AI news archive.
10,659 articles filed under Research, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchCustomizable and Jointly Optimized Route Planning: A Deep Architecture Enabling Differentiable Shortest-Path Search
arXiv:2609.19996v1 Announce Type: new Abstract: With the widespread use of online navigation and ride-hailing services, achieving optimal route planning for diverse user preferences has recently attracted increasing atte…
- arXiv cs.AIresearchE-AVI: Evidence-Grounded Multimodal Assessment for Automated Video Interviews
arXiv:2609.20001v1 Announce Type: new Abstract: Automated video interview assessment integrates verbal content, acoustic delivery, and visual behavior, yet numerical predictions alone provide limited inspectable support.…
- arXiv cs.AIresearchGeopolitical Divisions Across Languages in Large Language Models
arXiv:2609.20005v1 Announce Type: new Abstract: People increasingly turn to AI chatbots for news and explanations of world events. But do they receive the same political answers when they ask in different languages? Here…
- arXiv cs.AIresearchFedeRICo: Federated Region-Influenced Coupling for Traffic Flow Prediction
arXiv:2609.20026v1 Announce Type: new Abstract: Urban traffic forecasting often relies on information distributed across stakeholders who may be unable to share raw data due to privacy or commercial constraints, motivati…
- arXiv cs.AIresearchCan Data Attribution Filter Out Subliminal Learning? Not Reliably
arXiv:2609.20027v1 Announce Type: new Abstract: Subliminal learning allows language models to transmit behavioral traits through training data with no obvious semantic relationship to those traits, undermining content-ba…
- arXiv cs.AIresearchDART: Distillation-Aware Reparameterization for Training-Free LoRA Reuse in Few-Step Video Diffusion Models
arXiv:2609.20051v2 Announce Type: replace Abstract: Few-step distillation reduces the inference cost of image-to-video generation, but directly reusing LoRA adapters trained for long denoising trajectories can weaken the…
- arXiv cs.AIresearchMAGMA-GEN: Validated Recovery Supervision from Ambiguous Failures via Counterfactual Re-Execution
arXiv:2609.20056v1 Announce Type: new Abstract: Hierarchical robotic systems executing long-horizon manipulation tasks must make high-level semantic decisions that orchestrate stochastic low-level skills. In this setting…
- arXiv cs.AIresearchWiCleanData: Guaranteeing the Type Consistency of Wikidata by Taxonomy Refinement and Constraint Enforcement
arXiv:2609.20057v1 Announce Type: new Abstract: Because of its collaborative nature, Wikidata suffers from errors, in- consistencies, and excessive complexity, such as redundant classes, ambiguity between instances and c…
- arXiv cs.AIresearchFCA-Guided Counterfactual Explanations for Multi-Modal Breast Cancer Diagnosis: A Framework Achieving Perfect Validity with Emergent Sparsity
arXiv:2609.20067v1 Announce Type: new Abstract: Deep learning models for multi-modal breast cancer diagnosis achieve high predictive accuracy but remain clinically unacceptable without actionable, counterfactual explanat…
- arXiv cs.AIresearchMarginal utility, matrix factorization, and the Key-Value (KV) cache: a unified information-economic framework for sovereign geo-mining inference
arXiv:2609.20068v1 Announce Type: new Abstract: This paper builds a theoretical bridge between the economic notion of marginal utility and two machine-learning constructs, matrix factorization and the Key--Value cache of…
- arXiv cs.AIresearchTailored to you: longitudinal effects of personalising language models
arXiv:2609.20077v2 Announce Type: replace Abstract: Interest in developing personalised language models is rapidly growing. While personalisation is often viewed as a mechanism to better serve diverse user needs, the eff…
- arXiv cs.AIresearchSolving Minimum Span Antibandwidth and Cyclic Antibandwidth Labeling Problems
arXiv:2609.20091v1 Announce Type: new Abstract: The Antibandwidth and Cyclic Antibandwidth problems are NP-hard graph labeling problems that aim to maximize the minimum (cyclic) distance between labels assigned to adjace…
- arXiv cs.AIresearchPerception, Layout, and Validation: Calibrated Confidence for Reliable Straight-Through Processing of Financial Documents
arXiv:2609.20110v1 Announce Type: new Abstract: Straight-through processing (STP) on extracted key-value fields from financial documents without human review requires a calibrated probability together with a bounded guar…
- arXiv cs.AIresearchPaGNet: A Panel-Aware GBDT--Neural Network for Multi-Target Corporate Tax Avoidance Proxy Forecasting
arXiv:2609.20177v1 Announce Type: new Abstract: Forecasting corporate tax avoidance proxies from firm--year panel data is challenging because predictive signals are distributed across short firm histories and related tar…
- arXiv cs.AIresearchSequential Contextual Fit Predicts Human Behavioural and Neural Dynamics Across Domains
arXiv:2609.20179v1 Announce Type: new Abstract: Human perception, action and decision making unfold in sequences, but computational predictors are often domain-specific. This study computes and tests sequential contextua…
- arXiv cs.AIresearchJointMatch: A Unified Heterogeneous Graph Neural Solver for Large-Scale Ride-Sharing Matching
arXiv:2609.20200v1 Announce Type: new Abstract: Ride-sharing platforms must continuously decide which open requests to bundle into shared trips and which idle vehicles should serve them. The dominant academic approach de…
- arXiv cs.AIresearchAI-Driven Real-Time Relay Optimisation in Smart Urban NR-V2X Networks via Learning-to-Optimise Graph Neural Networks
arXiv:2609.20271v1 Announce Type: new Abstract: Reliable and low-latency communication is a fundamental requirement for smart city services and Industry 4.0 applications enabled by NR-V2X networks. However, limited Road-…
- arXiv cs.AIresearchJEPA-WAM: Connecting Generated Visual Instructions to World Action Models through JEPA Latent Representations
arXiv:2609.20277v1 Announce Type: new Abstract: World Action Models (WAMs) have demonstrated strong robotic manipulation capabilities by augmenting pretrained video generative models with action experts. However, current…
- arXiv cs.AIresearchDiagnose, Recover, Certify: Task Readiness under Hidden Dynamics Changes
arXiv:2609.20304v1 Announce Type: new Abstract: A deployed control policy can conceal consequential dynamics changes: an actuator may lose effectiveness without affecting the current task when the policy rarely excites i…
- arXiv cs.AIresearchNeuSOGA3D: A Neuro-Symbolic Framework for Explainable 3D Geometric Reconstruction
arXiv:2609.20323v2 Announce Type: replace Abstract: Three-dimensional reconstruction from unorganized point clouds remains a challenging problem in computer vision, geometric modeling, and computer-aided design. While ne…
- arXiv cs.AIresearchStructured Four-Stage Legal Translation: From Natural-Language Traffic Rules to PROLOG
arXiv:2609.20334v1 Announce Type: new Abstract: Traffic regulations are written for human interpretation and therefore rely on shared background knowledge and flexible phrasing, which inherently introduce ambiguity, cont…
- arXiv cs.AIresearchA Qualitative Model for Reasoning about Path and Support
arXiv:2609.20349v1 Announce Type: new Abstract: Spatial reasoning abilities correlate strongly with performance in STEM fields. Games offer a compelling medium for training these critical skills in developing children wh…
- arXiv cs.AIresearchGenerating Heterogeneous 3D Geological Microstructures from 2D Images via a Stable Diffusion-Adversarial Model
arXiv:2609.20358v1 Announce Type: new Abstract: Characterizing the physical properties of clay and cementitious materials matters across many fields, from materials science to geological waste disposal. Property simulati…
- arXiv cs.AIresearchGraphSkillAA: Attribution-Guided Skill-Graph Updating with Targeted Validation and Rollback
arXiv:2609.20455v2 Announce Type: replace Abstract: External skills provide domain knowledge and procedures without updating model parameters, but flat collections obscure skill applicability, dependencies, and compositi…
- arXiv cs.AIresearchFreqCondNorm: Towards Cross-domain Predictive Maintenance through a Frequency-Conditioned Transformer Foundation Model
arXiv:2609.20535v1 Announce Type: new Abstract: Deep learning predictive maintenance models suffer from poor transferability across machines and operating conditions, especially when labelled data are scarce and signals…
- arXiv cs.AIresearchRefuse, Decompose, Refresh: A Claim-Safe Protocol for Closed-Loop AI Evaluation
arXiv:2609.20538v1 Announce Type: new Abstract: An AI evaluation can be perfectly reproducible and still support the wrong claim. This risk is acute in closed-loop systems: policy determines visited states, observable co…
- arXiv cs.AIresearchLanguage-model groups overstate consensus when replaying human deliberation on a reasoning task
arXiv:2609.20543v1 Announce Type: new Abstract: Full-consensus rates are often treated as indicators of collective cognition, yet depend on how participation and final states are operationalized. We replayed 100 held-out…
- arXiv cs.AIresearchLimits of Confidence in Diffusion
arXiv:2609.20581v2 Announce Type: replace Abstract: Discrete diffusion, including remasking and uniform-state samplers, generate a sequence by writing multiple token positions per step, drawing each from a per-position d…
- arXiv cs.AIresearchPAA: The Probabilistic Allen Algebra: A Generative and Complete Probabilistic Extension of Allen's Interval Relations
arXiv:2609.20634v1 Announce Type: new Abstract: Allen's interval algebra is a qualitative calculus for temporal relations, but its thirteen base relations are crisp predicates over exact interval boundaries. This is inad…
- arXiv cs.AIresearchOwnership in AI-Assisted Everyday Tasks
arXiv:2609.20658v1 Announce Type: new Abstract: When does work done with AI still feel like ours? As AI becomes woven into everyday tasks, we must examine what happens to our sense of ownership and contribution when a ma…
- arXiv cs.AIresearchQ&A on Any Spreadsheet Requires Interpreting Its Grid Structure
arXiv:2609.20732v1 Announce Type: new Abstract: Semantic cell annotation improves chunking interpretability for spreadsheets in LLM-driven RAG systems, aiding answer generation through enriched context rather than improv…
- arXiv cs.AIresearchOptimal Transport Metric Learning for Feature Alignment in Partially Supervised Segmentation
arXiv:2609.19176v1 Announce Type: cross Abstract: Multi-organ segmentation is often challenged by partially annotated datasets and domain shifts across different imaging sources. To address these limitations, we propose…
- arXiv cs.AIresearchCode-as-Auditor: Executable Compliance Reasoning via Regulation-to-Code
arXiv:2609.19199v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly adopted for compliance and legal reasoning tasks, yet their outputs often lack explicit grounding in legal logic and evidenc…
- arXiv cs.AIresearchREACT: A Fully Spiking State-Space Model for Real-Time Event-Driven Temporal Perception
arXiv:2609.19204v1 Announce Type: cross Abstract: Robotic systems operating in dynamic environments require visual perception that evolves continuously with the incoming sensory stream. Event cameras provide microsecond…
- arXiv cs.AIresearchMeshKV: A Network-on-Chip KV Cache Fabric for Scalable Transformer Decoding Accelerators
arXiv:2609.19207v1 Announce Type: cross Abstract: Autoregressive transformer decoding is constrained by irregular key-value (KV) cache movement on tiled accelerators. Prior compression and DRAM-placement systems still co…
- arXiv cs.AIresearchNot All Nodes Are Created Equal: Homophily-Aware Stratification for Stable GNN Evaluation
arXiv:2609.19210v1 Announce Type: cross Abstract: Graph neural networks are widely used for transductive node classification, with accuracy typically measured on randomly drawn train/validation/test splits. Reported accu…
- arXiv cs.AIresearchLayer-wise Curriculum Learning for Efficient LLM Compression
arXiv:2609.19213v1 Announce Type: cross Abstract: In this paper, we introduce layer-wise curriculum learning for efficient LLM compression. The proposed method facilitates the knowledge transfer from the teacher model to…
- arXiv cs.AIresearchPerceptual Refinement of an End-to-End Video Streaming Pipeline via Generative AI Layers
arXiv:2609.19215v1 Announce Type: cross Abstract: Traditional codecs treat every region of a frame alike; a generative layer can instead degrade the regions a viewer attends to least and reconstruct them at the client. W…
- arXiv cs.AIresearchYNU-HPCC at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Using Multiple Prediction Headers
arXiv:2609.19238v1 Announce Type: cross Abstract: This paper describes the participation of the YNU-HPCC team in subtask A of task 11, Bridging the Gap in Text-Based Emotion at SemEval-2025. Our best-performing system em…
- arXiv cs.AIresearchRobust Conformal Intrusion Detection via Traffic-Aware Calibration and Attack-Orbit Invariance
arXiv:2609.19241v1 Announce Type: cross Abstract: Large language models fine-tuned for network intrusion detection emit single-point predictions without statistical validity guarantees. Conformal prediction supplies a fi…
- arXiv cs.AIresearchRandomized SVD Approximations for Spectral Co-Clustering of Word-Document Matrices
arXiv:2609.19243v1 Announce Type: cross Abstract: Spectral co-clustering is a useful tool for discovering latent structure in word-document matrices, but its reliance on singular value decomposition (SVD) can make standa…
- arXiv cs.AIresearchPhysics-Informed Hemodynamic Modeling for Data-Free Prediction and Sparse-Data Assimilation
arXiv:2609.19290v1 Announce Type: cross Abstract: Clinical decision-making for coronary intervention relies mainly on angiography and fractional flow reserve (FFR). However, angiography is two-dimensional and lacks depth…
- arXiv cs.AIresearchWhy Pretraining Fails to Share Cross-Lingual Knowledge
arXiv:2609.19291v1 Announce Type: cross Abstract: Large Language Models (LLMs) have made remarkable progress in the processing and modeling of many languages. Yet, unlike human multilinguals, they exhibit surprisingly li…
- arXiv cs.AIresearchGAVEL: Graph World Models for Verified and Efficient Long-Horizon LLM Task Planning
arXiv:2609.19315v1 Announce Type: cross Abstract: Large language models (LLMs) provide a flexible interface for long-horizon robot planning, but generated plans often fail to respect embodiment constraints, recover from…
- arXiv cs.AIresearchAUDITPLAN: Commit, Then Answer for Auditable Safety Alignment
arXiv:2609.19325v1 Announce Type: cross Abstract: Safety tuning pipelines judge only the final answer, which makes it difficult to distinguish robust refusal from two undesirable shortcuts: blanket refusal on benign requ…
- arXiv cs.AIresearchCan Vision-Language Models Judge Olympic Diving? From Reasoning to Scores in Zero-Shot Action Quality Assessment
arXiv:2609.19354v1 Announce Type: cross Abstract: Automated action quality assessment (AQA) in Olympic sports remains a challenging task due to the complexity of human motion and the subjectivity inherent in expert judgi…
- arXiv cs.AIresearchHow to Guide Your Language Flow
arXiv:2609.19356v1 Announce Type: cross Abstract: We introduce a new method to guide flow matching models. Our approach, which we call probe guidance, uses the frozen internal states of an existing diffusion model to con…
- arXiv cs.AIresearchLinePilot Digitizer: Line-Plot Recovery with Manual and Automatic Calibration
arXiv:2609.19377v1 Announce Type: cross Abstract: Recovering numerical series from line plots requires accurate axis calibration and reliable curve extraction. We present LinePilot Digitizer (LinePilot), which combines c…
- arXiv cs.AIresearchRiemannian--Lorentz Fusion of Vision Transformers and State-Space Models
arXiv:2609.19384v1 Announce Type: cross Abstract: Scaling deep learning faces critical bottlenecks: data exhaustion, exponential training costs, and resource concentration. Model merging combines pre-trained checkpoints…
- arXiv cs.AIresearchEfficient Nash Equilibrium Computation for Cybersecurity Games
arXiv:2609.19399v2 Announce Type: replace-cross Abstract: Game-theoretic analyses of cyber defence often compute equilibria of games whose payoffs exist only as the output of a simulator. Iterative equilibrium-finding me…