Papers
Fri 26 Jan 2024
170 papers
- From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance ProcessRetrieval-augmented generation → RAG pipeline design and evaluation
- Unlearning Traces the Influential Training Data of Language ModelsLLM safety and security → Machine unlearning
- MEA-Defender: A Robust Watermark against Model Extraction AttackLLM safety and security → Watermarking generated content and models
- Regularized Q-Learning with Linear Function ApproximationDeep reinforcement learning methods → RL theory and sample complexity
- Scalable Qualitative Coding with LLMs: Chain-of-Thought Reasoning Matches Human Performance in Some Hermeneutic TasksLLM reasoning → Reasoning benchmarks and evaluation
- Large Language Model Guided Knowledge Distillation for Time Series Anomaly DetectionKnowledge distillation → Detection and dense prediction distillation
- EAGLE: Speculative Sampling Requires Rethinking Feature UncertaintyLLM reasoning → Test-time compute and efficient thinking +1
- Annotated Hands for Generative ModelsDiffusion models → Diffusion and flow policies for robotics
- From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four ModalitiesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- On the generalization capacity of neural networks during generic multimodal reasoningLLM reasoning → Multimodal reasoning
- DAM: Diffusion Activation Maximization for 3D Global ExplanationsDiffusion models → 3D, point cloud and scene generation
- Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful TasksDeep reinforcement learning methods → RL training of language and agent models
- The Power of Noise: Redefining Retrieval for RAG SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
- RESPRECT: Speeding-up Multi-fingered Grasping with Residual Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Text Image Inpainting via Global Structure-Guided Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- On the Limitations of Markovian Rewards to Express Multi-Objective, Risk-Sensitive, and Modal TasksDeep reinforcement learning methods → RL theory and sample complexity
- Off-Policy Primal-Dual Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- A Survey on Future Frame Synthesis: Bridging Deterministic and Generative ApproachesWorld models → Video-generation world models and simulators
- Under the Surface: Tracking the Artifactuality of LLM-Generated DataSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model SupportMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive BiasLLM agents and tool use → Medical and scientific domain agents
- Low-cost modular devices for on-road vehicle detection and characterisation
- VN-Net: Vision-Numerical Fusion Graph Convolutional Network for Sparse Spatio-Temporal Meteorological Forecasting
- AM^2-EmoJE: Adaptive Missing-Modality Emotion Recognition in Conversation via Joint Embedding Learning
- Deep Joint Source-Channel Coding for Efficient and Reliable Cross-Technology Communication
- Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data
- Electrical Behavior Association Mining for Household ShortTerm Energy Consumption Forecasting
- Fuzzy clustering of circular time series based on a new dependence measure with applications to wind data
- Application analysis of ai technology combined with spiral CT scanning in early lung cancer screening
- Unlocking Criminal Hierarchies: A Survey, Experimental, and Comparative Exploration of Techniques for Identifying Leaders within Criminal Networks
- Tweet Influence on Market Trends: Analyzing the Impact of Social Media Sentiment on Biotech Stocks
- Zeroth-Order primal-dual Alternating Projection Gradient Algorithms for Nonconvex Minimax Problems with Coupled linear Constraints
- Non-Consensual Synthetic Intimate Imagery: Prevalence, Attitudes, and Knowledge in 10 Countries
- Deep Learning Based Amharic Chatbot for FAQs in Universities
- Measuring Moral Inconsistencies in Large Language Models
- Bloom-epistemic and sentiment analysis hierarchical classification in course discussion forums
- Predicting loss-of-function impact of genetic mutations: a machine learning approach
- Do deep neural networks utilize the weight space efficiently?
- A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data
- A novel ANROA based control approach for grid-tied multi-functional solar energy conversion system
- Employing Iterative Feature Selection in Fuzzy Rule-Based Binary Classification
- Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
- Training Differentially Private Ad Prediction Models with Semi-Sensitive Features
- GenPluSSS: A Genetic Algorithm Based Plugin for Measured Subsurface Scattering Representation
- Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games
- Deep Learning with Tabular Data: A Self-supervised Approach
- Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-drones
- CascadedGaze: Efficiency in Global Context Extraction for Image Restoration
- Biological Valuation Map of Flanders: A Sentinel-2 Imagery Analysis
- Transfer Learning for the Prediction of Entity Modifiers in Clinical Text: Application to Opioid Use Disorder Case Detection
- Robust Plan Evaluation based on Approximate Probabilistic Machine Learning
- HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy
- LYT-NET: Lightweight YUV Transformer-based Network for Low-light Image Enhancement
- FedGT: Federated Node Classification with Scalable Graph Transformer
- SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance
- CAREForMe: Contextual Multi-Armed Bandit Recommendation Framework for Mental Health
- Kitchen Food Waste Image Segmentation and Classification for Compost Nutrients Estimation
- AMuSE: Adaptive Multimodal Analysis for Speaker Emotion Recognition in Group Conversations
- FDR-Controlled Portfolio Optimization for Sparse Financial Index Tracking
- On the Emergence of Symmetrical Reality
- Evaluation of LLM Chatbots for OSINT-based Cyber Threat Awareness
- Sensor-Based Data Acquisition via Ubiquitous Device to Detect Muscle Strength Training Activities
- A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics
- Expressive Power of ReLU and Step Networks under Floating-Point Operations
- Incorporating simulated spatial context information improves the effectiveness of contrastive learning models
- Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 Infections
- GeoDecoder: Empowering Multimodal Map Understanding
- Pairing Orthographically Variant Literary Words to Standard Equivalents Using Neural Edit Distance Models
- Expert with Clustering: Hierarchical Online Preference Learning Framework
- Fully Independent Communication in Multi-Agent Reinforcement Learning
- Deep learning-based approach for tomato classification in complex scenes
- LongFin: A Multimodal Document Understanding Model for Long Financial Domain Documents
- Unrecognizable Yet Identifiable: Image Distortion with Preserved Embeddings
- Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement Learning
- PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models
- Learning Neural Radiance Fields of Forest Structure for Scalable and Fine Monitoring
- SliceGPT: Compress Large Language Models by Deleting Rows and Columns
- Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review
- Enhancement of a Text-Independent Speaker Verification System by using Feature Combination and Parallel-Structure Classifiers
- Airavata: Introducing Hindi Instruction-tuned LLM
- BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning
- Graph-based Active Learning for Entity Cluster Repair
- Mapping-to-Parameter Nonlinear Functional Regression with Novel B-spline Free Knot Placement Algorithm
- Embedding-based search in JetBrains IDEs
- Discovering group dynamics in coordinated time series via hierarchical recurrent switching-state models
- Atmosphere: Context and situational-aware collaborative IoT architecture for edge-fog-cloud computing
- Masked Pre-training Enables Universal Zero-shot Denoiser
- Set-Based Training for Neural Network Verification
- Learning Universal Predictors
- Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
- SSDOnt: an Ontology for representing Single-Subject Design Studies
- Do LLMs Dream of Ontologies?
- PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus
- Charting the Future of AI in Project-Based Learning: A Co-Design Exploration with Students
- Learning Local Control Barrier Functions for Hybrid Systems
- MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer
- A structured regression approach for evaluating model performance across intersectional subgroups
- Comparison of parameters of vowel sounds of russian and english languages
- P3LS: Partial Least Squares under Privacy Preservation
- Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem
All 170
- F-Eval: Assessing Fundamental Abilities with Refined Evaluation Methods
- Particle-MALA and Particle-mGRAD: Gradient-based MCMC methods for high-dimensional state-space models
- Implicit Neural Representation for Physics-driven Actuated Soft Bodies
- Memory-Inspired Temporal Prompt Interaction for Text-Image Classification
- Extracting Process-Aware Decision Models from Object-Centric Process Data
- Understanding Domain Generalization: A Noise Robustness Perspective
- Adaptive Point Transformer
- GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption
- Multi-modality action recognition based on dual feature shift in vehicle cabin monitoring
- The Machine Vision Iceberg Explained: Advancing Dynamic Testing by Considering Holistic Environmental Relations
- TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts
- Endowing Protein Language Models with Structural Knowledge
- Developing ChemDFM as a large language foundation model for chemistry
- Cyclic Group Projection for Enumerating Quasi-Cyclic Codes Trapping Sets
- PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning
- Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition
- Study of the gOMP Algorithm for Recovery of Compressed Sensed Hyperspectral Images
- SimpleEgo: Predicting Probabilistic Body Pose from Egocentric Cameras
- Large Language Model Adaptation for Financial Sentiment Analysis
- Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction
- A Comparative Study of Compressive Sensing Algorithms for Hyperspectral Imaging Reconstruction
- VJT: A Video Transformer on Joint Tasks of Deblurring, Low-light Enhancement and Denoising
- Topology-Aware Exploration of Energy-Based Models Equilibrium: Toric QC-LDPC Codes and Hyperbolic MET QC-LDPC Codes
- Synthetic Multimodal Dataset for Empowering Safety and Well-being in Home Environments
- Personality Perception in Human Videos Altered by Motion Transfer Networks
- Residual Quantization with Implicit Neural Codebooks
- Sketch and Refine: Towards Fast and Accurate Lane Detection
- 3D Reconstruction and New View Synthesis of Indoor Environments based on a Dual Neural Radiance Field
- A Nonparametric Bayes Approach to Online Activity Prediction
- pLitterStreet: Street Level Plastic Litter Detection and Mapping
- Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusion
- AFD: Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement
- Additional Look into GAN-based Augmentation for Deep Learning COVID-19 Image Classification
- FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently
- Asymptotic Midpoint Mixup for Margin Balancing and Moderate Broadening
- Continuously Evolving Graph Neural Controlled Differential Equations for Traffic Forecasting
- TA-RNN: an Attention-based Time-aware Recurrent Neural Network Architecture for Electronic Health Records
- SSR: SAM is a Strong Regularizer for domain adaptive semantic segmentation
- MasonTigers@LT-EDI-2024: An Ensemble Approach Towards Detecting Homophobia and Transphobia in Social Media Comments
- MaLLaM -- Malaysia Large Language Model
- Multi-model learning by sequential reading of untrimmed videos for action recognition
- PepGB: Facilitating peptide drug discovery via graph neural networks
- UNIT-DSR: Dysarthric Speech Reconstruction System Using Speech Unit Normalization
- From Blurry to Brilliant Detection: YOLO-Based Aerial Object Detection with Super Resolution
- Validating Climate Models with Spherical Convolutional Wasserstein Distance
- Scientific Large Language Models: A Survey on Biological & Chemical Domains
- A Korean Legal Judgment Prediction Dataset for Insurance Disputes
- Omnipredictors for Regression and the Approximate Rank of Convex Functions
- Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution
- Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs
- T-Rex: Text-assisted Retrosynthesis Prediction
- Efficient Constraint Generation for Stochastic Shortest Path Problems
- An Empirical Investigation of Domain Adaptation Ability for Chinese Spelling Check Models
- Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment
- Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning
- Toward Practical Automatic Speech Recognition and Post-Processing: a Call for Explainable Error Benchmark Guideline
- Unearthing Large Scale Domain-Specific Knowledge from Public Corpora
- Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank
- A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research
- Alternative Speech: Complementary Method to Counter-Narrative for Better Discourse
- Physically Informed Synchronic-adaptive Learning for Industrial Systems Modeling in Heterogeneous Media with Unavailable Time-varying Interface
- Robust Estimation of the Tail Index of a Single Parameter Pareto Distribution from Grouped Data
- Ricci flow regularization in latent spaces for the forward learning of partial differential equations
- CNG-SFDA:Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation
- Diffusion Stochastic Optimization for Min-Max Problems
- Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks
- Recognizing Multiple Ingredients in Food Images Using a Single-Ingredient Classification Model
- GOAt: Explaining Graph Neural Networks via Graph Output Attribution
- An Algorithm for Streaming Differentially Private Data
- Driving Towards Inclusion: A Systematic Review of AI-powered Accessibility Enhancements for People with Disability in Autonomous Vehicles