Papers

New on arXiv

Fri 10 May 2024

193 papers

C-ShipGen: A Conditional Guided Diffusion Model for Parametric Ship Hull DesignDiffusion models → Flow matching, time series and science
Self-Consistent Recursive Diffusion Bridge for Medical Image TranslationDiffusion models → Medical imaging and segmentation
Shape Conditioned Human Motion Generation with Diffusion ModelDiffusion models → Video generation
Hedging American Put Options with Deep Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
Space Processor Computation Time Analysis for Reinforcement Learning and Run Time Assurance Control PoliciesDeep reinforcement learning methods → RL for robot navigation and UAV control
Demonstrating Reinforcement Learning and Run Time Assurance for Spacecraft Inspection Using Unmanned Aerial VehiclesDeep reinforcement learning methods → RL for robot navigation and UAV control
Value Augmented Sampling for Language Model Alignment and PersonalizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
Multimodal LLMs Struggle with Basic Visual Network Analysis: a VNA BenchmarkMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI SystemsWorld models → Latent dynamics models and model-based RL
An Investigation of Incorporating Mamba for Speech EnhancementState-space sequence models (S4, Mamba) → Speech and audio SSMs
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image ClassificationMultimodal LLMs / vision-language models → Medical vision-language models
Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning CorpusLLM reasoning → Multimodal reasoning
Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPsDeep reinforcement learning methods → RL theory and sample complexity
Learning Latent Dynamic Robust Representations for World ModelsWorld models → Latent dynamics models and model-based RL +1
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning ProcessLLM reasoning → Spatial and embodied reasoning
For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name-Gender PredictionKnowledge distillation → Knowledge distillation for LLMs
SKVQ: Sliding-window Key and Value Cache Quantization for Large Language ModelsEfficient LLM inference and serving → KV cache quantization
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight BlocksMultimodal LLMs / vision-language models → Medical vision-language models
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
Prior-guided Diffusion Model for Cell Segmentation in Quantitative Phase ImagingDiffusion models → Medical imaging and segmentation
Light-SLAM: A Robust Deep-Learning Visual SLAM System Based on LightGlue under Challenging Lighting Conditions
An Assessment of Model-On-Model Deception
FunnelNet: An End-to-End Deep Learning Framework to Monitor Digital Heart Murmur in Real-Time
A Survey of Large Language Models for Graphs
Linear Explanations for Individual Neurons
Nonlinear classification of neural manifolds with contextual information
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs
ISR: Invertible Symbolic Regression
Dominion: A New Frontier for AI Research
CasCalib: Cascaded Calibration for Motion Capture from Sparse Unsynchronized Cameras
Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis
Improving Targeted Molecule Generation through Language Model Fine-Tuning Via Reinforcement Learning
Automating Code Adaptation for MLOps -- A Benchmarking Study on LLMs
G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping
PLeak: Prompt Leaking Attacks against Large Language Model Applications
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
Synchronized Object Detection for Autonomous Sorting, Mapping, and Quantification of Materials in Circular Healthcare
A Systematic Review of NLP for Ghanaian Languages: Datasets, Models, and a Research Roadmap
Non-stationary Domain Generalization: Theory and Algorithm
Dual-Task Vision Transformer for Rapid and Accurate Intracerebral Hemorrhage CT Image Classification
Large Language Model in Financial Regulatory Interpretation
Execution-Based Evaluation of Natural Language to Bash and PowerShell for Incident Remediation
Summarizing Radiology Reports Findings into Impressions
LLM-Generated Black-box Explanations Can Be Adversarially Helpful
SAM3D: Zero-Shot Semi-Automatic Segmentation in 3D Medical Images with the Segment Anything Model
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare
BLIP: Facilitating the Exploration of Undesirable Consequences of Digital Technologies
GraphRelate3D: Context-Dependent 3D Object Detection with Inter-Object Relationship Graphs
Deep MMD Gradient Flow without adversarial training
CANAL -- Cyber Activity News Alerting Language Model: Empirical Approach vs. Expensive LLM
Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detection
LIVE: LaTex Interactive Visual Editing
Opportunities for Persian Digital Humanities Research with Artificial Intelligence Language Models; Case Study: Forough Farrokhzad
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs
Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation
Music Emotion Prediction Using Recurrent Neural Networks
A Global Data-Driven Model for The Hippocampus and Nucleus Accumbens of Rat From The Local Field Potential Recordings (LFP)
Fine-tuning Protein Language Models with Deep Mutational Scanning improves Variant Effect Prediction
Approximation Error and Complexity Bounds for ReLU Networks on Low-Regular Function Spaces
On the Shape of Brainscores for Large Language Models (LLMs)
Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models
Kolmogorov-Arnold Networks are Radial Basis Function Networks
Enhancing Traffic Prediction with Textual Data Using Large Language Models
Linearizing Large Language Models
Federated Document Visual Question Answering: A Pilot Study
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)
Characterizing the Accuracy -- Efficiency Trade-off of Low-rank Decomposition in Language Models
"We are at the mercy of others' opinion": Supporting Blind People in Recreational Window Shopping with AI-infused Technology
Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation
Explaining Text Similarity in Transformer Models
Multi-Object Tracking in the Dark
A Lightweight Sparse Focus Transformer for Remote Sensing Image Change Captioning
Non-Uniform Spatial Alignment Errors in sUAS Imagery From Wide-Area Disasters
Decomposing weather forecasting into advection and convection with neural networks
Enhancing Weakly Supervised Semantic Segmentation with Multi-modal Foundation Models: An End-to-End Approach
The Role of Learning Algorithms in Collective Action
No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization
Deep video representation learning: a survey
Efficient Federated Low Rank Matrix Completion
What Can Natural Language Processing Do for Peer Review?
Reservoir Computing Benchmarks: a tutorial review and critique
Random matrix theory improved Fr'echet mean of symmetric positive definite matrices
Scalable Property Valuation Models via Graph-based Deep Learning
ADSumm: Annotated Ground-truth Summary Datasets for Disaster Tweet Summarization
Sampling the Swadesh List to Identify Similar Languages with Tree Spaces
OneTo3D: One Image to Re-editable Dynamic 3D Model and Video Generation
Sharp analysis of out-of-distribution error for "importance-weighted" estimators in the overparameterized regime
Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval
ATSumm: Auxiliary information enhanced approach for abstractive disaster Tweet Summarization with sparse training data
Mesh Denoising Transformer
Controllable Image Generation with Composed Parallel Token Prediction
SSA-Seg: Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation
Prompting Large Language Models with Knowledge Graphs for Question Answering Involving Long-tail Facts
Heterogeneous Graph Neural Networks with Loss-decrease-aware Curriculum Learning
UniDM: A Unified Framework for Data Manipulation with Large Language Models
Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External Data
Aspect-based Sentiment Evaluation of Chess Moves (ASSESS): an NLP-based Method for Evaluating Chess Strategies from Textbooks
Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training
Solving Quantified Boolean Formulas with Few Existential Variables

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