AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchConstrained PSLQ Search for Machin-like Identities Achieving Record-Low Lehmer Measures
arXiv:2508.08307v2 Announce Type: replace-cross Abstract: Machin-like arctangent relations are classical tools for computing $\pi$, with efficiency quantified by the Lehmer measure ($\lambda$). We present a framework for…
- arXiv cs.AIresearchVisual Perception Engine: Fast and Flexible Multi-Head Inference for Robotic Vision Tasks
arXiv:2508.11584v3 Announce Type: replace-cross Abstract: Deploying multiple machine learning models on resource-constrained robotic platforms for different perception tasks often results in redundant computations, large…
- arXiv cs.AIresearchUltralytics YOLO Evolution: An Overview of YOLO27, YOLO26, YOLO11, YOLOv8, and YOLOv5 Object Detectors for Computer Vision and Pattern Recognition
arXiv:2510.09653v4 Announce Type: replace-cross Abstract: This paper presents a comprehensive overview of the Ultralytics YOLO family, emphasizing architectural evolution, benchmarking, deployment, and emerging direction…
- arXiv cs.AIresearchHuman Resilience in the AI Era -- What Machines Can't Replace
arXiv:2510.25218v2 Announce Type: replace-cross Abstract: AI is changing work and decision making faster than many institutions can adapt their operating practices. We argue that this adaptation gap makes human resilienc…
- arXiv cs.AIresearchNeuroSketch: A Practical Design Recipe for Neural Decoding
arXiv:2512.09524v2 Announce Type: replace-cross Abstract: Neural decoding is fundamental to brain-computer interfaces, with growing applications in healthcare. Previous research has focused on leveraging signal processin…
- arXiv cs.AIresearchPerformance and Complexity Trade-off Optimization of Speech Models During Training
arXiv:2601.13704v4 Announce Type: replace-cross Abstract: In speech machine learning, neural network models are typically designed by choosing an architecture with fixed layer sizes and structure. These models are then t…
- arXiv cs.AIresearchShotFinder: Imagination-Driven Open-Domain Video Shot Retrieval via Web Search
arXiv:2601.23232v4 Announce Type: replace-cross Abstract: In recent years, large language models (LLMs) have made rapid progress in information retrieval, yet existing research has mainly focused on text or static multim…
- arXiv cs.AIresearchVariational Approach for Job Shop Scheduling
arXiv:2602.00408v3 Announce Type: replace-cross Abstract: This paper proposes a novel Variational Graph-to-Scheduler (VG2S) framework for solving the Job Shop Scheduling Problem (JSSP), a critical task in manufacturing t…
- arXiv cs.AIresearchHALT: Hallucination Assessment via Log-probs as Time series
arXiv:2602.02888v2 Announce Type: replace-cross Abstract: Hallucinations remain a major obstacle for large language models (LLMs), especially in safety-critical domains. We present HALT (Hallucination Assessment via Log-…
- arXiv cs.AIresearchBypassing the Rationale: Causal Auditing of Implicit Reasoning in Language Models
arXiv:2602.03994v3 Announce Type: replace-cross Abstract: Chain-of-thought (CoT) prompting is widely used as a reasoning aid and is often treated as a transparency mechanism. Yet behavioral gains under CoT do not imply t…
- arXiv cs.AIresearchPACT-WAM: Predicting Actions and Visual Foresight with Compact Temporal Encoding for Robot Manipulation
arXiv:2602.15882v2 Announce Type: replace-cross Abstract: Robot manipulation uses temporal context to select actions and visual foresight to assess their consequences, yet dense representations of past and future observa…
- arXiv cs.AIagentsMind the Style: Impact of Communication Style on Human-Chatbot Interaction
arXiv:2602.17850v3 Announce Type: replace-cross Abstract: Conversational agents increasingly mediate everyday digital interactions, yet the effects of their communication style on user experience and task success remain…
- arXiv cs.AIresearchMINT: Multimodal Imaging-to-Speech Knowledge Transfer for Early Alzheimer's Screening
arXiv:2602.23994v2 Announce Type: replace-cross Abstract: Alzheimer's disease is a progressive neurodegenerative disorder in which mild cognitive impairment (MCI) precedes dementia. Structural MRI provides biomarkers but…
- arXiv cs.AIresearchUniversal NP-Hardness of Clustering under General Utilities
arXiv:2603.00210v2 Announce Type: replace-cross Abstract: Clustering is a central primitive in unsupervised learning, yet practice is dominated by heuristics whose outputs can be unstable and highly sensitive to represen…
- arXiv cs.AIresearchEnhancing Physics-Informed Neural Networks with Domain-aware Fourier Features: Towards Improved Performance and Interpretable Results
arXiv:2603.02948v2 Announce Type: replace-cross Abstract: Physics-Informed Neural Networks (PINNs) incorporate physics into neural networks by embedding partial differential equations (PDEs) into their loss function. Des…
- arXiv cs.AIresearchCzechTopic: A Benchmark for Zero-Shot Topic Localization in Historical Czech Documents
arXiv:2603.03884v2 Announce Type: replace-cross Abstract: Topic localization aims to identify spans of text that express a given topic defined by a name and description. To study this task, we introduce a human-annotated…
- arXiv cs.AIresearchAuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing
arXiv:2603.23069v4 Announce Type: replace-cross Abstract: The task of authorship style transfer involves rewriting text in the style of a target author while preserving the meaning of the original text. Existing style tr…
- arXiv cs.AIagentsAMIGO: Agentic Multi-Image Grounding Oracle Benchmark
arXiv:2603.28662v2 Announce Type: replace-cross Abstract: Agentic vision-language models increasingly act through extended interactions, but most evaluations still focus on single-image, single-turn correctness. We intro…
- arXiv cs.AIresearchCan We Still Trace L1 Signals? Investigating the Resilience of Native Language Signals in the LLM Era
arXiv:2604.08568v4 Announce Type: replace-cross Abstract: The widespread use of LLM-based writing assistance has raised an interesting question about the homogenization of English. As LLMs tend to revise texts toward mai…
- arXiv cs.AIresearchDeep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers
arXiv:2604.11507v2 Announce Type: replace-cross Abstract: Artificial intelligence (AI) is moving increasingly beyond prediction to support decisions in complex, uncertain, and dynamic environments. This shift creates a n…
- arXiv cs.AIresearchVISTA: Validation-Informed Trajectory Adaptation via Self-Distillation
arXiv:2604.12044v2 Announce Type: replace-cross Abstract: Deep learning models may converge to suboptimal solutions despite strong validation accuracy, masking an optimization failure we term Trajectory Deviation. This i…
- arXiv cs.AIagentsHINTBench: Horizon-agent Intrinsic Non-attack Trajectory Benchmark
arXiv:2604.13954v2 Announce Type: replace-cross Abstract: Existing agent-safety evaluation has focused mainly on externally induced risks. Yet agents may still enter unsafe trajectories under benign conditions. We study…
- arXiv cs.AIresearchSchema-Key Wording as an Instruction Channel in Structured Generation under Constrained Decoding
arXiv:2604.14862v3 Announce Type: replace-cross Abstract: Constrained decoding is widely used to make large language models produce structured outputs that satisfy schemas such as JSON. Existing work mainly treats schema…
- arXiv cs.AIresearchHow to Compress KV Cache in RL Post-Training? Shadow Mask Distillation for Memory-Efficient Alignment
arXiv:2605.06850v2 Announce Type: replace-cross Abstract: Reinforcement Learning (RL) has emerged as a crucial paradigm for unlocking the advanced reasoning capabilities of Large Language Models (LLMs), encompassing fram…
- arXiv cs.AIresearchEfficientTDMPC: Improved MPC Objectives for Sample-Efficient Continuous Control
arXiv:2605.16692v5 Announce Type: replace-cross Abstract: We introduce EfficientTDMPC, a sample-efficient model-based reinforcement learning method for continuous control built on the TD-MPC family of algorithms. Central…
- arXiv cs.AIresearchDetect Before You Leap: Mirage Detection in Vision-Language Models
arXiv:2606.00435v5 Announce Type: replace-cross Abstract: Vision-language models (VLMs) can produce confident answers without relevant visual evidence, a failure mode known as mirage (Asadi et al., 2026). We study pre-re…
- arXiv cs.AIresearchTime-Aware Diffusion based on Preference Disentanglement for Generative Recommendation
arXiv:2606.01670v3 Announce Type: replace-cross Abstract: Recently, Generative Recommenders (GRs) have emerged as a transformative recommendation paradigm by replacing traditional item IDs with semantic indices (SIDs). O…
- arXiv cs.AIagentsLibra: Efficient Resource Management for Agentic RL Post-Training
arXiv:2606.03077v3 Announce Type: replace-cross Abstract: Reinforcement learning (RL) has emerged as a standard post-training paradigm for shaping large language models (LLMs) into capable agents. In agentic RL, the roll…
- arXiv cs.AIresearchFLARE: Fine-Grained Diagnostic Feedback for LLM Code Refinement
arXiv:2606.03852v2 Announce Type: replace-cross Abstract: Large language models often generate code with bugs. Existing methods rely on feedback signals such as test failures and self-critiques to iteratively refine the…
- arXiv cs.AIresearchFrom 'May' to 'Is': Certainty Distortion in Language Model Rewriting
arXiv:2606.07951v2 Announce Type: replace-cross Abstract: Humans increasingly turn to Language Models (LMs) in ways that shape beliefs and drive decisions, including discussing, rewriting, and summarizing information fro…
- arXiv cs.AIagentsLargeMonitor: Monitoring Online Task-Free Continual Learning via Large Pretrained Models
arXiv:2606.09430v2 Announce Type: replace-cross Abstract: Online task-free continual learning (TFCL) requires intelligent agents to sequentially accumulate knowledge from an unbounded, non-stationary data stream under st…
- arXiv cs.AIresearchFollow the Latent Roadmap: Navigating Revocable Decoding for Diffusion LLMs with Anchor Tokens
arXiv:2606.16847v5 Announce Type: replace-cross Abstract: Diffusion Large Language Models (dLLMs) offer a promising avenue for parallel generation but face a trade-off between decoding speed and quality. While revocable…
- arXiv cs.AIresearchSegTME-UNI2: A Foundation Model-Based Framework for Generalisable Multiclass Cell Segmentation and LLM-Driven Tumour Microenvironment Characterisation in Histopathology
arXiv:2606.17702v3 Announce Type: replace-cross Abstract: Characterising the TME from routine H&E-stained histology images requires simultaneous cell segmentation, biological feature extraction, and interpretable clinica…
- arXiv cs.AIresearchSubjective Risk Decomposition: A New View for Uncertainty Quantification
arXiv:2607.15196v3 Announce Type: replace-cross Abstract: We present a novel viewpoint for uncertainty quantification. Uncertainty measures are not primitives, in need of axioms and argumentation, but instead consequence…
- arXiv cs.AIresearchDebiasing Text-to-Image Evaluation via Implicit Cultural Alignment Reward Modeling
arXiv:2607.15740v3 Announce Type: replace-cross Abstract: As Text-to-Image (T2I) systems rapidly advance, evaluating the cultural authenticity of synthesized content has become increasingly important for fair and trustwo…
- arXiv cs.AIagentsAgentic Real2Sim: Physics-based World Modeling with Vision-Language Agents
arXiv:2607.19190v5 Announce Type: replace-cross Abstract: Real-to-sim conversion for robotic interaction with objects remains labor-intensive because it requires more than visual reconstruction: a streamlined real2sim pr…
- arXiv cs.AIresearchRiemannian Deep Learning: Modules, Networks, and Geometries
arXiv:2607.19305v5 Announce Type: replace-cross Abstract: Deep neural networks on manifold-valued representations have attracted growing interest, but many basic components remain tied to specific manifolds, rely on Eucl…
- arXiv cs.AIresearchPost-Training in Time Series Foundation Models: A Unifying Framework
arXiv:2607.20002v3 Announce Type: replace-cross Abstract: Time series foundation models (TSFMs) have emerged as general-purpose models for time series analysis, but pretraining alone is often insufficient for reliable do…
- arXiv cs.AIresearchLatency-Tolerant Cloud-Edge Collaborative Vision-Language-Action Models via Emergent Representational Specialization
arXiv:2608.00569v3 Announce Type: replace-cross Abstract: Deploying billion-parameter Vision-Language-Action (VLA) policies on mobile robots creates a systems conflict: semantic reasoning benefits from cloud GPUs, wherea…
- arXiv cs.AIresearchRanking Infrared-Visible Fusion the Way Humans Do: A Learned Pairwise Preference Measure
arXiv:2608.01301v4 Announce Type: replace-cross Abstract: Human pairwise comparison provides a direct basis for perceptual infrared-visible image fusion assessment, but dense annotation becomes costly as method pools gro…
- arXiv cs.AIresearchDeep Divide-and-Reduce in Symbolic Regression
arXiv:2608.02628v3 Announce Type: replace-cross Abstract: Symbolic regression (SR) aims to discover underlying mathematical expressions from data while preserving interpretability. Most existing learning-based SR methods…
- arXiv cs.AIresearchExplicit Language Memory for Long-Horizon Planning in Vision-Language-Action Models
arXiv:2608.04765v3 Announce Type: replace-cross Abstract: Vision-language-action (VLA) models provide a unified paradigm for connecting visual perception, language understanding, and robotic control. However, existing VL…
- arXiv cs.AIagentsGoverning Agentic AI in FinTech
arXiv:2608.11344v3 Announce Type: replace-cross Abstract: Financial institutions are delegating consequential decisions to agentic AI systems that decompose goals, coordinate models and tools, and act with little oversig…
- arXiv cs.AIresearchUnsupervised Anomaly Detection for Image Dataset Quality Assurance in Multi-Center Breast MRI
arXiv:2608.16725v2 Announce Type: replace-cross Abstract: Corrupted, inconsistent, or anomalous data silently threatens the safety and reliability of medical AI. Despite growing regulatory recognition of dataset quality…
- arXiv cs.AIagentsSafety Does Not Compose: Non-Decaying Loop State for Autonomous LLM Agents
arXiv:2608.27141v5 Announce Type: replace-cross Abstract: Large language model agents are increasingly deployed as autonomous loops. Starting from one human goal, such a system repeatedly discovers work, plans, executes…
- arXiv cs.AIresearchPosition Matters: Feature Inversion Attacks in ViT Split Inference with Token Reduction and Shuffling
arXiv:2609.01232v3 Announce Type: replace-cross Abstract: Vision Transformers (ViTs) are increasingly used in split-inference systems, where edge devices transmit intermediate token representations to a remote cloud. In…
- arXiv cs.AIresearchNot All Agreement Counts as Corroboration: Provenance-Conserving Multi-View Fusion for Typed Action Admission in Human-Robot Collaboration
arXiv:2609.01662v2 Announce Type: replace-cross Abstract: Better probability scores do not establish that evidence has been counted correctly. Repeated inference over one observation can improve predictions without addin…
- arXiv cs.AIresearchExploring the Potential of Contrastive Language-Image Pre-training for Multi-Source Remote Sensing Data
arXiv:2609.03391v2 Announce Type: replace-cross Abstract: Contrastive language-image learning (CLIP) has become a key paradigm for remote sensing vision-language understanding. However, existing remote sensing contrastiv…
- arXiv cs.AIresearchCalendar-Structured Sparse Principal Component Analysis for Interpretable Multi-Periodic Electricity Consumption Profiles
arXiv:2609.06060v2 Announce Type: replace-cross Abstract: Long-term electricity-consumption profiles exhibit several simultaneous periodic structures, including daily, weekly, and annual cycles. This work introduces Cale…
- arXiv cs.AIresearchSteering Interference Reflects the Model's Defaults, Not the Behavior Directions
arXiv:2609.06951v3 Announce Type: replace-cross Abstract: Activation steering promises modular control of language model behavior: a behavior such as politeness corresponds to a direction in a model's activations, and ad…