Papers
Tue 21 Jul 2026
352 papers
- Position: Recommender Systems Should Move Beyond Platform-Centric Ranking toward Personal Agent-Mediated RecommendationLLM agents and tool use → Agentic recommender systems
- InternReviewer & InternAdvocate: Objective Reward and Evaluation for Agentic Reinforcement Learning in Peer Review and RebuttalLLM agents and tool use → Web, search, and research agents
- PA-CoT: Profile-Adaptive Chain-of-Thought for Personalized Nutritional ConsultingLLM reasoning → Clinical and biomedical applications
- Don't Want Your LLM to Recommend Nuclear Strike? Try Asking It in JapaneseLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- MaSRead: Content-Addressed Reading of Replicated Latent StoresEfficient LLM inference and serving → KV cache optimization
- Speculative Correction: Draft-then-Refine Decoding for Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Linguistic Context Recodes Visual Representations in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Empowering Cross-Domain Sequential Recommendation with Hybrid Tokenization and Serial-Parallel DecodingEfficient LLM inference and serving → Speculative decoding
- An Interactive Vision Language Platform for Cognitive Remediation in SchizophreniaMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- DAMamba-UNet3D: A Parameter-Efficient Mamba State Space U-Net with Dynamic Adaptive Scan for 3D Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Visual Token Compression Enhances Robustness of MLLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- Child-Oriented AIGC Video Risk Reviewing: A Benchmark and Knowledge-Supported Iterative Reasoning FrameworkLLM reasoning → Multimodal reasoning
- SEGRA: A Structured Experience Guided Reasoning Agent for Property Graph Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Multi-Horizon Consistency as Geometry: When Latent Dynamics Contract, and When They Do NotWorld models → Latent predictive world models
- CARE: Pre-Execution Command Verification for Shell-Executing LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Twin Agent: Context Residual Compression for Privilege Separated AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Knowledge-Centric Self-ImprovementSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- ChronoStitch: Training-Free Composition of Visual KV Memories for Long-Horizon Temporal ReasoningLLM reasoning → Multimodal reasoning
- Fine-grained Computation-Communication Overlap via Tile-level Signaling and Scheduling for Mixture-of-ExpertsMixture-of-experts → Efficient MoE training and inference systems
- D3VL: Understanding Driving Scenes from 3D Time Series Data and Video with Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- When Reasoning Narrows the Move: Diversity Collapse in LLM Game PlayLLM reasoning → Reasoning for agents, planning and code
- Strong Gravitational Lensing Posterior Sampling in Pixel-Space Using Diffusion Models and Recurrent Inference MachinesDiffusion models → Inverse problems and image restoration
- MoA-Structured Decode Attention DNF Derivation, KV-Cache Accumulation, GQA/MQA, and OpenACC KernelEfficient LLM inference and serving → KV cache optimization
- REGEN: Replay-recycling for Expert-to-Generalist distillation with Offline Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents +1
- Guardrails as Scapegoats: Auditing Unfaithful Safety Refusals in Tool-Augmented LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Unlearning as Distribution Restoration: A Controlled Counterfactual Study, a Validated Selective Screen, and the Limits of Oracle-Free CertificationLLM safety and security → Machine unlearning
- BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural AcceleratorsMixture-of-experts → Efficient MoE training and inference systems
- Building Trust in Autonomous Commerce: A Verifiable Global Event Timeline and AI-Ready Fraud Intelligence LayerLLM agents and tool use → Agent threats, guardrails and governance
- Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement LearningLLM reasoning → Test-time compute and efficient thinking
- Appearance Pointers -- Multimodal Region Control of Diffusion TransformersDiffusion models → Image generation, text-to-image and editing
- Masked Visual Actions for Unified World ModelingWorld models → Embodied and robot world models
- ExpertVerse: A General-Purpose Benchmark for Expert-Level Reasoning in Knowledge-Intensive Visual SynthesisLLM reasoning → Multimodal reasoning
- OmniReasoner: Thinking with Long Audio-Video via Native Tool UseLLM reasoning → Audio-language model reasoning
- CodeRescue: Budget-Calibrated Recovery Routing for Coding AgentsLLM agents and tool use → Software engineering coding agents
- Agents in the Wild: Where Research Meets DeploymentLLM reasoning → Reasoning for agents, planning and code +1
- Provable diffusion-based posterior sampling for linear inverse problems via DDIMDiffusion models → Inverse problems and image restoration
- ROMS-IMLE: A Minimalist Approach to Competitive Single-Step Generative ModellingDiffusion models → Diffusion foundations and sampling
- ISO: An RLVR-Native Optimization StackLLM reasoning → Reinforcement learning for reasoning
- Selective State-Space Adaptation and Retrieval for Language Model ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- Off-Context GRPO: Learning to Reason on Hard Problems using Privileged InformationLLM reasoning → Reinforcement learning for reasoning
- Graph-Based Agentic AI with LangGraph: Workflow Pathways for Long-Running Stateful Business ProcessesLLM agents and tool use → Software engineering coding agents
- No Training, Better Flights: Test-Time Scaled VLMs for UAV NavigationLLM reasoning → Spatial and embodied reasoning +1
- BioSecBench-Surveillance: A Verifiable Benchmark for AI Agents in Pathogen Genomic SurveillanceLLM agents and tool use → Medical and scientific domain agents
- EviPathBench: Benchmarking Evidence Acquisition and Reasoning in Vision-Language Models for Whole-Slide PathologyLLM reasoning → Clinical and biomedical applications +1
- Inference-Time Steering for Cross-Lingual Factual Consistency in LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- MeetingToM: Evaluating Multimodal LLMs on Theory-of-Mind Reasoning in Multi-Party MeetingsLLM reasoning → Reasoning benchmarks and evaluation +1
- The Price of Reasoning: Cost-Quality Tradeoffs in Reinforcement Learning for Neural Machine TranslationLLM reasoning → Reinforcement learning for reasoning
- AdaFlash: Adaptive Speculative Decoding via On-Policy Distilled Diffusion DraftersEfficient LLM inference and serving → Speculative decoding
- Conservative Query and Adaptive Regularization for Offline RL Under Uncertainty EstimationOffline RL and imitation learning from data → Offline RL algorithms
- Cognitive Dual-Process Planning for Autonomous Driving with Structured Scene Knowledge and Verifiable Reasoning-Action ConsistencyLLM reasoning → Chain-of-thought reasoning for driving +1
- ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPUWorld models → Video-generation world models and simulators
- Agentic Real2Sim: Physics-based World Modeling with Vision-Language AgentsWorld models → Embodied and robot world models +1
- Reasoning Before Translation: Enhancing Legal Machine Translation with Structured ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Text Template Tokens Are Implicit Semantic Registers in Diffusion TransformersDiffusion models → Image generation, text-to-image and editing
- One Model, Many Graphs: Learning over Attributed Graphs across Heterogeneous Modalities with Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Parallel Noising in Neural Markov Logic NetworksDiffusion models → Discrete and text diffusion
- Latent Riemannian Flow Matching for Geometry-Grounded 3D Foundation ModelsDiffusion models → Flow matching, time series and science
- DAIS: Dependency-Aware Intermediate QA Supervision for Complex ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and EditingDiffusion models → Image generation, text-to-image and editing
- Where Should Optimizer State Live? Tiered State Allocation for Memory-Efficient Mixture-of-Experts TrainingMixture-of-experts → Efficient MoE training and inference systems
- FilmWorld: Agentic Novel-to-Film Generation through Dynamic Cinematic World ModelingWorld models → Video-generation world models and simulators +1
- Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment RetrievalMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Computational Humor with Multimodal LLMs: Methods, Datasets, Evaluation, and ChallengesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- DobicVLM: Aligning Chest X-Ray Report Generation with Clinically-Grounded Programmatic Rewards via Group Relative Policy OptimizationMultimodal LLMs / vision-language models → Medical vision-language models +1
- Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
- Verifiable Self-Evolution for Open-Ended Dialogue Skills via Future-Feedback PredictionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Dual Adversarial Fine-tuning for Enhancing Robustness of Large Vision Language ModelMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- H2SD: Hybrid Hindsight Self-DistillationLLM reasoning → Reinforcement learning for reasoning
- TAP-RAG: Task-Aware Policy Control for Long-Document Multimodal Question AnsweringRetrieval-augmented generation → Multimodal RAG
- Reasoning Error from Known Fact: Step-Level Self-Consistency Group Relative Policy Optimization for LLMLLM reasoning → Hallucination detection and mitigation
- Black-Mamba: Biologically-Inspired Leaky Accumulation for Conceptual Knowledge under Distribution DriftState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- TraceDev: A Traceability-Driven Multi-agent Framework for Requirement-to-Code DevelopmentLLM agents and tool use → Software engineering coding agents
- PhoenixRepair: Rethinking Repair Strategy Exploration in Software AgentsLLM reasoning → Reasoning for agents, planning and code +1
- OPD-IAD: From Language Judgment to Industrial Anomaly Detection via On-Policy Self-DistillationMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Data Leakage Prevention in Agentic Applications via Preemptive HardeningLLM agents and tool use → Agent threats, guardrails and governance +1
- WorldScape Policy 2.0: Empowering Steerable World Action Modeling with Reasoning-Augmented Memory and In-Context LearningWorld models → Embodied and robot world models
- HPD-Parsing: Hierarchical Parallel Document ParsingEfficient LLM inference and serving → Speculative decoding
- Cross-Agent Campaign Attribution: Linking Asynchronous Attacks Across LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- CASE: Causal Alignment and Structural Enforcement for Improving Chain-of-Thought FaithfulnessLLM reasoning → Prompting and chain-of-thought reasoning
- In-Context Learning for Wound Classification with Small Multimodal Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- AgentTrails: Towards Trust and Reuse for Agentic TasksLLM agents and tool use → Software engineering coding agents
- AI Tour Meeting: Group Travel Planning by LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- SkillSight: Calibrating Generic Content Bias for Skill RetrievalLLM agents and tool use → Agent skill learning and evolution
- PertReason: A Knowledge-Grounded Benchmark and Framework for Cell-State-Conditioned Mechanistic Reasoning of Perturbation EffectsLLM reasoning → Clinical and biomedical applications
- RF-Agent: A Practical Framework for Building Language Agents for RFIC DesignLLM agents and tool use → Software engineering coding agents
- RAGAL: A Frugal, Fully Local Retrieval-Augmented Assistant for Technical Support at a Government AgencyRetrieval-augmented generation → RAG pipeline design and evaluation
- AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM AgentsLLM agents and tool use → Software engineering coding agents
- Beyond Text Editing: Algebraic Manipulation of Source CodeLLM agents and tool use → Software engineering coding agents
- Stale but Stable: Staleness-Adaptive Trust Regions for Stabilizing Asynchronous Reinforcement LearningMixture-of-experts → MoE in reinforcement learning and robotics
- Continual Video-MLLM Adaptation over Evolving DomainsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- DWM: Separating World Effects from Actions in Latent World ModelsWorld models → Latent predictive world models
- RoboInter1.5: A Holistic Intermediate Representation Suite for Embodied World Modeling and Robotic ManipulationWorld models → Embodied and robot world models
- Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object PartsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Broken Gates: Re-evaluating Web Bot Defenses in the Age of LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Mark, Don't Erase: Token Inoculation for Dual-Use Knowledge in LLMsLLM safety and security → Safety alignment, refusal and guardrails
- Searching for Plans You Can Actually Build: A Realizability-Aware Full-Space Optimizer for MoE Training and ServingMixture-of-experts → Efficient MoE training and inference systems
- Norm or Direction? Decoding Vision Mambas for High-Resolution VisionState-space sequence models (S4, Mamba) → Vision Mamba backbones
- CPInj: Uncovering Prompt Injection Risks in Textual Collaborative Prompt OptimizationLLM safety and security → Prompt injection and agent security
- LatentMT: Machine Translation with Latent ReasoningLLM reasoning → Reasoning benchmarks and evaluation
All 352
- Stochastic Meta-Unlearning: Bridging Language Backbone and Multimodal UnlearningMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- When and Why Do Linear Bias Probes Fail? A Geometric and Statistical Theory of Bias Detectability in Large Language Model Representations
- Do small language models know what they don't know?
- Stop Removing Stopwords: How an Inherited Preprocessing Default Distorts Legal Text-as-Data
- Integrated Optimization of Automated Warehouse Operations and Last-Mile Transport for Differentiated On-Demand Delivery
- CompileRover: Revolutionizing Virtual Machine Compiler Optimization with a Tri-Role LLM-Driven Framework
- Instrument Classification of Solo Sheet Music Images
- PinDCO: Whole-Page Aware Dynamic Creative Optimization at Scale
- Automatic Speech Recognition for Multilingual Oral History Research
- UIC-AIHealth4All at ArchEHR-QA 2026: Answer-First Evidence Grounding for Clinical Question Answering
- LLMs in Process Diagram Engineering: From Optimal PFDs to Validated P&IDs
- From Monolithic to Modular: Segment-level Automatic Prompt Optimization
- The Knowing-Saying Gap: When Probes See Errors that Confidence Misses
- DocAtlas: Long-Document Understanding as Mutable-State Interaction
- Neural network realization of binary refinement iterates via a two-chart atlas selector
- Fast Generation of Representative Synthetic Dataset with Salsa to Train ATR Models with Electromagnetic Couplings Data-Augmentation
- XL-DocBench: Benchmarking Evidence-Grounded Extra-Long Document Understanding
- Stronger Memory-Query Tradeoffs for Convex Optimization: The Limitations of Subquadratic Memory
- CausalGate: Causal Importance Distillation for Transformer Module Pruning
- γ-Bridge: A Look-Parametric Diffusion Bridge
- TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians
- Real-Time Semantic Segmentation with Optimized RetinaNet Architectures for Embedded Automotive Systems
- scMIR: a vision-language foundation model for single-cell light microscopy image representation
- Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning
- Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations
- Tool-Guided Retrieval-Augmented Repair for Securing LLM-Generated C Code
- Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning
- Adaptive Capitulation: A Structural Failure Mode of LLM Responses in Vulnerability Contexts
- HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems
- Pathologist Attention-Aligned Report Generation for Prostate Histopathology
- From Bit-Position Sensitivity to Unequal Error Protection for DNN Inference Memory
- Understanding Developer Pain Points in Federated Learning: Insights from Stack Overflow and GitHub
- SCPP: A Unified Python Library for Soft Clustering
- Causal dictionary learning reveals and validates transcription-factor binding features in genomic language models
- EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing
- The Mechanism Matters: When Knowledge Graphs Help Reinforcement Learning
- CRB-Driven Beamforming and Trajectory Optimization for UAV-assisted ISAC System
- Task Competence Is Not Instruction Following: Evaluating Instruction-Conflicting Behavior in Small Language Models
- Juxtaposition of Shallow Reservoir-Triggered Seismicity and Deep Tectonic Locking in the Qiaojia-Dongchuan Seismic Gap
- Scaling Laws for Hypernetwork-Based Knowledge Injection in Large Language Models
- Deep Shape Regression for Planar Curves with Multimodal Covariates
- A Deep Learning Framework for Predicting Solar EUV Irradiance During Significant Flares
- End-to-End Differential Privacy in Training Deep Neural Network Classifiers
- VQ-Transplant: Efficient VQ-Module Integration for Pre-trained Visual Tokenizers
- On the Computational Complexity of Structural Generalization
- Machine-learned syndrome post-selection for reliable quantum error correction
- Online Optimization of Difference-of-Convex Compositions with Smooth Mappings
- Agent-Centric Animal Pose Forecasting
- RELTA-SGLD: Relative-Growth Localized Taming for Nonconvex Stochastic-Gradient Langevin Learning
- Synthetic and Derived Training Images for Campus Waste Detection: A Multi-Seed Evaluation with YOLOv8n
- Trustworthy Privacy-Preserving Multimodal Federated Learning for Personalised Breast Cancer Prediction
- Equilibrium Causal Games: Separation, Identification, and the Identifiability of Cyclic Latent States
- The C-index illusion: discrimination without calibration in published survival models
- SynPre-FL: Synthetic data-driven pretraining integrated Federated Learning training framework
- Geospatial Diffusion-based Evolution Synthesis (GeoDES) for Storm-Centered Weather Augmentation
- Boltzmann-Expected Molecular Design with Decoupled Annealing Flows
- Sophisticated Policies from Epistemic Priors
- Crowd4D: Scene-Aware Monocular 4D Crowd Reconstruction
- BLUE: Semantics-Preserving Video Compression for Efficient Vision-Language Surveillance Analytics
- Do Sheaf Neural Networks Use Holonomy? A Measure--Intervene--Control Study
- Total Variation Distance Estimation in Autoregressive Models
- Hybrid LLM-Guided Search for Quantum Reservoir Architecture Design
- Tensor Network Machine Learning for Wildfire Susceptibility Mapping: from Grokking Dynamics to Quantum Mixedness of Class Representations
- A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling
- Integrity of peer-to-peer distributed LLM inference under malicious nodes
- ModPack: Extensible Teleoperation Interface for Bimanual Mobile Manipulation
- Detect Early, Escalate Rarely: Anytime Detection of AI-Generated Video from the Compressed Bitstream
- Generating Bearing Vibration Signals at User-Specified Fault Probabilities Using PR-GAN and Counterfactual Methods
- Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models
- Marine Engine Fault Dataset: Open-Access Data under Controlled Reference and Fault Scenario Conditions
- Group-of-Latents: Perceptual Video Compression at Extreme Bitrates via Masked Latent Generative Modeling
- 1-Lipschitz Neural Networks on Hadamard Manifolds
- Fundamental limits of distributed multiclass classification from simple binary decisions
- Associative Emotional Learning in Convolutional Neural Networks
- InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation
- Two-Level Meta-Rubrics for Evaluating Open-Ended Generation: GAMUT, a Benchmark for Factual Completeness
- ResearchArena: Evaluating Sabotage and Monitoring in Automated AI R&D
- CircuitKIT : Circuit Discovery, Evaluation, and Application Toolkit for Mechanistic Interpretability
- ERank in Latent Space as an Image-Complexity and Richness Measure
- Staypoint Detection from Noisy Trajectory Data [Experiment Paper]
- From Distances to Trajectories: Real-Time Signed Distance Function Mapping and Distance-Accelerated Motion Planning for UAVs
- Riemannian Deep Learning: Modules, Networks, and Geometries
- Real-time optimal control with shallow recurrent decoder networks
- LLM Detection as an Intervention: Downstream Impact under Strategic User Behavior
- The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems
- A Reinforcement-Learning-Augmented Liquid-Fueled Reactor Network Model for Predicting Lean Blowout in Gas Turbine Combustors
- GUIDED Network-Agnostic Feature Initialization for Spatial Transferability in GNN-based Models
- They'll Verify. They Just Won't Act. How Authority Framing and Laundered Code Turn a Trusted Agentic CI/CD Pipeline Into an Attack Surface
- Toward Auditable Fraud Detection: Combining Graph Features, Model Explanations, and Agentic Case Investigation
- Benchmarking Generalization in Financial Statement Fraud Detection: robust evaluation and novel tasks
- Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models
- Sequential Learner Modeling Using Multi-Relational Graph Convolutional Networks
- Thermodynamics-Informed Input Reparameterization for Neural Prediction of Real-Fluid Thermodynamic Properties in Supercritical Combustion
- DBMol: Design of High-Affinity, Target-Specific Small Molecules through Structure Prediction Models
- In-Context Time Series Classification with Random Convolutional Features
- S3: Stable Subgoal Selection by Constraining Uncertainty of Coarse Dynamics in Hierarchical Reinforcement Learning
- Selection Shapes the Boundary: A Preregistered Replication of Monotonicity and Label Agreement in Unselected NLI Populations
- IGGT4D: Streaming 4D Instance-Grounded Geometry Transformer
- Beyond Score Prediction: LLM-Based Essay Scoring and Feedback Generation via Reinforcement Learning with Rubric Rewards
- Computing on the Fly: Navigating a Vision for the Future of Drone Computing
- Anatomy-Aware 3D Mesh Refinement of Pericardium Segmentations on Computed Tomography
- Assessment in Team Problem-Solving Exercises in Computing Education
- Some cautionary tales about Bayesian predictive inference
- MIRA-Ev:A Benchmark for Granular Evidence Detection and Relational Reasoning in Clinical Exams
- ATLAS: A Foundation Neural Sampler for Amorphous Materials
- Free energy landscape of Dense Associative Memory
- Automated Extraction of Techno-Economic Data from 76,000 Energy System Studies
- Neural Kolmogorov Equations: Parallelizable Learning of Stochastic Dynamics under General Noise
- Point Ladder Tuning: Parameter-Efficient Hierarchical Adaptation for 3D Point Cloud Understanding
- Boundary-Adapted PINNs for Elliptic Dirichlet Problems: H2(Omega) A Priori Error Bounds with Application to Mean Escape Time Computation
- On the sensitivity of machine-learned probabilistic weather forecast models to scale-aware scoring rules
- Breaking the Homogeneity Assumption: Specialized Multi-Generator Adversarial Learning for Rare Failure Detection in Predictive Maintenance
- Incomplete Observations Boost Evolutionary Performance in Ocean Modeling
- Sarus: Privacy-Preserving Multi-Vendor Perception Fusion via Homomorphic Encryption
- MIRAGE: Multi-scale Lesion-Informed Representation with Auxiliary Guidance for MRI Contrast Enhancement
- Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification
- Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning
- CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval
- Predicting Activities in Aqueous Electrolyte Solutions with Hybrid Machine Learning
- GATE-3D: Geometry-Aware Test-time Adaptive Reranking for Open-Set 3D Shape Retrieval
- OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation
- SciCodePile: A 128GB Corpus and Executable Benchmark for Challenging Scientific Code Generation
- Translation as Augmentation: Effect of Translated Data on Assessment of Difficulty
- FlexiAvatar: Unified 3D Gaussian Human Avatars Under Arbitrary Body Visibility
- Supra Cognitive Modes: A Routed Architecture for Agent Memory
- An unsupervised clustering analysis of breast cancer data derived from electronic health records enhanced through UMAP dimensionality reduction
- Advancing Multimodal Fusion on Heterogeneous Medical Data with Hybrid Geometry Attention
- GEqTrain: A Configuration-Driven Framework for Retargeting Equivariant Graph Neural Networks Across 3D Scientific Tasks
- Wavefront Parallelization for Efficient Learned Image Compression
- Context-structured Video Anomaly Detection with Large Vision-Language Models
- From Operations to Elderly Care Outcomes: A Thematic Review of Industrial Engineering and Decision-Support Approaches
- On the Effectiveness of Pretraining for Graph Combinatorial Optimization
- Delineate Anything v2: A Global Foundation Model for Field Delineation
- Quality Action Assurance: Multimodal Verification of Examiner Claims in VR OSCEs
- Now You See the Hate: Adaptive View Retrieval for Hidden Hateful Illusions
- Deep learning-based prediction of time-resolved adhesive forces in viscoelastic Hertzian contacts
- Vector-Bench: Can Models Surgically Edit SVG Code?
- Probabilistic Physics-Aware Machine Learning Predictions of Electric Truck Energy Consumption with Field Data
- Benchmarking Human and Automatic Speech Recognition of Diverse Speech: Initial Results
- Contrastive On-Policy Distillation
- Adopting Reinforcement Learning with Verifiable Rewards for Molecular Generation
- Spectral Higher-Order Neural Networks Have Sharp Expressivity Bounds
- Gaze-DETR: Top-Down Guidance Through Priority Maps for Infrared Weak-Small UAV Detection with DETR
- CoGoal3D: Collaborative 3D Object Detection with 3D-Aware Fusion and Refinement
- Content is What Remains: Invariant Speech Tokenization from Parallel Utterances
- IMMoE: Incomplete Multi-View Anomaly Detection via Mixture of View Experts Fusion
- Unsupervised Multi-kernel Learning for Automated Algorithm Selection
- Freezing the Physiological Encoder: Explanation Stability Under Bounded Updates of an ICU Model
- Subject-Conditioned Glucose Forecasting in Type-1 Diabetes
- The Tractability Landscape of Sampling with Inexact Scores
- Learning Semantic-Robust Change Detection via Semantic-Invariant Self-Distillation
- MedDDC-Eval: Diagnosis-Decoupled Evaluation of Multi-Turn Medical Consultation Agents
- Benchmarking Deep Learning Approaches for AEC Engineering Drawing Layout Detection and Information Extraction
- SWITi: Quantifying and Reducing Tiling Artifacts with Sliding Window Inner Tiling
- Athena-Brain Technical Report: An Efficient Robot Brain for General Intelligence and Embodied Interaction
- Disentangling Curriculum Learning in NLP: Towards a Unifying Taxonomy
- AutoJourn: Multi-Perspective Summarisation, Bias Detection and Bias Neutralisation for LLM-Generated News in Automated Journalism
- Mi-Memory: A Lifecycle Memory Framework for Personal AI
- Skillware: A Software Ontology and Engineering Lifecycle for Persistent Behavioral Artifacts
- Measuring Reward-Seeking via Contrastive Belief Updates
- Variational meta-learning inference for low dimensional neural system identification
- From Dependency to Compositionality: A Neurosymbolic Lifting of LLM Outputs via Combinatory Categorial Grammar
- SFGA: A Statistics-First Gating Architecture with Adjudicative Escalation for Trustworthy SFT Data Procurement
- Constrained CTC Decoding for Efficient Diacritic Restoration
- What General Intelligence Requires: Non-Reducible Constraints Across Levels of Description
- NGPS: GPS-Denied Aerial Geo-Localization and 2.5D Reconstruction via Deep Satellite Image Matching and Multi-Rate Sensor Fusion
- Transcription Policy as a Latent Variable: Activating Controllable Verbatim ASR with Word-Level Timing
- Functional Equivalence and Geometric Diversity in Neural Network Approximations: An Empirical Characterization
- OntoBook: Ontology-Grounded Synthetic Textbooks for Medical Encoder Pretraining
- Learning Explicit Physical Parameter Control and Benchmarking for Video Generation
- Visual Semantic Decoding of Electrocorticography from Video Stimuli using End-to-End Deep Learning
- Circuit Claims Depend on What Is Extracted and How It Is Compared
- From a Multilingual Streaming ASR Backbone to Kenyan-Language Systems: Data-Centric Adaptation of Nemotron 3.5 for Kikuyu, Dholuo, and Kalenjin
- Breaking Feedback-Blindness: Utility-Augmented Transformer for Sequential Decision Making
- Enhancing Transformer-based Routing by Encoding Distance via Relative Positional Encoding
- SynGallery: A Synthetic Gallery of Real Paintings for Instance-Level Artwork Recognition
- NaviAIS: A Scenario-Level Vessel Trajectory Prediction Dataset withVectorized Lane Priors and the NaviLane Forecasting Framework
- KALE: Kernel Alignment with Loss Equilibration for Stable CLIP-DINOv2 Alignment at Web Scale
- Public perceptions of AI-driven decision-making in healthcare: A structural equation modeling approach
- RAMP: Recognition parametrisation by Amortised Message Passing
- Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches
- Physics-Informed Super-Resolution of Atmospheric Data
- Wave2Body: Rethinking mmWave Human Pose Estimation as Radar-to-Body Token Translation
- Reinforcement Learning for Delivery Drone-Based Participatory Sensing in Dynamic Environments
- HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks
- Optimizing Regret
- Enhanced Neural Quantum State via Annealed Gradient Descent
- Reliability-Aware 3D Geometric Injection for Universal Person Re-identification
- Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals
- Think Sparse, Predict Dense: Continuous Thought Machines for Image Super-Resolution
- NSMA: Neuro-Symbolic Manifold Alignment for Generalizable Adaptive Bitrate Streaming under Texture Shift
- ABOPD: Antibody CDR Design via On-Policy Distillation
- From Trajectories to Instructions: Language-Conditioned Meta-Reinforcement Learning
- Countercurrent Multiplier Networks: A Renal-Inspired Iterative Operator with Provably Bounded Fixed-Point Dynamics
- Evaluating medical AI under missing information: same-provider judges and human raters change apparent safety
- Open-Vocabulary Gaze Object Prediction: Benchmark and Method
- AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System
- Algebraic Signatures for Structural Learning in Probability Tensors
- Elicitation without Backpropagation: Steering Model Behavior by Optimizing the Latent Posterior
- QScheduler: Adaptive Gradient Sampling for Zeroth-Order On-Device Training on INT8 NPUs
- ZeroSplat: Generalized Referring Segmentation in 3D Gaussian Splatting
- UVFaceFusion: Fast Multi-view Topologically Consistent Face Reconstruction in the Wild via UV-space Neural Fusion
- Measuring AI innovation with trademark data
- STS-NET: Spatio-Temporal Stress Network for Self-Supervised Crop Stress Detection using Satellite Image Time Series
- Moving Alphabet: A Controlled Study of Training Data for Text-to-Video Generation
- Image Editing Models are Numerical Solvers
- CGMap: A Geospatially Aware Deep Learning Framework for Crop Gap Mapping Using UAV
- Formulation-Level Auto-Tuning for QUBO-Based Machine Learning: A Case Study Across Multiple Quantum-Inspired Annealers
- Privileged Lesion-Context Relational Distillation for Mask-Free Skin Lesion Classification
- GLID: Gated Local Intrinsic Dimension Repairs the Blind Spots of Face-Forgery Detectors
- Cross-Modal UAV Object Tracking: State-Aware Representation Learning and A Unified Benchmark
- Bounding Boxes to Improve Small Language Model Performance on Vision-Based Grading Tasks
- Posterior Samplings are Missing Modalities Generators for Medical Image Translation
- Weakly Supervised Pathology-Informed Representation Learning for PET-Based Content Retrieval of Intra-Tumour Heterogeneity
- Relative Positions Generalize, Absolute Positions Memorize: An Implicit-Bias Account of Length Generalization in Attention
- Decafs: Disentangled Conditional adversarial Flows
- Is EEG-to-Text Feasible in Real-World Scenarios? An In-Depth Analysis Using a Neuropsychology-Inspired Benchmark
- ConceptCF: Concept-based Counterfactuals for the Explainability of Time Series
- SkyEV: RGB-Event UAV detection and tracking dataset and baseline
- Contraction-Gauge Preconditioning for Quantized Matrix Multiplication
- Uncertainty quantification in mechanics: A unified Bayesian perspective
- Dual Attention Residuals
- Find Before You Fine-Tune: A Diagnostic Study of Small LLMs for Cybersecurity QA
- One Rewrite to Fix Them All? Type-Aware Repair Allocation for Text-to-Image Prompt Optimization
- Strategy-Following Multi-Agent Deep Reinforcement Learning Considering Control Strategies Provided to Other Agents
- Confidence-Gated Vision-Only Heading Alignment for UAV-UGV Cooperative Systems
- What the Waveform Knows: Transparent-first Speech and Audio Intelligence with Caption Studio
- Generative World Renderer at the Speed of Play
- Decoupled Pipeline with Proposal Reranking and Score Fusion for Positive-Unlabeled Marine Species Detection
- Do AI-Native Biotechs Need Departments? Benchmarking Company World Models for AI-Driven Drug Development
- Rationale-Guided Knowledge Distillation for Cross-Lingual Stance Detection
- Semantic Primes as Explanans for Emotion in Large Language Models
- Exposure-Based Reinforcement Learning to Rank
- Dual-Edged Homogeneous-Modality Similarity: Towards Visible-Infrared Modality-Incomplete Person Re-Identification with Modality Adaptive Matching
- Cross-Dataset Generalization in Breast MRI Tumor Classification via Class-Wise Dataset Mixing
- Fusion Embedding: A Unified Embedding Space for Text, Image, Video, and Audio
- SciHazard: A Benchmark for Measuring Scientific Safety Risks with Decomposed Harm Scoring
- DeforM: Reasoning-Guided Physics-Aware Video Generation via Spatial-Temporal Masking
- The Price of Hidden Curvature: Improved Lower Bounds for Bandit Convex Optimization
- Fluid-SDF: Ultra-Lightweight and Editable Implicit Shape Representation via Differentiable Primitives
- Spaghetti Architect: A Contamination-Resistant, By-Construction-Labelled, Multi-Language Code Dataset Generator
- Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs
- End-to-end Conditional Diffusion for Realistic and Controllable Visual Traffic Scenario Generation
- Graph Neural Network-based Algorithm Selection for the Traveling Salesman Problem: A Systematic Study of Cost and Rank Losses under Distinct Budget Regimes
- OPERA: Object Perception Enhances Single-view 3D Reconstruction
- PLAID-PRF: Pseudo-Relevance Feedback with Centroid-like Tokens in PLAID
- Temporal-Causal Unity as an Operational Framework for Collective Dynamics: Causal-Progress Clocks, Synchronization, and Polarization
- Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation
- Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach
- AutoIndex: Learning Representation Programs for Retrieval
- BRIDGE: Bottleneck-Aware Regulator-Set Inference and Diagnosis for Cooperative Gene Regulatory Recovery
- A Self-Evolving Default Action for Cooperative Tasks with Continuous Action Space