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All ⚡ AI Lessons (12148) ArXiv cs.AIDev.to · FORUM WEBDev.to AIForbes InnovationOpenAI NewsHugging Face Blog
ArXiv cs.AI 📄 Paper 5h ago
AgentForge: Execution-Grounded Multi-Agent LLM Framework for Autonomous Software Engineering
arXiv:2604.13120v1 Announce Type: cross Abstract: Large language models generate plausible code but cannot verify correctness. Existing multi-agent systems simu
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ArXiv cs.AI 📄 Paper 5h ago
Spectral Entropy Collapse as an Empirical Signature of Delayed Generalisation in Grokking
arXiv:2604.13123v1 Announce Type: cross Abstract: Grokking -- delayed generalisation long after memorisation -- lacks a predictive mechanistic explanation. We i
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ArXiv cs.AI 📄 Paper 5h ago
Graph Propagated Projection Unlearning: A Unified Framework for Vision and Audio Discriminative Models
arXiv:2604.13127v1 Announce Type: cross Abstract: The need to selectively and efficiently erase learned information from deep neural networks is becoming increa
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ArXiv cs.AI 📄 Paper 5h ago
Pareto-Optimal Offline Reinforcement Learning via Smooth Tchebysheff Scalarization
arXiv:2604.13175v1 Announce Type: cross Abstract: Large language models can be aligned with human preferences through offline reinforcement learning (RL) on sma
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ArXiv cs.AI 📄 Paper 5h ago
InfiniteScienceGym: An Unbounded, Procedurally-Generated Benchmark for Scientific Analysis
arXiv:2604.13201v1 Announce Type: cross Abstract: Large language models are emerging as scientific assistants, but evaluating their ability to reason from empir
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ArXiv cs.AI 📄 Paper 5h ago
Inclusive Kitchen Design for Older Adults: Generative AI Visualizations to Support Mild Cognitive Impairment
arXiv:2604.13203v1 Announce Type: cross Abstract: Mild Cognitive Impairment (MCI) affects 15-20% of adults aged 65 and older, often making kitchen navigation an
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ArXiv cs.AI 📄 Paper 5h ago
Multitasking Embedding for Embryo Blastocyst Grading Prediction (MEmEBG)
arXiv:2604.13217v1 Announce Type: cross Abstract: Reliable evaluation of blastocyst quality is critical for the success of in vitro fertilization (IVF) treatmen
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ArXiv cs.AI 📄 Paper 5h ago
Identifiability of Potentially Degenerate Gaussian Mixture Models With Piecewise Affine Mixing
arXiv:2604.13218v1 Announce Type: cross Abstract: Causal representation learning (CRL) aims to identify the underlying latent variables from high-dimensional ob
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ArXiv cs.AI 📄 Paper 5h ago
KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs
arXiv:2604.13226v1 Announce Type: cross Abstract: Large Language Models (LLMs) rely heavily on Key-Value (KV) caching to minimize inference latency. However, st
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ArXiv cs.AI 📄 Paper 5h ago
SemiFA: An Agentic Multi-Modal Framework for Autonomous Semiconductor Failure Analysis Report Generation
arXiv:2604.13236v1 Announce Type: cross Abstract: Semiconductor failure analysis (FA) requires engineers to examine inspection images, correlate equipment telem
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ArXiv cs.AI 📄 Paper 5h ago
On the Creativity of AI Agents
arXiv:2604.13242v1 Announce Type: cross Abstract: Large language models (LLMs), particularly when integrated into agentic systems, have demonstrated human- and
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ArXiv cs.AI 📄 Paper 5h ago
Lazy or Efficient? Towards Accessible Eye-Tracking Event Detection Using LLMs
arXiv:2604.13243v1 Announce Type: cross Abstract: Gaze event detection is fundamental to vision science, human-computer interaction, and applied analytics. Howe
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ArXiv cs.AI 📄 Paper 5h ago
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview
arXiv:2604.13244v1 Announce Type: cross Abstract: The 4th Workshop on Maritime Computer Vision (MaCVi) is organized as part of CVPR 2026. This edition features
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ArXiv cs.AI 📄 Paper 5h ago
GeoVision-Enabled Digital Twin for Hybrid Autonomous-Teleoperated Medical Responses
arXiv:2604.13248v1 Announce Type: cross Abstract: Remote medical response systems are increasingly being deployed to support emergency care in disaster-affected
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ArXiv cs.AI 📄 Paper 5h ago
Out of Context: Reliability in Multimodal Anomaly Detection Requires Contextual Inference
arXiv:2604.13252v1 Announce Type: cross Abstract: Anomaly detection aims to identify observations that deviate from expected behavior. Because anomalous events
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ArXiv cs.AI 📄 Paper 5h ago
Hessian-Enhanced Token Attribution (HETA): Interpreting Autoregressive LLMs
arXiv:2604.13258v1 Announce Type: cross Abstract: Attribution methods seek to explain language model predictions by quantifying the contribution of input tokens
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ArXiv cs.AI 📄 Paper 5h ago
Rethinking Uncertainty in Segmentation: From Estimation to Decision
arXiv:2604.13262v1 Announce Type: cross Abstract: In medical image segmentation, uncertainty estimates are often reported but rarely used to guide decisions. We
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ArXiv cs.AI 📄 Paper 5h ago
Explainable Fall Detection for Elderly Care via Temporally Stable SHAP in Skeleton-Based Human Activity Recognition
arXiv:2604.13279v1 Announce Type: cross Abstract: Fall detection in elderly care requires not only accurate classification but also reliable explanations that c
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ArXiv cs.AI 📄 Paper 5h ago
L2D-Clinical: Learning to Defer for Adaptive Model Selection in Clinical Text Classification
arXiv:2604.13285v1 Announce Type: cross Abstract: Clinical text classification requires choosing between specialized fine-tuned models (BERT variants) and gener
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ArXiv cs.AI 📄 Paper 5h ago
English is Not All You Need: Systematically Exploring the Role of Multilinguality in LLM Post-Training
arXiv:2604.13286v1 Announce Type: cross Abstract: Despite the widespread multilingual deployment of large language models, post-training pipelines remain predom
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ArXiv cs.AI 📄 Paper 5h ago
Giving Voice to the Constitution: Low-Resource Text-to-Speech for Quechua and Spanish Using a Bilingual Legal Corpus
arXiv:2604.13288v1 Announce Type: cross Abstract: We present a unified pipeline for synthesizing high-quality Quechua and Spanish speech for the Peruvian Consti
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ArXiv cs.AI 📄 Paper 5h ago
Can Cross-Layer Transcoders Replace Vision Transformer Activations? An Interpretable Perspective on Vision
arXiv:2604.13304v1 Announce Type: cross Abstract: Understanding the internal activations of Vision Transformers (ViTs) is critical for building interpretable an
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ArXiv cs.AI 📄 Paper 5h ago
Beyond Uniform Sampling: Synergistic Active Learning and Input Denoising for Robust Neural Operators
arXiv:2604.13316v1 Announce Type: cross Abstract: Neural operators have emerged as fast surrogate models for physics simulations, yet they remain acutely vulner
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ArXiv cs.AI 📄 Paper 5h ago
Finetuning-Free Diffusion Model with Adaptive Constraint Guidance for Inorganic Crystal Structure Generation
arXiv:2604.13354v1 Announce Type: cross Abstract: The discovery of inorganic crystal structures with targeted properties is a significant challenge in materials
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