Papers
Wed 7 Aug 2024
199 papers
- Prompt and PrejudiceMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- FDC: Fast KV Dimensionality Compression for Efficient LLM InferenceEfficient LLM inference and serving → KV cache optimization
- PLANRL: A Motion Planning and Imitation Learning Framework to Bootstrap Reinforcement LearningOffline RL and imitation learning from data → Robot manipulation imitation learning +1
- Learning Rate-Free Reinforcement Learning: A Case for Model Selection with Non-Stationary ObjectivesDeep reinforcement learning methods → Deep RL algorithms and representations
- How Well Can Vision Language Models See Image Details?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Dual-Modeling Decouple Distillation for Unsupervised Anomaly DetectionKnowledge distillation → Detection and dense prediction distillation
- From Data to Story: Towards Automatic Animated Data Video Creation with LLM-based Multi-Agent SystemsLLM agents and tool use → Multimodal and embodied agents
- PackMamba: Efficient Processing of Variable-Length Sequences in Mamba trainingState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Target Prompting for Information Extraction with Vision Language ModelMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Generative Language Models with Retrieval Augmented Generation for Automated Short Answer ScoringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Navigating the Human Maze: Real-Time Robot Pathfinding with Generative Imitation LearningOffline RL and imitation learning from data → Social robot navigation
- HDPlanner: Advancing Autonomous Deployments in Unknown Environments through Hierarchical Decision NetworksDeep reinforcement learning methods → RL for robot navigation and UAV control
- Data Generation Scheme for Thermal Modality with Edge-Guided Adversarial Conditional Diffusion ModelDiffusion models → Diffusion foundations and sampling
- Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient AdaptationMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active Distribution NetworksDeep reinforcement learning methods → RL for energy, networks and operations
- NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference TimeEfficient LLM inference and serving → KV cache optimization
- AI-Driven approach for sustainable extraction of earth's subsurface renewable energy while minimizing seismic activityDeep reinforcement learning methods → RL for energy, networks and operations
- Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion ModelsDiffusion models → Medical imaging and segmentation
- TALE: Training-free Cross-domain Image Composition via Adaptive Latent Manipulation and Energy-guided OptimizationDiffusion models → Image generation, text-to-image and editing
- Improving Retrieval-Augmented Code Comment Generation by Retrieving for GenerationRetrieval-augmented generation → RAG for code
- A Logical Fallacy-Informed Framework for Argument GenerationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image SegmentationKnowledge distillation → Distillation for medical imaging
- Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon TasksLLM agents and tool use → Reinforcement learning for LLM agents
- EnJa: Ensemble Jailbreak on Large Language ModelsLLM safety and security → Jailbreaking
- DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with MambaEnd-to-end autonomous driving → End-to-end system architecture +1
- 2D-OOB: Attributing Data Contribution Through Joint Valuation FrameworkLLM safety and security → Backdoor and data poisoning attacks
- A Comparison of LLM Finetuning Methods & Evaluation Metrics with Travel Chatbot Use CaseRetrieval-augmented generation → RAG pipeline design and evaluation +1
- D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion MethodsDiffusion models → Image generation, text-to-image and editing
- Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt InjectionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Deep Reinforcement Learning for Robotics: A Survey of Real-World SuccessesDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Lifelong Personalized Low-Rank Adaptation of Large Language Models for RecommendationLLM reasoning → LLM reasoning for recommendation
- A Study on Prompt Injection Attack Against LLM-Integrated Mobile Robotic SystemsLLM safety and security → Prompt injection and agent security
- MoExtend: Tuning New Experts for Modality and Task ExtensionMixture-of-experts → Multimodal MoE models
- Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble ExploitationMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Automated Theorem Provers Help Improve Large Language Model ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Sleeper Social Bots: a new generation of AI disinformation bots are already a political threat
- Fiber neural networks for the intelligent optical fiber communications
- Identifying and Mitigating Social Bias Knowledge in Language Models
- Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants
- Joint PET-MRI Reconstruction with Diffusion Stochastic Differential Model
- Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function
- StructuredRAG: JSON Response Formatting with Large Language Models
- Dynamic Code Orchestration: Harnessing the Power of Large Language Models for Adaptive Script Execution
- A Guide to Similarity Measures
- Handwritten Code Recognition for Pen-and-Paper CS Education
- MathBridge: A Large Corpus Dataset for Translating Spoken Mathematical Expressions into LaTeX Formulas for Improved Readability
- Anatomical Foundation Models for Brain MRIs
- SocFedGPT: Federated GPT-based Adaptive Content Filtering System Leveraging User Interactions in Social Networks
- ConfReady: A RAG based Assistant and Dataset for Conference Checklist Responses
- AutoFAIR : Automatic Data FAIRification via Machine Reading
- Forecasting Live Chat Intent from Browsing History
- Heterogeneous Graph Sequence Neural Networks for Dynamic Traffic Assignment
- Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions
- Incorporating Spatial Awareness in Data-Driven Gesture Generation for Virtual Agents
- VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs
- Overcoming Brittleness in Pareto-Optimal Learning-Augmented Algorithms
- Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology
- Combining Neural Architecture Search and Automatic Code Optimization: A Survey
- Zero-shot Factual Consistency Evaluation Across Domains
- UpLIF: An Updatable Self-Tuning Learned Index Framework
- Patchview: LLM-Powered Worldbuilding with Generative Dust and Magnet Visualization
- PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation
- Hardware-Assisted Virtualization of Neural Processing Units for Cloud Platforms
- Decoding Visual Sentiment of Political Imagery
- ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
- The Quest for Early Detection of Retinal Disease: 3D CycleGAN-based Translation of Optical Coherence Tomography into Confocal Microscopy
- PushPull-Net: Inhibition-driven ResNet robust to image corruptions
- Multi-scale structural complexity as a quantitative measure of visual complexity
- AEye: A Visualization Tool for Image Datasets
- Digital Avatars: Framework Development and Their Evaluation
- Do Sharpness-based Optimizers Improve Generalization in Medical Image Analysis?
- PowerPM: Foundation Model for Power Systems
- Machine Learning-Based Reward-Driven Tuning of Scanning Probe Microscopy: Towards Fully Automated Microscopy
- Deep Generative Models for Subgraph Prediction
- Scaling Law of Sim2Real Transfer Learning in Expanding Computational Materials Databases for Real-World Predictions
- Task-oriented Sequential Grounding and Navigation in 3D Scenes
- Human Speech Perception in Noise: Can Large Language Models Paraphrase to Improve It?
- Multimodal Gender Fairness in Depression Prediction: Insights on Data from the USA & China
- Improving Large Language Model (LLM) fidelity through context-aware grounding: A systematic approach to reliability and veracity
- Image-to-LaTeX Converter for Mathematical Formulas and Text
- Learning from Noisy Labels for Long-tailed Data via Optimal Transport
- Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks
- SLIM-RAFT: A Novel Fine-Tuning Approach to Improve Cross-Linguistic Performance for Mercosur Common Nomenclature
- From Words to Worth: Newborn Article Impact Prediction with LLM
- Fast Sprite Decomposition from Animated Graphics
- FMiFood: Multi-modal Contrastive Learning for Food Image Classification
- Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation
- AdapMTL: Adaptive Pruning Framework for Multitask Learning Model
- CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases
- LaFA: Latent Feature Attacks on Non-negative Matrix Factorization
- Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models
- Lightweight Video Denoising Using a Classic Bayesian Backbone
- Speech-MASSIVE: A Multilingual Speech Dataset for SLU and Beyond
- Simplifying Scholarly Abstracts for Accessible Digital Libraries
- MORTAR: A Model-based Runtime Action Repair Framework for AI-enabled Cyber-Physical Systems
- No-Reference Image Quality Assessment with Global-Local Progressive Integration and Semantic-Aligned Quality Transfer
- Knowledge Probing for Graph Representation Learning
- Personalized Clinical Note Generation from Doctor-Patient Conversations
- Inter-Series Transformer: Attending to Products in Time Series Forecasting
All 199
- Large Language Models for Biomedical Text Simplification: Promising But Not There Yet
- Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition
- Why transformers are obviously good models of language
- Hate Speech Detection and Classification in Amharic Text with Deep Learning
- Bi-Level Spatial and Channel-aware Transformer for Learned Image Compression
- MaxMind: A Memory Loop Network to Enhance Software Productivity based on Large Language Models
- Using a Distance Sensor to Detect Deviations in a Planar Surface
- WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language Models
- Automated Code Fix Suggestions for Accessibility Issues in Mobile Apps
- Towards Real-Time Gaussian Splatting: Accelerating 3DGS through Photometric SLAM
- Compact 3D Gaussian Splatting for Static and Dynamic Radiance Fields
- Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning
- Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting
- Trustworthy Image Semantic Communication with GenAI: Explainablity, Controllability, and Efficiency
- Frank's triangular norms in Piaget's logical proportions
- Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection
- Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study
- Relevance meets Diversity: A User-Centric Framework for Knowledge Exploration through Recommendations
- Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial
- Nadaraya-Watson kernel smoothing as a random energy model
- Reliable Node Similarity Matrix Guided Contrastive Graph Clustering
- 'Finance Wizard' at the FinLLM Challenge Task: Financial Text Summarization
- MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video
- 3iGS: Factorised Tensorial Illumination for 3D Gaussian Splatting
- Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions
- Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling
- Intuitionistic Fuzzy Cognitive Maps for Interpretable Image Classification
- Soft-Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal
- Bayes-optimal learning of an extensive-width neural network from quadratically many samples
- Question Rephrasing for Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks
- A Convex-optimization-based Layer-wise Post-training Pruner for Large Language Models
- Pick of the Bunch: Detecting Infrared Small Targets Beyond Hit-Miss Trade-Offs via Selective Rank-Aware Attention
- Local Topology Measures of Contextual Language Model Latent Spaces With Applications to Dialogue Term Extraction
- CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile Applications
- Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling
- A Blockchain-based Reliable Federated Meta-learning for Metaverse: A Dual Game Framework
- Generative Design of Periodic Orbits in the Restricted Three-Body Problem
- L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection
- Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks
- Designing Extremely Memory-Efficient CNNs for On-device Vision Tasks
- PHOCUS: Physics-Based Deconvolution for Ultrasound Resolution Enhancement
- Consumer Transactions Simulation through Generative Adversarial Networks
- mucAI at WojoodNER 2024: Arabic Named Entity Recognition with Nearest Neighbor Search
- Path-SAM2: Transfer SAM2 for digital pathology semantic segmentation
- HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection
- Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models
- CARE: A Clue-guided Assistant for CSRs to Read User Manuals
- Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis
- Large Language Model as a Catalyst: A Paradigm Shift in Base Station Siting Optimization
- PAGED: A Benchmark for Procedural Graphs Extraction from Documents
- Weakly Contrastive Learning via Batch Instance Discrimination and Feature Clustering for Small Sample SAR ATR
- On the choice of the non-trainable internal weights in random feature maps
- AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging
- Improving the quality of Persian clinical text with a novel spelling correction system
- Making Robust Generalizers Less Rigid with Loss Concentration
- Is Child-Directed Speech Effective Training Data for Language Models?
- JARViS: Detecting Actions in Video Using Unified Actor-Scene Context Relation Modeling
- Mixstyle-Entropy: Domain Generalization with Causal Intervention and Perturbation
- Activations Through Extensions: A Framework To Boost Performance Of Neural Networks
- PRISM: PRogressive dependency maxImization for Scale-invariant image Matching
- Hierarchical Quantum Control Gates for Functional MRI Understanding
- HistoSPACE: Histology-Inspired Spatial Transcriptome Prediction And Characterization Engine
- FOVAL: Calibration-Free and Subject-Invariant Fixation Depth Estimation Across Diverse Eye-Tracking Datasets
- Sensitivity analysis using the Metamodel of Optimal Prognosis
- Facing the Music: Tackling Singing Voice Separation in Cinematic Audio Source Separation
- Hierarchical Neural Constructive Solver for Real-world TSP Scenarios
- Teach CLIP to Develop a Number Sense for Ordinal Regression
- AcTracer: Active Testing of Large Language Model via Multi-Stage Sampling
- Maximum a Posteriori Estimation for Linear Structural Dynamics Models Using Bayesian Optimization with Rational Polynomial Chaos Expansions
- A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methods
- Unlocking Exocentric Video-Language Data for Egocentric Video Representation Learning
- Riverbed litter monitoring using consumer-grade aerial-aquatic speedy scanner (AASS) and deep learning based super-resolution reconstruction and detection network
- MPC-Minimized Secure LLM Inference
- In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models
- Enhanced hermit crabs detection using super-resolution reconstruction and improved YOLOv8 on UAV-captured imagery
- VPOcc: Exploiting Vanishing Point for 3D Semantic Occupancy Prediction
- CLIP-based Point Cloud Classification via Point Cloud to Image Translation
- NatLan: Native Language Prompting Facilitates Knowledge Elicitation Through Language Trigger Provision and Domain Trigger Retention
- Automatic identification of the area covered by acorn trees in the dehesa (pastureland) Extremadura of Spain
- EXAONE 3.0 7.8B Instruction Tuned Language Model
- PoseMamba: Monocular 3D Human Pose Estimation with Bidirectional Global-Local Spatio-Temporal State Space Model
- PRTGS: Precomputed Radiance Transfer of Gaussian Splats for Real-Time High-Quality Relighting
- Neural active manifolds: nonlinear dimensionality reduction for uncertainty quantification
- Exploring the extent of similarities in software failures across industries using LLMs
- Minimum Enclosing Ball Synthetic Minority Oversampling Technique from a Geometric Perspective
- Hierarchical learning control for autonomous robots inspired by central nervous system
- EgyBERT: A Large Language Model Pretrained on Egyptian Dialect Corpora
- SwinShadow: Shifted Window for Ambiguous Adjacent Shadow Detection
- RepoMasterEval: Evaluating Code Completion via Real-World Repositories
- Query3D: LLM-Powered Open-Vocabulary Scene Segmentation with Language Embedded 3D Gaussian
- On-Demand Growth of Semiconductor Heterostructures Guided by Physics-Informed Machine Learning
- GUI Element Detection Using SOTA YOLO Deep Learning Models
- 1.5-Pints Technical Report: Pretraining in Days, Not Months -- Your Language Model Thrives on Quality Data
- Opening the Black Box of 3D Reconstruction Error Analysis with VECTOR
- e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation
- FacialPulse: An Efficient RNN-based Depression Detection via Temporal Facial Landmarks
- Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENN
- Simultaneous and Meshfree Topology Optimization with Physics-informed Gaussian Processes
- Harnessing the Power of LLMs in Source Code Vulnerability Detection