Papers
Sat 13 Jan 2024
91 papers
- EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health RecordsLLM reasoning → Clinical and biomedical applications
- Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language ModelsLLM agents and tool use → Social simulation and multi-agent debate
- Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial TransferabilityDiffusion models → Robustness, privacy and adversarial aspects
- COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription PolicyOffline RL and imitation learning from data → Offline RL algorithms
- Quantum Denoising Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State EnsembleDiffusion models → Diffusion foundations and sampling
- xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Denoising Diffusion Recommender ModelDiffusion models → Diffusion recommenders
- CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning CapabilitiesLLM reasoning → Mathematical reasoning
- Bridging the Preference Gap between Retrievers and LLMsRetrieval-augmented generation → RAG pipeline design and evaluation
- Tracing the Genealogies of Ideas with Large Language Model Embeddings
- Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding
- Artificial intelligence to automate the systematic review of scientific literature
- Triamese-ViT: A 3D-Aware Method for Robust Brain Age Estimation from MRIs
- Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation
- Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making
- Contrastive Learning with Negative Sampling Correction
- NODI: Out-Of-Distribution Detection with Noise from Diffusion
- Automated Answer Validation using Text Similarity
- DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception
- Attention Modules Improve Modern Image-Level Anomaly Detection: A DifferNet Case Study
- Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization
- On the (In)Compatibility between Group Fairness and Individual Fairness
- A New Method of Pixel-level In-situ U-value Measurement for Building Envelopes Based on Infrared Thermography
- Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
- Discovering Command and Control Channels Using Reinforcement Learning
- Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning
- Deep Blind Super-Resolution for Satellite Video
- IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI data
- Concrete Surface Crack Detection with Convolutional-based Deep Learning Models
- One Agent Too Many: User Perspectives on Approaches to Multi-agent Conversational AI
- Curator: Efficient Indexing for Multi-Tenant Vector Databases
- Exploring of Discrete and Continuous Input Control for AI-enhanced Assistive Robotic Arms
- Revisiting Sampson Approximations for Geometric Estimation Problems
- Hebbian Learning from First Principles
- Directed Regular and Context-Free Languages
- Graph Language Models
- Leveraging Large Language Models for NLG Evaluation: Advances and Challenges
- Evolving Code with A Large Language Model
- A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation using GPT
- Optimization of Inter-group Criteria for Clustering with Minimum Size Constraints
- Three Mechanisms of Feature Learning in a Linear Network
- GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching
- PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities
- InterEvo-TR: Interactive Evolutionary Test Generation With Readability Assessment
- Classification of Volatile Organic Compounds by Differential Mobility Spectrometry Based on Continuity of Alpha Curves
- Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
- Dirichlet-Based Prediction Calibration for Learning with Noisy Labels
- Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition
- Does More Advice Help? The Effects of Second Opinions in AI-Assisted Decision Making
- Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms
- A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis
- BP(λ): Online Learning via Synthetic Gradients
- Quantum Advantage Actor-Critic for Reinforcement Learning
- GEML: A Grammar-based Evolutionary Machine Learning Approach for Design-Pattern Detection
- An automated framework for brain vessel centerline extraction from CTA images
- Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
- Image edge enhancement for effective image classification
- Edge-Enabled Anomaly Detection and Information Completion for Social Network Knowledge Graphs
- Empowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images
- Weak Labeling for Cropland Mapping in Africa
- Knowledge Distillation of Black-Box Large Language Models
- An ADRC-Incorporated Stochastic Gradient Descent Algorithm for Latent Factor Analysis
- Joint Extraction of Uyghur Medicine Knowledge with Edge Computing
- Extending LLMs' Context Window with 100 Samples
- Deep Neural Network Solutions for Oscillatory Fredholm Integral Equations
- Datasets, Clues and State-of-the-Arts for Multimedia Forensics: An Extensive Review
- Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset
- A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler
- UniVision: A Unified Framework for Vision-Centric 3D Perception
- Progressive Feature Fusion Network for Enhancing Image Quality Assessment
- Gradient Coreset for Federated Learning
- Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization
- Distance-aware Attention Reshaping: Enhance Generalization of Neural Solver for Large-scale Vehicle Routing Problems
- ENTED: Enhanced Neural Texture Extraction and Distribution for Reference-based Blind Face Restoration
- Singing the Body Electric: The Impact of Robot Embodiment on User Expectations
- Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation via Decoupling Optimization
- TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification
- Domain Adaptation for Large-Vocabulary Object Detectors
- NHANES-GCP: Leveraging the Google Cloud Platform and BigQuery ML for reproducible machine learning with data from the National Health and Nutrition Examination Survey
- Transformer for Object Re-Identification: A Survey
- EVOKE: Emotion Enabled Virtual Avatar Mapping Using Optimized Knowledge Distillation
- FedDriveScore: Federated Scoring Driving Behavior with a Mixture of Metric Distributions
- Reinforcement Learning for Scalable Train Timetable Rescheduling with Graph Representation
- E^2-LLM: Efficient and Extreme Length Extension of Large Language Models
- ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization
- Parameter-Efficient Detoxification with Contrastive Decoding
- 3D Object Detection and High-Resolution Traffic Parameters Extraction Using Low-Resolution LiDAR Data
- Knowledge-Centric Templatic Views of Documents
- Accelerated Sampling of Rare Events using a Neural Network Bias Potential
- MiTTenS: A Dataset for Evaluating Gender Mistranslation