Papers
Wed 15 Jan 2025
241 papers
- The Impact of Big Five Personality Traits on AI Agent Decision-Making in Public Spaces: A Social Simulation StudyLLM agents and tool use → Social simulation and multi-agent debate
- Temporal Reasoning in AI systemsLLM reasoning → Knowledge- and tool-augmented reasoning
- HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-locationEfficient LLM inference and serving → Serving systems and request scheduling
- Scopes of AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Efficient Traffic Prediction Through Spatio-Temporal DistillationKnowledge distillation → Graph neural network distillation
- EVAL: EigenVector-based Average-reward LearningDeep reinforcement learning methods → RL theory and sample complexity
- Grounding Text-to-Image Diffusion Models for Controlled High-Quality Image GenerationDiffusion models → Image generation, text-to-image and editing
- Embodied Scene Understanding for Vision Language Models via MetaVQAMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Agentic Retrieval-Augmented Generation: A Survey on Agentic RAGRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration ApproachLLM reasoning → Test-time compute and efficient thinking
- Inferring Transition Dynamics from Value FunctionsDeep reinforcement learning methods → RL theory and sample complexity
- Average-Reward Soft Actor-CriticDeep reinforcement learning methods → RL theory and sample complexity
- Generative diffusion model with inverse renormalization group flowsDiffusion models → Diffusion foundations and sampling
- Decompose-ToM: Enhancing Theory of Mind Reasoning in Large Language Models through Simulation and Task DecompositionLLM reasoning → Reasoning benchmarks and evaluation
- SHYI: Action Support for Contrastive Learning in High-Fidelity Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator DiffusionDiffusion models → Inverse problems and image restoration
- CookingDiffusion: Cooking Procedural Image Generation with Stable DiffusionDiffusion models → Image generation, text-to-image and editing
- Generative Visual Commonsense Answering and Explaining with Generative Scene Graph ConstructingLLM reasoning → Multimodal reasoning
- Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video DiffusionDiffusion models → Video generation
- How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion BiasDiffusion models → Image generation, text-to-image and editing
- Multimodal LLMs Can Reason about Aesthetics in Zero-ShotLLM reasoning → Multimodal reasoning +1
- Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy HessiansKnowledge distillation → Graph neural network distillation
- SimGen: A Diffusion-Based Framework for Simultaneous Surgical Image and Segmentation Mask GenerationDiffusion models → Medical imaging and segmentation
- Aegis2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM GuardrailsLLM safety and security → Safety alignment, refusal and guardrails
- RepVideo: Rethinking Cross-Layer Representation for Video GenerationDiffusion models → Video generation
- Physical AI Agents: Integrating Cognitive Intelligence with Real-World ActionLLM agents and tool use → Multimodal and embodied agents
- A Reinforcement Learning Approach to Quiet and Safe UAM Traffic ManagementDeep reinforcement learning methods → RL for robot navigation and UAV control
- PIQL: Projective Implicit Q-Learning with Support Constraint for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Perspective-Aware Teaching: Adapting Knowledge for Heterogeneous DistillationKnowledge distillation → General knowledge distillation methods
- Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- MANTA: Diffusion Mamba for Efficient and Effective Stochastic Long-Term Dense AnticipationState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public SectorLLM safety and security → Prompt injection and agent security
- Networked Agents in the Dark: Team Value Learning under Partial ObservabilityDeep reinforcement learning methods → RL for games and combinatorial optimization
- INTA: Intent-Based Translation for Network Configuration with LLM AgentsLLM agents and tool use → Agentic AI for wireless networks
- Knowledge Graph-based Retrieval-Augmented Generation for Schema MatchingRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- SPEQ: Offline Stabilization Phases for Efficient Q-Learning in High Update-To-Data Ratio Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Product of Gaussian Mixture Diffusion Model for non-linear MRI InversionDiffusion models → Medical imaging and segmentation
- Application of Deep Reinforcement Learning to UAV Swarming for Ground SurveillanceDeep reinforcement learning methods → RL for robot navigation and UAV control
- Reassessing the Role of Chain-of-Thought in Sentiment Analysis: Insights and LimitationsLLM reasoning → Prompting and chain-of-thought reasoning
- RLHS: Mitigating Misalignment in RLHF with Hindsight SimulationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Towards Aligned Data Forgetting via Twin Machine UnlearningLLM safety and security → Machine unlearning
- Assessing the Sensitivity and Alignment of FOL Closeness MetricsLLM reasoning → Reasoning benchmarks and evaluation
- Neural Risk-sensitive Satisficing in Contextual BanditsDeep reinforcement learning methods → RL theory and sample complexity
- Watermarking in Diffusion Model: Gaussian Shading with Exact Diffusion Inversion via Coupled Transformations (EDICT)Diffusion models → Robustness, privacy and adversarial aspects
- Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic DesignLLM reasoning → Test-time compute and efficient thinking
- Dynamic Knowledge Integration for Enhanced Vision-Language ReasoningLLM reasoning → Multimodal reasoning +1
- Reinforcement Learning-Enhanced Procedural Generation for Dynamic Narrative-Driven AR ExperiencesDeep reinforcement learning methods → RL for games and combinatorial optimization
- The Devil is in Temporal Token: High Quality Video Reasoning SegmentationLLM reasoning → Multimodal reasoning
- Dynamic Portfolio Optimization via Augmented DDPG with Quantum Price Levels-Based Trading StrategyDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Doc-Guided Sent2Sent++: A Sent2Sent++ Agent with Doc-Guided memory for Document-level Machine TranslationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Computationally Intensive Research: Advancing a Role for Secondary Analysis of Qualitative Data
- A Coordination-based Approach for Focused Learning in Knowledge-Based Systems
- Growth Patterns of Inference
- On the challenges of detecting MCI using EEG in the wild
- WhiSPA: Semantically and Psychologically Aligned Whisper with Self-Supervised Contrastive and Student-Teacher Learning
- Evaluation of Seismic Artificial Intelligence with Uncertainty
- Off-policy Evaluation for Payments at Adyen
- Securing the AI Frontier: Urgent Ethical and Regulatory Imperatives for AI-Driven Cybersecurity
- Efficient Semi-Supervised Adversarial Training via Latent Clustering-Based Data Reduction
- The Mathematics of Artificial Intelligence
- Adapting Beyond the Depth Limit: Counter Strategies in Large Imperfect Information Games
- GLow -- A Novel, Flower-Based Simulated Gossip Learning Strategy
- BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation
- A Framework for Mining Collectively-Behaving Bots in MMORPGs
- Can Large Language Models Predict the Outcome of Judicial Decisions?
- LeMo: Enabling LEss Token Involvement for MOre Context Fine-tuning
- iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use
- 3D Modeling and Automated Measurement of Concrete Cracks via Segment Anything Refinement and Visual Inertial LiDAR Fusion
- Testing Noise Assumptions of Learning Algorithms
- Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
- Guiding Retrieval using LLM-based Listwise Rankers
- Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging
- A Blockchain-Enabled Approach to Cross-Border Compliance and Trust
- Enhancing Graph Representation Learning with Localized Topological Features
- Generative AI Takes a Statistics Exam: A Comparison of Performance between ChatGPT3.5, ChatGPT4, and ChatGPT4o-mini
- Attention is All You Need Until You Need Retention
- The Veln(ia)s is in the Details: Evaluating LLM Judgment on Latvian and Lithuanian Short Answer Matching
- Towards Understanding Extrapolation: a Causal Lens
- A Vessel Bifurcation Landmark Pair Dataset for Abdominal CT Deformable Image Registration (DIR) Validation
- AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning
- Evaluating GenAI for Simplifying Texts for Education: Improving Accuracy and Consistency for Enhanced Readability
- Absolute Risk Prediction for Cannabis Use Disorder in Adolescence and Early Adulthood Using Bayesian Machine Learning
- VCRScore: Image captioning metric based on V&L Transformers, CLIP, and precision-recall
- Towards Multilingual LLM Evaluation for Baltic and Nordic languages: A study on Lithuanian History
- Towards Federated Multi-Armed Bandit Learning for Content Dissemination using Swarm of UAVs
- Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation
- Gradient Descent Converges Linearly to Flatter Minima than Gradient Flow in Shallow Linear Networks
- Benchmarking Robustness of Contrastive Learning Models for Medical Image-Report Retrieval
- Deep Self-Supervised Disturbance Mapping with the OPERA Sentinel-1 Radiometric Terrain Corrected SAR Backscatter Product
- Multilingual LLMs Struggle to Link Orthography and Semantics in Bilingual Word Processing
- Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment
- Multi-Class Traffic Assignment using Multi-View Heterogeneous Graph Attention Networks
- Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation
- Generative Medical Image Anonymization Based on Latent Code Projection and Optimization
- Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation
- A Non-autoregressive Model for Joint STT and TTS
- Similarity-Quantized Relative Difference Learning for Improved Molecular Activity Prediction
- Tracking the Takes and Trajectories of English-Language News Narratives across Trustworthy and Worrisome Websites
- Relation U-Net
- Self Pre-training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging
All 241
- SteLLA: A Structured Grading System Using LLMs with RAG
- Salient Information Preserving Adversarial Training Improves Clean and Robust Accuracy
- Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks
- Polyp detection in colonoscopy images using YOLOv11
- Generating Realistic Synthetic Head Rotation Data for Extended Reality using Deep Learning
- Dynamic-Aware Spatio-temporal Representation Learning for Dynamic MRI Reconstruction
- Anthropomorphic Features for On-Line Signatures
- Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models
- Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities
- TCMM: Token Constraint and Multi-Scale Memory Bank of Contrastive Learning for Unsupervised Person Re-identification
- Pseudolabel guided pixels contrast for domain adaptive semantic segmentation
- AI-RAN: Transforming RAN with AI-driven Computing Infrastructure
- Improving Stability Estimates in Adversarial Explainable AI through Alternate Search Methods
- Vision Foundation Models for Computed Tomography
- CrystalGRW: Generative Modeling of Crystal Structures with Targeted Properties via Geodesic Random Walks
- VECT-GAN: A variationally encoded generative model for overcoming data scarcity in pharmaceutical science
- Personality Modeling for Persuasion of Misinformation using AI Agent
- Compositional Generative Model of Unbounded 4D Cities
- CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation
- Development and Validation of the Provider Documentation Summarization Quality Instrument for Large Language Models
- Learning to Extract Cross-Domain Aspects and Understanding Sentiments Using Large Language Models
- Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography
- Training-Aware Risk Control for Intensity Modulated Radiation Therapies Quality Assurance with Conformal Prediction
- An analysis of data variation and bias in image-based dermatological datasets for machine learning classification
- Kolmogorov-Arnold Networks for Time Series Granger Causality Inference
- Analyzing the Ethical Logic of Eight Large Language Models
- Approximating Fixpoints of Approximated Functions
- Applying General Turn-taking Models to Conversational Human-Robot Interaction
- Visual WetlandBirds Dataset: Bird Species Identification and Behavior Recognition in Videos
- Disentangling Exploration of Large Language Models by Optimal Exploitation
- Learning Joint Denoising, Demosaicing, and Compression from the Raw Natural Image Noise Dataset
- Discovery of Spatter Constitutive Models in Additive Manufacturing Using Machine Learning
- GenAI Content Detection Task 3: Cross-Domain Machine-Generated Text Detection Challenge
- Empowering Agricultural Insights: RiceLeafBD -- A Novel Dataset and Optimal Model Selection for Rice Leaf Disease Diagnosis through Transfer Learning Technique
- Lights, Camera, Matching: The Role of Image Illumination in Fair Face Recognition
- Computing Game Symmetries and Equilibria That Respect Them
- Multi-View Transformers for Airway-To-Lung Ratio Inference on Cardiac CT Scans: The C4R Study
- Enhanced Multi-Scale Cross-Attention for Person Image Generation
- Automated Retrosynthesis Planning of Macromolecules Using Large Language Models and Knowledge Graphs
- Karatsuba Matrix Multiplication and its Efficient Custom Hardware Implementations
- A Partial Initialization Strategy to Mitigate the Overfitting Problem in CATE Estimation with Hidden Confounding
- PAC Learnability of Scenario Decision-Making Algorithms: Necessary Conditions and Sufficient Conditions
- Improved Compression Bounds for Scenario Decision Making
- Increasing Batch Size Improves Convergence of Stochastic Gradient Descent with Momentum
- Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
- Silent Abandonment in Text-Based Contact Centers: Identifying, Quantifying, and Mitigating its Operational Impacts
- ARMOR: Shielding Unlearnable Examples against Data Augmentation
- Digital Phenotyping for Adolescent Mental Health: A Feasibility Study Employing Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data
- Graph Counterfactual Explainable AI via Latent Space Traversal
- RouteNet-Gauss: Hardware-Enhanced Network Modeling with Machine Learning
- Automatic tuning of communication protocols for vehicular ad hoc networks using metaheuristics
- Exploring Task-Level Optimal Prompts for Visual In-Context Learning
- ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind
- MMDocIR: Benchmarking Multimodal Retrieval for Long Documents
- Deep Learning Meets Queue-Reactive: A Framework for Realistic Limit Order Book Simulation
- A Closer Look at the Learnability of Out-of-Distribution (OOD) Detection
- Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution
- IDEA: Image Description Enhanced CLIP-Adapter
- Human Pose-Constrained UV Map Estimation
- XMusic: Towards a Generalized and Controllable Symbolic Music Generation Framework
- Multi-visual modality micro drone-based structural damage detection
- Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning
- Deep learning for temporal super-resolution 4D Flow MRI
- Nesterov Acceleration for Ensemble Kalman Inversion and Variants
- How Developers Interact with AI: A Taxonomy of Human-AI Collaboration in Software Engineering
- Admitting Ignorance Helps the Video Question Answering Models to Answer
- Enhanced Large Language Models for Effective Screening of Depression and Anxiety
- Few-Shot Learner Generalizes Across AI-Generated Image Detection
- Expanding Vietnamese SentiWordNet to Improve Performance of Vietnamese Sentiment Analysis Models
- Is magnitude 'generically continuous' for finite metric spaces?
- MeshMask: Physics-Based Simulations with Masked Graph Neural Networks
- Resource-Constrained Federated Continual Learning: What Does Matter?
- GRAPPA -- A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures
- Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models
- textttInfoHier: Hierarchical Information Extraction via Encoding and Embedding
- The Inherent Limits of Pretrained LLMs: The Unexpected Convergence of Instruction Tuning and In-Context Learning Capabilities
- Self-supervised Transformation Learning for Equivariant Representations
- Disentangled Interleaving Variational Encoding
- Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines
- RealVVT: Towards Photorealistic Video Virtual Try-on via Spatio-Temporal Consistency
- Diagonal Over-parameterization in Reproducing Kernel Hilbert Spaces as an Adaptive Feature Model: Generalization and Adaptivity
- Investigating Parameter-Efficiency of Hybrid QuGANs Based on Geometric Properties of Generated Sea Route Graphs
- FlexiClip: Locality-Preserving Free-Form Character Animation
- GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping
- TimeFlow: Temporal Conditioning for Longitudinal Brain MRI Registration and Aging Analysis
- A Survey on Facial Image Privacy Preservation in Cloud-Based Services
- BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module
- ZeroStereo: Zero-shot Stereo Matching from Single Images
- Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor Graph
- Joint Learning of Depth and Appearance for Portrait Image Animation
- MAGNET: Augmenting Generative Decoders with Representation Learning and Infilling Capabilities
- MonSter++: Unified Stereo Matching, Multi-view Stereo, and Real-time Stereo with Monodepth Priors
- Quantum Reservoir Computing and Risk Bounds
- Detecting Wildfire Flame and Smoke through Edge Computing using Transfer Learning Enhanced Deep Learning Models
- SWSC: Shared Weight for Similar Channel in LLM
- Self-Organizing Edge Computing Distribution Framework for Visual SLAM
- Transformer-based Multivariate Time Series Anomaly Localization
- A Learning Algorithm That Attains the Human Optimum in a Repeated Human-Machine Interaction Game
- ViBidirectionMT-Eval: Machine Translation for Vietnamese-Chinese and Vietnamese-Lao language pair
- CT-PatchTST: Channel-Time Patch Time-Series Transformer for Long-Term Renewable Energy Forecasting
- Disjoint Processing Mechanisms of Hierarchical and Linear Grammars in Large Language Models
- Computerized Assessment of Motor Imitation for Distinguishing Autism in Video (CAMI-2DNet)
- PACF: Prototype Augmented Compact Features for Improving Domain Adaptive Object Detection
- AutoRestTest: A Tool for Automated REST API Testing Using LLMs and MARL
- LlamaRestTest: Effective REST API Testing with Small Language Models
- Image-to-Force Estimation for Soft Tissue Interaction in Robotic-Assisted Surgery Using Structured Light
- OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML
- Molecular Graph Contrastive Learning with Line Graph
- Sound Scene Synthesis at the DCASE 2024 Challenge
- LoRS: Efficient Low-Rank Adaptation for Sparse Large Language Model
- Normalize Then Propagate: Efficient Homophilous Regularization for Few-shot Semi-Supervised Node Classification
- Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation
- LLM-based Human Simulations Have Not Yet Been Reliable
- Scalable and High-Quality Neural Implicit Representation for 3D Reconstruction
- GOTPR: General Outdoor Text-based Place Recognition Using Scene Graph Retrieval with OpenStreetMap
- DNMDR: Dynamic Networks and Multi-view Drug Representations for Safe Medication Recommendation
- Information Entropy Invariance: Enhancing Length Extrapolation in Attention Mechanisms
- Evaluating SAT and SMT Solvers on Large-Scale Sudoku Puzzles
- Towards Lightweight and Stable Zero-shot TTS with Self-distilled Representation Disentanglement
- DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem
- Adaptive Sampled Softmax with Inverted Multi-Index: Methods, Theory and Applications
- MIAFEx: An Attention-based Feature Extraction Method for Medical Image Classification
- ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins
- LAMS: LLM-Driven Automatic Mode Switching for Assistive Teleoperation
- DynamicFace: High-Quality and Consistent Face Swapping for Image and Video using Composable 3D Facial Priors
- A Theory of Optimistically Universal Online Learnability for General Concept Classes
- Reforge: Low-Latency Distributed GNN Serving with Selective Embedding Recomputation
- T2VEval: Benchmark Dataset and Objective Evaluation Method for T2V-generated Videos
- Knowledge prompt chaining for semantic modeling
- Homophily-aware Heterogeneous Graph Contrastive Learning
- Complexity Control Facilitates Reasoning-Based Compositional Generalization in Transformers
- Mitigating Domain Shift in Federated Learning via Intra- and Inter-Domain Prototypes
- Alleviating Seasickness through Brain-Computer Interface-based Attention Shift
- Learning Hyperplane Tree: A Piecewise Linear and Fully Interpretable Decision-making Framework
- Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation
- Score-based 3D molecule generation with neural fields
- Exploring the Efficacy of Meta-Learning: Unveiling Superior Data Diversity Utilization of MAML Over Pre-training
- Yuan: Yielding Unblemished Aesthetics Through A Unified Network for Visual Imperfections Removal in Generated Images
- SuperSAM: Crafting a SAM Supernetwork via Structured Pruning and Unstructured Parameter Prioritization
- Adapting Whisper for Regional Dialects: Enhancing Public Services for Vulnerable Populations in the United Kingdom
- Scalable Bayesian Physics-Informed Kolmogorov-Arnold Networks