Papers

New on arXiv

Tue 9 Jan 2024

159 papers

Informed AI Regulation: Comparing the Ethical Frameworks of Leading LLM Chatbots Using an Ethics-Based Audit to Assess Moral Reasoning and Normative ValuesLLM reasoning → Reasoning benchmarks and evaluation
Metacognition is all you need? Using Introspection in Generative Agents to Improve Goal-directed BehaviorLLM agents and tool use → General LLM agent frameworks and benchmarks
Concept AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent PriorMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
Fully Spiking Actor Network with Intra-layer Connections for Reinforcement LearningDeep reinforcement learning methods → Spiking and neuromorphic RL
Graph Learning-based Fleet Scheduling for Urban Air Mobility under Operational Constraints, Varying Demand & UncertaintiesDeep reinforcement learning methods → RL for robot navigation and UAV control
Translate-Distill: Learning Cross-Language Dense Retrieval by Translation and DistillationKnowledge distillation → Knowledge distillation for LLMs
Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar CreationDiffusion models → 3D, point cloud and scene generation
U-Mamba: Enhancing Long-range Dependency for Biomedical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
Agent Alignment in Evolving Social NormsLLM agents and tool use → Social simulation and multi-agent debate +1
EmoGen: Emotional Image Content Generation with Text-to-Image Diffusion ModelsDiffusion models → Audio, speech and music
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
Robust Imitation Learning for Automated Game TestingOffline RL and imitation learning from data → Imitation learning methods
Fighting Fire with Fire: Adversarial Prompting to Generate a Misinformation Detection DatasetLLM safety and security → Safety alignment, refusal and guardrails
TransportationGames: Benchmarking Transportation Knowledge of (Multimodal) Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
Dynamic Addition of Noise in a Diffusion Model for Anomaly DetectionDiffusion models → Flow matching, time series and science
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table UnderstandingLLM reasoning → Knowledge- and tool-augmented reasoning
SonicVisionLM: Playing Sound with Vision Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
Machine unlearning through fine-grained model parameters perturbationLLM safety and security → Machine unlearning
Representative Feature Extraction During Diffusion Process for Sketch Extraction with One ExampleDiffusion models → Image generation, text-to-image and editing
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial RobustnessMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
Memory-Efficient Fine-Tuning for Quantized Diffusion ModelDiffusion models → Diffusion foundations and sampling
Large Language Models for Robotics: Opportunities, Challenges, and PerspectivesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMsLLM reasoning → Reasoning for agents, planning and code
StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent EnvironmentsLLM reasoning → Spatial and embodied reasoning
Entangling Machine Learning with Quantum Tensor Networks
Towards the mathematical foundation of the minimum enclosing ball and related problems
Visual Enumeration Remains Challenging for Multimodal Generative AI
Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models
User-Centric AI Analytics for Chronic Health Conditions Management
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling
Self Supervised Vision for Climate Downscaling
DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference
AI Hallucinations: A Misnomer Worth Clarifying
Cuff-less Arterial Blood Pressure Waveform Synthesis from Single-site PPG using Transformer & Frequency-domain Learning
Can ChatGPT Compute Trustworthy Sentiment Scores from Bloomberg Market Wraps?
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Entity Recognition from Colloquial Text
A Deep Learning Representation of Spatial Interaction Model for Resilient Spatial Planning of Community Business Clusters
Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Need
On the Correctness of the Generalized Isotonic Recursive Partitioning Algorithm
The inherent goodness of well educated intelligence
T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge
GNNShap: Scalable and Accurate GNN Explanation using Shapley Values
MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer
Phishing Website Detection through Multi-Model Analysis of HTML Content
Sample-and-Bound for Non-Convex Optimization
Refining Remote Photoplethysmography Architectures using CKA and Empirical Methods
First 100 days of pandemic; an interplay of pharmaceutical, behavioral and digital interventions -- A study using agent based modeling
SOS-Match: Segmentation for Open-Set Robust Correspondence Search and Robot Localization in Unstructured Environments
Hyperbolic Machine Learning Moment Closures for the BGK Equations
Generative neural networks for characteristic functions
How predictable is language model benchmark performance?
Identifying Best Practice Melting Patterns in Induction Furnaces: A Data-Driven Approach Using Time Series KMeans Clustering and Multi-Criteria Decision Making
DedustNet: A Frequency-dominated Swin Transformer-based Wavelet Network for Agricultural Dust Removal
LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
Convolutional Neural Network Ensemble Learning for Hyperspectral Imaging-based Blackberry Fruit Ripeness Detection in Uncontrolled Farm Environment
DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation
Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-based Non-invasive Digital System
Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks
Masked AutoEncoder for Graph Clustering without Pre-defined Cluster Number k
Segment anything model (SAM) for brain extraction in fMRI studies
Content-Conditioned Generation of Stylized Free hand Sketches
Music Genre Classification: A Comparative Analysis of CNN and XGBoost Approaches with Mel-frequency cepstral coefficients and Mel Spectrograms
A Simple Baseline for Spoken Language to Sign Language Translation with 3D Avatars
Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information
Revisiting Adversarial Training at Scale
Low-resource finetuning of foundation models beats state-of-the-art in histopathology
Jump Cut Smoothing for Talking Heads
Low-Resource Vision Challenges for Foundation Models
Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers
AI-based Mapping of the Conservation Status of Orchid Assemblages at Global Scale
Mixture of multilayer stochastic block models for multiview clustering
CoordGate: Efficiently Computing Spatially-Varying Convolutions in Convolutional Neural Networks
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
Transfer-Learning-Based Autotuning Using Gaussian Copula
Benchmark Analysis of Various Pre-trained Deep Learning Models on ASSIRA Cats and Dogs Dataset
Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models
DepressionEmo: A novel dataset for multilabel classification of depression emotions
Learning to Prompt Segment Anything Models
A novel framework for generalization of deep hidden physics models
Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks
Applying Large Language Models API to Issue Classification Problem
Hypercomplex neural network in time series forecasting of stock data
Deep Reinforcement Multi-agent Learning framework for Information Gathering with Local Gaussian Processes for Water Monitoring
DebugBench: Evaluating Debugging Capability of Large Language Models
Language Detection for Transliterated Content
Generic Knowledge Boosted Pre-training For Remote Sensing Images
Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes
An Assessment on Comprehending Mental Health through Large Language Models
A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data
Effective pruning of web-scale datasets based on complexity of concept clusters
Masked Audio Generation using a Single Non-Autoregressive Transformer
Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understanding
An Automatic Cascaded Model for Hemorrhagic Stroke Segmentation and Hemorrhagic Volume Estimation
Phase-shifted remote photoplethysmography for estimating heart rate and blood pressure from facial video
HyperGANStrument: Instrument Sound Synthesis and Editing with Pitch-Invariant Hypernetworks
Linear Recursive Feature Machines provably recover low-rank matrices
WaveletFormerNet: A Transformer-based Wavelet Network for Real-world Non-homogeneous and Dense Fog Removal

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