Papers
Mon 13 May 2024
266 papers
- MetaReflection: Learning Instructions for Language Agents using Past ReflectionsLLM agents and tool use → Reinforcement learning for LLM agents
- Infinite Texture: Text-guided High Resolution Diffusion Texture SynthesisDiffusion models → 3D, point cloud and scene generation
- Do Bayesian imaging methods report trustworthy probabilities?Diffusion models → Inverse problems and image restoration
- LLM Theory of Mind and Alignment: Opportunities and RisksLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-AwarenessRetrieval-augmented generation → Medical and biomedical RAG
- Many-Shot Regurgitation (MSR) PromptingLLM safety and security → Prompt injection and agent security
- From Questions to Insightful Answers: Building an Informed Chatbot for University ResourcesRetrieval-augmented generation → Agentic RAG, agents and memory
- DiffTF++: 3D-aware Diffusion Transformer for Large-Vocabulary 3D GenerationDiffusion models → 3D, point cloud and scene generation
- Layout Generation Agents with Large Language ModelsLLM agents and tool use → Multimodal and embodied agents
- MambaOut: Do We Really Need Mamba for Vision?State-space sequence models (S4, Mamba) → Vision Mamba backbones
- Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific PlotsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- PyZoBot: A Platform for Conversational Information Extraction and Synthesis from Curated Zotero Reference Libraries through Advanced Retrieval-Augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory
- AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environmentsLLM agents and tool use → Medical and scientific domain agents
- Decision Mamba ArchitecturesState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models +1
- EconLogicQA: A Question-Answering Benchmark for Evaluating Large Language Models in Economic Sequential ReasoningLLM reasoning → Reasoning for agents, planning and code
- PARDEN, Can You Repeat That? Defending against Jailbreaks via RepetitionLLM safety and security → Jailbreaking
- Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID DataDiffusion models → Robustness, privacy and adversarial aspects
- Can Better Text Semantics in Prompt Tuning Improve VLM Generalization?Multimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- RLHF Workflow: From Reward Modeling to Online RLHFLLM reasoning → Reinforcement learning for reasoning +1
- FreeVA: Offline MLLM as Training-Free Video AssistantMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- DirMixE: Harnessing Test Agnostic Long-tail Recognition with Hierarchical Label VariationsMixture-of-experts → Vision mixture-of-experts
- GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB ImagesState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- SAR Image Synthesis with Diffusion ModelsDiffusion models → Inverse problems and image restoration
- Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playingLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Simulate and Eliminate: Revoke Backdoors for Generative Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- FRRffusion: Unveiling Authenticity with Diffusion-Based Face Retouching ReversalDiffusion models → Inverse problems and image restoration
- MaskFuser: Masked Fusion of Joint Multi-Modal Tokenization for End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- GLiRA: Black-Box Membership Inference Attack via Knowledge DistillationLLM safety and security → Membership inference attacks
- MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical ReasoningLLM reasoning → Mathematical reasoning +1
- EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language ModelsEfficient LLM inference and serving → Speculative decoding
- Prompt-based Code Completion via Multi-Retrieval Augmented GenerationRetrieval-augmented generation → RAG for code
- PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play AcceleratorDiffusion models → Flow matching, time series and science
- Consistency Policy: Accelerated Visuomotor Policies via Consistency DistillationDiffusion models → Diffusion and flow policies for robotics
- CLIP-Powered TASS: Target-Aware Single-Stream Network for Audio-Visual Question AnsweringLLM reasoning → Audio-language model reasoning +1
- Evaluation of Retrieval-Augmented Generation: A SurveyRetrieval-augmented generation → RAG pipeline design and evaluation
- Machine Unlearning: A Comprehensive SurveyLLM safety and security → Machine unlearning
- Neural Garment Dynamics via Manifold-Aware Transformers
- Visual Evaluative AI: A Hypothesis-Driven Tool with Concept-Based Explanations and Weight of Evidence
- Efficient 4D Radar Data Auto-labeling Method using LiDAR-based Object Detection Network
- Multilingual Entity Linking Using Dense Retrieval
- CataLM: Empowering Catalyst Design Through Large Language Models
- Divergent Creativity in Humans and Large Language Models
- Unveiling Social Media Comments with a Novel Named Entity Recognition System for Identity Groups
- UCCIX: Irish-eXcellence Large Language Model
- Control Token with Dense Passage Retrieval
- News Recommendation with Category Description by a Large Language Model
- Auto FAQ Generation
- On Constructing Algorithm Portfolios in Algorithm Selection for Computationally Expensive Black-box Optimization in the Fixed-budget Setting
- VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling
- Intelligent and Miniaturized Neural Interfaces: An Emerging Era in Neurotechnology
- Deep Neural Operator Enabled Digital Twin Modeling for Additive Manufacturing
- The Lost Melody: Empirical Observations on Text-to-Video Generation From A Storytelling Perspective
- Silver-Tongued and Sundry: Exploring Intersectional Pronouns with ChatGPT
- A predictive learning model can simulate temporal dynamics and context effects found in neural representations of continuous speech
- Additive-Effect Assisted Learning
- A Deep Dive into the Factors Influencing Financial Success: A Machine Learning Approach
- Self-Normalizing Foundation Model for Enhanced Multi-Omics Data Analysis in Oncology
- An information-theoretic model of shallow and deep language comprehension
- Data Valuation with Gradient Similarity
- Interpreting Latent Student Knowledge Representations in Programming Assignments
- Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp
- Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates
- A Semantic and Motion-Aware Spatiotemporal Transformer Network for Action Detection
- Modeling of Time-varying Wireless Communication Channel with Fading and Shadowing
- IHC Matters: Incorporating IHC analysis to H&E Whole Slide Image Analysis for Improved Cancer Grading via Two-stage Multimodal Bilinear Pooling Fusion
- Barren plateaus are amplified by the dimension of qudits
- Probabilistic Flux Limiters
- Towards Energy-Aware Federated Learning via MARL: A Dual-Selection Approach for Model and Client
- Comparative Analysis of AWS Model Deployment Services
- Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference
- CANTONMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation
- Rethinking Histology Slide Digitization Workflows for Low-Resource Settings
- Discursive objection strategies in online comments: Developing a classification schema and validating its training
- LATTE: an atomic environment descriptor based on Cartesian tensor contractions
- When factorization meets argumentation: towards argumentative explanations
- AI-Cybersecurity Education Through Designing AI-based Cyberharassment Detection Lab
- GPS-IMU Sensor Fusion for Reliable Autonomous Vehicle Position Estimation
- RATLIP: Generative Adversarial CLIP Text-to-Image Synthesis Based on Recurrent Affine Transformations
- Conformalized Physics-Informed Neural Networks
- Data-driven measures of high-frequency trading
- Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation
- KET-QA: A Dataset for Knowledge Enhanced Table Question Answering
- A Galois theorem for machine learning: Functions on symmetric matrices and point clouds via lightweight invariant features
- Comparative Study of Bitcoin Price Prediction
- Coin3D: Controllable and Interactive 3D Assets Generation with Proxy-Guided Conditioning
- Radio Resource Management and Path Planning in Intelligent Transportation Systems via Reinforcement Learning for Environmental Sustainability
- Optimizing Synthetic Correlated Diffusion Imaging for Breast Cancer Tumour Delineation
- Autonomous Sparse Mean-CVaR Portfolio Optimization
- Comparative analysis of neural network architectures for short-term FOREX forecasting
- On the Volatility of Shapley-Based Contribution Metrics in Federated Learning
- HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization
- LLAniMAtion: LLAMA Driven Gesture Animation
- DeepFMEA -- A Scalable Framework Harmonizing Process Expertise and Data-Driven PHM
- Feature Expansion and enhanced Compression for Class Incremental Learning
- Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning
- A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems
- Fighter flight trajectory prediction based on spatio-temporal graphcial attention network
- Predicting Ship Responses in Different Seaways using a Generalizable Force Correcting Machine Learning Method
- SPIN: Simultaneous Perception, Interaction and Navigation
All 266
- MedVersa: A Generalist Foundation Model for Medical Image Interpretation
- The Platonic Representation Hypothesis
- A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds
- Localized Adaptive Risk Control
- SignAvatar: Sign Language 3D Motion Reconstruction and Generation
- Sensitivity Analysis for Active Sampling, with Applications to the Simulation of Analog Circuits
- Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation
- OverlapMamba: Novel Shift State Space Model for LiDAR-based Place Recognition
- Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction
- RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors
- Active Learning with Simple Questions
- Authentic Hand Avatar from a Phone Scan via Universal Hand Model
- Improving Multimodal Learning with Multi-Loss Gradient Modulation
- Exploring the Low-Pass Filtering Behavior in Image Super-Resolution
- IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data
- Distribution Learning Meets Graph Structure Sampling
- CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models
- PLUTO: Pathology-Universal Transformer
- Science based AI model certification for new operational environments with application in traffic state estimation
- All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN
- Russian-Language Multimodal Dataset for Automatic Summarization of Scientific Papers
- Lai Loss: A Novel Loss for Gradient Control
- Zero-Shot Tokenizer Transfer
- On the Relation Between Autoencoders and Non-negative Matrix Factorization, and Their Application for Mutational Signature Extraction
- Reproducing the Metric-Based Evaluation of a Set of Controllable Text Generation Techniques
- Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer
- Boostlet.js: Image processing plugins for the web via JavaScript injection
- AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving
- Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging
- Order-Explicit Linearization of High-Dimensional U-Statistics
- Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs
- Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction
- SceneFactory: A Workflow-centric and Unified Framework for Incremental Scene Modeling
- Multi-Task Learning for Fatigue Detection and Face Recognition of Drivers via Tree-Style Space-Channel Attention Fusion Network
- Ground-based image deconvolution with Swin Transformer UNet
- Sample Selection Bias in Machine Learning for Healthcare
- Open-vocabulary Auditory Neural Decoding Using fMRI-prompted LLM
- Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics
- Adaptive Exploration for Data-Efficient General Value Function Evaluations
- Forecasting with Hyper-Trees
- Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor
- Integrating Multi-Physics Simulations and Machine Learning to Define the Spatter Mechanism and Process Window in Laser Powder Bed Fusion
- Synthetic Tabular Data Validation: A Divergence-Based Approach
- The Power of Combined Modalities in Interactive Robot Learning
- Quick and Accurate Affordance Learning
- NutritionVerse-Direct: Exploring Deep Neural Networks for Multitask Nutrition Prediction from Food Images
- Localizing Task Information for Improved Model Merging and Compression
- Non-Random Data Encodes its Geometric and Topological Dimensions
- Deep Learning-Based Object Pose Estimation: A Comprehensive Survey
- Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based Method
- Improved Bound for Robust Causal Bandits with Linear Models
- Optimal Matrix Sketching over Sliding Windows
- Decentralized Kernel Ridge Regression Based on Data-Dependent Random Feature
- Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization
- DEPTH: Discourse Education through Pre-Training Hierarchically
- Generating Human Motion in 3D Scenes from Text Descriptions
- A Comprehensive Analysis of Static Word Embeddings for Turkish
- Human-Modeling in Sequential Decision-Making: An Analysis through the Lens of Human-Aware AI
- Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation
- αVIL: Learning to Leverage Auxiliary Tasks for Multitask Learning
- Synthetic Test Collections for Retrieval Evaluation
- Challenges and Opportunities of NLP for HR Applications: A Discussion Paper
- TANQ: An open domain dataset of table answered questions
- LGDE: Local Graph-based Dictionary Expansion
- A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms
- LLM4ED: Large Language Models for Automatic Equation Discovery
- CAGES: Cost-Aware Gradient Entropy Search for Efficient Local Multi-Fidelity Bayesian Optimization
- MADRL-Based Rate Adaptation for 360deg Video Streaming with Multi-Viewpoint Prediction
- Integrating supervised and unsupervised learning approaches to unveil critical process inputs
- DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured Systems
- Neural Network Compression for Reinforcement Learning Tasks
- LlamaTurk: Adapting Open-Source Generative Large Language Models for Low-Resource Language
- Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare
- Does Dependency Locality Predict Non-canonical Word Order in Hindi?
- Coarse or Fine? Recognising Action End States without Labels
- USP: A Unified Sequence Parallelism Approach for Long Context Generative AI
- Communication-Efficient Secure Aggregation in Decentralized Learning
- OpenLLM-Ro -- Technical Report on Open-source Romanian LLMs
- FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival
- Age-Dependent Analysis and Stochastic Generation of Child-Directed Speech
- oTTC: Object Time-to-Contact for Motion Estimation in Autonomous Driving
- MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders
- FastSAG: Towards Fast Non-Autoregressive Singing Accompaniment Generation
- Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics
- Class-wise Activation Unravelling the Engima of Deep Double Descent
- CoVScreen: Pitfalls and recommendations for screening COVID-19 using Chest X-rays
- An Empirical Study on the Robustness of Massively Multilingual Neural Machine Translation
- Constructing a BPE Tokenization DFA
- Impact of white Gaussian internal noise on analog echo-state neural networks
- CrossCert: A Cross-Checking Detection Approach to Patch Robustness Certification for Deep Learning Models
- Partial information decomposition: redundancy as information bottleneck
- Geospatial Knowledge Graphs
- Sign Stitching: A Novel Approach to Sign Language Production
- Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications
- Beyond traditional Magnetic Resonance processing with Artificial Intelligence
- Quality-aware Selective Fusion Network for V-D-T Salient Object Detection
- Fast Training Data Acquisition for Object Detection and Segmentation using Black Screen Luminance Keying
- G-VOILA: Gaze-Facilitated Information Querying in Daily Scenarios
- Efficient Matrix Factorization Via Householder Reflections
- Hyperparameter Importance Analysis for Multi-Objective AutoML
- DoLLM: How Large Language Models Understanding Network Flow Data to Detect Carpet Bombing DDoS
- Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback
- AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models
- Optimizing Class-Level Probability Reweighting Coefficients for Equitable Prompting Accuracy
- De novo antibody design with SE(3) diffusion
- Towards Adaptive IMFs -- Generalization of utility functions in Multi-Agent Frameworks
- Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent
- ViWikiFC: Fact-Checking for Vietnamese Wikipedia-Based Textual Knowledge Source
- NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition
- AIris: An AI-powered Wearable Assistive Device for the Visually Impaired
- Reducing Risk for Assistive Reinforcement Learning Policies with Diffusion Models
- On-device Online Learning and Semantic Management of TinyML Systems
- Integrity Monitoring of 3D Object Detection in Automated Driving Systems using Raw Activation Patterns and Spatial Filtering
- Transferable Neural Wavefunctions for Solids
- Using Model-Theoretic Approaches to Uncover Linguistic Organization
- Environmental Matching Attack Against Unmanned Aerial Vehicles Object Detection
- RGBD-Glue: General Feature Combination for Robust RGB-D Point Cloud Registration
- Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data
- Thai Universal Dependency Treebank
- DynLLM: When Large Language Models Meet Dynamic Graph Recommendation
- TattTRN: Template Reconstruction Network for Tattoo Retrieval
- Coding historical causes of death data with Large Language Models
- Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery
- Wild Berry image dataset collected in Finnish forests and peatlands using drones
- Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds
- Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning
- Walk model that continuously generates Brownian walks to L'evy walks depending on destination attractiveness
- Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models
- HybridHash: Hybrid Convolutional and Self-Attention Deep Hashing for Image Retrieval
- Adaptation of Distinct Semantics for Uncertain Areas in Polyp Segmentation
- Dehazing Remote Sensing and UAV Imagery: A Review of Deep Learning, Prior-based, and Hybrid Approaches
- SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts
- Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation
- OpenBot-Fleet: A System for Collective Learning with Real Robots
- Fine-tuning the SwissBERT Encoder Model for Embedding Sentences and Documents
- RESTAD: REconstruction and Similarity based Transformer for time series Anomaly Detection
- PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking
- Towards Subgraph Isomorphism Counting with Graph Kernels
- MacBehaviour: An R package for behavioural experimentation on large language models
- Strategic Data Ordering: Enhancing Large Language Model Performance through Curriculum Learning
- Sparse Domain Transfer via Elastic Net Regularization
- Predictive Modeling of Flexible EHD Pumps using Kolmogorov-Arnold Networks
- Towards Marginal Fairness Sliced Wasserstein Barycenter
- Text Grouping Adapter: Adapting Pre-trained Text Detector for Layout Analysis
- Integrating Intent Understanding and Optimal Behavior Planning for Behavior Tree Generation from Human Instructions
- Intrinsic Rewards for Exploration without Harm from Observational Noise: A Simulation Study Based on the Free Energy Principle
- GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Prompting
- Evaluating large language models in medical applications: a survey
- MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation
- HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models
- DAPL: Integration of Positive and Negative Descriptions in Text-Based Person Search
- Boosting House Price Estimations with Multi-Head Gated Attention
- An Effectiveness Study Across Baseline and Learning-based Force Estimation Methods on the da Vinci Research Kit Si System
- PLA-SGCN: Protein-Ligand Binding Affinity Prediction by Integrating Similar Pairs and Semi-supervised Graph Convolutional Network
- Motion Keyframe Interpolation for Any Human Skeleton via Temporally Consistent Point Cloud Sampling and Reconstruction
- Rene: A Pre-trained Multi-modal Architecture for Auscultation of Respiratory Diseases
- Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework
- Maximizing Information Gain in Privacy-Aware Active Learning of Email Anomalies
- Can Language Models Explain Their Own Classification Behavior?
- Nonparametric Sparse Online Learning of the Koopman Operator
- Sakuga-42M Dataset: Scaling Up Cartoon Research
- Structured Reinforcement Learning for Incentivized Stochastic Covert Optimization
- Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
- MoVL:Exploring Fusion Strategies for the Domain-Adaptive Application of Pretrained Models in Medical Imaging Tasks
- PitcherNet: Powering the Moneyball Evolution in Baseball Video Analytics
- Indoor PM2.5 forecasting and the association with outdoor air pollution: a modelling study based on sensor data in Australia