Papers
Mon 1 Sep 2025
312 papers
- PIR-RAG: A System for Private Information Retrieval in Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- CARE: Decoding Time Safety Alignment via Rollback and Introspection InterventionLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Delta Rectified Flow Sampling for Text-to-Image EditingDiffusion models → Image generation, text-to-image and editing
- Plantbot: Integrating Plant and Robot through LLM Modular Agent NetworksLLM agents and tool use → Multimodal and embodied agents
- RT-VLM: Re-Thinking Vision Language Model with 4-Clues for Real-World Object Recognition RobustnessLLM reasoning → Multimodal reasoning +1
- Goal-Conditioned Reinforcement Learning for Data-Driven Maritime NavigationDeep reinforcement learning methods → RL for robot navigation and UAV control
- PractiLight: Practical Light Control Using Foundational Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- From CVE Entries to Verifiable Exploits: An Automated Multi-Agent Framework for Reproducing CVEsLLM agents and tool use → Agent threats, guardrails and governance
- When LLM Meets Time Series: Can LLMs Perform Multi-Step Time Series Reasoning and InferenceLLM reasoning → Time series reasoning
- ManiFlow: A General Robot Manipulation Policy via Consistency Flow TrainingDiffusion models → Diffusion and flow policies for robotics +1
- STORI: A Benchmark and Taxonomy for Stochastic EnvironmentsDeep reinforcement learning methods → Deep RL algorithms and representations
- Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMsLLM reasoning → Prompting and chain-of-thought reasoning
- Non-conflicting Energy Minimization in Reinforcement Learning based Robot ControlDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Communication-Aware Knowledge Distillation for Federated LLM Fine-Tuning over Wireless NetworksKnowledge distillation → Federated, robust and private distillation
- Learning to Ask: Decision Transformers for Adaptive Quantitative Group TestingOffline RL and imitation learning from data → Offline RL algorithms
- Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App ControlDeep reinforcement learning methods → RL training of language and agent models
- Reinforcement Learning for Machine Learning Engineering AgentsLLM agents and tool use → Reinforcement learning for LLM agents +1
- Data Retrieval with Importance Weights for Few-Shot Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Reinforced Visual Perception with ToolsLLM reasoning → Multimodal reasoning
- Distilled Pretraining: A modern lens of Data, In-Context Learning and Test-Time ScalingLLM reasoning → Prompting and chain-of-thought reasoning
- Non-Identical Diffusion Models in MIMO-OFDM Channel GenerationDiffusion models → Diffusion for compression and wireless
- Relative Trajectory Balance is equivalent to Trust-PCLDiffusion models → Diffusion and flow policies for robotics +1
- Unraveling LLM Jailbreaks Through Safety Knowledge NeuronsLLM safety and security → Jailbreaking
- Lipschitz-Guided Design of Interpolation Schedules in Generative ModelsDiffusion models → Diffusion foundations and sampling
- Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware SchedulingDiffusion models → Diffusion foundations and sampling
- Throttling Web Agents Using Reasoning GatesLLM reasoning → Reasoning for agents, planning and code +1
- A Hybrid Input based Deep Reinforcement Learning for Lane Change Decision-Making of Autonomous VehicleEnd-to-end autonomous driving → Reinforcement learning for driving +1
- Reinforcement learning for graph theory, Parallelizing Wagner's approachDeep reinforcement learning methods → RL for games and combinatorial optimization
- O-DisCo-Edit: Object Distortion Control for Unified Realistic Video EditingDiffusion models → Video generation
- Kwai Keye-VL 1.5 Technical ReportMultimodal LLMs / vision-language models → Video understanding with MLLMs
- In-N-Out: A Parameter-Level API Graph Dataset for Tool AgentsLLM agents and tool use → Tool learning and function calling
- Unified Supervision For Vision-Language Modeling in 3D Computed TomographyMultimodal LLMs / vision-language models → Medical vision-language models
- Variation-aware Vision Token Dropping for Faster Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Cloud-Device Collaborative Agents for Sequential RecommendationLLM reasoning → LLM reasoning for recommendation +1
- Causal Consistency Regularization: Training Verifiably Sensitive Reasoning in Large Language ModelsLLM reasoning → Causal reasoning in LLMs
- Feynman-Kac-Flow: Inference Steering of Conditional Flow Matching to an Energy-Tilted PosteriorDiffusion models → Flow matching, time series and science
- Agentic Workflow for Education: Concepts and ApplicationsLLM agents and tool use → Educational agents and math problem solving
- MeVe: A Modular System for Memory Verification and Effective Context Control in Language ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
- A Continuous-Time Consistency Model for 3D Point Cloud GenerationDiffusion models → 3D, point cloud and scene generation
- Do Retrieval Augmented Language Models Know When They Don't Know?Retrieval-augmented generation → Hallucination detection in RAG +1
- Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QALLM reasoning → Knowledge- and tool-augmented reasoning
- Strata-Sword: A Hierarchical Safety Evaluation towards LLMs based on Reasoning Complexity of Jailbreak InstructionsLLM safety and security → Jailbreaking
- LLM-empowered Agents Simulation Framework for Scenario Generation in Service Ecosystem GovernanceLLM agents and tool use → Social simulation and multi-agent debate
- The Geometry of Nonlinear Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Mamba-CNN: A Hybrid Architecture for Efficient and Accurate Facial Beauty PredictionState-space sequence models (S4, Mamba) → Vision Mamba backbones
- On the Alignment of Large Language Models with Global Human OpinionLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded TasksLLM agents and tool use → Web, search, and research agents
- ABCD-LINK: Annotation Bootstrapping for Cross-Document Fine-Grained LinksSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- WATCHED: A Web AI Agent Tool for Combating Hate Speech by Expanding DataLLM agents and tool use → Social simulation and multi-agent debate
- CbLDM: A Diffusion Model for recovering nanostructure from atomic pair distribution functionDiffusion models → Flow matching, time series and science
- Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task ArithmeticLLM reasoning → Reinforcement learning for reasoning
- Error Notebook-Guided, Training-Free Part Retrieval in 3D CAD Assemblies via Vision-Language ModelsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented GenerationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- LLM-Guided Semantic Relational Reasoning for Multimodal Intent RecognitionLLM reasoning → Multimodal reasoning
- KoBLEX: Open Legal Question Answering with Multi-hop ReasoningLLM reasoning → Reasoning for agents, planning and code
- LongCat-Flash Technical ReportLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Towards High Data Efficiency in Reinforcement Learning with Verifiable RewardLLM reasoning → Reinforcement learning for reasoning
- TableZoomer: A Collaborative Agent Framework for Large-scale Table Question AnsweringLLM agents and tool use → Web, search, and research agents
- GradeSQL: Test-Time Inference with Outcome Reward Models for Text-to-SQL Generation from Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Culture is Everywhere: A Call for Intentionally Cultural EvaluationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Building surrogate models using trajectories of agents trained by Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Communicative Agents for Slideshow Storytelling Video Generation based on LLMsLLM agents and tool use → Multimodal and embodied agents
- Novel Category Discovery with X-Agent Attention for Open-Vocabulary Semantic SegmentationLLM agents and tool use → Multimodal and embodied agents
- Iterative In-Context Learning to Enhance LLMs Abstract Reasoning: The Case-Study of Algebraic TasksLLM reasoning → Mathematical reasoning
- Towards Agentic OS: An LLM Agent Framework for Linux SchedulersLLM agents and tool use → Software engineering coding agents
- Towards Open-World Retrieval-Augmented Generation on Knowledge Graph: A Multi-Agent Collaboration FrameworkRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained PriorsLLM reasoning → Prompting and chain-of-thought reasoning
- LiquidGEMM: Hardware-Efficient W4A8 GEMM Kernel for High-Performance LLM ServingEfficient LLM inference and serving → KV cache quantization
- POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document ConversionMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Web Fraud Attacks Against LLM-Driven Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- SimulMEGA: MoE Routers are Advanced Policy Makers for Simultaneous Speech TranslationMixture-of-experts → MoE large language models
- FocusDPO: Dynamic Preference Optimization for Multi-Subject Personalized Image Generation via Adaptive FocusLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- DynaMind: Reconstructing Dynamic Visual Scenes from EEG by Aligning Temporal Dynamics and Multimodal Semantics to Guided DiffusionDiffusion models → Medical imaging and segmentation
- TempCore: Are Video QA Benchmarks Temporally Grounded?Multimodal LLMs / vision-language models → Video understanding with MLLMs
- Joint Information Extraction Across Classical and Modern Chinese with Tea-MOELoRAMixture-of-experts → Mixture of LoRA experts
- Dream-Coder 7B: An Open Diffusion Language Model for CodeDiffusion models → Discrete and text diffusion
- REFRAG: Rethinking RAG based DecodingLLM reasoning → Knowledge- and tool-augmented reasoning +2
- Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Bidirectional Sparse Attention for Faster Video Diffusion TrainingDiffusion models → Video generation
- DSDE: Dynamic Speculative Decoding with KLD Stability for Real-World ServingEfficient LLM inference and serving → Speculative decoding
- Assessing Large Language Models on Islamic Legal Reasoning: Evidence from Inheritance Law EvaluationLLM reasoning → Reasoning for agents, planning and code
- SpectMamba: Integrating Frequency and State Space Models for Enhanced Medical Image DetectionState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Q-Learning-Driven Adaptive Rewiring for Cooperative Control in Heterogeneous NetworksDeep reinforcement learning methods → RL for games and combinatorial optimization
- VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool UseLLM reasoning → Reasoning for agents, planning and code +1
- FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure GamesLLM agents and tool use → Software engineering coding agents
- AgenticAD: A Specialized Multiagent System Framework for Holistic Alzheimer Disease Management
- Location Matters: Leveraging Multi-Resolution Geo-Embeddings for Housing Search
- An Internet of Intelligent Things Framework for Decentralized Heterogeneous Platforms
- AttnBoost: Retail Supply Chain Sales Insights via Gradient Boosting Perspective
- Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs
- FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free
- MIDOG 2025 Track 2: A Deep Learning Model for Classification of Atypical and Normal Mitotic Figures under Class and Hardness Imbalances
- From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction
- Exploring Multi-view Symbolic Regression methods in physical sciences
- Towards Scalable O-RAN Resource Management: Graph-Augmented Proximal Policy Optimization
- FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraints
- Handling imbalance and few-sample size in ML based Onion disease classification
- Comparative Evaluation of Hard and Soft Clustering for Precise Brain Tumor Segmentation in MR Imaging
- Anticipatory Fall Detection in Humans with Hybrid Directed Graph Neural Networks and Long Short-Term Memory
All 312
- A Stroke-Level Large-Scale Database of Chinese Character Handwriting and the OpenHandWrite_Toolbox for Handwriting Research
- A Real-Time, Vision-Based System for Badminton Smash Speed Estimation on Mobile Devices
- Where Should I Study? Biased Language Models Decide! Evaluating Fairness in LMs for Academic Recommendations
- A Narrative-Driven Computational Framework for Clinician Burnout Surveillance
- Learned Hallucination Detection in Black-Box LLMs using Token-level Entropy Production Rate
- Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR
- Facial Emotion Recognition does not detect feeling unsafe in automated driving
- Serialized Output Prompting for Large Language Model-based Multi-Talker Speech Recognition
- Adaptive Learning Strategies for Mitotic Figure Classification in MIDOG2025 Challenge
- Enhanced Single-Cell RNA-seq Embedding through Gene Expression and Data-Driven Gene-Gene Interaction Integration
- A Single Detect Focused YOLO Framework for Robust Mitotic Figure Detection
- Challenges and Lessons from MIDOG 2025: A Two-Stage Approach to Domain-Robust Mitotic Figure Detection
- A Two-Stage Strategy for Mitosis Detection Using Improved YOLO11x Proposals and ConvNeXt Classification
- Who Owns The Robot?: Four Ethical and Socio-technical Questions about Wellbeing Robots in the Real World through Community Engagement
- IS3 : Generic Impulsive--Stationary Sound Separation in Acoustic Scenes using Deep Filtering
- Towards Performatively Stable Equilibria in Decision-Dependent Games for Arbitrary Data Distribution Maps
- Gaussian process surrogate with physical law-corrected prior for multi-coupled PDEs defined on irregular geometry
- GradES: Significantly Faster Training in Transformers with Gradient-Based Early Stopping
- Optimizing In-Context Learning for Efficient Full Conformal Prediction
- HodgeFormer: Transformers for Learnable Operators on Triangular Meshes through Data-Driven Hodge Matrices
- Multi-vessel Interaction-Aware Trajectory Prediction and Collision Risk Assessment
- Journalists' Perceptions of Artificial Intelligence and Disinformation Risks
- QUBO-based training for VQAs on Quantum Annealers
- Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts
- ShortageSim: Simulating Drug Shortages under Information Asymmetry
- Quantum Machine Learning for UAV Swarm Intrusion Detection
- The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
- Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition
- Optimal information injection and transfer mechanisms for active matter reservoir computing
- A Multi-target Bayesian Transformer Framework for Predicting Cardiovascular Disease Biomarkers during Pandemics
- E-PhishGen: Unlocking Novel Research in Phishing Email Detection
- Real-Time Applicability of Emulated Virtual Circuits for Tokamak Plasma Shape Control
- AHAMask: Reliable Task Specification for Large Audio Language Models without Instructions
- EgoTouch: On-Body Touch Input Using AR/VR Headset Cameras
- Modeling and benchmarking quantum optical neurons for efficient neural computation
- Wrong Model, Right Uncertainty: Spatial Associations for Discrete Data with Misspecification
- chDzDT: Word-level morphology-aware language model for Algerian social media text
- A Hybrid Framework for Healing Semigroups with Machine Learning
- Music Genre Classification Using Machine Learning Techniques
- TransMatch: A Transfer-Learning Framework for Defect Detection in Laser Powder Bed Fusion Additive Manufacturing
- Clinical Metadata Guided Limited-Angle CT Image Reconstruction
- Multimodal Generative Flows for LHC Jets
- BM-CL: Bias Mitigation through the lens of Continual Learning
- Constrained Decoding for Safe Robot Navigation Foundation Models
- Convolutional Monge Mapping between EEG Datasets to Support Independent Component Labeling
- Robust Anomaly Detection through Multi-Modal Autoencoder Fusion for Small Vehicle Damage Detection
- An LLM-enabled semantic-centric framework to consume privacy policies
- Articulated Object Estimation in the Wild
- Deep Learning-Based Rock Particulate Classification Using Attention-Enhanced ConvNeXt
- Examination of PCA Utilisation for Multilabel Classifier of Multispectral Images
- Preconditioned Regularized Wasserstein Proximal Sampling
- GaussianGAN: Real-Time Photorealistic controllable Human Avatars
- Efficient Transformer-Inspired Variants of Physics-Informed Deep Operator Networks
- Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection
- Physics Supernova: AI Agent Matches Elite Gold Medalists at IPhO 2025
- Parallel Needleman-Wunsch on CUDA to measure word similarity based on phonetic transcriptions
- OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning
- REVELIO -- Universal Multimodal Task Load Estimation for Cross-Domain Generalization
- TransGAT: Transformer-Based Graph Neural Networks for Multi-Dimensional Automated Essay Scoring
- DiffCoord: Differentiable Coordination for Distributed Multi-Agent Trajectory Optimization
- Effects of Distributional Biases on Gradient-Based Causal Discovery in the Bivariate Categorical Case
- Benchmarking the Detection of LLMs-Generated Modern Chinese Poetry
- Disentangling the schema turn: Restoring the information base to conceptual modelling
- Entropy-Driven Curriculum for Multi-Task Training in Human Mobility Prediction
- Improving Large Vision and Language Models by Learning from a Panel of Peers
- Testing the assumptions about the geometry of sentence embedding spaces: the cosine measure need not apply
- TransForSeg: A Multitask Stereo ViT for Joint Stereo Segmentation and 3D Force Estimation in Catheterization
- An Efficient Intrusion Detection System for Safeguarding Radiation Detection Systems
- Securing Radiation Detection Systems with an Efficient TinyML-Based IDS for Edge Devices
- From Discord to Harmony: Decomposed Consonance-based Training for Improved Audio Chord Estimation
- One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption
- ViSTA-SLAM: Visual SLAM with Symmetric Two-view Association
- Aleatoric Uncertainty from AI-based 6D Object Pose Predictors for Object-relative State Estimation
- Structured AI Decision-Making in Disaster Management
- User Manual for Model-based Imaging Inverse Problem
- Learning Longitudinal Stress Dynamics from Irregular Self-Reports via Time Embeddings
- CSRM-LLM: Embracing Multilingual LLMs for Cold-Start Relevance Matching in Emerging E-commerce Markets
- Enabling Down Syndrome Research through a Knowledge Graph-Driven Analytical Framework
- Enhancing Uncertainty Estimation in LLMs with Expectation of Aggregated Internal Belief
- Direct Profit Estimation Using Uplift Modeling under Clustered Network Interference
- Real-Time Hardware-Free HIFU Interference Suppression via Teacher-Student Diffusion Framework
- Ultra Fast Warm Start Solution for Graph Recommendations
- Model Unmerging: Making Your Models Unmergeable for Secure Model Sharing
- Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size
- CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models
- Forward-Only Continual Learning
- Service, Solidarity, and Self-Help: A Comparative Topic Modeling Analysis of Community Unionism in the Boot and Shoe Union and Unite Community
- Prediction, Generation of WWTPs microbiome community structures and Clustering of WWTPs various feature attributes using DE-BP model, SiTime-GAN model and DPNG-EPMC ensemble clustering algorithm with modulation of microbial ecosystem health
- Unsupervised Identification and Replay-based Detection (UIRD) for New Category Anomaly Detection in ECG Signal
- MSA2-Net: Utilizing Self-Adaptive Convolution Module to Extract Multi-Scale Information in Medical Image Segmentation
- PointSlice: Accurate and Efficient Slice-Based Representation for 3D Object Detection from Point Clouds
- Prior-Guided Flow Matching for Target-Aware Molecule Design with Learnable Atom Number
- An Information-Flow Perspective on Explainability Requirements: Specification and Verification
- Hierarchical Motion Captioning Utilizing External Text Data Source
- Im2Haircut: Single-view Strand-based Hair Reconstruction for Human Avatars
- Trusted Uncertainty in Large Language Models: A Unified Framework for Confidence Calibration and Risk-Controlled Refusal
- Correlates of Image Memorability in Vision Encoders: Activations, Attention Entropy, Patch Uniformity and Autoencoder Losses
- Benchmarking Optimizers for Large Language Model Pretraining
- SoccerHigh: A Benchmark Dataset for Automatic Soccer Video Summarization
- Unnoticeable Community Deception via Multi-objective Optimization
- Sampling as Bandits: Evaluation-Efficient Design for Black-Box Densities
- Temporal Representation Learning for Real-Time Ultrasound Analysis
- DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases
- Hierarchical Maximum Entropy via the Renormalization Group
- Exploring Quantum Machine Learning for Weather Forecasting
- InfoScale: Unleashing Training-free Variable-scaled Image Generation via Effective Utilization of Information
- MD-PNOP: Equation-Recast Neural Operators for Minimal-Data Extrapolation and PDE Solver Acceleration
- Vision-Based Calorie Estimation for Bangladeshi Street Food: A Comparative Study of Detection and Regression Models
- MILO: A Lightweight Perceptual Quality Metric for Image and Latent-Space Optimization
- Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring
- Neural Scene Designer: Self-Styled Semantic Image Manipulation
- RibPull: Implicit Occupancy Fields and Medial Axis Extraction for CT Ribcage Scans
- ArabEmoNet: A Lightweight Hybrid 2D CNN-BiLSTM Model with Attention for Robust Arabic Speech Emotion Recognition
- Distillation of a tractable model from the VQ-VAE
- CabinSep: IR-Augmented Mask-Based MVDR for Real-Time In-Car Speech Separation with Distributed Heterogeneous Arrays
- The Need for Verification in AI-Driven Scientific Discovery
- Double Descent and Overparameterization in Particle Physics Data
- LLMs cannot spot math errors, even when allowed to peek into the solution
- MixedG2P-T5: G2P-free Speech Synthesis for Mixed-script texts using Speech Self-Supervised Learning and Language Model
- Analysing the Language of Neural Audio Codecs
- End-to-End Low-Level Neural Control of an Industrial-Grade 6D Magnetic Levitation System
- Enhancing Partially Relevant Video Retrieval with Robust Alignment Learning
- Learn to Jump: Adaptive Random Walks for Long-Range Propagation through Graph Hierarchies
- Anomaly detection in network flows using unsupervised online machine learning
- Unsupervised Ultra-High-Resolution UAV Low-Light Image Enhancement: A Benchmark, Metric and Framework
- Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices
- Identity-Preserving Text-to-Video Generation via Training-Free Prompt, Image, and Guidance Enhancement
- M3Ret: Unleashing Zero-shot Multimodal Medical Image Retrieval via Self-Supervision
- DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment
- Causal Sensitivity Identification using Generative Learning
- Phase diagram and eigenvalue dynamics of stochastic gradient descent in multilayer neural networks
- Advanced Torrential Loss Function for Precipitation Forecasting
- AgroSense: An Integrated Deep Learning System for Crop Recommendation via Soil Image Analysis and Nutrient Profiling
- Conformal Predictive Monitoring for Multi-Modal Scenarios
- Image Quality Enhancement and Detection of Small and Dense Objects in Industrial Recycling Processes
- Prior-Guided Residual Diffusion: Calibrated and Efficient Medical Image Segmentation
- Globally aware optimization with resurgence
- Can Large Language Models Master Complex Card Games?
- Automatic Screening of Parkinson's Disease from Visual Explorations
- Multitask Battery Management with Flexible Pretraining
- Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals
- Guided Model-based LiDAR Super-Resolution for Resource-Efficient Automotive scene Segmentation
- Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization
- Re3: Learning to Balance Relevance & Recency for Temporal Information Retrieval
- Animer une base de connaissance: des ontologies aux mod`eles d'I.A. g'en'erative
- Cross-Domain Few-Shot Segmentation via Ordinary Differential Equations over Time Intervals
- Equivariant U-Shaped Neural Operators for the Cahn-Hilliard Phase-Field Model
- Multi-Representation Adapter with Neural Architecture Search for Efficient Range-Doppler Radar Object Detection
- SAR-NAS: Lightweight SAR Object Detection with Neural Architecture Search
- Annotation and modeling of emotions in a textual corpus: an evaluative approach
- ReCap: Event-Aware Image Captioning with Article Retrieval and Semantic Gaussian Normalization
- Multi-Agent Reinforcement Learning for Task Offloading in Wireless Edge Networks
- What Expressivity Theory Misses: Message Passing Complexity for GNNs
- Practical and Private Hybrid ML Inference with Fully Homomorphic Encryption
- Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views
- Learning Correlation-aware Aleatoric Uncertainty for 3D Hand Pose Estimation
- RT-DETRv2 Explained in 8 Illustrations
- Geometric origin of adversarial vulnerability in deep learning
- RAMS: Residual-based adversarial-gradient moving sample method for scientific machine learning in solving partial differential equations
- FantasyHSI: Video-Generation-Centric 4D Human Synthesis In Any Scene through A Graph-based Multi-Agent Framework
- DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression
- Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges
- PRINTER:Deformation-Aware Adversarial Learning for Virtual IHC Staining with In Situ Fidelity
- Mitigating Catastrophic Forgetting in Continual Learning through Model Growth
- Measuring Image-Relation Alignment: Reference-Free Evaluation of VLMs and Synthetic Pre-training for Open-Vocabulary Scene Graph Generation
- EndoGMDE: Generalizable Monocular Depth Estimation with Mixture of Low-Rank Experts for Diverse Endoscopic Scenes
- DcMatch: Unsupervised Multi-Shape Matching with Dual-Level Consistency
- PrediTree: A Multi-Temporal Sub-meter Dataset of Multi-Spectral Imagery Aligned With Canopy Height Maps
- Preserving Vector Space Properties in Dimensionality Reduction: A Relationship Preserving Loss Framework
- Efficient Large Language Models with Zero-Shot Adjustable Acceleration
- StoxLSTM: A Stochastic Extended Long Short-Term Memory Network for Time Series Forecasting
- Statutory Construction and Interpretation for Artificial Intelligence
- Modular Techniques for Synthetic Long-Context Data Generation in Language Model Training and Evaluation
- SegAssess: Panoramic quality mapping for robust and transferable unsupervised segmentation assessment
- Question-to-Knowledge (Q2K): Multi-Agent Generation of Inspectable Facts for Product Mapping
- Asynchronous and Stochastic Distributed Resource Allocation
- ADMP-GNN: Adaptive Depth Message Passing GNN
- Detecting Rug Pulls in Decentralized Exchanges: Machine Learning Evidence from the TON Blockchain
- Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning
- A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture
- Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers
- MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost
- EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection
- Zero-shot Cross-lingual NER via Mitigating Language Difference: An Entity-aligned Translation Perspective
- MetaSSL: A General Heterogeneous Loss for Semi-Supervised Medical Image Segmentation
- Nonlinear Performative Prediction
- Heads or Tails: A Simple Example of Causal Abstractive Simulation
- Learning Domain- and Class-Disentangled Prototypes for Domain-Generalized EEG Emotion Recognition
- RealMat: Realistic Materials with Diffusion and Reinforcement Learning
- SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning
- NoLBERT: A No Lookahead(back) Foundational Language Model
- GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and Generation
- FICGen: Frequency-Inspired Contextual Disentanglement for Layout-driven Degraded Image Generation
- Robix: A Unified Model for Robot Interaction, Reasoning and Planning
- CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection
- PVINet: Point-Voxel Interlaced Network for Point Cloud Compression
- An End-to-End Framework for Video Multi-Person Pose Estimation
- Natural Context Drift Undermines the Natural Language Understanding of Large Language Models
- A Class of Random-Kernel Network Models
- A Paradigm Gap in Urdu
- RefineStat: Efficient Exploration for Probabilistic Program Synthesis
- IMU-Enhanced EEG Motion Artifact Removal with Fine-Tuned Large Brain Models
- DRetNet: A Novel Deep Learning Framework for Diabetic Retinopathy Diagnosis
- A Unified Low-level Foundation Model for Enhancing Pathology Image Quality
- An Economy of AI Agents
- Speaking at the Right Level: Literacy-Controlled Counterspeech Generation with RAG-RL
- A Dynamic Fusion Model for Consistent Crisis Response
- Chronotome: Real-Time Topic Modeling for Streaming Embedding Spaces
- MatPROV: A Provenance Graph Dataset of Material Synthesis Extracted from Scientific Literature
- Learning residue level protein dynamics with multiscale Gaussians
- We Politely Insist: Your LLM Must Learn the Persian Art of Taarof
- Seeing through Unclear Glass: Occlusion Removal with One Shot