Papers
Wed 11 Jun 2025
411 papers
- Can LLMs Reason About Trust?: A Pilot StudyLLM reasoning → Reasoning benchmarks and evaluation
- Integrating Universal Generative AI Platforms in Educational Labs to Foster Critical Thinking and Digital LiteracyLLM reasoning → Reasoning benchmarks and evaluation
- MVGBench: Comprehensive Benchmark for Multi-view Generation ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Reinforcement learning fine-tuning of language model for instruction following and math reasoningLLM reasoning → Reinforcement learning for reasoning +1
- Bench to the Future: A Pastcasting Benchmark for Forecasting AgentsLLM agents and tool use → Financial trading and forecasting agents
- Debunk and Infer: Multimodal Fake News Detection via Diffusion-Generated Evidence and LLM ReasoningLLM reasoning → Multimodal reasoning
- VAT-KG: Knowledge-Intensive Multimodal Knowledge Graph Dataset for Retrieval-Augmented GenerationLLM reasoning → Multimodal reasoning +2
- ASP2LJ : An Adversarial Self-Play Laywer Augmented Legal Judgment FrameworkSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- SANGAM: SystemVerilog Assertion Generation via Monte Carlo Tree Self-RefineLLM reasoning → Reasoning for agents, planning and code
- CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error ScenariosLLM agents and tool use → Tool learning and function calling
- Med-REFL: Medical Reasoning Enhancement via Self-Corrected Fine-grained ReflectionLLM reasoning → Clinical and biomedical applications
- Meta-Learning and Synthetic Data for Automated Pretraining and FinetuningSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Test-Time-Scaling for Zero-Shot Diagnosis with Visual-Language ReasoningLLM reasoning → Clinical and biomedical applications
- Evaluating Multimodal Large Language Models on Video Captioning via Monte Carlo Tree SearchMultimodal LLMs / vision-language models → Video understanding with MLLMs
- ADAgent: LLM Agent for Alzheimer's Disease Analysis with Collaborative CoordinatorLLM agents and tool use → Medical and scientific domain agents
- AlignHuman: Improving Motion and Fidelity via Timestep-Segment Preference Optimization for Audio-Driven Human AnimationDiffusion models → Video generation +1
- Autonomous Computer Vision Development with Agentic AILLM agents and tool use → Medical and scientific domain agents
- Prompt Attacks Reveal Superficial Knowledge Removal in Unlearning MethodsLLM safety and security → Machine unlearning
- LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology GenerationMechanistic interpretability → Circuits and mechanistic analysis
- Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomizationDiffusion models → Medical imaging and segmentation
- Leveraging Clinical Text and Class Conditioning for 3D Prostate MRI GenerationDiffusion models → Medical imaging and segmentation
- ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves RecognitionDiffusion models → Image generation, text-to-image and editing +1
- TTT-Bench: A Benchmark for Evaluating Reasoning Ability with Simple and Novel Tic-Tac-Toe-style GamesLLM reasoning → Reasoning for agents, planning and code
- Q2E: Query-to-Event Decomposition for Zero-Shot Multilingual Text-to-Video RetrievalMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Scalable Non-Equivariant 3D Molecule Generation via Rotational AlignmentDiffusion models → Flow matching, time series and science
- Geometric Regularity in Deterministic Sampling Dynamics of Diffusion-based Generative ModelsDiffusion models → Diffusion foundations and sampling
- AURA: A Multi-Agent Intelligence Framework for Knowledge-Enhanced Cyber Threat AttributionRetrieval-augmented generation → Privacy and security of RAG +1
- SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE ScoreDiffusion models → Image generation, text-to-image and editing
- A Navigation Framework Utilizing Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Beyond Jailbreaking: Auditing Contextual Privacy in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Wasserstein Barycenter Soft Actor-CriticDeep reinforcement learning methods → RL theory and sample complexity
- One Patient, Many Contexts: Scaling Medical AI with Contextual IntelligenceMultimodal LLMs / vision-language models → Medical vision-language models
- Attention on flow control: transformer-based reinforcement learning for lift regulation in highly disturbed flowsDeep reinforcement learning methods → RL with diffusion and flow models
- RoCA: Robust Cross-Domain End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Diffusion prior as a direct regularization term for FWIDiffusion models → Flow matching, time series and science
- Path Channels and Plan Extension Kernels: a Mechanistic Description of Planning in a Sokoban RNNDeep reinforcement learning methods → Deep RL algorithms and representations
- Self-Predictive Representations for Combinatorial Generalization in Behavioral CloningOffline RL and imitation learning from data → Imitation learning methods
- ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMsLLM reasoning → Multimodal reasoning
- ChartReasoner: Code-Driven Modality Bridging for Long-Chain Reasoning in Chart Question AnsweringLLM reasoning → Multimodal reasoning
- NnD: Diffusion-based Generation of Physically-Nonnegative ObjectsDiffusion models → 3D, point cloud and scene generation
- EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation +1
- Chat-of-Thought: Collaborative Multi-Agent System for Generating Domain Specific InformationLLM reasoning → Reasoning for agents, planning and code +1
- VITA: Zero-Shot Value Functions via Test-Time Adaptation of Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- LoRA-Edit: Controllable First-Frame-Guided Video Editing via Mask-Aware LoRA Fine-TuningDiffusion models → Video generation
- Patient-Specific Deep Reinforcement Learning for Automatic Replanning in Head-and-Neck Cancer Proton TherapyDeep reinforcement learning methods → RL for clinical treatment and surgery
- Pareto Optimal Code GenerationLLM reasoning → Reasoning for agents, planning and code
- TaskCraft: Automated Generation of Agentic TasksLLM agents and tool use → General LLM agent frameworks and benchmarks
- Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- GenBreak: Red Teaming Text-to-Image Generators Using Large Language ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content MonitoringLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Text-Aware Image Restoration with Diffusion ModelsDiffusion models → Inverse problems and image restoration
- A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video PairsLLM reasoning → Multimodal reasoning
- V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and PlanningWorld models → Embodied and robot world models
- ReSim: Reliable World Simulation for Autonomous DrivingWorld models → World models for autonomous driving +1
- Resa: Transparent Reasoning Models via SAEsLLM reasoning → Reasoning benchmarks and evaluation +1
- Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual DrawingLLM reasoning → Spatial and embodied reasoning +1
- Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal EndoscopyLLM reasoning → Clinical and biomedical applications
- LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection ChallengeLLM safety and security → Prompt injection and agent security
- Canonical Latent Representations in Conditional Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-rankingLLM reasoning → Reasoning benchmarks and evaluation
- CausalVQA: A Physically Grounded Causal Reasoning Benchmark for Video ModelsLLM reasoning → Multimodal reasoning
- VerIF: Verification Engineering for Reinforcement Learning in Instruction FollowingDeep reinforcement learning methods → RL training of language and agent models
- SAFE: Multitask Failure Detection for Vision-Language-Action ModelsVision-language-action models → Failure recovery and robustness
- LEO-VL: Efficient Scene Representation for Scalable 3D Vision-Language LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- HadaNorm: Diffusion Transformer Quantization through Mean-Centered TransformationsDiffusion models → Diffusion foundations and sampling
- From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- Apollo: A Posteriori Label-Only Membership Inference Attack Towards Machine UnlearningLLM safety and security → Machine unlearning
- "What are my options?": Explaining RL Agents with Diverse Near-Optimal Alternatives (Extended)Deep reinforcement learning methods → Deep RL algorithms and representations
- The Emergence of Abstract Thought in Large Language Models Beyond Any LanguageLLM reasoning → Reasoning benchmarks and evaluation
- Probabilistic distances-based hallucination detection in LLMs with RAGRetrieval-augmented generation → Hallucination detection in RAG
- 3D-Aware Vision-Language Models Fine-Tuning with Geometric DistillationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- UmbraTTS: Adapting Text-to-Speech to Environmental Contexts with Flow MatchingDiffusion models → Audio, speech and music
- Causal Sufficiency and Necessity Improves Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- OctoNav: Towards Generalist Embodied NavigationLLM reasoning → Spatial and embodied reasoning
- A Deep Generative Model for the Simulation of Discrete Karst NetworksDiffusion models → Flow matching, time series and science
- CoRT: Code-integrated Reasoning within ThinkingLLM reasoning → Mathematical reasoning
- DreamCS: Geometry-Aware Text-to-3D Generation with Unpaired 3D Reward SupervisionLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Automatic Treatment Planning using Reinforcement Learning for High-dose-rate Prostate BrachytherapyDeep reinforcement learning methods → RL for clinical treatment and surgery
- Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning ProtocolsLLM safety and security → Membership inference attacks
- Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +2
- ComfyUI-R1: Exploring Reasoning Models for Workflow GenerationLLM reasoning → Reasoning for agents, planning and code
- Intelligent Design 4.0: Paradigm Evolution Toward the Agentic AI EraLLM agents and tool use → General LLM agent frameworks and benchmarks
- Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML MonitoringLLM agents and tool use → General LLM agent frameworks and benchmarks
- ELBO-T2IAlign: A Generic ELBO-Based Method for Calibrating Pixel-level Text-Image Alignment in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Revisiting Visual Understanding in Multimodal Reasoning through a Lens of Image PerturbationLLM reasoning → Multimodal reasoning +1
- Patterns for a New Generation: AI and AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Adding simple structure at inference improves Vision-Language CompositionalityMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Bridging Continuous-time LQR and Reinforcement Learning via Gradient Flow of the Bellman ErrorDeep reinforcement learning methods → RL for games and combinatorial optimization
- Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal BoundsDiffusion models → Diffusion foundations and sampling
- Benchmarking Gaslighting Negation Attacks Against Reasoning ModelsLLM reasoning → Reasoning for agents, planning and code
- VideoMat: Extracting PBR Materials from Video Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Multi-level Value Alignment in Agentic AI Systems: Survey and PerspectivesLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning +1
- DGAE: Diffusion-Guided Autoencoder for Efficient Latent Representation LearningDiffusion models → Diffusion foundations and sampling
- FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- SparseSSM: Efficient Selective Structured State Space Models Can Be Pruned in One-ShotState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Effective Red-Teaming of Policy-Adherent AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- MOORL: A Framework for Integrating Offline-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model SynergiesLLM reasoning → Knowledge- and tool-augmented reasoning
- TooBadRL: Trigger Optimization to Boost Effectiveness of Backdoor Attacks on Deep Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
All 411
- Evidence-Grounded Trustworthy Multimodal Reasoning and Evaluation Benchmark in Complex Urban ScenesLLM reasoning → Multimodal reasoning +1
- KG-Infused RAG: Augmenting Corpus-Based RAG with External Knowledge GraphsRetrieval-augmented generation → RAG pipeline design and evaluation
- AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant T2I Adversarial PatchesDiffusion models → Robustness, privacy and adversarial aspects
- Athena: Enhancing Multimodal Reasoning with Data-efficient Process Reward ModelsLLM reasoning → Reinforcement learning for reasoning +1
- Revisit What You See: Revealing Visual Semantics in Vision Tokens to Guide LVLM DecodingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical ReasoningLLM reasoning → Clinical and biomedical applications +1
- Efficient Preference-Based Reinforcement Learning: Randomized Exploration Meets Experimental DesignLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- A Unified Theory of Compositionality, Modularity, and Interpretability in Markov Decision ProcessesDeep reinforcement learning methods → RL theory and sample complexity
- Fast Monte Carlo Tree Diffusion: 100x Speedup via Parallel Sparse PlanningDiffusion models → Diffusion and flow policies for robotics
- Marrying Autoregressive Transformer and Diffusion with Multi-Reference AutoregressionDiffusion models → Image generation, text-to-image and editing
- Towards Bridging the Reward-Generation Gap in Direct Alignment AlgorithmsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- LLMs Cannot Reliably Judge (Yet?): A Comprehensive Assessment on the Robustness of LLM-as-a-JudgeLLM safety and security → Safety alignment, refusal and guardrails
- GigaChat Family: Efficient Russian Language Modeling Through Mixture of Experts ArchitectureMixture-of-experts → MoE large language models
- A High-Quality Dataset and Reliable Evaluation for Interleaved Image-Text GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Time-Unified Diffusion Policy with Action Discrimination for Robotic ManipulationDiffusion models → Diffusion and flow policies for robotics
- A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI AutonomyLLM agents and tool use → General LLM agent frameworks and benchmarks
- Noise Conditional Variational Score DistillationDiffusion models → Diffusion foundations and sampling
- Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial OptimizationDeep reinforcement learning methods → RL for games and combinatorial optimization
- Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation ModelsLLM reasoning → Reasoning for agents, planning and code
- Revisiting Diffusion Models: From Generative Pre-training to One-Step GenerationDiffusion models → Diffusion foundations and sampling
- LPO: Towards Accurate GUI Agent Interaction via Location Preference OptimizationLLM agents and tool use → GUI and mobile agents +1
- Anomaly Detection and Generation with Diffusion Models: A SurveyDiffusion models → Flow matching, time series and science
- SkillBlender: Towards Versatile Humanoid Whole-Body Loco-Manipulation via Skill BlendingDeep reinforcement learning methods → RL for robot locomotion and manipulation
- SAGE: Exploring the Boundaries of Unsafe Concept Domain with Semantic-Augment ErasingDiffusion models → Robustness, privacy and adversarial aspects
- DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety PromptMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-ExpertsMixture-of-experts → MoE large language models
- ErrorEraser: Unlearning Data Bias for Improved Continual LearningLLM safety and security → Machine unlearning
- RePO: Replay-Enhanced Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- Know What You Don't Know: Uncertainty Calibration of Process Reward ModelsLLM reasoning → Reinforcement learning for reasoning +1
- Multi-Agent Language Models: Advancing Cooperation, Coordination, and AdaptationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Towards Efficient and Effective Alignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Workflow-Based Evaluation of Music Generation Systems
- Active Learning for Forecasting Severity among Patients with Post Acute Sequelae of SARS-CoV-2
- Learning Interpretable Rules from Neural Networks: Neurosymbolic AI for Radar Hand Gesture Recognition
- Features-based embedding or Feature-grounding
- Latent Factorization of Tensors with Threshold Distance Weighted Loss for Traffic Data Estimation
- From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining
- Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search
- GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations
- Efficient Multilingual ASR Finetuning via LoRA Language Experts
- HI-SQL: Optimizing Text-to-SQL Systems through Dynamic Hint Integration
- AI shares emotion with humans across languages and cultures
- ICE-ID: A Novel Historical Census Dataset for Longitudinal Identity Resolution
- The NordDRG AI Benchmark for Large Language Models
- Analysis of Anonymous User Interaction Relationships and Prediction of Advertising Feedback Based on Graph Neural Network
- Enhancing Bagging Ensemble Regression with Data Integration for Time Series-Based Diabetes Prediction
- ScholarSearch: Benchmarking Scholar Searching Ability of LLMs
- Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety
- Continuously Updating Digital Twins using Large Language Models
- ChatbotManip: A Dataset to Facilitate Evaluation and Oversight of Manipulative Chatbot Behaviour
- Towards a general-purpose foundation model for fMRI analysis
- Evaluating BiLSTM and CNN+GRU Approaches for Human Activity Recognition Using WiFi CSI Data
- Synthetic Geology: Structural Geology Meets Deep Learning
- Vector Representations of Vessel Trees
- VIBE: Can a VLM Read the Room?
- Brain-wide interpolation and conditioning of gene expression in the human brain using Implicit Neural Representations
- Digitization of Document and Information Extraction using OCR
- SLRNet: A Real-Time LSTM-Based Sign Language Recognition System
- QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation
- HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data
- Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels
- LLM-to-Phy3D: Physically Conform Online 3D Object Generation with LLMs
- 3D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic Tasks
- HQFNN: A Compact Quantum-Fuzzy Neural Network for Accurate Image Classification
- On the development of an AI performance and behavioural measures for teaching and classroom management
- FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic Segmentation
- ToxSyn-PT: A Synthetic Fine-Grained Dataset of Minority-Targeted Toxic Language in Portuguese
- A new type of federated clustering: A non-model-sharing approach
- DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos
- Classifying Unreliable Narrators with Large Language Models
- California Crop Yield Benchmark: Combining Satellite Image, Climate, Evapotranspiration, and Soil Data Layers for County-Level Yield Forecasting of Over 70 Crops
- Genre Controlled Music Generation via Activation Steering
- Cross-Learning Between ECG and PCG: Exploring Common and Exclusive Characteristics of Bimodal Electromechanical Cardiac Waveforms
- AWP: Activation-Aware Weight Pruning and Quantization with Projected Gradient Descent
- Code Roulette: How Prompt Variability Affects LLM Code Generation
- DynaSubVAE: Adaptive Subgrouping for Scalable and Robust OOD Detection
- Exploring Topological and Localization Phenomena in SSH Chains under Generalized AAH Modulation: A Computational Approach
- Towards Responsible AI: Advances in Safety, Fairness, and Accountability of Autonomous Systems
- Improving Oral Cancer Outcomes Through Machine Learning and Dimensionality Reduction
- Optimizing Genetic Algorithms with Multilayer Perceptron Networks for Enhancing TinyFace Recognition
- Improving Personalized Search with Regularized Low-Rank Parameter Updates
- A Comparative Study of Machine Learning Techniques for Early Prediction of Diabetes
- Correlation vs causation in Alzheimer's disease: an interpretability-driven study
- Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency
- Retrieval of Surface Solar Radiation through Implicit Albedo Recovery from Temporal Context
- Momentum Multi-Marginal Schr"odinger Bridge Matching
- The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset
- Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective
- Probabilistic Variational Contrastive Learning
- Measuring Corporate Human Capital Disclosures: Lexicon, Data, Code, and Research Opportunities
- Analyzing Emotions in Bangla Social Media Comments Using Machine Learning and LIME
- When Large Language Models are Reliable for Judging Empathic Communication
- Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors
- Physiological-model-based neural network for modeling the metabolic-heart rate relationship during physical activities
- Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective
- Survival Analysis as Imprecise Classification with Trainable Kernels
- Unsupervised Elicitation of Language Models
- Statistical Guarantees for Offline Domain Randomization
- A Conjecture on a Fundamental Trade-Off between Certainty and Scope in Symbolic and Generative AI
- Meet Me at the Arm: The Cooperative Multi-Armed Bandits Problem with Shareable Arms
- GRAIL: A Benchmark for GRaph ActIve Learning in Dynamic Sensing Environments
- Deteccc~ao da Psor'iase Utilizando Vis~ao Computacional: Uma Abordagem Comparativa Entre CNNs e Vision Transformers
- A Manually Annotated Image-Caption Dataset for Detecting Children in the Wild
- AI5GTest: AI-Driven Specification-Aware Automated Testing and Validation of 5G O-RAN Components
- One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture
- Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning Approach
- Fundamental Limits of Learning High-dimensional Simplices in Noisy Regimes
- Estimating the Joint Probability of Scenario Parameters with Gaussian Mixture Copula Models
- When Meaning Stays the Same, but Models Drift: Evaluating Quality of Service under Token-Level Behavioral Instability in LLMs
- Unsupervised Deep Clustering of MNIST with Triplet-Enhanced Convolutional Autoencoders
- Leveraging LLMs for Mission Planning in Precision Agriculture
- Efficient kernelized bandit algorithms via exploration distributions
- Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection
- DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding
- A quantum semantic framework for natural language processing
- Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems
- Online Discovery of Simulation Models for Evolving Business Processes (Extended Version)
- Improving the performance of optical inverse design of multilayer thin films using CNN-LSTM tandem neural networks
- Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling
- DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos
- PlayerOne: Egocentric World Simulator
- eFlesh: Highly customizable Magnetic Touch Sensing using Cut-Cell Microstructures
- Large Language Models for Toxic Language Detection in Low-Resource Balkan Languages
- Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation
- Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation
- Hearing Hands: Generating Sounds from Physical Interactions in 3D Scenes
- EditInspector: A Benchmark for Evaluation of Text-Guided Image Edits
- InterActHuman: Multi-Concept Human Animation with Layout-Aligned Audio Conditions
- Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs
- AnimateAnyMesh: A Feed-Forward 4D Foundation Model for Text-Driven Universal Mesh Animation
- Efficient Part-level 3D Object Generation via Dual Volume Packing
- How Do People Revise Inconsistent Beliefs? Examining Belief Revision in Humans with User Studies
- When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text
- Vectorized Region Based Brush Strokes for Artistic Rendering
- Almost-Optimal Local-Search Methods for Sparse Tensor PCA
- Vision Generalist Model: A Survey
- Outside Knowledge Conversational Video (OKCV) Dataset -- Dialoguing over Videos
- UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting
- Sampling Theory for Super-Resolution with Implicit Neural Representations
- The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability
- Fluoroscopic Shape and Pose Tracking of Catheters with Custom Radiopaque Markers
- Course Project Report: Comparing MCMC and Variational Inference for Bayesian Probabilistic Matrix Factorization on the MovieLens Dataset
- Structural-Spectral Graph Convolution with Evidential Edge Learning for Hyperspectral Image Clustering
- MetricHMSR:Metric Human Mesh and Scene Recovery from Monocular Images
- Aspect-Based Opinion Summarization with Argumentation Schemes
- Only-Style: Stylistic Consistency in Image Generation without Content Leakage
- PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants
- CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects
- A look at adversarial attacks on radio waveforms from discrete latent space
- EquiCaps: Predictor-Free Pose-Aware Pre-Trained Capsule Networks
- Causal Climate Emulation with Bayesian Filtering
- Learning single-index models via harmonic decomposition
- The Less You Depend, The More You Learn: Synthesizing Novel Views from Sparse, Unposed Images with Minimal 3D Knowledge
- Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation
- Stakeholder Participation for Responsible AI Development: Disconnects Between Guidance and Current Practice
- Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
- Machine Learning-Based Classification of Oils Using Dielectric Properties and Microwave Resonant Sensing
- Guided Graph Compression for Quantum Graph Neural Networks
- Advancing Exchange Rate Forecasting: Leveraging Machine Learning and AI for Enhanced Accuracy in Global Financial Markets
- IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments
- Dataset of News Articles with Provenance Metadata for Media Relevance Assessment
- Learning to Align: Addressing Character Frequency Distribution Shifts in Handwritten Text Recognition
- DynaSplat: Dynamic-Static Gaussian Splatting with Hierarchical Motion Decomposition for Scene Reconstruction
- MMME: A Spontaneous Multi-Modal Micro-Expression Dataset Enabling Visual-Physiological Fusion
- Error-Guided Pose Augmentation: Enhancing Rehabilitation Exercise Assessment through Targeted Data Generation
- EmoNet-Voice: A Fine-Grained, Expert-Verified Benchmark for Speech Emotion Detection
- A Weighted Loss Approach to Robust Federated Learning under Data Heterogeneity
- Superstudent intelligence in thermodynamics
- Identifiability Challenges in Sparse Linear Ordinary Differential Equations
- Metritocracy: Representative Metrics for Lite Benchmarks
- Generalizing Supervised Contrastive learning: A Projection Perspective
- Regularizing Learnable Feature Extraction for Automatic Speech Recognition
- Do LLMs Give Psychometrically Plausible Responses in Educational Assessments?
- Incorporating Linguistic Constraints from External Knowledge Source for Audio-Visual Target Speech Extraction
- A theoretical framework for self-supervised contrastive learning for continuous dependent data
- Accurate and efficient zero-shot 6D pose estimation with frozen foundation models
- Q-SAM2: Accurate Quantization for Segment Anything Model 2
- On the Similarities of Embeddings in Contrastive Learning
- Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space
- Cross-Channel Unlabeled Sensing over a Union of Signal Subspaces
- Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning
- Learning to Optimize Package Picking for Large-Scale, Real-World Robot Induction
- Alice and the Caterpillar: A more descriptive null model for assessing data mining results
- Large Language Models for Combinatorial Optimization of Design Structure Matrix
- Hierarchical Image Matching for UAV Absolute Visual Localization via Semantic and Structural Constraints
- Class Similarity-Based Multimodal Classification under Heterogeneous Category Sets
- Towards Multimodal Graph Large Language Model
- MPFNet: A Multi-Prior Fusion Network with a Progressive Training Strategy for Micro-Expression Recognition
- AtmosMJ: Revisiting Gating Mechanism for AI Weather Forecasting Beyond the Year Scale
- Empirical and computer-aided robustness analysis of long-step and accelerated methods in smooth convex optimization
- The Four Color Theorem for Cell Instance Segmentation
- Non-Contact Health Monitoring During Daily Personal Care Routines
- Auto-Compressing Networks
- Training-Free Voice Conversion with Factorized Optimal Transport
- Fine-Tuning Large Audio-Language Models with LoRA for Precise Temporal Localization of Prolonged Exposure Therapy Elements
- ABS: Enforcing Constraint Satisfaction On Generated Sequences Via Automata-Guided Beam Search
- CHIP: A multi-sensor dataset for 6D pose estimation of chairs in industrial settings
- Towards Practical Alzheimer's Disease Diagnosis: A Lightweight and Interpretable Spiking Neural Model
- Knockoffs Inference under Privacy Constraints
- Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models
- Wasserstein Hypergraph Neural Network
- Wavelet Scattering Transform and Fourier Representation for Offline Detection of Malicious Clients in Federated Learning
- Is Fine-Tuning an Effective Solution? Reassessing Knowledge Editing for Unstructured Data
- Query-Level Uncertainty in Large Language Models
- CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal Brain
- PD2GS: Part-Level Decoupling and Continuous Deformation of Articulated Objects via Gaussian Splatting
- Empirical Quantification of Spurious Correlations in Malware Detection
- A Cytology Dataset for Early Detection of Oral Squamous Cell Carcinoma
- SyncFed: Time-Aware Federated Learning through Explicit Timestamping and Synchronization
- Intent Factored Generation: Unleashing the Diversity in Your Language Model
- Team Anotheroption at SemEval-2025 Task 8: Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA
- DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy
- HopaDIFF: Holistic-Partial Aware Fourier Conditioned Diffusion for Referring Human Action Segmentation in Multi-Person Scenarios
- Scaling Laws for Uncertainty in Deep Learning
- Real-Time Network Traffic Forecasting with Missing Data: A Generative Model Approach
- Using Sign Language Production as Data Augmentation to enhance Sign Language Translation
- Modeling Probabilistic Reduction using Information Theory and Naive Discriminative Learning
- Evasion Attacks Against Bayesian Predictive Models
- HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding
- In-Context Bias Propagation in LLM-Based Tabular Data Generation
- Benchmarking Debiasing Methods for LLM-based Parameter Estimates
- ECAM: A Contrastive Learning Approach to Avoid Environmental Collision in Trajectory Forecasting
- GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras
- Consistent Story Generation: Unlocking the Potential of Zigzag Sampling
- Accelerating Large-Scale Regularized High-Order Tensor Recovery
- Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks
- Memorization in Language Models through the Lens of Intrinsic Dimension
- SemanticSplat: Feed-Forward 3D Scene Understanding with Language-Aware Gaussian Fields
- Towards Open Foundation Language Model and Corpus for Macedonian: A Low-Resource Language
- Gender Bias in English-to-Greek Machine Translation
- MEDUSA: A Multimodal Deep Fusion Multi-Stage Training Framework for Speech Emotion Recognition in Naturalistic Conditions
- GLD-Road:A global-local decoding road network extraction model for remote sensing images
- Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments
- Tightly-Coupled LiDAR-IMU-Leg Odometry with Online Learned Leg Kinematics Incorporating Foot Tactile Information
- STOAT: Spatial-Temporal Probabilistic Causal Inference Network
- 3DGeoDet: General-purpose Geometry-aware Image-based 3D Object Detection
- Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS
- Neural Functions for Learning Periodic Signal
- You Are What You Say: Exploiting Linguistic Content for VoicePrivacy Attacks
- How attention simplifies mental representations for planning
- HAIF-GS: Hierarchical and Induced Flow-Guided Gaussian Splatting for Dynamic Scene
- LLM-Powered CPI Prediction Inference with Online Text Time Series
- A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications
- Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals
- TransXSSM: A Hybrid Transformer State Space Model with Unified Rotary Position Embedding
- Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference
- EnerBridge-DPO: Energy-Guided Protein Inverse Folding with Markov Bridges and Direct Preference Optimization
- Bridging Online Behavior and Clinical Insight: A Longitudinal LLM-based Study of Suicidality on YouTube Reveals Novel Digital Markers
- DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects
- BemaGANv2: Discriminator Combination Strategies for GAN-based Vocoders in Long-Term Audio Generation
- Adv-BMT: Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation
- TinySplat: Feedforward Approach for Generating Compact 3D Scene Representation
- On a few pitfalls in KL divergence gradient estimation for RL
- WakeupUrban: Unsupervised Semantic Segmentation of Mid-20th century Urban Landscapes with Satellite Imagery
- Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning
- Optimizing Cooperative Multi-Object Tracking using Graph Signal Processing
- Open-Set Domain Generalization through Spectral-Spatial Uncertainty Disentanglement for Hyperspectral Image Classification
- Abstraction-Based Proof Production in Formal Verification of Neural Networks
- NDCG-Consistent Softmax Approximation with Accelerated Convergence
- Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform
- Safe Screening Rules for Group SLOPE
- UniToMBench: Integrating Perspective-Taking to Improve Theory of Mind in LLMs
- OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary
- Harmonizing and Merging Source Models for CLIP-based Domain Generalization
- TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision
- Attention-Bayesian Hybrid Approach to Modular Multiple Particle Tracking
- Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity
- When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
- Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training
- A Novel Lightweight Transformer with Edge-Aware Fusion for Remote Sensing Image Captioning
- Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting
- Hidden in Plain Sight: Evaluation of the Deception Detection Capabilities of LLMs in Multimodal Settings
- ODG: Occupancy Prediction Using Dual Gaussians
- PGDA-KGQA: A Prompt-Guided Generative Framework with Multiple Data Augmentation Strategies for Knowledge Graph Question Answering
- Synthetic Human Action Video Data Generation with Pose Transfer
- Token Constraint Decoding Improves Robustness on Question Answering for Large Language Models
- Scoop-and-Toss: Dynamic Object Collection for Quadrupedal Systems
- SRPL-SFDA: SAM-Guided Reliable Pseudo-Labels for Source-Free Domain Adaptation in Medical Image Segmentation
- A theoretical basis for model collapse in recursive training
- Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
- Efficient Prediction of SO(3)-Equivariant Hamiltonian Matrices via SO(2) Local Frames
- SLED: A Speculative LLM Decoding Framework for Efficient Edge Serving
- A Hierarchical Probabilistic Framework for Incremental Knowledge Tracing in Classroom Settings
- Comparing human and LLM politeness strategies in free production
- Beyond Nash Equilibrium: Bounded Rationality of LLMs and humans in Strategic Decision-making
- ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model
- Bipedal Balance Control with Whole-body Musculoskeletal Standing and Falling Simulations
- Binary classification for perceived quality of headlines and links on worldwide news websites, 2018-2024
- UniForward: Unified 3D Scene and Semantic Field Reconstruction via Feed-Forward Gaussian Splatting from Only Sparse-View Images
- CoLMbo: Speaker Language Model for Descriptive Profiling
- Inherited or produced? Inferring protein production kinetics when protein counts are shaped by a cell's division history
- ScaleLSD: Scalable Deep Line Segment Detection Streamlined
- COGENT: A Curriculum-oriented Framework for Generating Grade-appropriate Educational Content
- "I Said Things I Needed to Hear Myself": Peer Support as an Emotional, Organisational, and Sociotechnical Practice in Singapore
- Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL
- A new approach for image segmentation based on diffeomorphic registration and gradient fields
- "Is This Really a Human Peer Supporter?": Misalignments Between Peer Supporters and Experts in LLM-Supported Interactions
- Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation
- DrVoice: Parallel Speech-Text Voice Conversation Model via Dual-Resolution Speech Representations
- Adversarial Surrogate Risk Bounds for Binary Classification
- An Effective End-to-End Solution for Multimodal Action Recognition
- Ming-Omni: A Unified Multimodal Model for Perception and Generation
- CheckManual: A New Challenge and Benchmark for Manual-based Appliance Manipulation
- Latent Multi-Head Attention for Small Language Models
- Intelligent System of Emergent Knowledge: A Coordination Fabric for Billions of Minds
- InstructPro: Natural Language Guided Ligand-Binding Protein Design
- MSSDF: Modality-Shared Self-supervised Distillation for High-Resolution Multi-modal Remote Sensing Image Learning
- On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention
- Alzheimer's Dementia Detection Using Perplexity from Paired Large Language Models
- Surrogate models to optimize plasma assisted atomic layer deposition in high aspect ratio features
- What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation?