Papers
Thu 19 Feb 2026
329 papers
- DIALECTIC: A Multi-Agent System for Startup EvaluationLLM agents and tool use → Financial trading and forecasting agents
- ARKV: Adaptive and Resource-Efficient KV Cache Management under Limited Memory Budget for Long-Context Inference in LLMsLLM agents and tool use → Software engineering coding agents +1
- AI Agents Alone Are Not (Yet) Sufficient for Social SimulationLLM agents and tool use → Social simulation and multi-agent debate
- Trojan Horses in Recruiting: A Red-Teaming Case Study on Indirect Prompt Injection in Standard vs. Reasoning ModelsLLM reasoning → Reasoning for agents, planning and code +1
- El Agente Gr'afico: A Semantic Execution Runtime for Scientific AgentsLLM agents and tool use → Medical and scientific domain agents
- MeDUET: Disentangled Unified Pretraining for 3D Medical Image Synthesis and AnalysisDiffusion models → Medical imaging and segmentation
- Understanding Unreliability of Steering Vectors in Language Models: Geometric Predictors and the Limits of Linear ApproximationsMechanistic interpretability → Activation steering methods
- MultiVer: Zero-Shot Multi-Agent Vulnerability DetectionLLM agents and tool use → Agent threats, guardrails and governance
- Understanding the Fine-Grained Knowledge Capabilities of Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Learning Compact Video Representations for Efficient Long-form Video Understanding in Large Multimodal ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Enhancing Scientific Literature Chatbots with Retrieval-Augmented Generation: A Performance Evaluation of Vector and Graph-Based SystemsRetrieval-augmented generation → Agentic RAG, agents and memory
- Two Calm Ends and the Wild Middle: A Geometric Picture of Memorization in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- MePoly: Max Entropy Polynomial Policy OptimizationOffline RL and imitation learning from data → Inverse reinforcement learning +1
- The Token Games: Evaluating Language Model Reasoning with Puzzle DuelsLLM reasoning → Reasoning benchmarks and evaluation
- Drift Estimation for Stochastic Differential Equations with Denoising Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Enabling Training-Free Text-Based Remote Sensing SegmentationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Grassmannian Mixture-of-Experts: Concentration-Controlled Routing on Subspace ManifoldsMixture-of-experts → Expert routing strategies
- Learning Flow Distributions via Projection-Constrained Diffusion on ManifoldsDiffusion models → Flow matching, time series and science
- The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Bayesian Optimality of In-Context Learning with Selective State SpacesState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Reasoning-Native Agentic Communication for 6GLLM agents and tool use → Agentic AI for wireless networks
- OpenEarthAgent: A Unified Framework for Tool-Augmented Geospatial AgentsLLM reasoning → Spatial and embodied reasoning
- Sink-Aware Pruning for Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAsVision-language-action models → Failure recovery and robustness
- MARS: Margin and Semantic-Aware Data Augmentation for Reward ModelingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Pushing the Frontier of Black-Box LVLM Attacks via Fine-Grained Detail TargetingMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- When to Trust the Cheap Check: Weak and Strong Verification for ReasoningLLM reasoning → Test-time compute and efficient thinking
- SMAC: Score-Matched Actor-Critics for Robust Offline-to-Online TransferOffline RL and imitation learning from data → Offline RL algorithms +1
- What Makes a Good LLM Agent for Real-world Penetration Testing?LLM agents and tool use → Agent threats, guardrails and governance
- Towards Anytime-Valid Statistical WatermarkingLLM safety and security → Watermarking generated content and models
- AutoNumerics: An Autonomous, PDE-Agnostic Multi-Agent Pipeline for Scientific ComputingLLM agents and tool use → Web, search, and research agents
- MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion ModelsDiffusion models → Flow matching, time series and science
- Modeling Distinct Human Interaction in Web AgentsLLM agents and tool use → Web, search, and research agents
- Conditional Flow Matching for Continuous Anomaly Detection in Autonomous Driving on a Manifold-Aware Spectral SpaceDiffusion models → Diffusion and flow policies for robotics
- Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot TuningKnowledge distillation → General knowledge distillation methods
- ODESteer: A Unified ODE-Based Steering Framework for LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- RetouchIQ: MLLM Agents for Instruction-Based Image Retouching with Generalist RewardMultimodal LLMs / vision-language models → Image editing and quality assessment +2
- GraphThinker: Reinforcing Temporally Grounded Video Reasoning with Event Graph ThinkingLLM reasoning → Multimodal reasoning
- MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- KLong: Training LLM Agent for Extremely Long-horizon TasksLLM agents and tool use → General LLM agent frameworks and benchmarks
- Evaluating Chain-of-Thought Reasoning through Reusability and VerifiabilityLLM reasoning → Prompting and chain-of-thought reasoning +1
- LATA: Laplacian-Assisted Transductive Adaptation for Conformal Uncertainty in Medical VLMsMultimodal LLMs / vision-language models → Medical vision-language models
- Systematic Evaluation of Single-Cell Foundation Model Interpretability Reveals Attention Captures Co-Expression Rather Than Unique Regulatory SignalMechanistic interpretability → Interpreting biomedical and science models
- Enhancing Large Language Models (LLMs) for Telecom using Dynamic Knowledge Graphs and Explainable Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- A Picture of Agentic SearchLLM agents and tool use → Web, search, and research agents
- Variational Grey-Box Dynamics MatchingDiffusion models → Flow matching, time series and science
- EAGLE: Expert-Augmented Attention Guidance for Tuning-Free Industrial Anomaly Detection in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- 2Mamba2Furious: Linear in Complexity, Competitive in AccuracyState-space sequence models (S4, Mamba) → Vision Mamba backbones
- PersonaMail: Learning and Adapting Personal Communication Preferences for Context-Aware Email WritingLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- LexiSafe: Offline Safe Reinforcement Learning with Lexicographic Safety-Reward HierarchyOffline RL and imitation learning from data → Safe offline RL
- MedClarify: An information-seeking AI agent for medical diagnosis with case-specific follow-up questionsLLM agents and tool use → Medical and scientific domain agents
- ArXiv-to-Model: A Practical Study of Scientific LM TrainingLLM reasoning → Reasoning benchmarks and evaluation
- RLGT: A reinforcement learning framework for extremal graph theoryDeep reinforcement learning methods → RL for games and combinatorial optimization
- Unified Latents (UL): How to train your latentsDiffusion models → Diffusion foundations and sampling
- FRAPPE: Infusing World Modeling into Generalist Policies via Multiple Future Representation AlignmentWorld models → Embodied and robot world models +1
- Web Agents Should Use Typed Actions Instead of Click-Based BrowsingLLM agents and tool use → Web, search, and research agents
- Mechanistic Interpretability of Cognitive Complexity in LLMs via Linear Probing using Bloom's TaxonomyMechanistic interpretability → Knowledge and representations inside LLMs
- Continual learning and refinement of causal models through dynamic predicate inventionWorld models → World models for language agents
- MGD: Moment Guided Diffusion for Maximum Entropy GenerationDiffusion models → Diffusion foundations and sampling
- EntropyPrune: Matrix Entropy Guided Visual Token Pruning for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Focusing Where Vision Matters: Selective Training for Large Vision Language Models via Visual Information GainMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Robustness and Reasoning Fidelity of Large Language Models in Long-Context Code Question AnsweringLLM reasoning → Reasoning benchmarks and evaluation
- BadCLIP++: Stealthy and Persistent Backdoors in Multimodal Contrastive LearningLLM safety and security → Backdoor and data poisoning attacks
- The Emergence of Lab-Driven Alignment Signatures: A Psychometric Framework for Auditing Latent Bias and Compounding Risk in Generative AILLM reasoning → Reasoning for agents, planning and code
- AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code GenerationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Deep Reinforcement Learning for Optimal Portfolio Allocation: A Comparative Study with Mean-Variance OptimizationDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Agentic Wireless Communication for 6G: Intent-Aware and Continuously Evolving Physical-Layer IntelligenceLLM agents and tool use → Agentic AI for wireless networks
- What to Cut? Predicting Unnecessary Methods in Agentic Code GenerationLLM agents and tool use → Software engineering coding agents
- Synergizing Transport-Based Generative Models and Latent Geometry for Stochastic Closure ModelingDiffusion models → Flow matching, time series and science
- MeGU: Machine-Guided Unlearning with Target Feature DisentanglementLLM safety and security → Machine unlearning
- Dynamic Decision-Making under Model Misspecification: A Stochastic Stability ApproachDeep reinforcement learning methods → RL theory and sample complexity
- How AI Coding Agents Communicate: A Study of Pull Request Description Characteristics and Human Review ResponsesLLM agents and tool use → Software engineering coding agents
- BankMathBench: A Benchmark for Numerical Reasoning in Banking ScenariosLLM reasoning → Reasoning for agents, planning and code
- RFEval: Benchmarking Reasoning Faithfulness under Counterfactual Reasoning Intervention in Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- IntentCUA: Learning Intent-level Representations for Skill Abstraction and Multi-Agent Planning in Computer-Use AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Amber-Image: Efficient Compression of Large-Scale Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- Phase-Aware Mixture of Experts for Agentic Reinforcement LearningLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Wink: Recovering from Misbehaviors in Coding AgentsLLM agents and tool use → Software engineering coding agents
- PartRAG: Retrieval-Augmented Part-Level 3D Generation and EditingRetrieval-augmented generation → Multimodal RAG
- Patch-Based Spatial Authorship Attribution in Human-Robot Collaborative PaintingsLLM agents and tool use → Multimodal and embodied agents
- WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient ReasoningLLM reasoning → Reinforcement learning for reasoning
- ReIn: Conversational Error Recovery with Reasoning InceptionLLM reasoning → Reasoning benchmarks and evaluation
- Arcee Trinity Large Technical ReportMixture-of-experts → Efficient MoE training and inference systems
- Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User HistoryLLM reasoning → Reasoning for agents, planning and code +1
- Dynamic Delayed Tree Expansion For Improved Multi-Path Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- A testable framework for AI alignment: Simulation Theology as an engineered worldview for silicon-based agentsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable ModelingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Fail-Closed Alignment for Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- DDiT: Dynamic Patch Scheduling for Efficient Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- HalalBench: A Multilingual OCR Benchmark for Food Packaging Ingredient Extraction
- Differentiable Symbolic Planning: A Neural Architecture for Constraint Reasoning with Learned Feasibility
- OPRIDE: Offline Preference-based Reinforcement Learning via In-Dataset Exploration
- The IJCNN 2025 Review Process
- A Hybrid Tsallis-Polarization Impurity Measure for Decision Trees: Theoretical Foundations and Empirical Evaluation
- CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training
- Valid Feature-Level Inference for Tabular Foundation Models via the Conditional Randomization Test
- Two-Bridge: Exclusive Objectives and Extended Horizon StarCraft II Benchmark
- ASFL: An Adaptive Model Splitting and Resource Allocation Framework for Split Federated Learning
- ZorBA: Zeroth-order Federated Fine-tuning of LLMs with Heterogeneous Block Activation
- A Benchmark Analysis of Graph and Non-Graph Methods for Caenorhabditis Elegans Neuron Classification
All 329
- Automated Quality Check of Sensor Data Annotations
- Catalyzing Informed Residential Energy Retrofit Decisions via Domain-Specific LLM
- The Geometry of Multi-Task Grokking: Transverse Instability, Superposition, and Weight Decay Phase Structure
- AdaptStress: Online Adaptive Learning for Interpretable and Personalized Stress Prediction Using Multivariate and Sparse Physiological Signals
- Sketch2Feedback: Grammar-in-the-Loop Framework for Rubric-Aligned Feedback on Student STEM Diagrams
- Wide Open Gazes: Quantifying Visual Exploratory Behavior in Soccer with Pose Enhanced Positional Data
- Measuring the Prevalence of Policy Violating Content with ML Assisted Sampling and LLM Labeling
- Weak-Form Evolutionary Kolmogorov-Arnold Networks for Solving Partial Differential Equations
- Beyond Pass-by-Pass Optimization: Intent-Driven IR Optimization with Large Language Models
- Breaking the Correlation Plateau: On the Optimization and Capacity Limits of Attention-Based Regressors
- Learning from Biased and Costly Data Sources: Minimax-optimal Data Collection under a Budget
- COMBA: Cross Batch Aggregation for Learning Large Graphs with Context Gating State Space Models
- Machine Learning Based Prediction of Surgical Outcomes in Chronic Rhinosinusitis from Clinical Data
- Interactive Learning of Single-Index Models via Stochastic Gradient Descent
- MantisV2: Closing the Zero-Shot Gap in Time Series Classification with Synthetic Data and Test-Time Strategies
- ADAPT: Hybrid Prompt Optimization for LLM Feature Visualization
- Financial time series augmentation using transformer based GAN architecture
- JAX-Privacy: A library for differentially private machine learning
- TopoGate: Quality-Aware Topology-Stabilized Gated Fusion for Longitudinal Low-Dose CT New-Lesion Prediction
- On the Evaluation Protocol of Gesture Recognition for UAV-based Rescue Operation based on Deep Learning: A Subject-Independence Perspective
- Neural Prior Estimation: Learning Class Priors from Latent Representations
- Mind the Style: Impact of Communication Style on Human-Chatbot Interaction
- Quad Length Codes for Lossless Compression of e4m3
- On the scaling relationship between cloze probabilities and language model next-token prediction
- TFL: Targeted Bit-Flip Attack on Large Language Model
- Influence-Preserving Proxies for Gradient-Based Data Selection in LLM Fine-tuning
- Causality by Abstraction: Symbolic Rule Learning in Multivariate Timeseries with Large Language Models
- Avoid What You Know: Divergent Trajectory Balance for GFlowNets
- Ontology-Guided Neuro-Symbolic Inference: Grounding Language Models with Mathematical Domain Knowledge
- Neural Synchrony Between Socially Interacting Language Models
- VQPP: Video Query Performance Prediction Benchmark
- Promptable segmentation with region exploration enables minimal-effort expert-level prostate cancer delineation
- Calibrated Adaptation: Bayesian Stiefel Manifold Priors for Reliable Parameter-Efficient Fine-Tuning
- VidEoMT: Your ViT is Secretly Also a Video Segmentation Model
- Deep Learning for Dermatology: An Innovative Framework for Approaching Precise Skin Cancer Detection
- LGD-Net: Latent-Guided Dual-Stream Network for HER2 Scoring with Task-Specific Domain Knowledge
- Market Games for Generative Models: Equilibria, Welfare, and Strategic Entry
- Multi-Modal Monocular Endoscopic Depth and Pose Estimation with Edge-Guided Self-Supervision
- QueryPlot: Generating Geological Evidence Layers using Natural Language Queries for Mineral Exploration
- Multi-material Multi-physics Topology Optimization with Physics-informed Gaussian Process Priors
- Topological Exploration of High-Dimensional Empirical Risk Landscapes: general approach, and applications to phase retrieval
- Asking Forever: Universal Activations Behind Turn Amplification in Conversational LLMs
- Solving and learning advective multiscale Darcian dynamics with the Neural Basis Method
- Sparse Bayesian Modeling of EEG Channel Interactions Improves P300 Brain-Computer Interface Performance
- CLUTCH: Contextualized Language model for Unlocking Text-Conditioned Hand motion modelling in the wild
- KPM-Bench: A Kinematic Parsing Motion Benchmark for Fine-grained Motion-centric Video Understanding
- Investigating Target Class Influence on Neural Network Compressibility for Energy-Autonomous Avian Monitoring
- Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models
- Detection and Classification of Cetacean Echolocation Clicks using Image-based Object Detection Methods applied to Advanced Wavelet-based Transformations
- AgriVariant: Variant Effect Prediction using DeepChem-Variant for Precision Breeding in Rice
- Bigger Is Safer: Provable Robustness in In-Context Learning Scales with Capacity
- GeneZip: Region-Aware Compression for Long Context DNA Modeling
- CLEF HIPE-2026: Evaluating Accurate and Efficient Person-Place Relation Extraction from Multilingual Historical Texts
- What Language is This? Ask Your Tokenizer
- Mine and Refine: Optimizing Graded Relevance in E-commerce Semantic Search Retrieval
- Differences in Typological Alignment in Language Models' Treatment of Differential Argument Marking
- Human-level 3D shape perception emerges from multi-view learning
- Multi-Round Human-AI Collaboration with User-Specified Requirements
- A.R.I.S.: Automated Recycling Identification System for E-Waste Classification Using Deep Learning
- FAMOSE: A ReAct Approach to Automated Feature Discovery
- IntRec: Intent-based Retrieval with Contrastive Refinement
- CORAL: Correspondence Alignment for Improved Virtual Try-On
- Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting
- Catastrophic Forgetting Resilient One-Shot Incremental Federated Learning
- Unmasking the Factual-Conceptual Gap in Persian Language Models
- Stable Asynchrony: Variance-Controlled Off-Policy RL for LLMs
- Guarding the Middle: Protecting Intermediate Representations in Federated Split Learning
- Adapting Actively on the Fly: Relevance-Guided Online Meta-Learning with Latent Concepts for Geospatial Discovery
- SOLVAR: Fast covariance-based heterogeneity analysis with pose refinement for cryo-EM
- Art2Mus: Artwork-to-Music Generation via Visual Conditioning and Large-Scale Cross-Modal Alignment
- The Cascade Equivalence Hypothesis: When Do Speech LLMs Behave Like ASRrightarrowLLM Pipelines?
- From Approximation Rates to Loss-Landscape Barrier Decay in Shallow ReLU Networks
- AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games
- Asymptotically Optimal Sequential Testing with Markovian Data
- Canonicalizing Multimodal Contrastive Representation Learning
- Simultaneous Blackwell Approachability and Applications to Multiclass Omniprediction
- FR-GESTURE: An RGBD Dataset For Gesture-based Human-Robot Interaction In First Responder Operations
- Be Wary of Your Time Series Preprocessing
- A Hybrid Federated Learning Based Ensemble Approach for Lung Disease Diagnosis Leveraging Fusion of SWIN Transformer and CNN
- Revisiting Weight Regularization for Low-Rank Continual Learning
- Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer's and Lewy Body Dementia Diagnosis
- Neural Implicit Representations for 3D Synthetic Aperture Radar Imaging
- A Theoretical Framework for Modular Learning of Robust Generative Models
- Learning to Stay Safe: Adaptive Regularization Against Safety Degradation during Fine-Tuning
- Adaptive Decentralized Composite Optimization via Three-Operator Splitting
- genriesz: A Python Package for Automatic Debiased Machine Learning with Generalized Riesz Regression
- Using LLMs for Knowledge Component-level Correctness Labeling in Open-ended Coding Problems
- IRIS: Learning-Driven Task-Specific Cinema Robot Arm for Visuomotor Motion Control
- Toward a Fully Autonomous, AI-Native Particle Accelerator
- Position: Evaluation of ECG Representations Must Be Fixed
- Provably Explaining Neural Additive Models
- The Anxiety of Influence: Bloom Filters in Transformer Attention Heads
- Variational inference via radial transport
- Depth Augmented and FE Free 3D/2D Liver Registration for Laparoscopic Liver AR
- Bridging the Domain Divide: Supervised vs. Zero-Shot Clinical Section Segmentation from MIMIC-III to Obstetrics
- LORA-CRAFT: Cross-layer Rank Adaptation via Frozen Tucker Decomposition of Pre-trained Attention Weights
- Pareto Optimal Benchmarking of AI Models on ARM Cortex Processors for Sustainable Embedded Systems
- Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
- Learning with Boolean threshold functions
- Linear Convergence in Games with Delayed Feedback via Extra Prediction
- Tracing Copied Pixels and Regularizing Patch Affinity in Copy Detection
- What Do LLMs Associate with Your Name? A Human-Centered Black-Box Audit of Personal Data
- QuPAINT: Physics-Aware Instruction Tuning Approach to Quantum Material Discovery
- Small LLMs for Medical NLP: a Systematic Analysis of Few-Shot, Constraint Decoding, Fine-Tuning and Continual Pre-Training in Italian
- 4D Monocular Surgical Reconstruction under Arbitrary Camera Motions
- Cross-Lingual Sentiment Misalignment: Auditing Multilingual Language Models for Inversion Risk, Dialectal Representation, and Affective Stability
- PEACE 2.0: Grounded Explanations and Counter-Speech for Combating Hate Expressions
- Entropy-Based Data Selection for Language Models
- Jolt Atlas: Verifiable Inference via Lookup Arguments in Zero Knowledge
- Beyond Pipelines: A Fundamental Study on the Rise of Generative-Retrieval Architectures in Web Research
- ABCD: All Biases Come Disguised
- AIDG: A Formal Decomposition of Information Extraction and Containment Asymmetries in Multi-Turn LLM Dialogue
- WarpRec: Unifying Academic Rigor and Industrial Scale for Responsible, Reproducible, and Efficient Recommendation
- Fine-Grained Uncertainty Quantification for Long-Form Language Model Outputs: A Comparative Study
- Evaluating Extremely Low-Resource Machine Translation: A Comparative Study of ChrF++ and BLEU Metrics
- Diverse Word Choices, Same Reference: Annotating Lexically-Rich Cross-Document Coreference
- Convergence Analysis of Two-Layer Neural Networks under Gaussian Input Masking
- A Privacy by Design Framework for Large Language Model-Based Applications for Children
- DAVE: A Policy-Enforcing LLM Spokesperson for Secure Multi-Document Data Sharing
- Improving LLM-based Recommendation with Self-Hard Negatives from Intermediate Layers
- A Contrastive Variational AutoEncoder for NSCLC Survival Prediction with Missing Modalities
- A High-Level Survey of Optical Remote Sensing
- SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Generalized Category Discovery
- Voice-Driven Semantic Perception for UAV-Assisted Emergency Networks
- DRetHTR: Linear-Time Decoder-Only Retentive Network for Handwritten Text Recognition
- Visual Model Checking: Graph-Based Inference of Visual Routines for Image Retrieval
- Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature
- Corpus Prevalence of Multiple-Choice Question Options
- MDP Planning as Policy Inference
- Tree crop mapping of South America reveals links to deforestation and conservation
- RPDR: A Round-trip Prediction-Based Data Augmentation Framework for Long-Tail Question Answering
- A feature-stable and explainable machine learning framework for trustworthy decision-making under incomplete clinical data
- Application and Evaluation of the Common Circles Method
- Shortcut learning in geometric knot classification
- Partial Optimality in the Preordering Problem
- What Breaks Embodied AI Security:LLM Vulnerabilities, CPS Flaws,or Something Else?
- From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection
- Polaffini: A feature-based approach for robust affine and polyaffine image registration
- SubQuad: Near-Quadratic-Free Structure Inference with Distribution-Balanced Objectives in Adaptive Receptor framework
- WebFAQ 2.0: A Multilingual QA Dataset with Mined Hard Negatives for Dense Retrieval
- Leveraging Contrastive Learning for a Similarity-Guided Tampered Document Data Generation Pipeline
- The Sound of Death: Deep Learning Reveals Vascular Damage from Carotid Ultrasound
- Same Meaning, Different Scores: Lexical and Syntactic Sensitivity in LLM Evaluation
- Flickering Multi-Armed Bandits
- Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICE
- Attachment Anchors: A Novel Framework for Laparoscopic Grasping Point Prediction in Colorectal Surgery
- Representation Collapse in Machine Translation Through the Lens of Angular Dispersion
- Efficient privacy loss accounting for subsampling and random allocation
- Towards Cross-lingual Values Judgment: A Consensus-Pluralism Perspective
- Quantum Scrambling Born Machine
- Physics Encoded Spatial and Temporal Generative Adversarial Network for Tropical Cyclone Image Super-resolution
- Gaussian Surrogates for Poisson Imaging: Some Theoretical and Empirical Results
- Federated Latent Space Alignment for Multi-user Semantic Communications
- Learning a Latent Pulse Shape Interface for Photoinjector Laser Systems
- Quantifying and Mitigating Socially Desirable Responding in LLMs: A Desirability-Matched Graded Forced-Choice Psychometric Study
- EA-Swin: An Embedding-Agnostic Swin Transformer for AI-Generated Video Detection
- A Multi-modal Detection System for Infrastructure-based Freight Signal Priority
- SCOPE: Structured Prototype-Guided Adaptation for EEG Foundation Models with Limited Labels
- Inferring Height from Earth Embeddings: First insights using Google AlphaEarth
- CounterFlowNet: From Minimal Changes to Meaningful Counterfactual Explanations
- TAPO-Structured Description Logic for Information Behavior: Procedural and Oracle-Based Extensions
- All Leaks Count, Some Count More: Interpretable Temporal Contamination Detection and Mitigation in LLM Backtesting
- HiMAP: History-aware Map-occupancy Prediction with Fallback
- Privacy-Preserving Mechanisms Enable Cheap Verifiable Inference of LLMs
- Decoding the Human Factor: High Fidelity Behavioral Prediction for Strategic Foresight
- From Labor to Collaboration: A Methodological Experiment Using AI Agents to Augment Research Perspectives in Taiwan's Humanities and Social Sciences
- Extending quantum theory with AI-assisted deterministic game theory
- SoftDTW-CUDA-Torch: Memory-Efficient GPU-Accelerated Soft Dynamic Time Warping for PyTorch
- Deeper detection limits in astronomical imaging using self-supervised spatiotemporal denoising
- GASS: Geometry-Aware Spherical Sampling for Disentangled Diversity Enhancement in Text-to-Image Generation
- What Makes a Good Doctor Response? A Study on Text-Based Telemedicine
- Texo: Formula Recognition within 20M Parameters
- Anti-causal domain generalization: Leveraging unlabeled data
- The Bots of Persuasion: Examining How Conversational Agents' Linguistic Expressions of Personality Affect User Perceptions and Decisions
- NRGS-SLAM: Monocular Non-Rigid SLAM for Endoscopy via Deformation-Aware 3D Gaussian Splatting
- NextCrystal: a Symmetry-Driven Generative Framework for Crystal Structure Prediction
- Continual Uncertainty Learning for Robust Control of Nonlinear Systems with Multiple Heterogeneous Uncertainties
- In-Context Learning in Linear vs. Quadratic Attention Models: An Empirical Study on Regression Tasks
- JEPA-DNA: Grounding Genomic Foundation Models through Joint-Embedding Predictive Architectures
- Powering Up Zeroth-Order Training via Subspace Gradient Orthogonalization
- TimeOmni-VL: Unified Models for Time Series Understanding and Generation
- Bonsai: A Framework for Convolutional Neural Network Acceleration Using Criterion-Based Pruning
- When More Experts Hurt: Underfitting in Multi-Expert Learning to Defer
- B3-Seg: Camera-Free, Training-Free 3DGS Segmentation via Analytic EIG and Beta-Bernoulli Bayesian Updates
- VP-VAE: Rethinking Vector Quantization via Adaptive Vector Perturbation
- Efficient Parallel Algorithm for Decomposing Hard CircuitSAT Instances
- 3D Scene Rendering with Multimodal Gaussian Splatting
- TIFO: Time-Invariant Frequency Operator for Stationarity-Aware Representation Learning in Time Series
- i-PhysGaussian: Implicit Physical Simulation for 3D Gaussian Splatting
- Epistemology of Generative AI: The Geometry of Knowing
- Semi-Supervised Learning on Graphs using Graph Neural Networks
- Instructor-Aligned Knowledge Graphs for Personalized Learning
- Projective Psychological Assessment of Large Multimodal Models Using Thematic Apperception Tests
- Owen-based Semantics and Hierarchy-Aware Explanation (O-Shap)
- Toward Trustworthy Evaluation of Sustainability Rating Methodologies: A Human-AI Collaborative Framework for Benchmark Dataset Construction
- Simplify to Amplify: Achieving Information-Theoretic Bounds with Fewer Steps in Spectral Community Detection
- Online Learning with Improving Agents: Multiclass, Budgeted Agents and Bandit Learners
- Operationalization of Machine Learning with Serverless Architecture: An Industrial Operationalization of Machine Learning with Serverless Architecture: An Industrial Implementation for Harmonized System Code Prediction
- Benchmarking the Effects of Object Pose Estimation and Reconstruction on Robotic Grasping Success
- FLoRG: Federated Fine-tuning with Low-rank Gram Matrices and Procrustes Alignment
- A Locality Radius Framework for Understanding Relational Inductive Bias in Database Learning
- ComptonUNet: A Deep Learning Model for GRB Localization with Compton Cameras under Noisy and Low-Statistic Conditions
- Adam Improves Muon: Adaptive Moment Estimation with Orthogonalized Momentum
- Cross Pseudo Labeling For Weakly Supervised Video Anomaly Detection
- AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation
- General sample size analysis for probabilities of causation: a delta method approach
- Spatio-temporal dual-stage hypergraph MARL for human-centric multimodal corridor traffic signal control
- Predictive Batch Scheduling: Accelerating Language Model Training Through Loss-Aware Sample Prioritization
- Sign Lock-In: Randomly Initialized Weight Signs Persist and Bottleneck Sub-Bit Model Compression
- Retaining Suboptimal Actions to Follow Shifting Optima in Multi-Agent Reinforcement Learning
- Cholec80-port: A Geometrically Consistent Trocar Port Segmentation Dataset for Robust Surgical Scene Understanding
- ALPS: A Diagnostic Challenge Set for Arabic Linguistic & Pragmatic Reasoning
- Evaluating Cross-Lingual Classification Approaches Enabling Topic Discovery for Multilingual Social Media Data
- Multi-Probe Zero Collision Hash (MPZCH): Mitigating Embedding Collisions and Enhancing Model Freshness in Large-Scale Recommenders
- StructCore: Structure-Aware Image-Level Scoring for Training-Free Unsupervised Anomaly Detection
- Large Language Models Persuade Without Planning Theory of Mind
- LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation
- Forecasting Anomaly Precursors via Uncertainty-Aware Time-Series Ensembles
- Transforming Behavioral Neuroscience Discovery with In-Context Learning and AI-Enhanced Tensor Methods
- M2F: Automated Formalization of Mathematical Literature at Scale
- Action-Graph Policies: Learning Action Co-dependencies in Multi-Agent Reinforcement Learning
- Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases
- Exploring LLMs for User Story Extraction from Mockups
- Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation
- Fundamental Limits of Black-Box Safety Evaluation: Information-Theoretic and Computational Barriers from Latent Context Conditioning
- Discovering Universal Activation Directions for PII Leakage in Language Models
- HQFS: Hybrid Quantum Classical Financial Security with VQC Forecasting, QUBO Annealing, and Audit-Ready Post-Quantum Signing
- Early-Warning Signals of Grokking via Loss-Landscape Geometry
- A Unified Framework for Locality in Scalable MARL