Papers
Wed 3 Sep 2025
279 papers
- SOLD: SELFIES-based Objective-driven Latent DiffusionDiffusion models → Flow matching, time series and science
- Offline Contextual Bandit with Counterfactual Sample IdentificationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Adaptive Preference Optimization with Uncertainty-aware Utility AnchorLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction TuningMixture-of-experts → Expert routing strategies
- VLMs-in-the-Wild: Bridging the Gap Between Academic Benchmarks and Enterprise RealityMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- FedAPT: Federated Adversarial Prompt Tuning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- Advancing SLM Tool-Use Capability using Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
- RAGuard: A Novel Approach for in-context Safe Retrieval Augmented Generation for LLMsRetrieval-augmented generation → Agentic RAG, agents and memory
- CLIP-SVD: Efficient and Interpretable Vision-Language Adaptation via Singular ValuesMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Mechanistic Interpretability with Sparse Autoencoder Neural OperatorsMechanistic interpretability → Sparse autoencoder training and evaluation
- Are LLM Agents Behaviorally Coherent? Latent Profiles for Social SimulationLLM agents and tool use → Social simulation and multi-agent debate
- PersonaTeaming: Exploring How Introducing Personas Can Improve Automated AI Red-TeamingLLM safety and security → Prompt injection and agent security
- Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann SamplingDiffusion models → Flow matching, time series and science
- Avoidance of an unexpected obstacle without reinforcement learning: Why not using advanced control-theoretic tools?Deep reinforcement learning methods → Safe and constrained RL
- LuxDiT: Lighting Estimation with Video Diffusion TransformerDiffusion models → 3D, point cloud and scene generation
- SharedRep-RLHF: A Shared Representation Approach to RLHF with Diverse PreferencesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- AutoGrid AI: Deep Reinforcement Learning Framework for Autonomous Microgrid ManagementDeep reinforcement learning methods → RL for energy, networks and operations
- Efficient Virtuoso: A Latent Diffusion Transformer Model for Goal-Conditioned Trajectory PlanningDiffusion models → Diffusion and flow policies for robotics
- Breaking the Mirror: Activation-Based Mitigation of Self-Preference in LLM EvaluatorsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- Emergent Hierarchical Reasoning in LLMs through Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- Towards a Neurosymbolic Reasoning System Grounded in Schematic RepresentationsLLM reasoning → Spatial and embodied reasoning
- CausalARC: Abstract Reasoning with Causal World ModelsWorld models → World models for language agents +1
- Reg3D: Reconstructive Geometry Instruction Tuning for 3D Scene UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILERetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Learning When to Plan: Efficiently Allocating Test-Time Compute for LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- Can LLMs Lie? Investigation beyond HallucinationMechanistic interpretability → Probing deception, bias and beliefs
- Strefer: Empowering Video LLMs with Space-Time Referring and Reasoning via Synthetic Instruction DataLLM reasoning → Spatial and embodied reasoning +1
- OneCAT: Decoder-Only Auto-Regressive Model for Unified Understanding and GenerationMixture-of-experts → Multimodal MoE models
- SafeProtein: Red-Teaming Framework and Benchmark for Protein Foundation ModelsLLM safety and security → Prompt injection and agent security
- Design and Optimization of Reinforcement Learning-Based Agents in Text-Based GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
- sam-llm: interpretable lane change trajectoryprediction via parametric finetuningLLM reasoning → Chain-of-thought reasoning for driving
- Beyond Correctness: Harmonizing Process and Outcome Rewards through RL TrainingLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Human Preference-Aligned Concept Customization Benchmark via Decomposed EvaluationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- ANNIE: Be Careful of Your RobotsVision-language-action models → Safety and adversarial attacks
- Situating AI Agents in their World: Aspective Agentic AI for Dynamic Partially Observable Information SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- TinyDrop: Tiny Model Guided Token Dropping for Vision TransformersEfficient LLM inference and serving → Token pruning and merging for ViTs
- TRACE: Unlocking Effective CXL Bandwidth via Lossless Compression and Precision ScalingEfficient LLM inference and serving → KV cache optimization
- Do Language Models Follow Occam's Razor? An Evaluation of Parsimony in Inductive and Abductive ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- On the MIA Vulnerability Gap Between Private GANs and Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Equivariant Flow Matching for Symmetry-Breaking Bifurcation ProblemsDiffusion models → Flow matching, time series and science
- EvolveSignal: A Large Language Model Powered Coding Agent for Discovering Traffic Signal Control StrategiesLLM agents and tool use → Multimodal and embodied agents
- InfraDiffusion: zero-shot depth map restoration with diffusion models and prompted segmentation from sparse infrastructure point cloudsDiffusion models → 3D, point cloud and scene generation
- Empowering Lightweight MLLMs with Reasoning via Long CoT SFTLLM reasoning → Multimodal reasoning +1
- AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?LLM agents and tool use → Software engineering coding agents
- app.build: A Production Framework for Scaling Agentic Prompt-to-App Generation with Environment ScaffoldingLLM agents and tool use → Software engineering coding agents
- SynBT: High-quality Tumor Synthesis for Breast Tumor Segmentation by 3D Diffusion ModelDiffusion models → Medical imaging and segmentation
- Multi-period Asset-liability Management with Reinforcement Learning in a Regime-Switching MarketDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Autonomous Learning From Success and Failure: Goal-Conditioned Supervised Learning with Negative FeedbackOffline RL and imitation learning from data → Imitation learning methods
- Deep Self-knowledge Distillation: A hierarchical supervised learning for coronary artery segmentationKnowledge distillation → Distillation for medical imaging
- SinhalaMMLU: A Comprehensive Benchmark for Evaluating Multitask Language Understanding in SinhalaLLM reasoning → Reasoning benchmarks and evaluation
- Temporally-Aware Diffusion Model for Brain Progression Modelling with Bidirectional Temporal RegularisationDiffusion models → Medical imaging and segmentation
- Adaptive KV-Cache Compression without Manually Setting BudgetEfficient LLM inference and serving → KV cache optimization
- A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle PlanningDeep reinforcement learning methods → RL for autonomous driving and traffic
- PromptCOS: Towards Content-only System Prompt Copyright Auditing for LLMsLLM safety and security → Watermarking generated content and models
- Mitigating Multimodal Hallucinations via Gradient-based Self-ReflectionMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECGState-space sequence models (S4, Mamba) → Physiological signal modeling
- Loong: Synthesize Long Chain-of-Thoughts at Scale through VerifiersLLM reasoning → Reinforcement learning for reasoning
- DCDB: Dynamic Conditional Dual Diffusion Bridge for Ill-posed Multi-TasksDiffusion models → Diffusion foundations and sampling
- Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Unveiling the Response of Large Vision-Language Models to Visually Absent TokensMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- InstaDA: Augmenting Instance Segmentation Data with Dual-Agent SystemDiffusion models → Medical imaging and segmentation +1
- KEPT: Knowledge-Enhanced Prediction of Trajectories from Consecutive Driving Frames with Vision-Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Lattice Annotated Temporal (LAT) Logic for Non-Markovian ReasoningLLM reasoning → Test-time compute and efficient thinking
- Deep Reinforcement Learning-Based Decision-Making Strategy Considering User Satisfaction Feedback in Demand Response ProgramDeep reinforcement learning methods → RL for energy, networks and operations
- VendiRL: A Framework for Self-Supervised Reinforcement Learning of Diversely Diverse SkillsDeep reinforcement learning methods → Deep RL algorithms and representations
- The Basic B*** Effect: The Use of LLM-based Agents Reduces the Distinctiveness and Diversity of People's ChoicesLLM agents and tool use → Social simulation and multi-agent debate
- Generative AI in Heritage Practice: Improving the Accessibility of Heritage Guidance
- Artificial Intelligence-derived Cardiotocography Age as a Digital Biomarker for Predicting Future Adverse Pregnancy Outcomes
- Gradient Estimation Methods of Approximate Multipliers for High-Accuracy Retraining of Deep Learning Models
- Holographic Knowledge Manifolds: A Novel Pipeline for Continual Learning Without Catastrophic Forgetting in Large Language Models
- A Comparative Benchmark of Federated Learning Strategies for Mortality Prediction on Heterogeneous and Imbalanced Clinical Data
- Privacy-Preserving Personalization in Education: A Federated Recommender System for Student Performance Prediction
- A Differential Manifold Perspective and Universality Analysis of Continuous Attractors in Artificial Neural Networks
- A Service-Oriented Adaptive Hierarchical Incentive Mechanism for Federated Learning
- The Protocol Genome A Self Supervised Learning Framework from DICOM Headers
- Geospatial Foundational Embedder: Top-1 Winning Solution on EarthVision Embed2Scale Challenge (CVPR 2025)
- Constitutional Law and AI Governance: Constraints on Model Licensing and Research Classification
- Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection
- An Empirical Analysis of Discrete Unit Representations in Speech Language Modeling Pre-training
- Spiking Neural Networks for Continuous Control via End-to-End Model-Based Learning
- Unsupervised Instance Segmentation with Superpixels
- Provably data-driven projection method for quadratic programming
- Using LLMs to create analytical datasets: A case study of reconstructing the historical memory of Colombia
- Hierarchical Section Matching Prediction (HSMP) BERT for Fine-Grained Extraction of Structured Data from Hebrew Free-Text Radiology Reports in Crohn's Disease
- Analysis of Voluntarily Reported Data Post Mesh Implantation for Detecting Public Emotion and Identifying Concern Reports
- Artificially Fluent: Swahili AI Performance Benchmarks Between English-Trained and Natively-Trained Datasets
- Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations
- ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction
- Testing for correlation between network structure and high-dimensional node covariates
- Co-Evolving Complexity: An Adversarial Framework for Automatic MARL Curricula
- Deficiency of equation-finding approach to data-driven modeling of dynamical systems
- LLM-based Relevance Assessment for Web-Scale Search Evaluation at Pinterest
- A Data-Driven Interpolation Method on Smooth Manifolds via Diffusion Processes and Voronoi Tessellations
- ARDO: A Weak Formulation Deep Neural Network Method for Elliptic and Parabolic PDEs Based on Random Differences of Test Functions
- STA-Net: A Decoupled Shape and Texture Attention Network for Lightweight Plant Disease Classification
- Mapping on a Budget: Optimizing Spatial Data Collection for ML
- Designing Gaze Analytics for ELA Instruction: A User-Centered Dashboard with Conversational AI Support
- LayoutGKN: Graph Similarity Learning of Floor Plans
- How fast can you find a good hypothesis?
- Differentiable Entropy Regularization: A Complexity-Aware Approach for Neural Optimization
All 279
- The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
- Transfer Learning-Based CNN Models for Plant Species Identification Using Leaf Venation Patterns
- MLSD: A Novel Few-Shot Learning Approach to Enhance Cross-Target and Cross-Domain Stance Detection
- From Federated Learning to X-Learning: Breaking the Barriers of Decentrality Through Random Walks
- Online Learning of Optimal Sequential Testing Policies
- QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception
- EmbedOR: Provable Cluster-Preserving Visualizations with Curvature-Based Stochastic Neighbor Embeddings
- Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures
- Graph Random Features for Scalable Gaussian Processes
- A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games
- Insights from Gradient Dynamics: Gradient Autoscaled Normalization
- A Machine Learning-Based Study on the Synergistic Optimization of Supply Chain Management and Financial Supply Chains from an Economic Perspective
- Semantic Analysis of SNOMED CT Concept Co-occurrences in Clinical Documentation using MIMIC-IV
- ACT: Automated Constraint Targeting for Multi-Objective Recommender Systems
- Semi-decentralized Federated Time Series Prediction with Client Availability Budgets
- Nonnegative matrix factorization and the principle of the common cause
- An Empirical Evaluation of Factors Affecting SHAP Explanation of Time Series Classification
- CEHR-XGPT: A Scalable Multi-Task Foundation Model for Electronic Health Records
- treeX: Unsupervised Tree Instance Segmentation in Dense Forest Point Clouds
- Lightweight image segmentation for echocardiography
- Revealing Fine Structure in Protoplanetary Disks with Physics Constrained Neural Fields
- Accurate and scalable deep Maxwell solvers using multilevel iterative methods
- Exoplanetary atmospheres retrieval via a quantum extreme learning machine
- Multi Attribute Bias Mitigation via Representation Learning
- E-ARMOR: Edge case Assessment and Review of Multilingual Optical Character Recognition
- Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge
- NoteBar: An AI-Assisted Note-Taking System for Personal Knowledge Management
- Towards Efficient General Feature Prediction in Masked Skeleton Modeling
- The Optimiser Hidden in Plain Sight: Training with the Loss Landscape's Induced Metric
- ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference
- Quantum-Assisted Correlation Clustering
- Predicting Antimicrobial Resistance (AMR) in Campylobacter, a Foodborne Pathogen, and Cost Burden Analysis Using Machine Learning
- Easier Painting Than Thinking: Can Text-to-Image Models Set the Stage, but Not Direct the Play?
- Can the Waymo Open Motion Dataset Support Realistic Behavioral Modeling? A Validation Study with Naturalistic Trajectories
- A comprehensive Persian offline handwritten database for investigating the effects of heritability and family relationships on handwriting
- LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence
- Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients
- Real-Time Instrument Planning and Perception for Novel Measurements of Dynamic Phenomena
- DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video
- Invariant Features for Global Crop Type Classification
- Learning AC Power Flow Solutions using a Data-Dependent Variational Quantum Circuit
- Parameter-Efficient Adaptation of mPLUG-Owl2 via Pixel-Level Visual Prompts for NR-IQA
- On Entropy Control in LLM-RL Algorithms
- Robult: Leveraging Redundancy and Modality Specific Features for Robust Multimodal Learning
- Solving Imaging Inverse Problems Using Plug-and-Play Denoisers: Regularization and Optimization Perspectives
- Geometric Foundations of Tuning without Forgetting in Neural ODEs
- DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling
- Continuous Saudi Sign Language Recognition: A Vision Transformer Approach
- Joint Training of Image Generator and Detector for Road Defect Detection
- Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation
- SmartPoser: Arm Pose Estimation with a Smartphone and Smartwatch Using UWB and IMU Data
- Learning Particle Dynamics Subject to Rigid Body Manipulations Using Graph Neural Networks
- Non-Linear Counterfactual Aggregate Optimization
- Decoding Visual Neural Representations by Multimodal with Dynamic Balancing
- EclipseTouch: Touch Segmentation on Ad Hoc Surfaces using Worn Infrared Shadow Casting
- Time-Scaling State-Space Models for Dense Video Captioning
- LINKER: Learning Interactions Between Functional Groups and Residues With Chemical Knowledge-Enhanced Reasoning and Explainability
- Generalist versus Specialist Vision Foundation Models for Ocular Disease and Oculomics
- Curse of Knowledge: When Complex Evaluation Context Benefits yet Biases LLM Judges
- Initialization Schemes for Kolmogorov-Arnold Networks: An Empirical Study
- Markov Missing Graph: A Graphical Approach for Missing Data Imputation
- Multi-level SSL Feature Gating for Audio Deepfake Detection
- Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping
- Learning Mechanism Underlying NLP Pre-Training and Fine-Tuning
- LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
- CloudFormer: An Attention-based Performance Prediction for Public Clouds with Unknown Workload
- Exploring a Graph-based Approach to Offline Reinforcement Learning for Sepsis Treatment
- Understanding and Improving Shampoo and SOAP via Kullback-Leibler Minimization
- Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing
- The distribution of calibrated likelihood functions on the probability-likelihood Aitchison simplex
- Some patterns of sleep quality and Daylight Saving Time across countries: a predictive and exploratory analysis
- epiGPTope: A machine learning-based epitope generator and classifier
- Generative Auto-Bidding in Large-Scale Competitive Auctions via Diffusion Completer-Aligner
- SESGO: Spanish Evaluation of Stereotypical Generative Outputs
- Heatmap Guided Query Transformers for Robust Astrocyte Detection across Immunostains and Resolutions
- Temporal social network modeling of mobile connectivity data with graph neural networks
- Bayesian Additive Regression Trees for functional ANOVA model
- Meta-Imputation Balanced (MIB): An Ensemble Approach for Handling Missing Data in Biomedical Machine Learning
- Automatic Differentiation of Agent-Based Models
- LatPhon: Lightweight Multilingual G2P for Romance Languages and English
- Feedback-Enhanced Online Multiple Testing with Applications to Conformal Selection
- A Comprehensive Guide to Differential Privacy: From Theory to User Expectations
- Improving Perceptual Audio Aesthetic Assessment via Triplet Loss and Self-Supervised Embeddings
- Machine Learning-Driven Anomaly Detection for 5G O-RAN Performance Metrics
- Accountability Framework for Healthcare AI Systems: Towards Joint Accountability in Decision Making
- PointAD+: Learning Hierarchical Representations for Zero-shot 3D Anomaly Detection
- Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial
- PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges With a Geometry-Aware 3DETR
- HyPV-LEAD: Proactive Early-Warning of Cryptocurrency Anomalies through Data-Driven Structural-Temporal Modeling
- Comparison of End-to-end Speech Assessment Models for the NOCASA 2025 Challenge
- Structure Transfer: an Inference-Based Calculus for the Transformation of Representations
- FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization
- TopoMap: A Feature-based Semantic Discriminator of the Topographical Regions in the Test Input Space
- Unsupervised Learning based Element Resource Allocation for Reconfigurable Intelligent Surfaces in mmWave Network
- Evaluation of Stress Detection as Time Series Events -- A Novel Window-Based F1-Metric
- TeRA: Vector-based Random Tensor Network for High-Rank Adaptation of Large Language Models
- NeurStore: Efficient In-database Deep Learning Model Management System
- The Role of Embodiment in Intuitive Whole-Body Teleoperation for Mobile Manipulation
- LGBP-OrgaNet: Learnable Gaussian Band Pass Fusion of CNN and Transformer Features for Robust Organoid Segmentation and Tracking
- A Novel Framework for Uncertainty-Driven Adaptive Exploration
- RTGMFF: Enhanced fMRI-based Brain Disorder Diagnosis via ROI-driven Text Generation and Multimodal Feature Fusion
- AIVA: An AI-based Virtual Companion for Emotion-aware Interaction
- Efficient Active Training for Deep LiDAR Odometry
- Exploring the Design Space of Fair Tree Learning Algorithms
- Tabular foundation model for GEOAI benchmark problems BM/AirportSoilProperties/2/2025
- Prompt-Guided Patch UNet-VAE with Adversarial Supervision for Adrenal Gland Segmentation in Computed Tomography Medical Images
- Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples
- PPORLD-EDNetLDCT: A Proximal Policy Optimization-Based Reinforcement Learning Framework for Adaptive Low-Dose CT Denoising
- Beyond Words: Interjection Classification for Improved Human-Computer Interaction
- AutoDetect: Designing an Autoencoder-based Detection Method for Poisoning Attacks on Object Detection Applications in the Military Domain
- Systematic Evaluation of Attribution Methods: Eliminating Threshold Bias and Revealing Method-Dependent Performance Patterns
- Count2Density: Crowd Density Estimation without Location-level Annotations
- Rashomon in the Streets: Explanation Ambiguity in Scene Understanding
- Domain Adaptation of LLMs for Process Data
- Preserving instance continuity and length in segmentation through connectivity-aware loss computation
- Convergence for adaptive resampling of random Fourier features
- Expanding the WMT24++ Benchmark with Rumantsch Grischun, Sursilvan, Sutsilvan, Surmiran, Puter, and Vallader
- An experimental and computational study of an Estonian single-person word naming
- Reconfiguration of pivoting cube ensembles under local sensing constraints using geometric deep learning
- A Neural Network Approach to Multi-radionuclide TDCR Beta Spectroscopy
- RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
- From Construction to Injection: Edit-Based Fingerprints for Large Language Models
- Measuring Scalar Constructs in Social Science with LLMs
- Towards Realistic Hand-Object Interaction with Gravity-Field Based Diffusion Bridge
- Information transmission: Inferring change area from change moment in time series remote sensing images
- LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization
- Backdoor Poisoning Attack Against Face Spoofing Attack Detection Methods
- TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis
- Are We SOLID Yet? An Empirical Study on Prompting LLMs to Detect Design Principle Violations
- SurGBSA: Learning Representations From Molecular Dynamics Simulations
- CWT-Enhanced Vibration Sensing With Time-Frequency Region Localization Using YOLO
- High Cursive Complex Character Recognition using GAN External Classifier
- Isolated Bangla Handwritten Character Classification using Transfer Learning
- A Long Short-Term Memory (LSTM) Model for Business Sentiment Analysis Based on Recurrent Neural Network
- Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models
- Discrete Functional Geometry of ReLU Networks via ReLU Transition Graphs
- Calibration and Transformation-Free Weight-Only LLMs Quantization via Dynamic Grouping
- FlashRecovery: Fast and Low-Cost Recovery from Failures for Large-Scale Training of LLMs
- MedLiteNet: Lightweight Hybrid Medical Image Segmentation Model
- Knowledge Integration for Physics-informed Symbolic Regression Using Pre-trained Large Language Models
- Background Matters Too: A Language-Enhanced Adversarial Framework for Person Re-Identification
- Multimodal learning of melt pool dynamics in laser powder bed fusion
- Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption
- Training LLMs to be Better Text Embedders through Bidirectional Reconstruction
- Mycroft: Tracing Dependencies in Collective Communication Towards Reliable LLM Training
- Uncertainty-aware Test-Time Training (UT3) for Efficient On-the-fly Domain Adaptive Dense Regression
- Lesion-Aware Visual-Language Fusion for Automated Image Captioning of Ulcerative Colitis Endoscopic Examinations
- Mitigating Data Imbalance in Automated Speaking Assessment
- Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers
- Identifiability and minimality bounds of quantum and post-quantum models of classical stochastic processes
- SOPSeg: Prompt-based Small Object Instance Segmentation in Remote Sensing Imagery
- DiaCBT: A Long-Periodic Dialogue Corpus Guided by Cognitive Conceptualization Diagram for CBT-based Psychological Counseling
- SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation
- DUViN: Diffusion-Based Underwater Visual Navigation via Knowledge-Transferred Depth Features
- StableSleep: Source-Free Test-Time Adaptation for Sleep Staging with Lightweight Safety Rails
- AdaGrad Meets Muon: Adaptive Stepsizes for Orthogonal Updates
- Scale-Adaptive Generative Flows for Multiscale Scientific Data
- Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation
- VQualA 2025 Challenge on Engagement Prediction for Short Videos: Methods and Results
- AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting
- EdgeAttNet: Towards Barb-Aware Filament Segmentation
- Resilient Multimodal Industrial Surface Defect Detection with Uncertain Sensors Availability
- Ensemble YOLO Framework for Multi-Domain Mitotic Figure Detection in Histopathology Images
- STAR: A Fast and Robust Rigid Registration Framework for Serial Histopathological Images
- ProMQA-Assembly: Multimodal Procedural QA Dataset on Assembly
- RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation
- Faster Gradient Methods for Highly-Smooth Stochastic Bilevel Optimization
- A Data-Driven RetinaNet Model for Small Object Detection in Aerial Images
- P-DRUM: Post-hoc Descriptor-based Residual Uncertainty Modeling for Machine Learning Potentials
- Decoding the Rule Book: Extracting Hidden Moderation Criteria from Reddit Communities
- Simulacra Naturae: Generative Ecosystem driven by Agent-Based Simulations and Brain Organoid Collective Intelligence
- A Narrative Review of Clinical Decision Support Systems in Offloading Footwear for Diabetes-Related Foot Ulcers
- Event Detection and Classification for Long Range Sensing of Elephants Using Seismic Signal
- Single Domain Generalization in Diabetic Retinopathy: A Neuro-Symbolic Learning Approach
- English Pronunciation Evaluation without Complex Joint Training: LoRA Fine-tuned Speech Multimodal LLM
- Advancing Minority Stress Detection with Transformers: Insights from the Social Media Datasets
- High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception
- UrbanTwin: Building High-Fidelity Digital Twins for Sim2Real LiDAR Perception and Evaluation
- LiGuard: A Streamlined Open-Source Framework for Rapid & Interactive Lidar Research