dialogue models have garnered significant attention because they offer a higher potential ceil
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ArXiv cs.AI 📄 Paper 7h ago
Discovering Novel LLM Experts via Task-Capability Coevolution
arXiv:2604.14969v1 Announce Type: new Abstract: Frontier model developers aim to train models continually to possess emergent, diverse capabilities. To extend c
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