Papers
Tue 23 Dec 2025
282 papers
- Domain-Partitioned Hybrid RAG for Legal Reasoning: Toward Modular and Explainable Legal AI for IndiaLLM reasoning → Reasoning for agents, planning and code +1
- Energy-Efficient Omnidirectional Locomotion for Wheeled Quadrupeds via Predictive Energy-Aware Nominal Gait SelectionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Energy-Aware Routing to Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty EstimationMechanistic interpretability → Probing deception, bias and beliefs
- Multi-objective hybrid knowledge distillation for efficient deep learning in smart agricultureKnowledge distillation → Detection and dense prediction distillation
- Masking Teacher and Reinforcing Student for Distilling Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Meta-information Guided Cross-domain Synergistic Diffusion Model for Low-dose PET ReconstructionDiffusion models → Medical imaging and segmentation
- DiRL: An Efficient Post-Training Framework for Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- VideoScaffold: Elastic-Scale Visual Hierarchies for Streaming Video Understanding in MLLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- From Visual Perception to Deep Empathy: An Automated Assessment Framework for House-Tree-Person Drawings Using Multimodal LLMs and Multi-Agent CollaborationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic ReasoningLLM reasoning → Test-time compute and efficient thinking +3
- MAR:Multi-Agent Reflexion Improves Reasoning Abilities in LLMsLLM reasoning → Reasoning for agents, planning and code +1
- Input-Adaptive Visual Preprocessing for Efficient Fast Vision-Language Model InferenceLLM reasoning → Multimodal reasoning +1
- Context-Sensitive Abstractions for Reinforcement Learning with Parameterized ActionsDeep reinforcement learning methods → Deep RL algorithms and representations
- MediEval: A Unified Medical Benchmark for Patient-Contextual and Knowledge-Grounded Reasoning in LLMsLLM reasoning → Clinical and biomedical applications
- Divided We Fall: Defending Against Adversarial Attacks via Soft-Gated Fractional Mixture-of-Experts with Randomized Adversarial TrainingMixture-of-experts → Vision mixture-of-experts
- Learning to Sense for Driving: Joint Optics-Sensor-Model Co-Design for Semantic SegmentationEnd-to-end autonomous driving → VLMs for autonomous driving
- Semantic Deception: When Reasoning Models Can't Compute an AdditionLLM reasoning → Reasoning benchmarks and evaluation
- Safety Alignment of LMs via Non-cooperative GamesLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- A Benchmark for Evaluating Outcome-Driven Constraint Violations in Autonomous AI AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Investigating Model Editing for Unlearning in Large Language ModelsLLM safety and security → Machine unlearning
- X-GridAgent: An LLM-Powered Agentic AI System for Assisting Power Grid AnalysisLLM agents and tool use → Financial trading and forecasting agents
- Soft Filtering: Guiding Zero-shot Composed Image Retrieval with Prescriptive and Proscriptive ConstraintsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Generalization of RLVR Using Causal Reasoning as a TestbedLLM reasoning → Reinforcement learning for reasoning
- Bridging Efficiency and Safety: Formal Verification of Neural Networks with Early ExitsEfficient LLM inference and serving → Early exit and edge inference
- AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented AgentLLM reasoning → Reasoning for agents, planning and code +1
- VL4Gaze: Unleashing Vision-Language Models for Gaze FollowingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- FEM-Bench: A Structured Scientific Reasoning Benchmark for Evaluating Code-Generating LLMsLLM reasoning → Spatial and embodied reasoning
- SemanticGen: Video Generation in Semantic SpaceDiffusion models → Video generation
- LongVideoAgent: Multi-Agent Reasoning with Long VideosLLM reasoning → Multimodal reasoning +2
- Active Intelligence in Video Avatars via Closed-loop World ModelingWorld models → Video-generation world models and simulators
- Probing and Leveraging Video Diffusion Transformer Features for Robust Point TrackingDiffusion models → Video generation
- Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learningDeep reinforcement learning methods → Deep RL algorithms and representations
- MoE-DiffuSeq: Enhancing Long-Document Diffusion Models with Sparse Attention and Mixture of ExpertsDiffusion models → Discrete and text diffusion +1
- Cube Bench: A Benchmark for Spatial Visual Reasoning in MLLMsLLM reasoning → Spatial and embodied reasoning +1
- Leveraging High-Fidelity Digital Models and Reinforcement Learning for Mission Engineering: A Case Study of Aerial Firefighting Under Perfect InformationDeep reinforcement learning methods → RL for robot navigation and UAV control
- Automated stereotactic radiosurgery planning using a human-in-the-loop reasoning large language model agentLLM reasoning → Clinical and biomedical applications +1
- Performative Policy Gradient: Optimality in Performative Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Fail Fast, Win Big: Rethinking the Drafting Strategy in Speculative Decoding via Diffusion LLMsLLM reasoning → Test-time compute and efficient thinking +1
- LEAD: Minimizing Learner-Expert Asymmetry in End-to-End DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- FlashVLM: Text-Guided Visual Token Selection for Large Multimodal ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Learning to Reason in 4D: Dynamic Spatial Understanding for Vision Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- ARBITER: AI-Driven Filtering for Role-Based Access ControlRetrieval-augmented generation → Privacy and security of RAG
- Recurrent Off-Policy Deep Reinforcement Learning Doesn't Have to be SlowDeep reinforcement learning methods → Deep RL algorithms and representations
- Bohrium + SciMaster: Building the Infrastructure and Ecosystem for Agentic Science at ScaleLLM agents and tool use → Web, search, and research agents
- Laser: Governing Long-Horizon Agentic Search via Structured Protocol and Context RegisterLLM reasoning → Reasoning for agents, planning and code +1
- Chain-of-Anomaly Thoughts with Large Vision-Language ModelsLLM reasoning → Chain-of-thought reasoning for driving +1
- ChatGPT: Excellent Paper! Accept It. Editor: Imposter Found! Review RejectedLLM safety and security → Prompt injection and agent security
- Identifying Appropriately-Sized Services with Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- CRAFT: Continuous Reasoning and Agentic Feedback Tuning for Multimodal Text-to-Image GenerationLLM reasoning → Multimodal reasoning +1
- The devil is in the details: Enhancing Video Virtual Try-On via Keyframe-Driven Details InjectionDiffusion models → 3D, point cloud and scene generation
- Branch Learning in MRI: More Data, More Models, More TrainingMixture-of-experts → Medical and biomedical MoE
- Can LLMs Solve My Grandma's Riddle? Evaluating Multilingual Large Language Models on Reasoning Traditional Bangla Tricky RiddlesLLM reasoning → Reasoning benchmarks and evaluation
- LP-CFM: Perceptual Invariance-Aware Conditional Flow Matching for Speech ModelingDiffusion models → Audio, speech and music
- TableGPT-R1: Advancing Tabular Reasoning Through Reinforcement LearningLLM reasoning → Knowledge- and tool-augmented reasoning
- Structured Visualization Design Knowledge for Grounding Generative Reasoning and Situated FeedbackLLM reasoning → Multimodal reasoning
- AprielGuardLLM agents and tool use → Agent threats, guardrails and governance +1
- Mixture-of-Experts with Gradient Conflict-Driven Subspace Topology Pruning for Emergent ModularityMixture-of-experts → Expert routing strategies
- Synthesizing Procedural Memory: Challenges and Architectures in Automated Workflow GenerationLLM agents and tool use → Agent memory systems
- ActionFlow: A Pipelined Action Acceleration for Vision Language Models on EdgeMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Graph-Symbolic Policy Enforcement and Control (G-SPEC): A Neuro-Symbolic Framework for Safe Agentic AI in 5G Autonomous NetworksLLM agents and tool use → Agentic AI for wireless networks
- MemR3: Memory Retrieval via Reflective Reasoning for LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- How I Met Your Bias: Investigating Bias Amplification in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Generalisation in Multitask Fitted Q-Iteration and Offline Q-learningDeep reinforcement learning methods → Deep RL algorithms and representations
- Predictive-LoRA: A Proactive and Fragmentation-Aware Serverless Inference System for LLMsEfficient LLM inference and serving → Serving systems and request scheduling
- TongSIM: A General Platform for Simulating Intelligent MachinesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Asynchronous Fast-Slow Vision-Language-Action Policies for Whole-Body Robotic ManipulationLLM reasoning → Spatial and embodied reasoning +2
- FaithLens: Detecting and Explaining Faithfulness HallucinationRetrieval-augmented generation → Hallucination detection in RAG
- Offline Safe Policy Optimization From Heterogeneous FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Learning to Reason in LLMs by Expectation MaximizationLLM reasoning → Test-time compute and efficient thinking
- Odysseus: Jailbreaking Commercial Multimodal LLM-integrated Systems via Dual SteganographyMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- SigLino: Efficient Multi-Teacher Distillation for Agglomerative Vision Foundation ModelsMixture-of-experts → Vision mixture-of-experts
- CoDi -- an exemplar-conditioned diffusion model for low-shot countingDiffusion models → Image generation, text-to-image and editing
- Retrieval-augmented Prompt Learning for Pre-trained Foundation ModelsRetrieval-augmented generation → Generation and context integration
- Multi-hop Reasoning via Early Knowledge AlignmentLLM reasoning → Knowledge- and tool-augmented reasoning +1
- M3KG-RAG: Multi-hop Multimodal Knowledge Graph-enhanced Retrieval-Augmented GenerationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- MolAct: An Agentic RL Framework for Molecular Editing and Property OptimizationLLM agents and tool use → Medical and scientific domain agents
- milliMamba: Specular-Aware Human Pose Estimation via Dual mmWave Radar with Multi-Frame Mamba FusionState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- HEART-VIT: Hessian-Guided Efficient Dynamic Attention and Token Pruning in Vision TransformerEfficient LLM inference and serving → Token pruning and merging for ViTs
- Sample-Efficient Policy Constraint Offline Deep Reinforcement Learning based on Sample FilteringOffline RL and imitation learning from data → Offline RL algorithms
- Generative Spectrum Cartography: Unified Reconstruction and Active Sensing via Diffusion ModelsDiffusion models → Inverse problems and image restoration
- LiDARDraft: Generating LiDAR Point Cloud from Versatile InputsWorld models → World modeling from LiDAR generation
- Memory-T1: Reinforcement Learning for Temporal Reasoning in Multi-session AgentsLLM reasoning → Reasoning for agents, planning and code
- Reason2Decide: Rationale-Driven Multi-Task LearningLLM reasoning → Clinical and biomedical applications
- An Optimal Policy for Learning Controllable Dynamics by ExplorationDeep reinforcement learning methods → RL theory and sample complexity
- Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive PromptingVision-language-action models → Reasoning and chain-of-thought in VLA
- Control Variate Score Matching for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Few-Shot-Based Modular Image-to-Video Adapter for Diffusion ModelsDiffusion models → Video generation
- Schoenfeld's Anatomy of Mathematical Reasoning by Language ModelsLLM reasoning → Mathematical reasoning
- Toward General Semantic Chunking: A Discriminative Framework for Ultra-Long Documents
- From Textbook to Talkbot: A Case Study of a Greek-Language RAG-Based Chatbot in Higher Education
- DeepEvidence: Empowering Biomedical Discovery with Deep Knowledge Graph Research
- Multi-Level Embedding Conformer Framework for Bengali Automatic Speech Recognition
- M'as contexto no es mejor. Paradoja de la diluci'on vectorial en RAG corporativos
- AI Application Operations -- A Socio-Technical Framework for Data-driven Organizations
- Why Slop Matters
- Context Video Semantic Transmission with Variable Length and Rate Coding over MIMO Channels
- Base Station Deployment under EMF constrain by Deep Reinforcement learning
- Fidelity Before Structure: Verbatim Chunks Beat Lossy Artifact Extraction in Long-Conversation LLM Memory
- Predicting Mycotoxin Contamination in Irish Oats Using Deep and Transfer Learning
All 282
- Fairness Evaluation of Risk Estimation Models for Lung Cancer Screening
- Enhanced geometry prediction in laser directed energy deposition using meta-learning
- EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs
- We are not able to identify AI-generated images
- Scalable Cloud-Native Architectures for Intelligent PMU Data Processing
- KAN-FPN-Stem:A KAN-Enhanced Feature Pyramid Stem for Boosting ViT-based Pose Estimation
- Probing Spectrum-Like Organization of States of Mind in Transformer Representation Spaces
- Literature Mining System for Nutraceutical Biosynthesis: From AI Framework to Biological Insight
- ReGAIN: Retrieval-Grounded AI Framework for Network Traffic Analysis
- A Study of Solving Life-and-Death Problems in Go Using Relevance-Zone Based Solvers
- CHAMMI-75: Pre-training multi-channel models with heterogeneous microscopy images
- NotSoTiny: A Large, Living Benchmark for RTL Code Generation
- EssayCBM: Rubric-Aligned Concept Bottleneck Models for Transparent Essay Grading
- FedMPDD: Communication-Efficient Federated Learning with Privacy Preservation Attributes via Projected Directional Derivative
- GraphFire-X: Physics-Informed Graph Attention Networks and Structural Gradient Boosting for Building-Scale Wildfire Preparedness at the Wildland-Urban Interface
- Weighted MCC: A Robust Measure of Multiclass Classifier Performance for Observations with Individual Weights
- Measuring Mechanistic Independence: Can Bias Be Removed Without Erasing Demographics?
- Symbolic regression for defect interactions in 2D materials
- NULLBUS: Multimodal Mixed-Supervision for Breast Ultrasound Segmentation via Nullable Global-Local Prompts
- Large Language Models Approach Expert Pedagogical Quality in Math Tutoring but Differ in Instructional and Linguistic Profiles
- Towards Optimal Performance and Action Consistency Guarantees in Dec-POMDPs with Inconsistent Beliefs and Limited Communication
- Improving Matrix Exponential for Generative AI Flows: A Taylor-Based Approach Beyond Paterson--Stockmeyer
- DIAL: Direct Iterative Adversarial Learning for Realistic Multi-Turn Dialogue Simulation
- OccuFly: A 3D Vision Benchmark for Semantic Scene Completion from the Aerial Perspective
- Subgroup Discovery with the Cox Model
- TS-Arena -- A Live Forecast Pre-Registration Platform
- TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior
- Stabilizing Multimodal Autoencoders: A Theoretical and Empirical Analysis of Fusion Strategies
- A Physics Informed Neural Network For Deriving MHD State Vectors From Global Active Regions Observations
- TrashDet: Iterative Neural Architecture Search for Efficient Waste Detection
- AI-Driven Green Cognitive Radio Networks for Sustainable 6G Communication
- SA-DiffuSeq: Addressing Computational and Scalability Challenges in Long-Document Generation with Sparse Attention
- From artificial to organic: Rethinking the roots of intelligence for digital health
- From Pilots to Practices: A Scoping Review of GenAI-Enabled Personalization in Computer Science Education
- Real-World Adversarial Attacks on RF-Based Drone Detectors
- SpatialTree: How Spatial Abilities Branch Out in MLLMs
- Making Large Language Models Efficient Dense Retrievers
- FedPOD: the deployable units of training for federated learning
- Saddle-to-Saddle Dynamics Explains A Simplicity Bias Across Neural Network Architectures
- Relu and softplus neural nets as zero-sum turn-based games
- Can LLMs Predict Their Own Failures? Self-Awareness via Internal Circuits
- Improving ML Training Data with Gold-Standard Quality Metrics
- Distilling to Hybrid Attention Models via KL-Guided Layer Selection
- Random Gradient-Free Optimization in Infinite Dimensional Spaces
- Shallow Neural Networks Learn Low-Degree Spherical Polynomials with Feature Learning by Learnable Channel Attention
- Multi-Grained Text-Guided Image Fusion for Multi-Exposure and Multi-Focus Scenarios
- Information-theoretic signatures of causality in Bayesian networks and hypergraphs
- Advancing Multimodal Teacher Sentiment Analysis:The Large-Scale T-MED Dataset & The Effective AAM-TSA Model
- AlignPose: Generalizable 6D Pose Estimation via Multi-view Feature-metric Alignment
- Over-the-Air Goal-Oriented Communications
- SirenPose: Dynamic Scene Reconstruction via Geometric Supervision
- ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation
- Benchmarking LLMs for Predictive Applications in the Intensive Care Units
- Explainable time-series forecasting with sampling-free SHAP for Transformers
- Bridging Modalities and Transferring Knowledge: Enhanced Multimodal Understanding and Recognition
- Step-DeepResearch Technical Report
- Multi-temporal Adaptive Red-Green-Blue and Long-Wave Infrared Fusion for You Only Look Once-Based Landmine Detection from Unmanned Aerial Systems
- SweRank+: Multilingual, Multi-Turn Code Ranking for Software Issue Localization
- Coherence in the brain unfolds across separable temporal regimes
- UTDesign: A Unified Framework for Stylized Text Editing and Generation in Graphic Design Images
- Snapshot 3D image projection using a diffractive decoder
- The Aligned Economic Index & The State Switching Model
- Beyond Motion Pattern: An Empirical Study of Physical Forces for Human Motion Understanding
- Machine Learning to Predict Digital Frustration from Clickstream Data
- Dual-Encoder Transformer-Based Multimodal Learning for Ischemic Stroke Lesion Segmentation Using Diffusion MRI
- High Dimensional Data Decomposition for Anomaly Detection of Textured Images
- Skin Lesion Classification Using a Soft Voting Ensemble of Convolutional Neural Networks
- Evasion-Resilient Detection of DNS-over-HTTPS Data Exfiltration: A Practical Evaluation and Toolkit
- Simplifying Multi-Task Architectures Through Task-Specific Normalization
- DETACH : Decomposed Spatio-Temporal Alignment for Exocentric Video and Ambient Sensors with Staged Learning
- AUDRON: A Deep Learning Framework with Fused Acoustic Signatures for Drone Type Recognition
- Sentiment-Aware Extractive and Abstractive Summarization for Unstructured Text Mining
- BRIDGE: Budget-aware Reasoning via Intermediate Distillation with Guided Examples
- GeoTransolver: Learning Physics on Irregular Domains Using Multi-scale Geometry Aware Physics Attention Transformer
- Generative Digital Twins: Vision-Language Simulation Models for Executable Industrial Systems
- SmartSplat: Feature-Smart Gaussians for Scalable Compression of Ultra-High-Resolution Images
- Linking Faces and Voices Across Languages: Insights from the FAME 2026 Challenge
- CLIP Based Region-Aware Feature Fusion for Automated BBPS Scoring in Colonoscopy Images
- Avoiding the Price of Adaptivity: Inference in Linear Contextual Bandits via Stability
- Clust-PSI-PFL: A Population Stability Index Approach for Clustered Non-IID Personalized Federated Learning
- Multi-LLM Thematic Analysis with Dual Reliability Metrics: Combining Cohen's Kappa and Semantic Similarity for Qualitative Research Validation
- Field-Space Attention for Structure-Preserving Earth System Transformers
- Physics-guided Neural Network-based Shaft Power Prediction for Vessels
- Inverse Autoregressive Flows for Zero Degree Calorimeter fast simulation
- A DeepSeek-Powered AI System for Automated Chest Radiograph Interpretation in Clinical Practice
- SynCraft: Guiding Large Language Models to Predict Edit Sequences for Molecular Synthesizability Optimization
- FedDPC : Handling Data Heterogeneity and Partial Client Participation in Federated Learning
- Toward Explaining Large Language Models in Software Engineering Tasks
- Top-K Exterior Power Persistent Homology: Algorithm, Structure, and Stability
- Deep Learning Classification of EEG Responses to Multi-Dimensional Transcranial Electrical Stimulation
- Algorithm for Interpretable Graph Features via Motivic Persistent Cohomology
- SpidR: Learning Fast and Stable Linguistic Units for Spoken Language Models Without Supervision
- A Structured Nonparametric Framework for Nonlinear Accelerated Failure Time Models (KAN-AFT)
- KnowVal: A Knowledge-Augmented and Value-Guided Autonomous Driving System
- Patterns vs. Patients: Evaluating LLMs against Mental Health Professionals on Personality Disorder Diagnosis through First-Person Narratives
- TAVID: Text-Driven Audio-Visual Interactive Dialogue Generation
- SlideTailor: Personalized Presentation Slide Generation for Scientific Papers
- UbiQVision: Quantifying Uncertainty in XAI for Image Recognition
- HGAN-SDEs: Learning Neural Stochastic Differential Equations with Hermite-Guided Adversarial Training
- Optimality-Informed Neural Networks for Solving Parametric Optimization Problems
- DeepONet-accelerated Bayesian inversion for moving boundary problems
- Debate-Enhanced Pseudo Labeling and Frequency-Aware Progressive Debiasing for Weakly-Supervised Camouflaged Object Detection with Scribble Annotations
- A parameter-efficient three-branch architecture for multimodal misinformation detection with limited annotations
- BiCoR-Seg: Bidirectional Co-Refinement Framework for High-Resolution Remote Sensing Image Segmentation
- Degradation-Aware Metric Prompting for Hyperspectral Image Restoration
- Unified Multimodal Brain Decoding via Cross-Subject Soft-ROI Fusion
- Memory as Resonance: A Biomimetic Architecture for Infinite Context Memory on Ergodic Phonetic Manifolds
- IndicDLP: A Foundational Dataset for Multi-Lingual and Multi-Domain Document Layout Parsing
- Adaptive Multi-task Learning for Probabilistic Load Forecasting
- Cost-TrustFL: Cost-Aware Hierarchical Federated Learning with Lightweight Reputation Evaluation across Multi-Cloud
- LiteFusion: Taming 3D Object Detectors from Vision-Based to Multi-Modal with Minimal Adaptation
- JDPNet: A Network Based on Joint Degradation Processing for Underwater Image Enhancement
- Corpus of Cross-lingual Dialogues with Minutes and Detection of Misunderstandings
- Generative Latent Coding for Ultra-Low Bitrate Image Compression
- NeuralCrop: Combining physics and machine learning for improved crop yield projections
- Towards Natural Language-Based Document Image Retrieval: New Dataset and Benchmark
- AI Security Beyond Core Domains: Resume Screening as a Case Study of Adversarial Vulnerabilities in Specialized LLM Applications
- Concept Generalization in Humans and Large Language Models: Insights from the Number Game
- A Bidirectional Gated Recurrent Unit Model for PUE Prediction in Data Centers
- Benchmarking Code LLM-as-a-Judge via Constrained Perturbation and Calibration
- Fun-Audio-Chat Technical Report
- Enhancing annotations for 5D apple pose estimation through 3D Gaussian Splatting (3DGS)
- Enhancing Zero-Shot Time Series Forecasting in Off-the-Shelf LLMs via Noise Injection
- Dreamcrafter: Immersive Editing of 3D Radiance Fields Through Flexible, Generative Inputs and Outputs
- Delayed Bidirectional Alignment via Disentangled Audio Semantics for Audio-Visual Segmentation
- Attention Fusion for Bridge Deck Delamination Detection
- Evolutionary Neural Architecture Search with Dual Contrastive Learning
- ABBEL: Learning Natural-Language Belief States for Memory-Efficient Interaction
- UMAMI: Unifying Masked Autoregressive Models and Deterministic Rendering for View Synthesis
- Effect of Activation Function and Model Optimizer on the Performance of Human Activity Recognition System Using Various Deep Learning Models
- A Novel Graph-Sequence Learning Model for Inductive Text Classification
- Information-directed sampling for bandits: a primer
- Jensen-Shannon Divergence Message-Passing for Rich-Text Graph Representation Learning
- Item Region-based Style Classification Network (IRSN): A Fashion Style Classifier Based on Domain Knowledge of Fashion Experts
- Spatio-Temporal Graphs Beyond Grids: Benchmark for Maritime Anomaly Detection
- QE-Catalytic: A Graph-Language Multimodal Base Model for Relaxed-Energy Prediction in Catalytic Adsorption
- Adaptive Financial Sentiment Analysis for NIFTY 50 via Instruction-Tuned LLMs , RAG and Reinforcement Learning Approaches
- CBA: Communication-Bound-Aware Cross-Domain Resource Assignment for Pipeline-Parallel Distributed LLM Training in Dynamic Multi-DC Optical Networks
- Progressive Learned Image Compression for Machine Perception
- PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models
- On the Effectiveness of Instruction-Tuning Local LLMs for Identifying Software Vulnerabilities
- Scaling Reinforcement Learning for Content Moderation with Large Language Models
- DS-HGCN: A Dual-Stream Hypergraph Convolutional Network for Predicting Student Engagement via Social Contagion
- Deep Eigenspace Network for Parametric Non-self-adjoint Eigenvalue Problems
- Structure-Preserving Nonlinear Sufficient Dimension Reduction for Tensors
- Towards Generative Location Awareness for Disaster Response: A Probabilistic Cross-view Geolocalization Approach
- Learning Skills from Action-Free Videos
- Generative Bayesian Hyperparameter Tuning
- Discovering Symmetry Groups with Flow Matching
- Beyond Vision: Contextually Enriched Image Captioning with Multi-Modal Retrieval
- Optimal Anytime-Valid Tests for Composite Nulls
- FlashLips: 100-FPS Mask-Free Latent Lip-Sync using Reconstruction Instead of Diffusion or GANs
- VALLR-Pin: Uncertainty-Factorized Visual Speech Recognition for Mandarin with Pinyin Guidance
- H2em: Learning Hierarchical Hyperbolic Embeddings for Compositional Zero-Shot Learning
- DecoKAN: Interpretable Decomposition for Forecasting Cryptocurrency Market Dynamics
- MAPI-GNN: Multi-Activation Plane Interaction Graph Neural Network for Multimodal Medical Diagnosis
- A Contextual Analysis of Driver-Facing and Dual-View Video Inputs for Distraction Detection in Naturalistic Driving Environments
- Gaussian Process Assisted Meta-learning for Image Classification and Object Detection Models
- SegEarth-R2: Towards Comprehensive Language-guided Segmentation for Remote Sensing Images
- Reliable LLM-Based Edge-Cloud-Expert Cascades for Telecom Knowledge Systems
- PaveSync: A Unified and Comprehensive Dataset for Pavement Distress Analysis and Classification
- Computationally efficient goodness-of-fit tests through kernelized Stein discrepancy
- Orthogonal Activation with Implicit Group-Aware Bias Learning for Class Imbalance
- IoT-based Android Malware Detection Using Graph Neural Network With Adversarial Defense
- LoFT-LLM: Low-Frequency Time-Series Forecasting with Large Language Models
- S3IT: A Benchmark for Spatially Situated Social Intelligence Test
- Bloom Filter Encoding for Machine Learning
- A Dual-Branch Local-Global Framework for Cross-Resolution Land Cover Mapping
- A Novel CNN Gradient Boosting Ensemble for Guava Disease Detection
- Covariance-Aware Simplex Projection for Cardinality-Constrained Portfolio Optimization
- WSD-MIL: Window Scale Decay Multiple Instance Learning for Whole Slide Image Classification
- Neuron-Guided Interpretation of Code LLMs: Where, Why, and How?
- Regression of Functions by Quantum Neural Networks Circuits
- Spatio-Temporal Graph Neural Networks for Dairy Farm Sustainability Forecasting and Counterfactual Policy Analysis
- FGDCC: Fine-Grained Deep Cluster Categorization -- A Framework for Intra-Class Variability Problems in Plant Classification
- Zero-Shot Segmentation through Prototype-Guidance for Multi-Label Plant Species Identification
- HistoWAS: A Pathomics Framework for Large-Scale Feature-Wide Association Studies of Tissue Topology and Patient Outcomes
- Bias Beneath the Tone: Empirical Characterisation of Tone Bias in LLM-Driven UX Systems
- How Much 3D Do Video Foundation Models Encode?
- SE360: Semantic Edit in 360^circ Panoramas via Hierarchical Data Construction
- Block-Recurrent Dynamics in Vision Transformers
- Interpolative Decoding: Exploring the Spectrum of Personality Traits in LLMs