Papers
Sun 6 Jul 2025
162 papers
- Enhancing Spatial Reasoning in Vision-Language Models via Chain-of-Thought Prompting and Reinforcement LearningLLM reasoning → Spatial and embodied reasoning +1
- LoRA Is Slower Than You ThinkLLM reasoning → Test-time compute and efficient thinking
- Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity Bounds on LLM JailbreakingLLM safety and security → Jailbreaking
- FB-Diff: Fourier Basis-guided Diffusion for Temporal Interpolation of 4D Medical ImagingDiffusion models → Medical imaging and segmentation
- DP-Fusion: Token-Level Differentially Private Inference for Large Language ModelsLLM safety and security → Membership inference attacks
- VLM-TDP: VLM-guided Trajectory-conditioned Diffusion Policy for Robust Long-Horizon ManipulationDiffusion models → Diffusion and flow policies for robotics
- FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution DetectionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- MVL-Loc: Leveraging Vision-Language Model for Generalizable Multi-Scene Camera RelocalizationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Unveiling the Potential of Diffusion Large Language Model in Controllable GenerationLLM agents and tool use → General LLM agent frameworks and benchmarks
- README: Robust Error-Aware Digital Signature Framework via Deep Watermarking ModelLLM safety and security → Watermarking generated content and models
- Source Attribution in Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Anomalous Decision Discovery using Inverse Reinforcement LearningOffline RL and imitation learning from data → Imitation and offline RL for driving +1
- Agentic Distributed ComputingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Think Twice Before You Judge: Mixture of Dual Reasoning Experts for Multimodal Sarcasm DetectionLLM reasoning → Multimodal reasoning
- ESSA: Evolutionary Strategies for Scalable AlignmentLLM reasoning → Reinforcement learning for reasoning +1
- SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-trainingDeep reinforcement learning methods → RL for robot locomotion and manipulation
- DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World KnowledgeVision-language-action models → World model-based VLA
- Street design and driving behavior: evidence from a large-scale study in Milan, Amsterdam, and DubaiEnd-to-end autonomous driving → VLMs for autonomous driving
- Multimedia Verification Through Multi-Agent Deep Research Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone ArchitectureState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- Convergence and Sample Complexity of First-Order Methods for Agnostic Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent DiffusionDiffusion models → 3D, point cloud and scene generation
- The Agency Gap in AI-Supported Writing: How Reactive and Proactive Agent Designs Shape Multimodal ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Inverse Reinforcement Learning using Revealed Preferences and Passive Stochastic OptimizationOffline RL and imitation learning from data → Inverse reinforcement learning +1
- Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning?LLM reasoning → Mathematical reasoning
- DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series ForecastingState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- Multi-Modal Semantic Parsing for the Interpretation of Tombstone InscriptionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Hierarchical Reinforcement Learning with Targeted Causal InterventionsDeep reinforcement learning methods → Deep RL algorithms and representations
- WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory SynthesisWorld models → World models for language agents +1
- MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Long-Context Modeling Networks for Monaural Speech Enhancement: A Comparative StudyState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Attention Slipping: A Mechanistic Understanding of Jailbreak Attacks and Defenses in LLMsLLM safety and security → Jailbreaking
- MLLM-Fabric: Multimodal Large Language Model-Driven Robotic Framework for Fabric Sorting and SelectionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length ControlLLM reasoning → Test-time compute and efficient thinking
- Efficient Perplexity Bound and Ratio Matching in Discrete Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Interactive Groupwise Comparison for Reinforcement Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- AutoLayout: Closed-Loop Layout Synthesis via Slow-Fast Collaborative ReasoningLLM reasoning → Spatial and embodied reasoning
- MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal DistillationDiffusion models → Diffusion foundations and sampling
- M3-Med: A Benchmark for Multi-lingual, Multi-modal, and Multi-hop Reasoning in Medical Instructional Video UnderstandingLLM reasoning → Clinical and biomedical applications
- Clustering via Self-Supervised DiffusionDiffusion models → Diffusion foundations and sampling
- Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-TuningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Soft Actor-Critic with Backstepping-Pretrained DeepONet for control of PDEsDeep reinforcement learning methods → RL theory and sample complexity
- Mobile GUI Agents under Real-world Threats: Are We There Yet?LLM agents and tool use → GUI and mobile agents
- Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMsSynthetic data and self-improvement for LLMs → Model collapse from synthetic data +1
- Quick Bypass Mechanism of Zero-Shot Diffusion-Based Image RestorationDiffusion models → Inverse problems and image restoration
- An explicit formulation of the learned noise predictor εθ(bf xt, t) via the forward-process noise εt in denoising diffusion probabilistic models (DDPMs)Diffusion models → Diffusion foundations and sampling
- Gaze-Aware AI: Mathematical modeling of epistemic experience of the Marginalized for Human-Computer Interaction & AI Systems
- OmniVec2 -- A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning
- Just Add Geometry: Gradient-Free Open-Vocabulary 3D Detection Without Human-in-the-Loop
- A Hybrid Machine Learning Framework for Optimizing Crop Selection via Agronomic and Economic Forecasting
- Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications
- MedicalBERT: enhancing biomedical natural language processing using pretrained BERT-based model
- Emergent misalignment as prompt sensitivity: A research note
- Continuous Classification Aggregation
- Integrating Generative AI in BIM Education: Insights from Classroom Implementation
- Lilith: Developmental Modular LLMs with Chemical Signaling
- Nile-Chat: Egyptian Language Models for Arabic and Latin Scripts
- Evaluating LLMs on Real-World Forecasting Against Expert Forecasters
- MambaVideo for Discrete Video Tokenization with Channel-Split Quantization
- Self-supervised learning of speech representations with Dutch archival data
- AL-SPCE - Reliability analysis for nondeterministic models using stochastic polynomial chaos expansions and active learning
- SPIRA: Building an Intelligent System for Respiratory Insufficiency Detection
- da4ml: Distributed Arithmetic for Real-time Neural Networks on FPGAs
- A Data-Driven Novelty Score for Diverse In-Vehicle Data Recording
- Towards integration of Privacy Enhancing Technologies in Explainable Artificial Intelligence
- Verification of Visual Controllers via Compositional Geometric Transformations
- Grounded Gesture Generation: Language, Motion, and Space
- DOTResize: Reducing LLM Width via Discrete Optimal Transport-based Neuron Merging
- Churn-Aware Recommendation Planning under Aggregated Preference Feedback
- Dynamic Frequency Feature Fusion Network for Multi-Source Remote Sensing Data Classification
- Adapter-state Sharing CLIP for Parameter-efficient Multimodal Sarcasm Detection
- U-ViLAR: Uncertainty-Aware Visual Localization for Autonomous Driving via Differentiable Association and Registration
- Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference
- Machine Learning-Based Prediction of Metal-Organic Framework Materials: A Comparative Analysis of Multiple Models
- A validity-guided workflow for robust large language model research in psychology
- Dealing with Uncertainty in Contextual Anomaly Detection
- LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and Optimization
- A Training-Free Style-Personalization via SVD-Based Feature Decomposition
- Does Overnight News Explain Overnight Returns?
- Model Inversion Attacks on Llama 3: Extracting PII from Large Language Models
- The role of large language models in UI/UX design: A systematic literature review
- Dual Modality-Aware Gated Prompt Tuning for Few-Shot Multimodal Sarcasm Detection
- Visual Hand Gesture Recognition with Deep Learning: A Comprehensive Review of Methods, Datasets, Challenges and Future Research Directions
- BiVM: Accurate Binarized Neural Network for Efficient Video Matting
- GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models
- Dude, where's my utterance? Evaluating the effects of automatic segmentation and transcription on CPS detection
- CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step
- Transfer Learning in Infinite Width Feature Learning Networks
- Sampling-aware Adversarial Attacks Against Large Language Models
- A Category-Theoretic Analysis of Conformal Prediction
- A Linguistic Analysis of Spontaneous Thoughts: Investigating Experiences of D'ej`a Vu, Unexpected Thoughts, and Involuntary Autobiographical Memories
- Quantum Algorithms for Bandits with Knapsacks with Improved Regret and Time Complexities
- Reconstructing Biological Pathways by Applying Selective Incremental Learning to (Very) Small Language Models
- MedGellan: LLM-Generated Medical Guidance to Support Physicians
- ARMR: Adaptively Responsive Network for Medication Recommendation
- Learning Software Bug Reports: A Systematic Literature Review
- Neural Networks for Tamed Milstein Approximation of SDEs with Additive Symmetric Jump Noise Driven by a Poisson Random Measure
- RAT: Bridging RNN Efficiency and Attention Accuracy via Chunk-based Sequence Modeling
- MOMENTS: A Comprehensive Multimodal Benchmark for Theory of Mind
- THM@SimpleText 2025 -- Task 1.1: Revisiting Text Simplification based on Complex Terms for Non-Experts
All 162
- Enhancing Text-Based Hierarchical Multilabel Classification for Mobile Applications via Contrastive Learning
- SFOOD: A Multimodal Benchmark for Comprehensive Food Attribute Analysis Beyond RGB with Spectral Insights
- A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields
- LayerCake: Token-Aware Contrastive Decoding within Large Language Model Layers
- Multi-Expert Learning Framework with the State Space Model for Optical and SAR Image Registration
- SpiritRAG: A Q&A System for Religion and Spirituality in the United Nations Archive
- Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers
- Tractable Representation Learning with Probabilistic Circuits
- ViTaL: A Multimodality Dataset and Benchmark for Multi-pathological Ovarian Tumor Recognition
- Transferring Visual Explainability of Self-Explaining Models to Prediction-Only Models without Additional Training
- MOD-X: A Modular Open Decentralized eXchange Framework proposal for Heterogeneous Interoperable Artificial Intelligence Agents
- Adaptive Malware Detection using Sequential Feature Selection: A Dueling Double Deep Q-Network (D3QN) Framework for Intelligent Classification
- Time2Agri: Temporal Pretext Tasks for Agricultural Monitoring
- Large Language Models' Varying Accuracy in Recognizing Risk-Promoting and Health-Supporting Sentiments in Public Health Discourse: The Cases of HPV Vaccination and Heated Tobacco Products
- Information-theoretic Quantification of High-order Feature Effects in Classification Problems
- Mission-Aligned Learning-Informed Control of Autonomous Systems: Formulation and Foundations
- AI-washing: The Asymmetric Effects of Its Two Types on Consumer Moral Judgments
- HatePRISM: Policies, Platforms, and Research Integration. Advancing NLP for Hate Speech Proactive Mitigation
- Temporally smoothed incremental model-based heuristic dynamic programming for command-filtered cascaded online learning flight control
- Voltage Mode Winner-Take-All Circuit for Neuromorphic Systems
- Computed Tomography Visual Question Answering with Cross-modal Feature Graphing
- Consistent Labeling Across Group Assignments: Variance Reduction in Conditional Average Treatment Effect Estimation
- A note on the unique properties of the Kullback--Leibler divergence for sampling via gradient flows
- No Language Data Left Behind: A Comparative Study of CJK Language Datasets in the Hugging Face Ecosystem
- TinyProto: Communication-Efficient Federated Learning with Sparse Prototypes in Resource-Constrained Environments
- DMAT: An End-to-End Framework for Joint Atmospheric Turbulence Mitigation and Object Detection
- CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning
- Heterogeneous Federated Learning with Prototype Alignment and Upscaling
- Domain Adaptation of Drag Reduction Policy to Partial Measurements
- Exploring Remote Physiological Signal Measurement under Dynamic Lighting Conditions at Night: Dataset, Experiment, and Analysis
- Surg-SegFormer: A Dual Transformer-Based Model for Holistic Surgical Scene Segmentation
- Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization
- QF: Quick Feedforward AI Model Training without Gradient Back Propagation
- Answer Set Programming Modulo Theories and Reasoning about Continuous Changes
- LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop
- SeqTex: Generate Mesh Textures in Video Sequence
- Towards Lightest Low-Light Image Enhancement Architecture for Mobile Devices
- VOLTRON: Detecting Unknown Malware Using Graph-Based Zero-Shot Learning
- ZERO: Industry-ready Vision Foundation Model with Multi-modal Prompts
- Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need
- An Explainable Transformer Model for Alzheimer's Disease Detection Using Retinal Imaging
- MoReMouse: Monocular Reconstruction of Laboratory Mouse
- Bandit Pareto Set Identification in a Multi-Output Linear Model
- Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images
- ATwo-Stage Ensemble Feature Selection and Particle Swarm Optimization Approach for Micro-Array Data Classification in Distributed Computing Environments
- Inertial Quadratic Majorization Minimization with Application to Kernel Regularized Learning
- Domain Generalizable Portrait Style Transfer
- Scaling Context Requires Rethinking Attention
- Structural Classification of Locally Stationary Time Series Based on Second-order Characteristics
- Design Optimization of Three-Dimensional Wire Arrangement Considering Wire Crossings for Tendon-driven Robots
- Grid-Reg: Detector-Free Gridized Feature Learning and Matching for Large-Scale SAR-Optical Image Registration
- High-Resolution Sustain Pedal Depth Estimation from Piano Audio Across Room Acoustics
- Normalized Iterative Hard Thresholding for Tensor Recovery
- Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints
- Fairness Evaluation of Large Language Models in Academic Library Reference Services
- Context Tuning for In-Context Optimization
- DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Design
- Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data
- Mpemba Effect in Large-Language Model Training Dynamics: A Minimal Analysis of the Valley-River model
- Predicting Air Pollution in Cork, Ireland Using Machine Learning
- Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
- JAX-MPM: A Learning-Augmented Differentiable Meshfree Framework for GPU-Accelerated Lagrangian Simulation and Geophysical Inverse Modeling