Papers
Fri 8 Nov 2024
222 papers
- Using Spatial Diffusions for Optoacoustic Tomography Image ReconstructionDiffusion models → Medical imaging and segmentation
- A Modular Conditional Diffusion Framework for Image ReconstructionDiffusion models → Inverse problems and image restoration
- Game-theoretic LLM: Agent Workflow for Negotiation GamesLLM agents and tool use → Social simulation and multi-agent debate
- Fine-Grained Reward Optimization for Machine Translation using Error Severity MappingsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Aligned Vector Quantization for Edge-Cloud Collabrative Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- NeKo: Cross-Modality Post-Recognition Error Correction with Tasks-Guided Mixture-of-Experts Language ModelMixture-of-experts → Multimodal MoE models
- Mitigating Hallucination with ZeroG: An Advanced Knowledge Management EngineKnowledge distillation → Knowledge distillation for LLMs
- Qwen2.5-32B: Leveraging Self-Consistent Tool-Integrated Reasoning for Bengali Mathematical Olympiad Problem SolvingLLM agents and tool use → Tool learning and function calling
- Autonomous Industrial Control using an Agentic Framework with Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving AgentMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- SSSD: Simply-Scalable Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- RefreshKV: Updating Small KV Cache During Long-form GenerationEfficient LLM inference and serving → KV cache optimization
- Safe Reinforcement Learning of Robot Trajectories in the Presence of Moving ObstaclesDeep reinforcement learning methods → Safe and constrained RL
- End-to-End Navigation with Vision Language Models: Transforming Spatial Reasoning into Question-AnsweringLLM reasoning → Spatial and embodied reasoning +1
- Free Record-Level Privacy Risk Evaluation Through Artifact-Based MethodsLLM safety and security → Membership inference attacks
- Image2Text2Image: A Novel Framework for Label-Free Evaluation of Image-to-Text Generation with Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Improving Molecular Graph Generation with Flow Matching and Optimal TransportDiffusion models → Flow matching, time series and science
- The influence of persona and conversational task on social interactions with a LLM-controlled embodied conversational agentLLM agents and tool use → Social simulation and multi-agent debate
- LightVA: Lightweight Visual Analytics with LLM Agent-Based Task Planning and ExecutionLLM agents and tool use → Multimodal and embodied agents
- Evaluating Large Language Model Capability in Vietnamese Fact-Checking Data GenerationLLM reasoning → Reasoning benchmarks and evaluation
- WHALE: Towards Generalizable and Scalable World Models for Embodied Decision-makingWorld models → World models for navigation
- Knowledge Distillation Neural Network for Predicting Car-following Behaviour of Human-driven and Autonomous VehiclesKnowledge distillation → Multimodal distillation
- Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A SurveyDeep reinforcement learning methods → Deep RL algorithms and representations
- Tangled Program Graphs as an alternative to DRL-based control algorithms for UAVsDeep reinforcement learning methods → RL for robot navigation and UAV control
- Assessing the Answerability of Queries in Retrieval-Augmented Code GenerationRetrieval-augmented generation → RAG for code
- Towards Lifelong Few-Shot Customization of Text-to-Image DiffusionDiffusion models → Image generation, text-to-image and editing +1
- Towards Active Flow Control Strategies Through Deep Reinforcement LearningDeep reinforcement learning methods → RL with diffusion and flow models
- Improving image synthesis with diffusion-negative samplingDiffusion models → Image generation, text-to-image and editing
- Bridging the Gap between Learning and Inference for Diffusion-Based Molecule GenerationDiffusion models → Flow matching, time series and science
- WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language ModelsLLM agents and tool use → Software engineering coding agents
- IntellBot: Retrieval Augmented LLM Chatbot for Cyber Threat Knowledge DeliveryRetrieval-augmented generation → Privacy and security of RAG
- Gap-Filling Prompting Enhances Code-Assisted Mathematical ReasoningLLM reasoning → Mathematical reasoning
- Benchmarking Distributional Alignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Enhancing Visual Classification using Comparative DescriptorsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- RED: Residual Estimation Diffusion for Low-Dose PET Sinogram ReconstructionDiffusion models → Medical imaging and segmentation
- Enhancing Cluster Resilience: LLM-agent Based Autonomous Intelligent Cluster Diagnosis System and Evaluation FrameworkRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Reinforcement Learning for Adaptive Resource Scheduling in Complex System EnvironmentsDeep reinforcement learning methods → RL for energy, networks and operations
- Reasoning Robustness of LLMs to Adversarial Typographical ErrorsLLM reasoning → Reasoning benchmarks and evaluation
- Improving Multi-Domain Task-Oriented Dialogue System with Offline Reinforcement LearningOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- Aligning Large Language Models and Geometric Deep Models for Protein RepresentationMultimodal LLMs / vision-language models → Chart understanding and anomaly detection +1
- Adaptive Whole-Body PET Image Denoising Using 3D Diffusion Models with ControlNetDiffusion models → Medical imaging and segmentation
- SpecHub: Provable Acceleration to Multi-Draft Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- AgentOps: Enabling Observability of LLM AgentsLLM agents and tool use → Software engineering coding agents
- Real-World Offline Reinforcement Learning from Vision Language Model FeedbackMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Hierarchical Visual Feature Aggregation for OCR-Free Document UnderstandingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Benefits and Risks of Using ChatGPT4 as a Teaching Assistant for Computer Science Students
- ProteinWeaver: A Divide-and-Assembly Approach for Protein Backbone Design
- Adaptive Sensor Placement Inspired by Bee Foraging: Towards Efficient Environment Monitoring
- HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysis
- Beyond object identification: How train drivers evaluate the risk of collision
- Multi-Document Financial Question Answering using LLMs
- Analysis, forecasting and system identification of a floating offshore wind turbine using dynamic mode decomposition
- Cascaded Dual Vision Transformer for Accurate Facial Landmark Detection
- Acoustic-based 3D Human Pose Estimation Robust to Human Position
- A Comprehensive Guide to Enhancing Antibiotic Discovery Using Machine Learning Derived Bio-computation
- The Dark Patterns of Personalized Persuasion in Large Language Models: Exposing Persuasive Linguistic Features for Big Five Personality Traits in LLMs Responses
- Filling in Missing FX Implied Volatilities with Uncertainties: Improving VAE-Based Volatility Imputation
- GUIDEQ: Framework for Guided Questioning for progressive informational collection and classification
- Generating Fearful Images: Investigating Potential Emotional Biases in Image-Generation Models
- Longitudinal Ensemble Integration for sequential classification with multimodal data
- Unmasking the Shadows: Pinpoint the Implementations of Anti-Dynamic Analysis Techniques in Malware Using LLM
- FactLens: Benchmarking Fine-Grained Fact Verification
- Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits
- The Empirical Impact of Data Sanitization on Language Models
- Toward Transdisciplinary Approaches to Audio Deepfake Discernment
- Energy Efficient Protein Language Models: Leveraging Small Language Models with LoRA for Controllable Protein Generation
- Utilisation of Vision Systems and Digital Twin for Maintaining Cleanliness in Public Spaces
- Assessing Foundational Medical 'Segment Anything' (Med-SAM1, Med-SAM2) Deep Learning Models for Left Atrial Segmentation in 3D LGE MRI
- A method based on Generative Adversarial Networks for disentangling physical and chemical properties of stars in astronomical spectra
- Efficient Self-Supervised Barlow Twins from Limited Tissue Slide Cohorts for Colonic Pathology Diagnostics
- Sentiment Analysis of Cyberbullying Data in Social Media
- Tackling extreme urban heat: a machine learning approach to assess the impacts of climate change and the efficacy of climate adaptation strategies in urban microclimates
- Querying Perception Streams with Spatial Regular Expressions
- Quantifying artificial intelligence through algorithmic generalization
- GCI-ViTAL: Gradual Confidence Improvement with Vision Transformers for Active Learning on Label Noise
- The effect of different feature selection methods on models created with XGBoost
- BERTrend: Neural Topic Modeling for Emerging Trends Detection
- Reducing Distraction in Long-Context Language Models by Focused Learning
- Moving Off-the-Grid: Scene-Grounded Video Representations
- DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models
- Towards Multi-Modal Mastery: A 4.5B Parameter Truly Multi-Modal Small Language Model
- Autoregressive Models in Vision: A Survey
- ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification
- Enhancing Cardiovascular Disease Prediction through Multi-Modal Self-Supervised Learning
- Streaming Bayes GFlowNets
- Humans and Large Language Models in Clinical Decision Support: A Study with Medical Calculators
- One Small and One Large for Document-level Event Argument Extraction
- Identifying and Decomposing Compound Ingredients in Meal Plans Using Large Language Models
- A Comparative Analysis of Machine Learning Models for DDoS Detection in IoT Networks
- Sdn Intrusion Detection Using Machine Learning Method
- Predictive Digital Twin for Condition Monitoring Using Thermal Imaging
- UnDIVE: Generalized Underwater Video Enhancement Using Generative Priors
- Alternative Learning Paradigms for Image Quality Transfer
- Untrained Perceptual Loss for image denoising of line-like structures in MR images
- Benchmarking 3D multi-coil NC-PDNet MRI reconstruction
- When are 1.58 bits enough? A Bottom-up Exploration of BitNet Quantization
- Towards Equitable ASD Diagnostics: A Comparative Study of Machine and Deep Learning Models Using Behavioral and Facial Data
- Smile upon the Face but Sadness in the Eyes: Emotion Recognition based on Facial Expressions and Eye Behaviors
- Joint-Optimized Unsupervised Adversarial Domain Adaptation in Remote Sensing Segmentation with Prompted Foundation Model
- Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
All 222
- ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles
- Using Language Models to Disambiguate Lexical Choices in Translation
- GazeSearch: Radiology Findings Search Benchmark
- Curriculum Learning for Few-Shot Domain Adaptation in CT-based Airway Tree Segmentation
- LLMs as Method Actors: A Model for Prompt Engineering and Architecture
- Quantitative Assessment of Intersectional Empathetic Bias and Understanding
- Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?
- Equivariant Test-Time Training with Operator Sketching for Imaging Inverse Problems
- FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents
- Multi-hop Evidence Pursuit Meets the Web: Team Papelo at FEVER 2024
- Tract-RLFormer: A Tract-Specific RL policy based Decoder-only Transformer Network
- FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information
- On Differentially Private String Distances
- Multi-Dimensional Reconfigurable, Physically Composable Hybrid Diffractive Optical Neural Network
- WavShadow: Wavelet Based Shadow Segmentation and Removal
- Continuous-Time Analysis of Adaptive Optimization and Normalization
- Topology-aware Reinforcement Feature Space Reconstruction for Graph Data
- StdGEN: Semantic-Decomposed 3D Character Generation from Single Images
- Aioli: A Unified Optimization Framework for Language Model Data Mixing
- Poze: Sports Technique Feedback under Data Constraints
- Differential Privacy Under Class Imbalance: Methods and Empirical Insights
- PEP-GS: Perceptually-Enhanced Precise Structured 3D Gaussians for View-Adaptive Rendering
- Learning Subsystem Dynamics in Nonlinear Systems via Port-Hamiltonian Neural Networks
- Graph-Dictionary Signal Model for Sparse Representations of Multivariate Data
- A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics
- STARS: Sensor-agnostic Transformer Architecture for Remote Sensing
- Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream
- Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models
- Image inpainting enhancement by replacing the original mask with a self-attended region from the input image
- Visual-TCAV: Concept-based Attribution and Saliency Maps for Post-hoc Explainability in Image Classification
- IPMN Risk Assessment under Federated Learning Paradigm
- YOSO: You-Only-Sample-Once via Compressed Sensing for Graph Neural Network Training
- Autoregressive Adaptive Hypergraph Transformer for Skeleton-based Activity Recognition
- Asterisk*: Keep it Simple
- Data-Driven Distributed Common Operational Picture from Heterogeneous Platforms using Multi-Agent Reinforcement Learning
- Tell What You Hear From What You See -- Video to Audio Generation Through Text
- Relationships between the degrees of freedom in the affine Gaussian derivative model for visual receptive fields and 2-D affine image transformations, with application to covariance properties of simple cells in the primary visual cortex
- Exploring the Limits of Large Language Models: A Systematic Evaluation of Masked Text Processing Ability through MskQA and MskCal
- Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation
- Multi-armed Bandits with Missing Outcome
- Enhancing Model Fairness and Accuracy with Similarity Networks: A Methodological Approach
- Assessing Open-Source Large Language Models on Argumentation Mining Subtasks
- Impact of Fake News on Social Media Towards Public Users of Different Age Groups
- Video RWKV:Video Action Recognition Based RWKV
- SynDroneVision: A Synthetic Dataset for Image-Based Drone Detection
- Physics-constrained coupled neural differential equations for one dimensional blood flow modeling
- Cross-validating causal discovery via Leave-One-Variable-Out
- A Two-Step Concept-Based Approach for Enhanced Interpretability and Trust in Skin Lesion Diagnosis
- Efficient Audio-Visual Fusion for Video Classification
- Expectation vs. Reality: Towards Verification of Psychological Games
- Predicting Stroke through Retinal Graphs and Multimodal Self-supervised Learning
- Machine learning-driven Anomaly Detection and Forecasting for Euclid Space Telescope Operations
- Evaluating and Adapting Large Language Models to Represent Folktales in Low-Resource Languages
- Decentralized EM Algorithm for Gaussian Mixtures under Data Heterogeneity and Partial Labeling
- Towards a Real-Time Simulation of Elastoplastic Deformation Using Multi-Task Neural Networks
- Solving 7x7 Killall-Go with Seki Database
- Open-set object detection: towards unified problem formulation and benchmarking
- Objective drives the consistency of representational similarity across datasets
- A Nerf-Based Color Consistency Method for Remote Sensing Images
- DeepArUco++: Improved detection of square fiducial markers in challenging lighting conditions
- CRepair: CVAE-based Automatic Vulnerability Repair Technology
- How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP
- Alignment of 3D woodblock geometrical models and 2D orthographic projection image
- SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark
- Towards Scalable Foundation Models for Digital Dermatology
- An Early FIRST Reproduction and Improvements to Single-Token Decoding for Fast Listwise Reranking
- LBPE: Long-token-first Tokenization to Improve Large Language Models
- KyrgyzNLP: Challenges, Progress, and Future
- FGGP: Fixed-Rate Gradient-First Gradual Pruning
- Tightly-Coupled, Speed-aided Monocular Visual-Inertial Localization in Topological Map
- Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study
- Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROMs
- The Limits of Differential Privacy in Online Learning
- EUREKHA: Enhancing User Representation for Key Hackers Identification in Underground Forums
- Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs
- Supporting Automated Fact-checking across Topics: Similarity-driven Gradual Topic Learning for Claim Detection
- Comparative Study of Probabilistic Atlas and Deep Learning Approaches for Automatic Brain Tissue Segmentation from MRI Using N4 Bias Field Correction and Anisotropic Diffusion Pre-processing Techniques
- The sampling complexity of learning invertible residual neural networks
- ClusterGraph: a new tool for visualization and compression of multidimensional data
- ICE-T: A Multi-Faceted Concept for Teaching Machine Learning
- VISTA: Visual Integrated System for Tailored Automation in Math Problem Generation Using LLM
- Learning the rules of peptide self-assembly through data mining with large language models
- WeatherGFM: Learning A Weather Generalist Foundation Model via In-context Learning
- POC-SLT: Partial Object Completion with SDF Latent Transformers
- Web Archives Metadata Generation with GPT-4o: Challenges and Insights
- Post-Hoc Robustness Enhancement in Graph Neural Networks with Conditional Random Fields
- AuthFormer: Adaptive Multimodal biometric authentication transformer for middle-aged and elderly people
- Advancing Meteorological Forecasting: AI-based Approach to Synoptic Weather Map Analysis
- Towards Low-Resource Harmful Meme Detection with LMM Agents
- Word reuse and combination support efficient communication of emerging concepts
- Machine learning for prediction of dose-volume histograms of organs-at-risk in prostate cancer from simple structure volume parameters
- Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking
- From Transparent to Opaque: Rethinking Neural Implicit Surfaces with α-NeuS
- Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks
- Agricultural Landscape Understanding At Country-Scale
- Controlling Grokking with Nonlinearity and Data Symmetry
- LLM-PySC2: Starcraft II learning environment for Large Language Models
- SciDQA: A Deep Reading Comprehension Dataset over Scientific Papers
- A Quality-Centric Framework for Generic Deepfake Detection
- Discovering Latent Causal Graphs from Spatiotemporal Data
- Inversion-based Latent Bayesian Optimization
- SASWISE-UE: Segmentation and Synthesis with Interpretable Scalable Ensembles for Uncertainty Estimation
- Rate-aware Compression for NeRF-based Volumetric Video
- Fairness in Monotone k-submodular Maximization: Algorithms and Applications
- Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization
- A Real-time Face Mask Detection and Social Distancing System for COVID-19 using Attention-InceptionV3 Model
- ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving
- Revisiting Network Perturbation for Semi-Supervised Semantic Segmentation
- On Training of Kolmogorov-Arnold Networks
- SimpleBEV: Improved LiDAR-Camera Fusion Architecture for 3D Object Detection
- MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization
- Fox-1: Open Small Language Model for Cloud and Edge
- Revisiting the Robustness of Watermarking to Paraphrasing Attacks
- GPT Semantic Cache: Reducing LLM Costs and Latency via Semantic Embedding Caching
- Distributed-Order Fractional Graph Operating Network
- Seeing Through the Fog: A Cost-Effectiveness Analysis of Hallucination Detection Systems
- Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer Classification
- Image Decomposition: Theory, Numerical Schemes, and Performance Evaluation
- Minimal Conditions for Beneficial Neighbourhood Search and Local Descent
- Cyclic Vision-Language Manipulator: Towards Reliable and Fine-Grained Image Interpretation for Automated Report Generation
- QuanCrypt-FL: Quantized Homomorphic Encryption with Pruning for Secure Federated Learning
- What talking you?: Translating Code-Mixed Messaging Texts to English