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All ⚡ AI Lessons (10132) ArXiv cs.AIDev.to · FORUM WEBForbes InnovationDev.to AIOpenAI NewsHugging Face Blog
ArXiv cs.AI 📄 Paper 1h ago
Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition
arXiv:2604.08708v1 Announce Type: cross Abstract: While Large Language Model-based Multi-Agent Systems (MAS) consistently outperform single-agent systems on com
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ArXiv cs.AI 📄 Paper 1h ago
Deep Learning-Based Tracking and Lineage Reconstruction of Ligament Breakup
arXiv:2604.08711v1 Announce Type: cross Abstract: The disintegration of liquid sheets into ligaments and droplets involves highly transient, multi-scale dynamic
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ArXiv cs.AI 📄 Paper 1h ago
Accelerating Transformer-Based Monocular SLAM via Geometric Utility Scoring
arXiv:2604.08718v1 Announce Type: cross Abstract: Geometric Foundation Models (GFMs) have recently advanced monocular SLAM by providing robust, calibration-free
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ArXiv cs.AI 📄 Paper 1h ago
LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving
arXiv:2604.08719v1 Announce Type: cross Abstract: Recent years have seen remarkable progress in autonomous driving, yet generalization to long-tail and open-wor
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ArXiv cs.AI 📄 Paper 1h ago
Demystifying the Silence of Correctness Bugs in PyTorch Compiler
arXiv:2604.08720v1 Announce Type: cross Abstract: Performance optimization of AI infrastructure is key to the fast adoption of large language models (LLMs). The
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ArXiv cs.AI 📄 Paper 1h ago
AI Driven Soccer Analysis Using Computer Vision
arXiv:2604.08722v1 Announce Type: cross Abstract: Sport analysis is crucial for team performance since it provides actionable data that can inform coaching deci
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ArXiv cs.AI 📄 Paper 1h ago
Decomposing the Delta: What Do Models Actually Learn from Preference Pairs?
arXiv:2604.08723v1 Announce Type: cross Abstract: Preference optimization methods such as DPO and KTO are widely used for aligning language models, yet little i
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ArXiv cs.AI 📄 Paper 1h ago
LLMs Underperform Graph-Based Parsers on Supervised Relation Extraction for Complex Graphs
arXiv:2604.08752v1 Announce Type: cross Abstract: Relation extraction represents a fundamental component in the process of creating knowledge graphs, among othe
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ArXiv cs.AI 📄 Paper 1h ago
Cards Against LLMs: Benchmarking Humor Alignment in Large Language Models
arXiv:2604.08757v1 Announce Type: cross Abstract: Humor is one of the most culturally embedded and socially significant dimensions of human communication, yet i
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ArXiv cs.AI 📄 Paper 1h ago
InstrAct: Towards Action-Centric Understanding in Instructional Videos
arXiv:2604.08762v1 Announce Type: cross Abstract: Understanding instructional videos requires recognizing fine-grained actions and modeling their temporal relat
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ArXiv cs.AI 📄 Paper 1h ago
PSIRNet: Deep Learning-based Free-breathing Rapid Acquisition Late Enhancement Imaging
arXiv:2604.08781v1 Announce Type: cross Abstract: Purpose: To develop and evaluate a deep learning (DL) method for free-breathing phase-sensitive inversion reco
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ArXiv cs.AI 📄 Paper 1h ago
eBandit: Kernel-Driven Reinforcement Learning for Adaptive Video Streaming
arXiv:2604.08791v1 Announce Type: cross Abstract: User-space Adaptive Bitrate (ABR) algorithms cannot see the transport layer signals that matter most, such as
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ArXiv cs.AI 📄 Paper 1h ago
Lessons Without Borders? Evaluating Cultural Alignment of LLMs Using Multilingual Story Moral Generation
arXiv:2604.08797v1 Announce Type: cross Abstract: Stories are key to transmitting values across cultures, but their interpretation varies across linguistic and
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ArXiv cs.AI 📄 Paper 1h ago
Scrapyard AI
arXiv:2604.08803v1 Announce Type: cross Abstract: This paper considers AI model churn as an opportunity for frugal investigation of large AI models. It describe
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ArXiv cs.AI 📄 Paper 1h ago
Building Better Environments for Autonomous Cyber Defence
arXiv:2604.08805v1 Announce Type: cross Abstract: In November 2025, the authors ran a workshop on the topic of what makes a good reinforcement learning (RL) env
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ArXiv cs.AI 📄 Paper 1h ago
SenBen: Sensitive Scene Graphs for Explainable Content Moderation
arXiv:2604.08819v1 Announce Type: cross Abstract: Content moderation systems classify images as safe or unsafe but lack spatial grounding and interpretability:
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ArXiv cs.AI 📄 Paper 1h ago
HiFloat4 Format for Language Model Pre-training on Ascend NPUs
arXiv:2604.08826v1 Announce Type: cross Abstract: Large foundation models have become central to modern machine learning, with performance scaling predictably w
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ArXiv cs.AI 📄 Paper 1h ago
Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs
arXiv:2604.08846v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) have been shown to be vulnerable to malicious queries that can elicit
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ArXiv cs.AI 📄 Paper 1h ago
Scalable High-Recall Constraint-Satisfaction-Based Information Retrieval for Clinical Trials Matching
arXiv:2604.08849v1 Announce Type: cross Abstract: Clinical trials are central to evidence-based medicine, yet many struggle to meet enrollment targets, despite
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ArXiv cs.AI 📄 Paper 1h ago
AI-Induced Human Responsibility (AIHR) in AI-Human teams
arXiv:2604.08866v1 Announce Type: cross Abstract: As organizations increasingly deploy AI as a teammate rather than a standalone tool, morally consequential mis
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ArXiv cs.AI 📄 Paper 1h ago
AudioGuard: Toward Comprehensive Audio Safety Protection Across Diverse Threat Models
arXiv:2604.08867v1 Announce Type: cross Abstract: Audio has rapidly become a primary interface for foundation models, powering real-time voice assistants. Ensur
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ArXiv cs.AI 📄 Paper 1h ago
MedFormer-UR: Uncertainty-Routed Transformer for Medical Image Classification
arXiv:2604.08868v1 Announce Type: cross Abstract: To ensure safe clinical integration, deep learning models must provide more than just high accuracy; they requ
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ArXiv cs.AI 📄 Paper 1h ago
Temporal Dropout Risk in Learning Analytics: A Harmonized Survival Benchmark Across Dynamic and Early-Window Representations
arXiv:2604.08870v1 Announce Type: cross Abstract: Student dropout is a persistent concern in Learning Analytics, yet comparative studies frequently evaluate pre
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ArXiv cs.AI 📄 Paper 1h ago
A Mathematical Framework for Temporal Modeling and Counterfactual Policy Simulation of Student Dropout
arXiv:2604.08874v1 Announce Type: cross Abstract: This study proposes a temporal modeling framework with a counterfactual policy-simulation layer for student dr
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