AI news archive.
10,659 articles filed under Research, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchA Hybrid Gaze-Motor Imagery BCI Framework for Effective Decision Communication
arXiv:2609.20273v1 Announce Type: cross Abstract: Non-invasive brain-computer interfaces (BCIs) and eye-tracking technologies offer promising communication pathways; however, motor imagery (MI)-based BCIs often suffer fr…
- arXiv cs.AIresearchA Multi-Objective Optimisation Framework for Corticomuscular EEG-EMG Pair Selection in Hybrid BCI
arXiv:2609.20275v1 Announce Type: cross Abstract: Hybrid brain-computer interface (BCI) systems that integrate electroencephalography (EEG) and electromyography (EMG) signals have shown significant potential in improving…
- arXiv cs.AIresearchLabeled Incidence Structures for Native Transformer Modeling of Text, Knowledge Graphs, and Hypergraphs
arXiv:2609.20278v2 Announce Type: replace-cross Abstract: Current Transformer interfaces index tokens by one or more integer coordinates, which determine their addresses inside attention. In RoPE and its multi-axis or hi…
- arXiv cs.AIresearchHuman and AI-generated texts between modal logic and statistics
arXiv:2609.20311v1 Announce Type: cross Abstract: We read the geometry of semantic neighbourhood graphs as modal logic and give that reading a statistical form, in order to make precise the structural difference between…
- arXiv cs.AIresearchAccelerating Sharded Data Parallelism at Scale with Federated Learning
arXiv:2609.20359v1 Announce Type: cross Abstract: The symbiotic scaling of artificial intelligence models and high-performance computing systems continually creates algorithmic challenges in their convergence. Foundation…
- arXiv cs.AIresearchXeno-Interpretability: Investigating the Alien Minds of LLMs
arXiv:2609.20408v2 Announce Type: replace-cross Abstract: Large language models are usually interpreted through concepts that humans already possess: truthfulness, refusal, deception, personality, harmfulness, and relate…
- arXiv cs.AIresearchStress-testing Alignment Midtraining
arXiv:2609.20412v1 Announce Type: cross Abstract: When aligning frontier models through post-training techniques, it is not possible to directly demonstrate all of the behaviours we want a model to exhibit in all possibl…
- arXiv cs.AIresearchTouchSight: Bare-Handed Tactile Prediction from Egocentric Video via Generative Visual Augmentation
arXiv:2609.20414v1 Announce Type: cross Abstract: Tactile signals provide direct contact and force measurements that are essential for understanding physical interactions and enabling dexterous robotic manipulation. Howe…
- arXiv cs.AIresearchSCGFM-ART: Amortized Relational Transport for Structure-Centric Graph Foundation Models
arXiv:2609.20419v1 Announce Type: cross Abstract: Graph foundation models (GFMs) aim to learn transferable representations across severely heterogeneous graph domains. However, severe domain shifts in topology, graph sca…
- arXiv cs.AIresearchWhen Do Language-Grounded Explanations Help? A Graph-Bottleneck for Farm Monitoring Interpretable Sheep Facial Pain
arXiv:2609.20427v1 Announce Type: cross Abstract: Automated pain recognition from facial expression could make continuous welfare assessment practical in sheep, but adoption depends on trust: a stockperson cannot act on…
- arXiv cs.AIresearchA Mathematical Model of Motivated Emotional Mind - Cognitive Embodied System
arXiv:2609.20437v1 Announce Type: cross Abstract: This article presents a mathematical model of the Motivated Emotional Mind cognitive architecture developed for embodied intelligent systems. Such a system learns to main…
- arXiv cs.AIresearchFingerprinting Multimodal Large Language Models
arXiv:2609.20457v1 Announce Type: cross Abstract: While multimodal large language models (MLLMs) enable a wide range of image-text reasoning tasks, recent incidents indicate that they are vulnerable to illicit deployment…
- arXiv cs.AIresearchDeep Learning-Based Classification of Cognitive and Resting States Using Electroencephalography Signals
arXiv:2609.20467v1 Announce Type: cross Abstract: The categorization of cognitive and resting states derived from electroencephalography (EEG) signals is crucial for comprehending fluctuations in brain activity linked to…
- arXiv cs.AIresearchgreCAPTCHA: Assessing Understanding as Evidence of Research Authorship Under Generative AI
arXiv:2609.20481v1 Announce Type: cross Abstract: Conferences, journals, funders, schools, and universities are struggling with a surge of potentially AI-generated submissions from ostensibly human authors, who may not h…
- arXiv cs.AIresearchEdustories: A Collection of Real-world Case Studies from Classroom Practices
arXiv:2609.20484v1 Announce Type: cross Abstract: Despite the widely recognized potential of AI in education, most prior work has focused on individualized student assistance. In contrast, the majority of educational pra…
- arXiv cs.AIresearchAccelerating Visual Policy Learning with Sampling-Based Model Predictive Control
arXiv:2609.20575v1 Announce Type: cross Abstract: Learning visual policies for locomotion and manipulation requires coordinating contact with the environment and can incur substantial computation and GPU memory costs. Fi…
- arXiv cs.AIresearchInference-Engine Fingerprinting Attacks are Practical: Exploring Model-Driven Environmental Discovery, Exploitation, and Escape
arXiv:2609.20614v1 Announce Type: cross Abstract: Frontier AI models are rapidly gaining the ability to exploit vulnerabilities in complex pieces of software. The risk is not theoretical, as evidenced by recent sandbox e…
- arXiv cs.AIresearchHIL-UMI: Bringing Human-in-the-Loop Post-Training of Vision-Language-Action Models to Universal Manipulation Interface
arXiv:2609.20659v2 Announce Type: replace-cross Abstract: Large-scale vision-language-action (VLA) models provide powerful priors for robot manipulation, yet adapting them to a specific deployment remains challenging. Su…
- arXiv cs.AIresearchLarge Language Models as Falsifiers for Cyber-Physical Systems
arXiv:2609.20752v1 Announce Type: cross Abstract: Falsification searches for counterexamples to formal specifications in cyber-physical systems (CPS). With specifications written in Signal Temporal Logic (STL), falsifica…
- arXiv cs.AIresearchGeoAAC: Geometry-Based Adaptive Action Chunking from Denoising Trajectories in VLA Policies
arXiv:2609.20776v1 Announce Type: cross Abstract: Action chunking is widely used for action generation and execution in Vision-Language-Action (VLA) policies, yet existing approaches commonly use a fixed action horizon.…
- arXiv cs.AIresearchHarm Laundering in GPT Models: Evidence That Gender Discrimination Is Transformed Rather Than Reduced Across Safety-Trained Generations
arXiv:2609.20779v1 Announce Type: cross Abstract: Safety evaluations for large language models rely on surface-form classifiers that report declining harm scores across model generations. We provide evidence that this me…
- arXiv cs.AIresearchERCPMP-Gx: Endoscopic Image and Video Dataset for Morphological, Histopathological, and Genomic Characterization of Colorectal Polyposis
arXiv:2609.20815v1 Announce Type: cross Abstract: Hereditary polyposis syndromes can be precursor lesions to colorectal cancer and are associated with a broad spectrum of extracolonic tumors. Early identification and acc…
- arXiv cs.AIresearchPaint-Anything: Unified Any-Color Control for Image Generation and Editing
arXiv:2609.20816v2 Announce Type: replace-cross Abstract: Professional design requires any-color control: the ability to specify an object's target color with any 24-bit hex value for image generation and editing. Prior…
- arXiv cs.AIresearchFAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations
arXiv:2609.20817v1 Announce Type: cross Abstract: Modeling articulated objects from sparse monocular views is challenging because each observation reveals only partial geometry and motion evidence. Most feed-forward meth…
- arXiv cs.AIresearchWorkspace Models: Lightweight Robotic Memory via Saliency-Driven Supervision
arXiv:2609.20820v3 Announce Type: replace-cross Abstract: Complex robotic manipulation tasks frequently require a long-term memory of past events and actions. As conditioning on full histories renders policies prone to s…
- arXiv cs.AIresearchoMeBench: Towards Robust Benchmarking of LLMs in Organic Mechanism Elucidation and Reasoning
arXiv:2510.07731v4 Announce Type: replace Abstract: Organic reaction mechanisms describe the step-wise elementary processes by which reactants transform into intermediates and products, and are fundamental to understandi…
- arXiv cs.AIresearchTripScore: Aligning LLMs for Real-World Travel Planning via Expert-Calibrated Reward
arXiv:2510.09011v4 Announce Type: replace Abstract: In our deployed travel-planning service, most users give minimal inputs or free-form requests rather than the structured constraint checklists assumed by existing bench…
- arXiv cs.AIresearchBehavioral Coherence: A Method for Sensitive-Domain LLM Evaluation
arXiv:2512.13142v5 Announce Type: replace Abstract: People use LLMs for reproductive-health questions, including abortion-related support. A response can sound supportive while answers reinforce harmful assumptions: judg…
- arXiv cs.AIresearchModel Specific Task Similarity for Vision Language Model Selection via Layer Conductance
arXiv:2602.01346v2 Announce Type: replace Abstract: While open sourced Vision-Language Models (VLMs) have proliferated, selecting the optimal pretrained model for a specific downstream task remains challenging. Exhaustiv…
- arXiv cs.AIresearchA Neuropsychologically Grounded Evaluation of LLM Cognitive Abilities
arXiv:2603.02540v2 Announce Type: replace Abstract: Large language models (LLMs) display a unified "general factor" of capability across 10 benchmarks (a finding confirmed by our factor analysis of 156 models), yet they…
- arXiv cs.AIresearchGuideline-grounded retrieval-augmented generation for ophthalmic clinical decision support
arXiv:2603.21925v2 Announce Type: replace Abstract: In this work, we propose Oph-Guid-RAG, a multimodal visual RAG system for ophthalmology clinical question answering and decision support. We treat each guideline page a…
- arXiv cs.AIresearchSCICONVBENCH: Benchmarking LLMs on Multi-Turn Clarification for Task Formulation in Computational Science
arXiv:2605.18630v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly deployed as scientific AI as- sistants, and a growing body of benchmarks evaluates their capabilities across knowledge ret…
- arXiv cs.AIresearchMulti-Resolution Attribution from Adaptive Routing State
arXiv:2605.22866v2 Announce Type: replace Abstract: Adaptive hierarchical systems accumulate routing state as they learn which components to select. We show that this state already defines a coherent attribution over the…
- arXiv cs.AIresearchWhen Summaries Distort Decisions: Information Fidelity in LLM-Compressed Financial Analysis
arXiv:2606.29251v3 Announce Type: replace Abstract: Financial decision-makers face more information than they can directly inspect, making context compression necessary. Yet when large language models (LLMs) compress fin…
- arXiv cs.AIresearchAI Training Manager: Bounded Closed-Loop Control of Adaptive Training Recipes
arXiv:2606.29871v3 Announce Type: replace Abstract: We present the AI Training Manager, a bounded LLM-based metacognitive monitoring-and-control layer for machine-learning training. The Manager asynchronously observes st…
- arXiv cs.AIresearchFitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models
arXiv:2608.08736v2 Announce Type: replace Abstract: Fitness Action Quality Assessment (AQA) is important for intelligent sports training, yet the capabilities of Multimodal Large Language Models (MLLMs) in this setting r…
- arXiv cs.AIresearchAttributing Preprocessing Invariance in Spectral Foundation Models
arXiv:2608.14227v3 Announce Type: replace Abstract: A spectral foundation model should remain useful when laboratories preprocess spectra differently. The standard test trains a classifier under one pipeline and evaluate…
- arXiv cs.AIresearchAIREP: A Protocol for Per-Decision Evidence in AI Runtime Governance
arXiv:2608.21363v2 Announce Type: replace Abstract: Runtime-governance evidence often collapses materially different events into one audit record: a decision may be made, an instruction dispatched or received, an action…
- arXiv cs.AIresearchLayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies
arXiv:2609.06079v5 Announce Type: replace Abstract: Vision-Language-Action (VLA) policies leverage pretrained vision-language models (VLMs) to guide action generation for robot control. VLMs provide hierarchical visual-s…
- arXiv cs.AIresearchInference-Time Nash Alignment
arXiv:2609.08082v2 Announce Type: replace Abstract: Preference-based fine-tuning methods such as RLHF and DPO require substantial compute and large preference datasets. They also need direct access to the model parameter…
- arXiv cs.AIresearchGenerating a Consistent Enterprise: Synthesis and Reference-Free Evaluation of Multi-System Business Data
arXiv:2609.11286v2 Announce Type: replace Abstract: Synthetic relational data is normally produced by a model trained on a real dataset, and its quality is measured as the distance to that dataset. This paper describes a…
- arXiv cs.AIresearchAquiLLM: Evaluating Faithfulness in Open-Weight RAG-LLM Systems for Scientific Research
arXiv:2609.16519v3 Announce Type: replace Abstract: Scientific research increasingly relies on large, heterogeneous data sources, motivating interest in retrieval-augmented generation (RAG) systems that provide natural l…
- arXiv cs.AIresearchPhysics-Informed Support Vector Kernels via Green-Function Analogies and Jackson-Chebyshev Spectral Design
arXiv:2502.11153v4 Announce Type: replace-cross Abstract: Kernel selection for regression of physical observables is often heuristic. We investigate a physics-informed strategy in which functional forms and spectral stru…
- arXiv cs.AIresearchInformation-Geometric Inverse Distillation for Enhancing Adversarial Transferability
arXiv:2502.17003v2 Announce Type: replace-cross Abstract: Transfer-based adversarial attacks rely on surrogate models to craft perturbations, yet often overfit the surrogate's decision boundary. To address this problem,…
- arXiv cs.AIresearchFORGE: Forensic Reasoning with Grounded Evidence
arXiv:2503.15867v4 Announce Type: replace-cross Abstract: Forensic deepfake analysis demands more than binary classification: investigators need region-grounded natural language explanations they can verify against the i…
- arXiv cs.AIresearchFOCAL: Fine-Grained Optimal-Transport-Driven Contrastive Alignment of Language and ECGs with Waveform Enhancement
arXiv:2505.11939v3 Announce Type: replace-cross Abstract: Electrocardiograms (ECGs) are essential non-invasive tools for diagnosing cardiovascular diseases. While recent multimodal ECG-Report contrastive learning methods…
- arXiv cs.AIresearchAntiGrounding: Executable Robot Trajectories as Visual Prompts for VLM-Guided Manipulation
arXiv:2506.12374v4 Announce Type: replace-cross Abstract: Natural-language instructions specify manipulation goals but leave the robot's motion underdetermined. We present AntiGrounding, a visual action-selection framewo…
- arXiv cs.AIresearchChunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation
arXiv:2506.17277v2 Announce Type: replace-cross Abstract: The retrieval stage of retrieval-augmented generation (RAG) for scientific question answering depends on how documents are segmented and how chunks are represente…
- arXiv cs.AIresearchSpherical Cauchy Variational Autoencoders: Heavy Angular Tails and Exact KL Evaluation
arXiv:2506.21278v4 Announce Type: replace-cross Abstract: Heavy-tailed posteriors are routine in Euclidean variational autoencoders, where the Student family relaxes the Gaussian without new machinery. The sphere has had…
- arXiv cs.AIresearchUnderstanding Role Switching in Human-AI Collaboration through Multimodal Behavioral Signals
arXiv:2509.20666v2 Announce Type: replace-cross Abstract: Human-AI collaboration often requires dividing complex tasks into complementary subtasks. As a task unfolds, users may want to shift which subtasks they perform a…