Papers
Fri 10 Jul 2026
325 papers
- A Full Adam Theorem for Spectral Heavy-Tail OnsetKnowledge distillation → General knowledge distillation methods
- Dependency-Aware Chain-of-Thought Compression for Financial ReasoningLLM reasoning → Test-time compute and efficient thinking
- Mutual Debiasing via Dual-Seed Comparison for Probabilistic Sampling in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Do LLM Agents Negotiate Rationally? A Mechanism-Design Framework for Verifiable Multi-Agent Interaction over A2A/MCPLLM agents and tool use → Social simulation and multi-agent debate
- Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based GuidanceDiffusion models → Image generation, text-to-image and editing
- GuidedRAG: Semantic Steering of Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- SimpleWikiSearch: A Clean Offline Wikipedia Environment for Agentic SearchLLM agents and tool use → Web, search, and research agents
- From Atoms to Entropy: Optimal Noise Allocation for Diffusion Training in the Convex RegimeDiffusion models → Diffusion foundations and sampling
- Codec-Gauge: Learning Compression-Friendly Gauges for Transformer KV CachesEfficient LLM inference and serving → KV cache optimization
- AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-UseLLM agents and tool use → GUI and mobile agents
- DynamicMCPBench: A Trace-Grounded, Effect-Scored Benchmark for LLM Agents over Live MCP ServersLLM agents and tool use → Tool learning and function calling
- PromptPack: Scaling LLM Annotation Agents for Online RecommendationLLM agents and tool use → Agentic recommender systems
- Evaluating and Guarding Citation Faithfulness in Agentic Scientific SynthesisLLM agents and tool use → Web, search, and research agents
- GenSyn10: A Multi-Generative AI Dataset For Benchmarking Image ClassificationDiffusion models → Image generation, text-to-image and editing
- The Economics of AI Decoding Chips: Rebalancing Compute, Capacity, and Bandwidth for Efficient LLM InferenceMixture-of-experts → Efficient MoE training and inference systems +1
- Model Guides You How to Draw: Adaptive Visual Gating for Unified Multimodal ReasoningLLM reasoning → Multimodal reasoning
- Silent Failures in Quantized LLM Reasoning: A Taxonomy-Based Analysis of Hollow Convergence and Failure Mode ShiftsLLM reasoning → Test-time compute and efficient thinking
- Who&When Pro: Can LLMs Really Attribute Failures in AI Agents?LLM agents and tool use → Software engineering coding agents
- An LLM-powered Agentic Recommendation System for Connected TV Content DiscoveryLLM agents and tool use → Agentic recommender systems
- TopoExplore: Homology as an Exploration SignalDeep reinforcement learning methods → Deep RL algorithms and representations
- RouteRec: Strict Evaluation of Recommender-Agent Selection and AggregationLLM agents and tool use → Agentic recommender systems
- Do These Violent Delights Have Violent Ends? Measuring the Post-Merge Fate of Agentic CodeLLM agents and tool use → Software engineering coding agents
- Nonparametric Bayesian Inverse Reinforcement Learning with Data-Parallel Gibbs SamplingOffline RL and imitation learning from data → Inverse reinforcement learning +1
- Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- From Direction to Magnitude: How Multimodal Instruction-Tuning Reorganizes the Geometric Encoding of Identity-Specifying Prompts in Transformer Hidden StatesLLM reasoning → Prompting and chain-of-thought reasoning +1
- Exploring Agentic Workflows for Generating High Quality Math Visual AidsLLM agents and tool use → Educational agents and math problem solving
- More Structure, Not More Capacity: Object-Centric Representations for Visuomotor Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Memory-Conditioned Tool Calling for Camera-First Visual AgentsLLM agents and tool use → Agent memory systems
- TS-Mask VLA: 2D Temporal-Spatial Masking for Vision-Language-Action Model with Effective BridgingVision-language-action models → Efficient VLA inference and adaptation
- PanoWorld: Real-World Panoramic GenerationWorld models → Video-generation world models and simulators
- OpenLongTail: Generative Scaling of Long-Tail Driving DataWorld models → World models for autonomous driving +1
- Evolution of Accuracy and Visual-Cognitive Errors in a Decade of Vision-Language AI ModelsLLM reasoning → Multimodal reasoning +1
- VEXAIoT: Autonomous IoT Vulnerability EXploitation using AI AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Semantic Pareto-DQN: A Multi-Objective Reinforcement Learning Framework for Financial Anomaly DetectionDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Task-Specific Multimodal Question Answering Agents via Confidence Calibration and Incremental Reasoning for QANTA 2026LLM agents and tool use → Multimodal and embodied agents
- LLM for EDA in Front-End Design: Challenges and OpportunitiesLLM agents and tool use → Software engineering coding agents
- Mosaic: Runtime-Efficient Multi-Agent Embodied PlanningLLM agents and tool use → Multimodal and embodied agents
- Agora: Enhancing LLM Agent Reasoning Via Auction-Based Task AllocationLLM reasoning → Reasoning for agents, planning and code +1
- PAC-ACT: Post-training Actor-Critic for Action Chunking TransformersDeep reinforcement learning methods → RL for robot locomotion and manipulation
- TrustX Agent Risk Classification Framework (ARC): Risk-Tiering Internally Created Agentic AI SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance GenerationDiffusion models → Audio, speech and music
- TCLA: Training-Free Class-wise Logit Adaptation for Medical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- CORL-AUV: CFD Oriented Reinforcement Learning for Autonomous Underwater VehiclesDeep reinforcement learning methods → RL for robot navigation and UAV control
- Writing Bug Reports for Software Repair Agents: What Information Matters Most?LLM agents and tool use → Software engineering coding agents
- The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- FreyaTTS: A Compact Tokenizer-Free Flow-Matching Transformer for Turkish-First Speech SynthesisDiffusion models → Audio, speech and music
- SAGEAgent: A Self-Evolving Agent for Cost-Aware Modality Acquisition in Multimodal Survival PredictionLLM agents and tool use → Medical and scientific domain agents +1
- Seeing is Free, Speaking is Not: Uncovering the True Energy Bottleneck in Edge VLM InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- One-Shot Multimodal Learning from Demonstration with Force-Constrained Elastic MapsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Failure as a Process: An Anatomy of CLI Coding Agent TrajectoriesLLM agents and tool use → Software engineering coding agents
- Shared Selective Persistent Memory for Agentic LLM SystemsLLM agents and tool use → Agent memory systems
- Multimodal Reward Hacking in Reinforcement LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- ProofCouncil: An LLM Agent for Solving Open Mathematical ProblemsLLM agents and tool use → Educational agents and math problem solving
- Robustifying Vision-Language Models via Test-Time Prompt AdaptationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Test-Time Scaling for Small VLMs on Multilingual Visual MCQLLM reasoning → Multimodal reasoning +1
- A Sovereign, Open-Source Foundation Model for German and EnglishMixture-of-experts → MoE large language models +1
- Fictional Worldbuilding: Multi-Agent LLM Collaboration with Hierarchical Context Compression and Iterative ReviewLLM agents and tool use → Multimodal and embodied agents
- Mach-Mind-4-Flash Technical ReportLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-Augmented GenerationRetrieval-augmented generation → Medical and biomedical RAG
- Shortcut Trajectory Planning for Efficient Offline Reinforcement LearningOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- Communication-Efficient Digital-Twin Coordination for Heterogeneous LLM Embodied Agents over Computing Power NetworksLLM agents and tool use → General LLM agent frameworks and benchmarks
- LongMedBench: Benchmarking Medical Agents for Long-Horizon Clinical Decision-MakingLLM agents and tool use → Medical and scientific domain agents
- Autoregressive latent diffusion for 3D molecule generationDiffusion models → Flow matching, time series and science
- Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization ProblemLLM safety and security → Machine unlearning
- Glob3R: Global Structure-from-Motion with 3D Foundation ModelsWorld models → Video-generation world models and simulators
- OpenProver: Agentic and Interactive Theorem Proving with Lean 4LLM agents and tool use → Educational agents and math problem solving
- Toward Auditable AI Scientists: A Hypothesis Evolution Protocol for LLM AgentsLLM agents and tool use → Web, search, and research agents
- Causally Debiased Latent Action Model for Embodied Action Conditioned World ModelsWorld models → Embodied and robot world models
- Malaika: Understanding Malware through Tri-Grounded Agentic ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Scoped Verification for Reliable Long-Horizon Agentic Context Evolution under Distribution ShiftLLM agents and tool use → General LLM agent frameworks and benchmarks
- KV-PRM: Efficient Process Reward Modeling via KV-Cache Transfer for Multi-Agent Test-Time ScalingLLM reasoning → Reinforcement learning for reasoning +3
- BeyondSight: Object Permanence for End-to-End Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- ReGen: Hierarchical Multi-Prompt Representation Generation for Efficient Waveform Diffusion ModelsDiffusion models → Audio, speech and music
- 4D Human-Scene Reconstruction from Low-Overlap CapturesDiffusion models → 3D, point cloud and scene generation
- ReProAgent: Tool-Augmented Multi-Stage Agentic Generation of Bug Reproduction Tests from Issue ReportsLLM agents and tool use → Software engineering coding agents
- Quantum Circuits in Diffusion Models: A Fair-Comparison Study and a Mechanistic Analysis of Angle-Embedding FailuresDiffusion models → Diffusion foundations and sampling
- Multi-Agent LLM Collaboration for Unit Test Generation via Human-Testing-Inspired WorkflowsLLM agents and tool use → Software engineering coding agents
- L-MAD: A Systematic Evaluation of Multi-Agent Debate Structures in Legal ReasoningLLM agents and tool use → Social simulation and multi-agent debate
- AgentKGV: Agentic LLM-RAG Framework with Two-Stage Training for the Fact Verification of Knowledge GraphsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG +1
- GeoTrace: Geometry-Aware Trajectory Token Compression for Video Large Language ModelsEfficient LLM inference and serving → Visual token pruning in multimodal models
- Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security ControlsLLM agents and tool use → Agent threats, guardrails and governance
- Agentic Proof and Property-Based Testing via Property-Templates in Data-Intensive ComputingLLM agents and tool use → Educational agents and math problem solving
- Latency-Aware Digital Twin-Assisted Cooperative Perception for Autonomous VehiclesEnd-to-end autonomous driving → Cooperative and V2X driving
- Probing Diffusion Denoising Dynamics for Contrastive Representation LearningDiffusion models → Diffusion foundations and sampling
- On Locality and Length Generalization in Visual ReasoningLLM reasoning → Multimodal reasoning
- Learning More from Less: Reinforcement Learning from HindsightVision-language-action models → Reinforcement learning and post-training
- MOSAIC: Adaptive Inter-layer Composition for Efficient Heterogeneous Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- SLBench: Evaluating How LLM Agents Follow Logical Relations in SkillsLLM agents and tool use → Agent skill learning and evolution
- Secret Scanner Agent: Extracting Secrets and Access Context from Unstructured DocumentsLLM agents and tool use → Agent threats, guardrails and governance
- C-GAP: Class-Aware and Online Prompting Improves Vision-Language Models on Imbalanced ClassesMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- RaMark: Radioactive Watermarking for Generated Tabular DataLLM safety and security → Watermarking generated content and models
- Faking Good and Faking Bad in LLMs: Response Distortion Across Dark Triad Personality Traits
- Dimension-Corrected Hitting Times for Heavy-Tailed Spectral Emergence in Neural Optimizer Dynamics
- The Battery Price of edge AI: A study of the Environmental Impact of LLM Inference on Mobile Devices
- Sledgehammer or Scalpel? A Fine-grained Adaptive Framework for Implicit Hate Speech
- From Sound to Symptom: Real-Time Respiratory Signal Understanding for Conversational Healthcare Agents
- A Safety-Gated Multimodal AI Backend for Mental-Health Support: Hierarchical State Representation, Conservative Risk Fusion, and Controlled Generation in Anian
- Effective Personalized AI Tutors via LLM-Guided Reinforcement Learning
- ComNetX: Local Hierarchical Adaptation for Dynamic Community Detection
- The politics of postmortem privacy
All 325
- Large Language Models and their Awareness of Mechanics and Spatial Geometry
- DumpsterCluster: From Dumpster Diving to Serving LLaMA-70B on 60 GPUs
- FluctlightDB: A Memory Model of Data for AI Agents
- EEG Emotion Recognition From AI-Generated Biodigital Architecture Images
- A Path Integral Model of Cognition
- SetGo: Metadata Readiness for Scientific AI Datasets
- How LLM Task-Adaptation Reshapes Alignment: A Multi-dimensional Study of Behavioral and Representational Drift
- Text-based Tactile Graphics Generation for the Visually Impaired
- Improving Access to Essential Medicines via Decision-Aware Machine Learning
- HypNO: A Graph-Based Neural Operator with Physics-Informed Message Passing for Hyperbolic Conservation Laws
- Leveraging Biokinetic Knowledge Priors for Data-Scarce Bioprocess Modeling
- ReliableTableQA:How Much Supervision Does Reliability Annotation Need?
- A Graph Neural Network approach to zero-shot Digital Twins
- Grounding Investor Views: Neural Predicates in the Black-Litterman Model
- Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development
- CLOE: Christoffel Loss Autoencoder for Anomaly Detection
- Uncertainty-Aware Trust Estimation for Multi-LLM Systems via Structured Expert Judgement
- ConfidenceBench: Evaluating Confidence Calibration in Large Language Models
- MAC 2026: Advancing Micro-Action Analysis Towards Fine-Grained Understanding
- Volition Elicitation: Operational Semantics for People and Their Machines
- Untrusted Authors, Trusted Answers: A Calculus of Fidelity-Graded Translations
- Repairing Shape-Prior Shortcuts in Long-Range Single-Shot Fringe Projection Profilometry
- FlashTrie: A GPU-Accelerated Constrained Beam Search for Generative Retrieval
- Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough
- Geometric mean-based pairwise comparison method with the reference values -- statistical approach
- MLPs are Hebbians: Constructing Efficient Fact-Storing MLPs for Transformers
- Robustly Invertible Nonlinear Dynamics and the BiLipREN: From Inversion-Based Control to Generative Trajectory Modelling
- Local Multimodal Music Alignment from Global Supervision
- A Symbolic Neural CPU for Quantization-Simulated Writeback and Interpretable Program Execution
- FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora
- Tokenizing Numerical and Embedding Features for LLM RecSys
- Runtime Safety Filtering for Learned Small UAS Separation Policies under GNSS Degradation
- Manifold Constrained Conformal Prediction for Spatial Events
- Vilya-1: An all-atom foundation model for macrocycle structure prediction and design
- Beyond Bayesian Nash: Learning Minimax-Regret Equilibria for Adversarial Team Games under Asymmetric Information
- UniPose9D: Universal Category-Agnostic Object Pose Estimation
- Multimodal Routing for Interpretable, Robust, and Auditable Clinical Prediction
- Inverse-IMPRESSION: A Graph-based Platform for Molecular Structure Elucidation from Experimental NMR Spectroscopic Properties
- A Production-Oriented Framework for Evaluation of SFX Generation
- Learning in Curved Weight Space:Exponential-Linear Weight Reparameterization for Improved Optimization
- Workload-Driven Optimization for On-Device Real-Time Subtitle Translation
- Optimizing ARDL Models for Retail Sales Forecasting and Fair Pricing
- A Foundation Model for Multimodal Event Sequences in Financial Applications
- A Knowledge-Based Multi-Agent Framework for Security Control Recommendation
- Artificial Intelligence Across the Cardiac Amyloidosis Diagnostic and Management Pathway: From Single-Modality Detection to Multimodal Clinical Integration
- SMETA-ZSL:Semantic Meta-Alignment for Zero-Shot Threat Classification
- Faithful by Design: Evaluating and Improving LLM-Generated Clinical Trial Summaries for Multi-Stakeholder Audiences
- Banshee: Target Switch Attacks on Gimbal-Stabilized Visual Tracking Systems via Acoustic Injection
- Global Merger-Arbitrage Forecasting with Language Models
- Learning Partition Trees for Nearest Neighbor Search
- Depth-Efficient Quantum Topological Data Analysis for Regime-Specific Detection of Financial Stress
- When Classical Baselines Are Tuned as Carefully as the Quantum Model, Does Quantum Reservoir Computing Still Win?
- An End-to-End Hybrid Quantum-Classical Sampling Workflow for Discrete Markov Random Fields: A Reproducible Case Study
- Next-Dense-Stride Prediction for Multimodal Autoregressive Visual Modeling
- What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection
- Do Transformer Temporal Heads and Post-Pooling Motion Gates Help CorrNet-based CSLR? An Empirical Study
- Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention
- Bridging the Catalog-to-Real Gap: Scalable Product Recognition via Multi-Stage Contrastive Learning
- Index SLM Technical Report
- ShapKO: Shapley-Adaptive Modality Knockout for Robust Multimodal Learning
- A Dual-Stream Challenge-Response Protocol for Ocular Liveness Verification
- CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series
- Serving the Long Tail: Training-Free LLM Candidate Generation for Vacation Rental Marketplaces
- Prompting-MammAlps: Fine-Grained Text-to-Video Retrieval for Camera-Trap Data
- Nonlinear Axiomatic Attribution for Cooperative Games
- Neural Posterior Estimation for Inferring Weak Lensing Shear
- Reliability-Aware Ensemble Classification Under Class Imbalance: A Calibration Study on Liquid-Based Cervical Cytology
- Does YOLO26 Truly Offer Advantages Over Its Predecessors for Edge Deployment? A Benchmark Study in Aquaculture
- Generative Testing of Automated Speech Recognition Systems
- A Strong Balanced-Softmax Classifier-Retraining Baseline for Long-Tailed Recognition
- Slide-Level Active Learning Reduces Annotation Burden in H&E images
- Tracking Intermittent Particles with Self-Learned Visual Features
- Robustness and Stability Analysis of Differentiable Shift-Variant FBP for Cone-Beam CT under Challenging Acquisition Settings
- TDSal: Task-Based Top-Down Saliency Prediction Model
- Towards Objective Dysgraphia Detection: A Multi-Branch Deep Learning Approach for Online Handwriting Analysis
- Performance Benchmarking and Optimisation of Clustering Algorithms for Local and Non-Local Similarity Measure in Medical Image Analysis
- Learning Predictive Ambiguity Sets for Decision-Focused Distributionally Robust Optimization
- Estimation, Prediction, and Assortment Optimization for Markov Chain Choice Models with Panel Data
- RUBRIC: Realism--Utility Balanced Ranking for Imbalanced Classification
- RASR: Range-Aware Scale Recovery for Metric UAV Navigation
- CHM-Net: Center Heatmap-driven Macro-Micro Modeling Network for MRI-based Microbial Density Stratification
- Detangled: A Framework for Creating, Editing, and Inferencing Feature Rich Hair Strands
- PHINN-EEG: Topological Time-Series Analysis of Dream-State EEG -- Dynamic Betti Curves for Dream Content Classification and Topology-Conditioned Neural Signal Synthesis
- Scalable Visual Pretraining for Language Intelligence
- Revisiting Euler-Angle Regression with Kolmogorov-Arnold Networks
- ConceptSMILE: Auditing the Trustworthiness of Concept-Based Explainable AI
- Deep Gaussian Processes on Directed Acyclic Graphs
- Lean-QIT: Towards a Formal Infrastructure for Quantum Information Theory
- The Effects of Synthetic Data and Label Distribution on Canola Branch Counting
- 4DR360: State Reasoning for Joint 3D Detection and Occupancy Prediction in 4D Radar-Camera Full-Scene Perception
- Dynamic Frechet Regression with Feature Selection for Distributional Data
- Toward Real-Time Sentence-Level Sign Language Translation
- Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR
- Characterization of the Basin of Convexity for Multi-Snapshot Spike Deconvolution via Variable Projection
- Promptable Concept Segmentation from Above: Evaluating SAM 3's Zero-Shot and One-Shot Capabilities in Remote Sensing
- Entropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical Kinetics
- Knowledge Graphs and Explainable AI as Complementary Resources for Urban Mining
- SurvFM enables tabular foundation models for right-censored survival prediction
- Conceptual Networks for Cross-Linguistic Idiomatic Expressions: A Feature-Based Graph Approach
- Large-Scale Portfolio Optimization Problem Under Cardinality Constraint With Enhanced Multi-Objective Evolutionary Algorithms
- Beyond Fixed Representations: The Vocabulary and Verifier Gaps in Open-Ended AI
- High-Dimensional Interpolators Can Be Fragile: Heavy Tails and High-Dimensional Large Deviations
- Graph-Regularized Low-Rank Matrix Completion by Variable Projection
- CoCoT-EEG: Contrastive-Pretrained Multiscale Convolutional Transformer for EEG Decoding
- GatedLinear: Adaptive Routing of Complementary Linear Bases for Time Series Forecasting
- Statistically Undetectable Backdoors in Deep Neural Networks
- TSAI-MetaFraud: A Benchmark Dataset for Financial Fraud Transaction and Behavioral Risk Detection in Metaverse Ecosystems
- ALICE: Learning a General-Purpose Pathology Foundation Model from Vision, Vision-Language, and Slide-Level Experts
- DGSfM: Depth-Guided Scale-Aware Global Structure-from-Motion
- What VGGT Knows About Overlap: Probing Geometric Foundation Models for Co-Visibility
- All Explanations are Wrong, But Many Are Useful: Exploring the Rashomon Explanation Set with Large Language Models
- Normalisation-Based Likelihood Ratio Estimation for Forensic Authorship Verification
- Terminal Dimension Reduction for Time Series with Applications
- Ceci n'est pas une pipe: AI systems as semantic abstractions
- SigLIP-HD by Fine-to-Coarse Supervision
- Neural Collapse Is Forbidden: Information Floors in Language Models
- Decoupling Language Guidance from Backbones for Text-Guided Medical Segmentation
- Foveation-Guided Dynamic Token Selection for Robust and Efficient Vision Transformers
- Deep Learning for Dynamic Programming with Recursive Utility Using First-order Conditions
- Active rejection enables reliable generalization of universal machine-learning interatomic potentials
- Hydra++: Real-Time Hierarchical 3D Scene Graph Construction With Object-Level Shape Estimation
- Practical Source Code Recovery from Binary Functions Using Anchor-Based Retrieval and LLM Reasoning
- How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding
- Parameter-Efficient Vision-Language Adaptation with Continuous Metadata Conditioning for Animal Re-Identification
- Near-optimal node-private community estimation in polynomial-time
- comprisk: A scikit-learn-compatible Python toolkit for competing-risks survival analysis
- Multimodal Scenario Similarity Search for Autonomous Driving
- Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning
- SVF-CR: Synchronized Visual-Facial Cross-Refinement for Multimodal Ambivalence and Hesitancy Recognition
- Self-Guided Test-Time Training for Long-Context LLMs
- Similarity search generalisation in contrastive learning with InfoNCE loss
- SYNRARE: Synthetic Rare Disease EHR Generation for ML Benchmarking
- Data-Efficient Deep Learning: Empirical Guidelines for Training Set Size Estimation in Inertial Sensor Classification
- On-Device Adaptive Battery Power Prediction for Electric Vehicles
- Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks
- STEEL: Sparsity-Aware Fused Attention for Energy-Efficient Long-Sequence Inference on AMD's XDNA NPU
- Learning Physics-Informed Surrogate Model of Linear Elastic Displacement Fields from Geometry
- When Routes Run Out: Adversarial Co-Learning and Explainable Robustness in Quantum Repeater Networks
- Graph Neural Networks for Scalable and Transferable Node Centrality Approximation
- Spectrally Deconfounded Gradient Boosting
- Diversifying to Verify: When Task-Equivalent Programs Differ in Verifiability
- CtrlVTON: Controllable Virtual Try-On via Visual-Instance-Prompt Segmentation
- Simon-SR: Spatially Adaptive Modulation and Visual Prompt Adaptation for Text-Reinforced Super-Resolution
- DKCD: Domain Knowledge-Enhanced Causal Discovery from Unstructured Data
- Towards Detecting Inconsistencies in End-to-end Generated TODs
- Dynamic Inverse Rendering for Enhanced Material-Lighting Decomposition
- WildTrace: Benchmarking Natural Evidence Trails in Long-Context Reasoning
- Letting the Data Speak: Extracting Keywords from Crowdsourced Collections with AI
- Automatic Thematic Indexing of Large Literary Corpora: A Machine Learning Approach to Voltaire's Complete Works
- Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins
- From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand
- TextileNet: Towards Zero-shot Text-style Segmentation of Manuscripts
- Risk-Aware General-Utility Markov Decision Processes
- Letter Lemmatization: One-to-one and Banded RNNs for Reversing Character-Set Simplification and Abbreviation in Medieval Text
- Leveraging Interpretable Tsetlin Machine for PDF Malware Detection
- Super-Tuning: From Activation-Aware Pruning to Sparse Fine-Tuning
- Rethinking Monocular Depth Embedding for Generalized Stereo Matching
- REMIND: RE-Identification with Memory for INDoor Navigation
- LionVote: Per-Layer Learning Rate Adaptation for Lion
- Semantic Hardness Is Not Visual Hardness: Sign-Aware Hard Negative Mining for Sign Language Retrieval
- Geopolitical alignment: Endorsement effects in large language models
- AnythingReality: Robust Online Gaussian Splatting SLAM for Open-Vocabulary VR Scene Exploration
- Authority-Bound Governance of Heterogeneous AI Security Decisions in Telecom and IoT Networks
- LLMs for health: Perceived benefits, risks, intention to use AI chatbots, and willingness to self-disclose across sensitive health topics
- Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics
- All you need is SAMPAT
- Temporal Knowledge Graph Forecasting under Distribution Shifts: A Synthetic Evaluation
- When Does Order Flow Matter? State-Dependent L2 Liquidity-State Transitions in Crypto Futures
- Git-Assistant: Planning-Based Support for Updating Git Repositories
- TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation
- Joint-Embedding Predictive Architecture for Solar PV Panel Fault Classification
- Complexity-Guided Component-wise Initialization for Language Model Pretraining
- Interference and Retention in Continual Learning
- Application of machine learning to monster level prediction in tabletop RPG game design
- YeTI: You Only Need Two Noisy Images for Real-World sRGB Noise Generation
- GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency
- HiHR: Hierarchical Hyperbolic Representation for Aerial-Ground Person Re-Identification
- Generative Communications: Overview, Technologies, and Trends
- Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations
- TSR-Ego: Temporally Guided Stereo Refinement Framework for Egocentric 3D Human Pose Estimation
- Understanding Schedule-Free Methods in Nonconvex Optimization: Rate Guarantees and Escaping Saddles
- COAST: Context-Aware Differential Learning for Gene Expression Prediction in Spatial Transcriptomics
- A Personalized Computational Framework for Assessing the Sufficiency of Partially Observed Data in Healthcare AI models
- What Pixels Are Enough? SEAMS: Sufficiency Saliency via MSE-Preservation Soft-Masks
- Activation Steering Transfer to Agents: One Gain Ratio Does Not Identify Potency and Efficacy
- Weaving Light and Time: Unified Harmonic-Geometric Representation Learning for Dense RGB-Event Parsing
- MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation
- Control Laguerre Tessellation: Semi-discrete Optimal Transport Over Control Systems
- Super-Generalist: Towards Comprehensive and Accurate Medical Image Understanding via Generalist-Specialist Synergy
- IB-Flow: Information Bottleneck-Guided CFG Distillation for Few-Step Text-to-Image Generation
- VTaMo: Video-Text Alignment Model for Sign Language Translation
- Power Flow Feasibility Assessment Using Variational Graph Autoencoders
- Augmenting Fundamental Analysis with Large Language Models: A RAG-Based System for Generating Investor Briefs
- Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection
- Event Stream based Multi-Modal Video Anomaly Detection: A Benchmark Dataset and Algorithms
- Quantum-Enhanced Synthetic Data Generation Using Quantum Circuit Born Machines for Imbalanced Tabular Learning
- Integrating Large Language Models and Graph Convolutional Networks for Semi-Supervised Image Classification
- Equivariant Filter for High Performance Image Tracking using an Event Camera
- Beyond Metadata: CAPRA for Hidden Subgroup Analysis under Missing Metadata in Medical Imaging
- A Coreset Selection Framework with Ensemble Aggregation for Image Classification
- Solving Stochastic Fixed-Point Equations with High Probability
- PRecG: Legal Precedent Retrieval with Graph Neural Networks and Rhetorical Role Segmentation
- Beyond Time Shifts: Adapting Omni-LLM as a Reference-Free Evaluator for Generative Audio-Visual Models
- EXHOLD: Experience-Aware Real-Time Hold Control for Large-Scale Ride-Hailing Matching at DiDi
- DETRAM: End-to-end DEtection, Tracking and Recovery of HumAn Meshes
- Achieving Almost Exact Recovery in Almost Quadratic Time: Rank-Based Graph Matching via Local Tree Correlation Tests
- Subtoken Vision Transformer for Fine-grained Recognition
- A Survey on the Green Development of Large Models: From Resource-Efficient Architectures to Hardware-Software Co-Design
- REBASE: Reference-Background Subspace Elimination for Training-Free In-Context Segmentation
- Adaptive Latent Trajectory Anchoring for Action Segmentation Dataset Condensation
- Toward Active Object Detection for UAVs in the Wild: A Large-Scale Dataset, Benchmark and Method
- Pitfalls and Remedies for Multi-Task Bayesian Optimization
- OmniMapBench: Benchmarking Visual-Centric Reasoning on Diverse Map Documents
- Inside the Skill Market: From Software Engineering Activities to Reusable Agent Skills
- EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems
- ARCANA: A Reflective Multi-Agent Program Synthesis Framework for ARC-AGI-2 Reasoning
- STEAM: Stable Self-Training with Elastic Matching and Adaptive Purification
- An Emergent Mirage: Is Emergent Misalignment and Realignment Indeed a Robust Phenomenon?
- COBS: Cumulant Order Block Sparse Attention
- Variable-Length Generative Protein Design via Generalized Poisson Flow
- Quantum Logic as the Logic of Contexts
- Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systems
- Video Generation Models are General-Purpose Vision Learners
- Phone Segmentation and Recognition through Phonological Activation Mapping
- Correlation-Aware Contextual Bandits with Surrogate Rewards for LLM Routing