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All ⚡ AI Lessons (21843) ArXiv cs.AIDev.to AIMedium · AIMedium · ProgrammingForbes InnovationMedium · Machine Learning
ArXiv cs.AI 📄 Paper 5d ago
Soft-TransFormers for Continual Learning
arXiv:2411.16073v3 Announce Type: replace-cross Abstract: Inspired by the \emph{Well-initialized Lottery Ticket Hypothesis (WLTH)}, we introduce Soft-Transforme
ArXiv cs.AI 📄 Paper 5d ago
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective
arXiv:2412.00167v2 Announce Type: replace-cross Abstract: In recent years, origin-destination (OD) demand prediction has gained significant attention for its pr
ArXiv cs.AI 📄 Paper 5d ago
Multimodal Contextualized Support for Enhancing Video Retrieval System
arXiv:2412.07584v2 Announce Type: replace-cross Abstract: Current video retrieval systems, especially those used in competitions, primarily focus on querying in
ArXiv cs.AI 📄 Paper 5d ago
Novel 3D Binary Indexed Tree for Volume Computation of 3D Reconstructed Models from Volumetric Data
arXiv:2412.10441v2 Announce Type: replace-cross Abstract: In the burgeoning field of medical imaging, precise computation of 3D volume holds a significant impor
ArXiv cs.AI 📄 Paper 5d ago
Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators
arXiv:2503.06778v3 Announce Type: replace-cross Abstract: Event annotation is important for identifying market changes, monitoring breaking news, and understand
ArXiv cs.AI 📄 Paper 5d ago
Representation Paradigms in AI-based 3D Radiological Image Reconstruction: A Systematic Review
arXiv:2504.11349v3 Announce Type: replace-cross Abstract: The demand for high-quality medical imaging in clinical practice and assisted diagnosis has made 3D im
ArXiv cs.AI 📄 Paper 5d ago
A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards
arXiv:2505.13766v5 Announce Type: replace-cross Abstract: Software Quality Assurance (SQA) is critical for delivering reliable, secure, and efficient software p
ArXiv cs.AI 📄 Paper 5d ago
Fast Geometric Embedding for Node Influence Maximization
arXiv:2506.07435v3 Announce Type: replace-cross Abstract: Computing classical centrality measures such as betweenness and closeness is computationally expensive
ArXiv cs.AI 📄 Paper 5d ago
Iterative Quantum Feature Maps
arXiv:2506.19461v4 Announce Type: replace-cross Abstract: Quantum machine learning models that leverage quantum circuits as quantum feature maps (QFMs) are reco
ArXiv cs.AI 📄 Paper 5d ago
From Ambiguity to Accuracy: The Transformative Effect of Coreference Resolution on Retrieval-Augmented Generation systems
arXiv:2507.07847v3 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) has emerged as a crucial framework in natural language processing
ArXiv cs.AI 📄 Paper 5d ago
Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility
arXiv:2507.12553v3 Announce Type: replace-cross Abstract: Language models (LMs) are used for a diverse range of tasks, from question answering to writing fantas
ArXiv cs.AI 📄 Paper 5d ago
Curriculum-guided multimodal representation learning enables generalizable prediction of nanomaterial-protein interactions
arXiv:2507.14245v2 Announce Type: replace-cross Abstract: Nanomaterial-protein interactions (NPI) are pivotal to realizing the therapeutic and diagnostic potent
ArXiv cs.AI 📄 Paper 5d ago
Is Large Language Model Performance on Reasoning Tasks Impacted by Different Ways Questions Are Asked?
arXiv:2507.15707v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have been evaluated using diverse question types, e.g., multiple-choice,
ArXiv cs.AI 📄 Paper 5d ago
Less Is More: Fast and Accurate Reasoning with Cross-Head Unified Sparse Attention
arXiv:2508.07101v2 Announce Type: replace-cross Abstract: Large reasoning models achieve strong performance through test-time scaling, but this incurs substanti
ArXiv cs.AI 📄 Paper 5d ago
Named Entity Recognition of Historical Texts via Large Language Model
arXiv:2508.18090v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have demonstrated remarkable versatility across a wide range of natural l
ArXiv cs.AI 📄 Paper 5d ago
Principled Detection of Hallucinations in Large Language Models via Multiple Testing
arXiv:2508.18473v3 Announce Type: replace-cross Abstract: While Large Language Models (LLMs) have emerged as powerful foundational models to solve a variety of
ArXiv cs.AI 📄 Paper 5d ago
Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition
arXiv:2509.08470v2 Announce Type: replace-cross Abstract: Speech emotion recognition (SER) plays a critical role in building emotion-aware speech systems, but i
ArXiv cs.AI 📄 Paper 5d ago
Beyond I'm Sorry, I Can't: Dissecting Large Language Model Refusal
arXiv:2509.09708v3 Announce Type: replace-cross Abstract: Refusal on harmful prompts is a key safety behaviour in instruction-tuned large language models (LLMs)
ArXiv cs.AI 📄 Paper 5d ago
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs
arXiv:2510.07499v2 Announce Type: replace-cross Abstract: Recent Long-Context Language Models (LCLMs) can process hundreds of thousands of tokens in a single pr
ArXiv cs.AI 📄 Paper 5d ago
Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective
arXiv:2510.10150v4 Announce Type: replace-cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) serves as a cornerstone technique for enhancing