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All ⚡ AI Lessons (8687) ArXiv cs.AIForbes InnovationOpenAI NewsDev.to AIHugging Face BlogHackernoon
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago
SARE: Sample-wise Adaptive Reasoning for Training-free Fine-grained Visual Recognition
arXiv:2603.17729v2 Announce Type: replace-cross Abstract: Recent advances in Large Vision-Language Models (LVLMs) have enabled training-free Fine-Grained Visual
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago
EVA: Aligning Video World Models with Executable Robot Actions via Inverse Dynamics Rewards
arXiv:2603.17808v2 Announce Type: replace-cross Abstract: Video generative models are increasingly used as world models for robotics, where a model generates a
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago
Elastic Weight Consolidation Done Right for Continual Learning
arXiv:2603.18596v2 Announce Type: replace-cross Abstract: Weight regularization methods in continual learning (CL) alleviate catastrophic forgetting by assessin
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 2w ago
myMNIST: Benchmark of PETNN, KAN, and Classical Deep Learning Models for Burmese Handwritten Digit Recognition
arXiv:2603.18597v2 Announce Type: replace-cross Abstract: We present the first systematic benchmark on a standardized iteration of the publicly available Burmes
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago
Mi:dm K 2.5 Pro
arXiv:2603.18788v2 Announce Type: replace-cross Abstract: The evolving LLM landscape requires capabilities beyond simple text generation, prioritizing multi-ste
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago
Children's Intelligence Tests Pose Challenges for MLLMs? KidGym: A 2D Grid-Based Reasoning Benchmark for MLLMs
arXiv:2603.20209v2 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs) combine the linguistic strengths of LLMs with the ability to
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago
CRoCoDiL: Continuous and Robust Conditioned Diffusion for Language
arXiv:2603.20210v2 Announce Type: replace-cross Abstract: Masked Diffusion Models (MDMs) provide an efficient non-causal alternative to autoregressive generatio
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 2w ago
Voice Privacy from an Attribute-based Perspective
arXiv:2603.20301v2 Announce Type: replace-cross Abstract: Voice privacy approaches that preserve the anonymity of speakers modify speech in an attempt to break
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago
An Industrial-Scale Retrieval-Augmented Generation Framework for Requirements Engineering: Empirical Evaluation with Automotive Manufacturing Data
arXiv:2603.20534v2 Announce Type: replace-cross Abstract: Requirements engineering in Industry 4.0 faces critical challenges with heterogeneous, unstructured do
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago
MKA: Memory-Keyed Attention for Efficient Long-Context Reasoning
arXiv:2603.20586v2 Announce Type: replace-cross Abstract: As long-context language modeling becomes increasingly important, the cost of maintaining and attendin
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2w ago
LPNSR: Prior-Enhanced Diffusion Image Super-Resolution via LR-Guided Noise Prediction
arXiv:2603.21045v2 Announce Type: replace-cross Abstract: Diffusion-based image super-resolution (SR), which aims to reconstruct high-resolution (HR) images fro
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 2w ago
TRACE: A Multi-Agent System for Autonomous Physical Reasoning in Seismological
arXiv:2603.21152v2 Announce Type: replace-cross Abstract: Inferring the physical mechanisms that govern earthquake sequences from indirect geophysical observati
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago
When Models Judge Themselves: Unsupervised Self-Evolution for Multimodal Reasoning
arXiv:2603.21289v2 Announce Type: replace-cross Abstract: Recent progress in multimodal large language models has led to strong performance on reasoning tasks,
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago
DeepXplain: XAI-Guided Autonomous Defense Against Multi-Stage APT Campaigns
arXiv:2603.21296v2 Announce Type: replace-cross Abstract: Advanced Persistent Threats (APTs) are stealthy, multi-stage attacks that require adaptive and timely
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago
LLM-Powered Workflow Optimization for Multidisciplinary Software Development: An Automotive Industry Case Study
arXiv:2603.21439v2 Announce Type: replace-cross Abstract: Multidisciplinary Software Development (MSD) requires domain experts and developers to collaborate acr
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago
mSFT: Addressing Dataset Mixtures Overfitting Heterogeneously in Multi-task SFT
arXiv:2603.21606v2 Announce Type: replace-cross Abstract: Current language model training commonly applies multi-task Supervised Fine-Tuning (SFT) using a homog
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 2w ago
BadminSense: Enabling Fine-Grained Badminton Stroke Evaluation on a Single Smartwatch
arXiv:2603.21825v2 Announce Type: replace-cross Abstract: Evaluating badminton performance often requires expert coaching, which is rarely accessible for amateu
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago
Uncertainty-guided Compositional Alignment with Part-to-Whole Semantic Representativeness in Hyperbolic Vision-Language Models
arXiv:2603.22042v2 Announce Type: replace-cross Abstract: While Vision-Language Models (VLMs) have achieved remarkable performance, their Euclidean embeddings r
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2w ago
Beyond Matching to Tiles: Bridging Unaligned Aerial and Satellite Views for Vision-Only UAV Navigation
arXiv:2603.22153v2 Announce Type: replace-cross Abstract: Recent advances in cross-view geo-localization (CVGL) methods have shown strong potential for supporti
ZDNet ⚡ AI Lesson 2w ago
I built an app for work in 5 minutes with Tasklet - and watched my no-code dreams come true
In my 30 years covering technology, I have never been so impressed. Here's why this agentic AI authoring and deployment tool changes everything.