AI news archive.
10,659 articles filed under Research, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchCertifying Distributionally Robust Decisions from Projection Observations
arXiv:2610.34493v1 Announce Type: cross Abstract: A scalar measurement can determine a robust decision without identifying the latent covariance or every decision risk. We study finite Gaussian projection experiments wit…
- arXiv cs.AIresearchMultimodal Requirements Traceability Link Recovery in Industrial Settings
arXiv:2610.34503v1 Announce Type: cross Abstract: Requirements traceability links support activities such as change-impact analysis, coverage checking, and validation. Industrial requirements can include traceable images…
- arXiv cs.AIresearchTRIAGE: Efficient Vision-Language-Action Inference Needs Both Reuse and Pruning
arXiv:2610.34519v1 Announce Type: cross Abstract: Vision-language-action (VLA) models are increasingly used for robot manipulation because they map camera images and a language instruction directly to actions. Robots tha…
- arXiv cs.AIresearchConviction Without Evidence: Verdict Stability Is Independent of Visual Grounding in Medical Vision--Language Models
arXiv:2610.34520v1 Announce Type: cross Abstract: Vision--language models applied to medical question answering can reach correct diagnoses without using the diagnostic image, inferring instead from the clinical vignette…
- arXiv cs.AIresearchAcute Stroke Classification Using Asymmetric Data Standardization and Orthogonal-Focal Loss Optimized CNN-ViT Cross-Attention Fusion: A Multicenter External Validation Study
arXiv:2610.34529v1 Announce Type: cross Abstract: Background/Objectives: Rapid differentiation of ischemic and hemorrhagic stroke subtypes is vital for acute management. Although current deep learning models achieve high…
- arXiv cs.AIresearchGRASP: Group-Adaptive Hybrid RL-SFT Post-Training for Medical VQA without Reasoning Annotations
arXiv:2610.34561v1 Announce Type: cross Abstract: Adapting general-purpose vision-language models (VLMs) to medical visual question answering (VQA) is valuable for helping clinicians read images and make diagnoses, but a…
- arXiv cs.AIresearchRecursive CLIP: Vision-Language Distillation with Looped Transformer Blocks
arXiv:2610.34563v1 Announce Type: cross Abstract: Contrastive vision-language models such as CLIP typically rely on independently parameterized transformer blocks across depth. We investigate the extent to which these bl…
- arXiv cs.AIresearchLarge Language Models: A Plain-Language Overview for Engineers
arXiv:2610.34585v1 Announce Type: cross Abstract: Large language models (LLMs) are neural networks trained on huge text collections to generate text by predicting what comes next. Engineers using ChatGPT and other genera…
- arXiv cs.AIresearchHARP-LoRA: Hierarchy-Conditioned Rank Projection for Low-Rank Adaptation in Scientific Table Understanding
arXiv:2610.34589v1 Announce Type: cross Abstract: Tabular data is widely used in scientific applications, where complex layouts, including multi-level headers, merged cells, captions, and footnotes, make information extr…
- arXiv cs.AIresearchAudio-R1: Audio Reasoning through Reinforcement Learning on Self-Supervised Tasks
arXiv:2610.34609v1 Announce Type: cross Abstract: Reasoning is increasingly important for large audio-language models (LALMs), yet remains relatively underexplored compared with text-only and vision-language models. We i…
- arXiv cs.AIresearchEntity Matching using Decision Models
arXiv:2610.34626v1 Announce Type: cross Abstract: Entity matching is the task of deciding whether two records describe the same real-world entity. Current entity matching methods rely on pre-trained language models (PLMs…
- arXiv cs.AIresearchRIDE-Splat: Reflection Removal for In-the-Wild Driving Environments
arXiv:2610.34632v1 Announce Type: cross Abstract: Driving video captured through a windshield violates the world-space consistency assumed by 3D Gaussian Splatting (3DGS): the road scene exhibits parallax while cabin ref…
- arXiv cs.AIresearchVideo World Models Need Predictable Latents
arXiv:2610.34663v1 Announce Type: cross Abstract: Video world models trained on large-scale robot data promise a safe and scalable approach for learning and evaluating policies that act in the physical world. However, th…
- arXiv cs.AIresearchBenchmarking Obstacle-Conditioned Safety in Household Robot Navigation
arXiv:2610.34674v1 Announce Type: cross Abstract: Safe household navigation requires robots to regulate clearance and speed according to what an obstacle is and how close it is, without unnecessary conservatism. Yet exis…
- arXiv cs.AIresearchKnowing When the Evidence Is Enough: Requirement-Directed Search with Horn-Closure Certificates
arXiv:2610.34684v1 Announce Type: cross Abstract: After each Web search, a search-augmented model must decide whether its evidence suffices: answer, search again, or abstain. Prevailing systems leave this to holistic mod…
- arXiv cs.AIresearchFrom Speech Tokens to Stolen Voices: Attacker-Chosen-Text Speaker Impersonation via Representation Inversion
arXiv:2610.34688v1 Announce Type: cross Abstract: Speech interaction systems have gradually evolved from traditional cascaded systems that use text as intermediate information to end-to-end speech language models that di…
- arXiv cs.AIresearchGangqinpu: A Multi-Genre, Multi-Task Piano Dataset with Aligned Audio, MIDI, and Musical Scores
arXiv:2610.34694v1 Announce Type: cross Abstract: Aligned audio, performance MIDI, and musical scores provide valuable supervision for music analysis and performance modeling, yet datasets that jointly align all three mo…
- arXiv cs.AIresearchVLA-HWBench: Where the Time Goes When VLA Models Run on Edge Hardware
arXiv:2610.34717v2 Announce Type: replace-cross Abstract: Vision-language-action (VLA) models increasingly run on edge devices aboard robots, where inference latency constrains closed-loop robot control. However, it rema…
- arXiv cs.AIresearchDynEdit: Dynamic Entropy-Guided Sequential Editing for Large Language Models
arXiv:2610.34768v1 Announce Type: cross Abstract: Knowledge editing aims to update outdated or incorrect knowledge in large language models without full retraining. Existing parameter-editing methods remain limited for l…
- arXiv cs.AIresearchThe Impact of Personalized AI Response Suggestions on Content Creators' Direct Messaging
arXiv:2610.34770v1 Announce Type: cross Abstract: Direct messaging is often employed by social media content creators to directly interact with followers. Those creators attempt to engage with followers in private commun…
- arXiv cs.AIresearchToDoPro: Faster and Better Reference-Based Generation: Early Token Reduction via Downsampled Self-Probing
arXiv:2610.34782v1 Announce Type: cross Abstract: Recent generic reference-based image generation models natively support multiple conditions by concatenating all reference image and text tokens into a joint sequence pro…
- arXiv cs.AIresearchPrecedence-Aware Resource Allocation: Extending the AUTOC Framework to Multi-Level Treatments
arXiv:2610.34812v1 Announce Type: cross Abstract: Many real-world decision problems require allocating limited resources across individuals to maximize total benefit often through interventions that vary in intensity rat…
- arXiv cs.AIresearchSPARTA: A Sparse Ternary LLM Accelerator with Adaptive Attention and Unified Datapath for Long-Context Edge Inference
arXiv:2610.34824v1 Announce Type: cross Abstract: LLMs on edge devices are constrained by limited memory and bandwidth. Although 1.58-bit ternary weights greatly reduce model storage, long-context inference is increasing…
- arXiv cs.AIresearchStreaming Recurrent Memory
arXiv:2610.34833v1 Announce Type: cross Abstract: Natural intelligence learns from a continuous stream of sensorimotor experience: data can arrive at high bandwidth, and behavior adapts to feedback as soon as it arrives,…
- arXiv cs.AIresearchRecovering Black-Box Point Cloud Models from Pose Shifts via Derivative-Free Optimization
arXiv:2610.34850v1 Announce Type: cross Abstract: Point cloud models are increasingly deployed through score-only black-box interfaces. Under this access model, test-time rotations outside the training distribution can s…
- arXiv cs.AIresearchCoDeRNet: Selective Cross-Task Routing under Heterogeneous Supervision for Change Detection and Captioning
arXiv:2610.34876v1 Announce Type: cross Abstract: Change Detection & Captioning (CDC) aims to jointly localize changed regions and describe their semantic content from bi-temporal remote sensing images. While recent appr…
- arXiv cs.AIresearchLE-GDA: Layer Ensemble Gaussian Discriminant Analysis for Training-Free Few-Shot CLIP Adaptation
arXiv:2610.34901v1 Announce Type: cross Abstract: Training-free few-shot adaptation of vision-language models typically constructs a classifier from CLIP's final projected image representation, leaving intermediate repre…
- arXiv cs.AIresearchWaypoint: Analytically Modeling GEMM for CPUs
arXiv:2610.34914v2 Announce Type: replace-cross Abstract: High-performance General Matrix Multiplication (GEMM) implementations rely on breaking down GEMM into carefully selected tiles to achieve peak performance. We pre…
- arXiv cs.AIresearchReasoning Patterns for Efficient AI Coding: An Empirical Study
arXiv:2610.34943v1 Announce Type: cross Abstract: Large Reasoning Models (LRMs) generate long reasoning traces that expose intermediate inference behavior, offering opportunities to study and control reasoning in AI codi…
- arXiv cs.AIresearchRelational Composition as Parallel Transport: What Per-Entity Frames Force in Attention
arXiv:2610.34945v1 Announce Type: cross Abstract: A dot product means something only when both vectors share a coordinate system. Content words have one; a fresh entity does not: rotating its coordinates alone changes no…
- arXiv cs.AIresearchCorrelation-Aware Exploration for Long-Trace Reasoning
arXiv:2610.34949v1 Announce Type: cross Abstract: Reasoning models trained with Group Relative Policy Optimization (GRPO) now produce chains of thought thousands of tokens long, and recent studies reveal that such traini…
- arXiv cs.AIresearchSVD-Attention: Efficiently Analyzing Attention Blocks in Transformers
arXiv:2610.34971v1 Announce Type: cross Abstract: Pretrained transformers spend a large share of their inference compute inside self-attention, yet the per-head query-key interaction is structurally low-rank by construct…
- arXiv cs.AIresearchSparse Recovery Bird's-Eye View Model Soup for Robust Camera-Based 3D Object Detection
arXiv:2610.34976v1 Announce Type: cross Abstract: Camera-based bird's-eye view (BEV) perception methods such as Fast-BEV have demonstrated promising results with fast inference speed and competitive accuracy. However, th…
- arXiv cs.AIresearchFrom Single Spins to Ensembles: A Calibrated Symbolic Regression Pipeline for NV Spectroscopy
arXiv:2610.35016v1 Announce Type: cross Abstract: Characterizing nitrogen-vacancy (NV) ensembles requires connecting their collective spectra to individual centers that experience different local environments. We develop…
- arXiv cs.AIresearchAutoPRL: Automated Path Representation Learning via a Learnable View Generator
arXiv:2610.35032v1 Announce Type: cross Abstract: Self-supervised learning has emerged as a powerful paradigm for Path Representation Learning (PRL) in road networks. PRL aims to learn informative representations of path…
- arXiv cs.AIresearchCA-HNM: Constraint-Aware Hard Negative Mining for Dense Retrieval with Structured Domain Models
arXiv:2610.35045v1 Announce Type: cross Abstract: Dense retrievers are commonly trained with hard negatives selected from lexical or dense retrieval results. Retrieval proximity, however, does not indicate whether a cand…
- arXiv cs.AIresearchJoint Dynamic Lane Reversal and Variable Speed Limit Control: A Graphormer-Based Approach
arXiv:2610.35070v1 Announce Type: cross Abstract: Connected and automated vehicles could allow reassigning lane directions and speed limits on every road frequently, but the benefit hinges on how traffic reroutes, and on…
- arXiv cs.AIresearchSubspace Crystallization in Grokking: Rank Compression Tracks the Phase Transition
arXiv:2610.35112v1 Announce Type: cross Abstract: Grokking describes understanding something deeply and intuitively. In neural networks, it is the phenomenon where a network generalizes long after memorizing its training…
- arXiv cs.AIresearchUTA: Universal Training Adaptive Learning Rate Decay
arXiv:2610.35113v1 Announce Type: cross Abstract: Learning rate decay (LRD) is critical for training high-performance models, yet most designs remain empirically driven. Although the Universal Budget Aware (UBA) LRD offe…
- arXiv cs.AIresearchGenerative AI in Turbulence: Foundations, Applications, Validations and Benchmarks
arXiv:2610.35123v1 Announce Type: cross Abstract: Generative AI offers new approaches to turbulence problems in which incomplete observations or unresolved d.o.f. admit multiple physically plausible solutions. Potential…
- arXiv cs.AIresearchLocked In: Multi-Objective RL for the AI Data Center Build-Out
arXiv:2610.35147v1 Announce Type: cross Abstract: AI data center build-out is a multi-trillion-dollar, multi-decade infrastructure program. Yet siting, power procurement, and cooling decisions are still made with static,…
- arXiv cs.AIresearchSoK: Timestamps Are Not a Time Model: Rethinking Temporal Reasoning in Host-Based Intrusion Detection
arXiv:2610.35151v1 Announce Type: cross Abstract: Host-based intrusion detectors order events, window audit streams and sequence attack stages by their timestamps. Every conclusion they draw therefore rests on assumption…
- arXiv cs.AIresearchFormal Explanations for Linear Temporal Logic over Finite Traces
arXiv:2610.35169v1 Announce Type: cross Abstract: Linear Temporal Logic over Finite Traces (LTLf) is widely used in Artificial Intelligence to specify desired temporal behavior and determine whether finite traces satisfy…
- arXiv cs.AIresearchOrthoRF: Exploring Orthogonality in Object-Centric Representations
arXiv:2610.35203v1 Announce Type: cross Abstract: Neural synchrony is hypothesized to help the brain organize visual scenes into structured multi-object representations. In machine learning, synchrony-based models analog…
- arXiv cs.AIresearchEfficient Exact Unlearning for Federated Zeroth-Order Optimization
arXiv:2610.35211v1 Announce Type: cross Abstract: Federated zeroth-order optimization (FedZOO) reduces the memory and communication costs of collaborative training for edge intelligence by avoiding backpropagation while…
- arXiv cs.AIresearchOne-Shot Federated Model Editing for Device Dynamics at the Edge
arXiv:2610.35212v1 Announce Type: cross Abstract: Standard federated learning (FL) requires persistent device connectivity across multiple communication rounds, making it unsuitable for dynamic environments such as vehic…
- arXiv cs.AIresearchContext Is Not Free: Carbon-Aware LLM Routing for Multi-Turn LLM Web Services across Geo-Distributed Data Centers
arXiv:2610.35230v1 Announce Type: cross Abstract: The sustainability of the Web has drawn growing attention, as large language model (LLM)-based web services leave a substantial carbon footprint. These services typically…
- arXiv cs.AIresearchReading Beyond OCR Noise: Robust Cross-Lingual RAG for Legislative Archives
arXiv:2610.35240v1 Announce Type: cross Abstract: India's historical public archives present severe computer vision and document image analysis challenges: decades of parliamentary records survive only as degraded, multi…
- arXiv cs.AIresearchBeyond Vision-Language Models: Visual-Semantic Affect Graphs for Emotion Recognition in Artworks
arXiv:2610.35244v1 Announce Type: cross Abstract: Emotion recognition in artworks remains challenging because affective meaning is often subjective, implicit, and shaped by relationships between visual form and semantic…
- arXiv cs.AIresearchSatellite Intelligence: Distributed Training, Collaborative Inference,and LLM Adaptation in LEO Constellation
arXiv:2610.35282v1 Announce Type: cross Abstract: The proliferation of orbital sensing data and the real-time demands of emerging global services are pushing low Earth orbit (LEO) satellite networks from bent-pipe relays…