Papers
Wed 28 Aug 2024
241 papers
- AutoGeo: Automating Geometric Image Dataset Creation for Enhanced Geometry UnderstandingLLM reasoning → Spatial and embodied reasoning
- BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decodingSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- A Comprehensive Review of 3D Object Detection in Autonomous Driving: Technological Advances and Future DirectionsEnd-to-end autonomous driving → VLMs for autonomous driving
- VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological ImagesMultimodal LLMs / vision-language models → Agricultural vision-language models
- FRACTURED-SORRY-Bench: Framework for Revealing Attacks in Conversational Turns Undermining Refusal Efficacy and Defenses over SORRY-Bench (Automated Multi-shot Jailbreaks)LLM safety and security → Jailbreaking
- RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate ModelsDeep reinforcement learning methods → RL for energy, networks and operations
- Structured Event Reasoning with Large Language ModelsLLM reasoning → Causal reasoning in LLMs
- EPO: Hierarchical LLM Agents with Environment Preference OptimizationLLM agents and tool use → Reinforcement learning for LLM agents +1
- Towards Logically Sound Natural Language Reasoning with Logic-Enhanced Language Model AgentsLLM reasoning → Reasoning for agents, planning and code +1
- Hitting the Gym: Reinforcement Learning Control of Exercise-Strengthened Biohybrid Robots in SimulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- An Extremely Data-efficient and Generative LLM-based Reinforcement Learning Agent for RecommendersLLM agents and tool use → Agentic recommender systems +1
- Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of EncodersMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You NeedState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- TEDRA: Text-based Editing of Dynamic and Photoreal ActorsDiffusion models → 3D, point cloud and scene generation
- Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion DistillationDiffusion models → Diffusion foundations and sampling
- In-Context Imitation Learning via Next-Token PredictionOffline RL and imitation learning from data → Robot manipulation imitation learning
- WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic ExplorationLLM agents and tool use → General LLM agent frameworks and benchmarks
- BattleAgentBench: A Benchmark for Evaluating Cooperation and Competition Capabilities of Language Models in Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Atari-GPT: Benchmarking Multimodal Large Language Models as Low-Level Policies in Atari GamesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- ReMoBot: Retrieval-Based Few-Shot Imitation Learning for Mobile Manipulation with Vision Foundation ModelsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Leveraging Open Knowledge for Advancing Task Expertise in Large Language ModelsMixture-of-experts → MoE large language models
- Nexus: Specialization meets Adaptability for Efficiently Training Mixture of ExpertsMixture-of-experts → MoE large language models
- Gen-Swarms: Adapting Deep Generative Models to Swarms of DronesDiffusion models → Diffusion and flow policies for robotics
- Airfoil Diffusion: Denoising Diffusion Model For Conditional Airfoil GenerationDiffusion models → Flow matching, time series and science
- Disentangled Diffusion Autoencoder for Harmonization of Multi-site Neuroimaging DataDiffusion models → Medical imaging and segmentation
- SpineMamba: Enhancing 3D Spinal Segmentation in Clinical Imaging through Residual Visual Mamba Layers and Shape PriorsState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge DistillationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +2
- Unleashing the Temporal-Spatial Reasoning Capacity of GPT for Training-Free Audio and Language Referenced Video Object SegmentationLLM reasoning → Multimodal reasoning
- GenDDS: Generating Diverse Driving Video Scenarios with Prompt-to-Video Generative ModelDiffusion models → Diffusion and flow policies for robotics
- Retrieval-Augmented Instruction Tuning for Automated Process Engineering Calculations : A Tool-Chaining Problem-Solving Framework with Attributable ReflectionRetrieval-augmented generation → RAG for code
- ModalityMirror: Improving Audio Classification in Modality Heterogeneity Federated Learning with Multimodal DistillationKnowledge distillation → Speech and audio distillation
- Visual Prompt Engineering for Vision Language Models in RadiologyMultimodal LLMs / vision-language models → Medical vision-language models
- Efficient LLM Scheduling by Learning to RankEfficient LLM inference and serving → Serving systems and request scheduling
- Interactive Agents: Simulating Counselor-Client Psychological Counseling via Role-Playing LLM-to-LLM InteractionsLLM agents and tool use → Medical and scientific domain agents
- LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- A Survey on Evaluation of Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- Learning Harmonized Representations for Speculative SamplingEfficient LLM inference and serving → Speculative decoding
- Reinforcement Learning for Adaptive Traffic Signal Control: Turn-Based and Time-Based Approaches to Reduce CongestionDeep reinforcement learning methods → RL for autonomous driving and traffic
- MambaPlace:Text-to-Point-Cloud Cross-Modal Place Recognition with Attention Mamba MechanismsState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Defending Text-to-image Diffusion Models: Surprising Efficacy of Textual Perturbations Against Backdoor AttacksDiffusion models → Robustness, privacy and adversarial aspects +1
- Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-ExpertsMixture-of-experts → Expert routing strategies
- Merging and Splitting Diffusion Paths for Semantically Coherent PanoramasDiffusion models → 3D, point cloud and scene generation
- Red Team Redemption: A Structured Comparison of Open-Source Tools for Adversary EmulationLLM safety and security → Prompt injection and agent security
- Comparison of Model Predictive Control and Proximal Policy Optimization for a 1-DOF Helicopter SystemDeep reinforcement learning methods → RL for robot navigation and UAV control
- Structural Optimization of Lightweight Bipedal Robot via SERLDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in RetailMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- CBF-LLM: Safe Control for LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Grand canonical generative diffusion model for crystalline phases and grain boundariesDiffusion models → Flow matching, time series and science
- Skills Regularized Task Decomposition for Multi-task Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- SIaM: Self-Improving Code-Assisted Mathematical Reasoning of Large Language ModelsLLM reasoning → Mathematical reasoning +1
- Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment DistillationEfficient LLM inference and serving → Speculative decoding
- Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- WildFeedback: Aligning LLMs With In-situ User Interactions And FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- ConsistencyTrack: A Robust Multi-Object Tracker with a Generation Strategy of Consistency ModelDiffusion models → Video generation
- Kangaroo: A Powerful Video-Language Model Supporting Long-context Video InputMultimodal LLMs / vision-language models → Video understanding with MLLMs
- TrafficGamer: Reliable and Flexible Traffic Simulation for Safety-Critical Scenarios with Game-Theoretic OraclesEnd-to-end autonomous driving → Cooperative and V2X driving
- LRP4RAG: Detecting Hallucinations in Retrieval-Augmented Generation via Layer-wise Relevance PropagationRetrieval-augmented generation → Hallucination detection in RAG
- AeroVerse: UAV-Agent Benchmark Suite for Simulating, Pre-training, Finetuning, and Evaluating Aerospace Embodied World ModelsWorld models → World models for navigation +2
- EmoAttack: Utilizing Emotional Voice Conversion for Speech Backdoor Attacks on Deep Speech Classification ModelsLLM safety and security → Audio jailbreaks and speech backdoors
- MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics
- ReMamba: Equip Mamba with Effective Long-Sequence ModelingState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Legilimens: Practical and Unified Content Moderation for Large Language Model ServicesLLM safety and security → Safety alignment, refusal and guardrails
- Activation function optimization method: Learnable series linear units (LSLUs)
- Responsible AI for Test Equity and Quality: The Duolingo English Test as a Case Study
- Ethical AI Governance: Methods for Evaluating Trustworthy AI
- AI, Climate, and Transparency: Operationalizing and Improving the AI Act
- Small Object Detection for Indoor Assistance to the Blind using YOLO NAS Small and Super Gradients
- An Artificial Neural Network for Image Classification Inspired by Aversive Olfactory Learning Circuits in Caenorhabditis Elegans
- A Hybrid Framework for Spatial Interpolation: Merging Data-driven with Domain Knowledge
- Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learning
- Brant-X: A Unified Physiological Signal Alignment Framework
- ConCSE: Unified Contrastive Learning and Augmentation for Code-Switched Embeddings
- 3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
- Ionospheric Scintillation Forecasting Using Machine Learning
- FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization
- Self-Adaptive Quantum Kernel Principal Components Analysis for Compact Readout of Chemiresistive Sensor Arrays
- Uncertainty-aware segmentation for rainfall prediction post processing
- Are Pose Estimators Ready for the Open World? STAGE: A GenAI Toolkit for Auditing 3D Human Pose Estimators
- LLM-assisted Labeling Function Generation for Semantic Type Detection
- CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases
- Simulating realistic short tandem repeat capillary electrophoretic signal using a generative adversarial network
- LeMON: Learning to Learn Multi-Operator Networks
- Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
- CLPNets: Coupled Lie-Poisson Neural Networks for Multi-Part Hamiltonian Systems with Symmetries
- Does Data-Efficient Generalization Exacerbate Bias in Foundation Models?
- Single-Photon 3D Imaging with Equi-Depth Photon Histograms
- Improving the Prediction of Individual Engagement in Recommendations Using Cognitive Models
- Thinner Latent Spaces: Detecting Dimension and Imposing Invariance with Conformal Autoencoders
- Evaluating Computational Representations of Character: An Austen Character Similarity Benchmark
- Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data
- Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation
- ChartEye: A Deep Learning Framework for Chart Information Extraction
- Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series Forecasting
- Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way
- Alternating Direction Method of Multipliers for Negative Binomial Model with The Weighted Difference of Anisotropic and Isotropic Total Variation
- Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
- Negative Binomial Matrix Completion
- A nudge to the truth: atom conservation as a hard constraint in models of atmospheric composition using an uncertainty-weighted correction
- Generative Bayesian Computation for Maximum Expected Utility
- Is Personality Prediction Possible Based on Reddit Comments?
All 241
- Unlocking Global Optimality in Bilevel Optimization: A Pilot Study
- Verification methods for international AI agreements
- Using Large Language Models to Create AI Personas for Replication, Generalization and Prediction of Media Effects: An Empirical Test of 133 Published Experimental Research Findings
- Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learning
- 3D Reconstruction with Spatial Memory
- Scaling Up Diffusion and Flow-based XGBoost Models
- Fairness, Accuracy, and Unreliable Data
- Efficient k-NN Search in IoT Data: Overlap Optimization in Tree-Based Indexing Structures
- Analysis of Diagnostics (Part II): Prevalence, Linear Independence, and Unsupervised Learning
- Systematic Evaluation of Synthetic Data Augmentation for Multi-class NetFlow Traffic
- EMP: Enhance Memory in Data Pruning
- Deep Learning-Based Automatic Multi-Level Airway Collapse Monitoring on Obstructive Sleep Apnea Patients
- Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis
- ANVIL: Anomaly-based Vulnerability Identification without Labelled Training Data
- Q-MRS: A Deep Learning Framework for Quantitative Magnetic Resonance Spectra Analysis
- Spatio-Temporal Context Prompting for Zero-Shot Action Detection
- Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration
- ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution
- CoGen: Learning from Feedback with Coupled Comprehension and Generation
- Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems
- More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding
- Efficient Slice Anomaly Detection Network for 3D Brain MRI Volume
- Generating Binary Species Range Maps
- Fall Detection for Smart Living using YOLOv5
- InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentation
- Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction
- Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping
- Sigma Flows for Image and Data Labeling and Learning Structured Prediction
- Local Descriptors Weighted Adaptive Threshold Filtering For Few-Shot Learning
- Generalized Naive Bayes
- DiffAge3D: Diffusion-based 3D-aware Face Aging
- Multi-modal Adversarial Training for Zero-Shot Voice Cloning
- CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization
- MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous GFlowNets
- LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments
- A New Method for Cross-Lingual-based Semantic Role Labeling
- Bias in LLMs as Annotators: The Effect of Party Cues on Labelling Decision by Large Language Models
- The Role of Fibration Symmetries in Geometric Deep Learning
- Enhancing Intrusion Detection in IoT Environments: An Advanced Ensemble Approach Using Kolmogorov-Arnold Networks
- Persuasion Games using Large Language Models
- Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers (Extended Version)
- microYOLO: Towards Single-Shot Object Detection on Microcontrollers
- Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation
- What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector
- chemtrain: Learning Deep Potential Models via Automatic Differentiation and Statistical Physics
- Shot Segmentation Based on Von Neumann Entropy for Key Frame Extraction
- Knowledge Navigator: LLM-guided Browsing Framework for Exploratory Search in Scientific Literature
- Network transferability of adversarial patches in real-time object detection
- SITransformer: Shared Information-Guided Transformer for Extreme Multimodal Summarization
- Automatic Differential Diagnosis using Transformer-Based Multi-Label Sequence Classification
- Benchmarking foundation models as feature extractors for weakly-supervised computational pathology
- Automated Mixture Analysis via Structural Evaluation
- Mining Field Data for Tree Species Recognition at Scale
- DQFormer: Towards Unified LiDAR Panoptic Segmentation with Decoupled Queries
- Multi-view Pose Fusion for Occlusion-Aware 3D Human Pose Estimation
- Object Detection for Vehicle Dashcams using Transformers
- Scaling Up Summarization: Leveraging Large Language Models for Long Text Extractive Summarization
- Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing
- Evaluating Named Entity Recognition Using Few-Shot Prompting with Large Language Models
- Language Adaptation on a Tight Academic Compute Budget: Tokenizer Swapping Works and Pure bfloat16 Is Enough
- Implicit Regularization Paths of Weighted Neural Representations
- A Survey on Facial Expression Recognition of Static and Dynamic Emotions
- Easy, Interpretable, Effective: openSMILE for voice deepfake detection
- wav2pos: Sound Source Localization using Masked Autoencoders
- Addressing the challenges of loop detection in agricultural environments
- A Neural Material Point Method for Particle-based Emulation
- Str-L Pose: Integrating Point and Structured Line for Relative Pose Estimation in Dual-Graph
- Form and meaning co-determine the realization of tone in Taiwan Mandarin spontaneous speech: the case of T2-T3 and T3-T3 tone sandhi
- Segmentation-guided Layer-wise Image Vectorization with Gradient Fills
- LM-PUB-QUIZ: A Comprehensive Framework for Zero-Shot Evaluation of Relational Knowledge in Language Models
- Advanced POD-Based Performance Evaluation of Classifiers Applied to Human Driver Lane Changing Prediction
- An Evaluation of Sindhi Word Embedding in Semantic Analogies and Downstream Tasks
- Autoregressive model path dependence near Ising criticality
- Pixels to Prose: Understanding the art of Image Captioning
- Conan-embedding: General Text Embedding with More and Better Negative Samples
- Towards Realistic Example-based Modeling via 3D Gaussian Stitching
- Evaluating Model Robustness Using Adaptive Sparse L0 Regularization
- G-Style: Stylized Gaussian Splatting
- Synthetic Forehead-creases Biometric Generation for Reliable User Verification
- TempoFormer: A Transformer for Temporally-aware Representations in Change Detection
- A quantitative model of takeover request time budget for conditionally automated driving
- DEAR: Depth-Enhanced Action Recognition
- Deep Learning Based Speckle Filtering for Polarimetric SAR Images. Application to Sentinel-1
- Towards reliable respiratory disease diagnosis based on cough sounds and vision transformers
- StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements
- An Empirical Study on Self-correcting Large Language Models for Data Science Code Generation
- TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic Segmentation
- Realigned Softmax Warping for Deep Metric Learning
- Online pre-training with long-form videos
- Harnessing the Intrinsic Knowledge of Pretrained Language Models for Challenging Text Classification Settings
- Hierarchical Blockmodelling for Knowledge Graphs
- Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment
- μgat: Improving Single-Page Document Parsing by Providing Multi-Page Context
- RIDE: Boosting 3D Object Detection for LiDAR Point Clouds via Rotation-Invariant Analysis
- Can SAR improve RSVQA performance?
- MMDRFuse: Distilled Mini-Model with Dynamic Refresh for Multi-Modality Image Fusion
- GANs Conditioning Methods: A Survey
- Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection
- CodeSift: An LLM-Based Reference-Less Framework for Automatic Code Validation
- CSAD: Unsupervised Component Segmentation for Logical Anomaly Detection
- Convergent Differential Privacy Analysis for General Federated Learning
- CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship
- Multi-Graph Inductive Representation Learning for Large-Scale Urban Rail Demand Prediction under Disruptions
- Beyond Levenshtein: Leveraging Multiple Algorithms for Robust Word Error Rate Computations And Granular Error Classifications
- Statistical QoS Provision in Business-Centric Networks
- Geometry-guided Feature Learning and Fusion for Indoor Scene Reconstruction
- ES-PTAM: Event-based Stereo Parallel Tracking and Mapping
- On the Benefits of Visual Stabilization for Frame- and Event-based Perception
- Exploring Selective Layer Fine-Tuning in Federated Learning
- VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification
- Bayesian optimization of atomic structures with prior probabilities from universal interatomic potentials
- Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection
- Temporal Attention for Cross-View Sequential Image Localization
- TagOOD: A Novel Approach to Out-of-Distribution Detection via Vision-Language Representations and Class Center Learning
- CGRA4ML: A Hardware/Software Framework to Implement Neural Networks for Scientific Edge Computing
- Generalization Capabilities of Neural Cellular Automata for Medical Image Segmentation: A Robust and Lightweight Approach
- GlaLSTM: A Concurrent LSTM Stream Framework for Glaucoma Detection via Biomarker Mining
- A Novel Denoising Technique and Deep Learning Based Hybrid Wind Speed Forecasting Model for Variable Terrain Conditions
- Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems
- SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
- An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication
- Improving Thompson Sampling via Information Relaxation for Budgeted Multi-armed Bandits
- Ray-Distance Volume Rendering for Neural Scene Reconstruction
- A Simple Baseline with Single-encoder for Referring Image Segmentation
- Depth-Weighted Detection of Behaviours of Risk in People with Dementia using Cameras
- Squid: Long Context as a New Modality for Energy-Efficient On-Device Language Models
- Continual-learning-based framework for structural damage recognition
- Toward Automated Simulation Research Workflow through LLM Prompt Engineering Design
- How Reliable are Causal Probing Interventions?
- What Machine Learning Tells Us About the Mathematical Structure of Concepts
- RoboSense: Large-scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured Environments
- Deep Learning to Predict Late-Onset Breast Cancer Metastasis: the Single Hyperparameter Grid Search (SHGS) Strategy for Meta Tuning Concerning Deep Feed-forward Neural Network
- Remove Symmetries to Control Model Expressivity and Improve Optimization
- Enhancing and Accelerating Large Language Models via Instruction-Aware Contextual Compression
- NAS-BNN: Neural Architecture Search for Binary Neural Networks
- Dynamic Reconstruction from Neuromorphic Data
- CTRQNets & LQNets: Continuous Time Recurrent and Liquid Quantum Neural Networks
- Hand1000: Generating Realistic Hands from Text with Only 1,000 Images
- PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification
- Certified Causal Defense with Generalizable Robustness
- Avoiding Generative Model Writer's Block With Embedding Nudging