Papers
Tue 30 Jan 2024
259 papers
- Rethinking Interpretability in the Era of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation +1
- PACE: A Pragmatic Agent for Enhancing Communication Efficiency Using Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless SystemsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Security and Privacy Challenges of Large Language Models: A SurveyLLM safety and security → Prompt injection and agent security
- CaMU: Disentangling Causal Effects in Deep Model UnlearningLLM safety and security → Machine unlearning
- Efficient Tool Use with Chain-of-Abstraction ReasoningLLM reasoning → Reasoning benchmarks and evaluation +1
- Synthetic Dialogue Dataset Generation using LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Robust Prompt Optimization for Defending Language Models Against Jailbreaking AttacksLLM safety and security → Jailbreaking
- You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale DistillationDiffusion models → Inverse problems and image restoration
- Weak-to-Strong Jailbreaking on Large Language ModelsLLM safety and security → Jailbreaking
- MouSi: Poly-Visual-Expert Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- GazeGPT: Augmenting Human Capabilities using Gaze-contingent Contextual AI for Smart EyewearMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ContactGen: Contact-Guided Interactive 3D Human Generation for PartnersDiffusion models → Video generation
- Embracing Language Inclusivity and Diversity in CLIP through Continual Language LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Transfer Learning for Text Diffusion ModelsDiffusion models → Discrete and text diffusion
- Zero-Shot Reinforcement Learning via Function EncodersDeep reinforcement learning methods → Deep RL algorithms and representations
- Conditional and Modal Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo ChatLLM agents and tool use → General LLM agent frameworks and benchmarks
- Explainable data-driven modeling via mixture of experts: towards effective blending of grey and black-box modelsMixture-of-experts → MoE theory and gating functions
- Online Robot Navigation and Manipulation with Distilled Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Retrieval Augmented Deep Anomaly Detection for Tabular DataRetrieval-augmented generation → Privacy and security of RAG
- CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
- M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion ControlDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Checkmating One, by Using Many: Combining Mixture of Experts with MCTS to Improve in ChessMixture-of-experts → MoE in reinforcement learning and robotics
- EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing DomainMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Provably Robust Multi-bit Watermarking for AI-generated TextLLM safety and security → Watermarking generated content and models
- Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent DebateLLM agents and tool use → General LLM agent frameworks and benchmarks
- Extrinsicaly Rewarded Soft Q Imitation Learning with DiscriminatorOffline RL and imitation learning from data → Imitation learning methods +1
- A Cross-Language Investigation into Jailbreak Attacks in Large Language ModelsLLM safety and security → Jailbreaking
- BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View DiffusionDiffusion models → 3D, point cloud and scene generation
- Pick-and-Draw: Training-free Semantic Guidance for Text-to-Image PersonalizationDiffusion models → Image generation, text-to-image and editing
- Diffusion model for relational inferenceDiffusion models → Diffusion foundations and sampling
- Gradient-Based Language Model Red TeamingLLM safety and security → Prompt injection and agent security
- ILBiT: Imitation Learning for Robot Using Position and Torque Information based on Bilateral Control with TransformerOffline RL and imitation learning from data → Robot manipulation imitation learning
- Augmenting Replay in World Models for Continual Reinforcement LearningWorld models → Latent dynamics models and model-based RL +1
- Improving Reinforcement Learning from Human Feedback with Efficient Reward Model EnsembleLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- A Survey on Generative AI and LLM for Video Generation, Understanding, and Streaming
- STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models
- Neural Loss Function Evolution for Large-Scale Image Classifier Convolutional Neural Networks
- Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators
- Using Sequential Runtime Distributions for the Parallel Speedup Prediction of SAT Local Search
- Bridging Human Concepts and Computer Vision for Explainable Face Verification
- VerifIoU -- Robustness of Object Detection to Perturbations
- Multi-view Subspace Clustering via An Adaptive Consensus Graph Filter
- One-Spike SNN: Single-Spike Phase Coding with Base Manipulation for ANN-to-SNN Conversion Loss Minimization
- Numerical analysis of physics-informed neural networks and related models in physics-informed machine learning
- Human-Centric Goal Reasoning with Ripple-Down Rules
- Review of algorithms for predicting fatigue using EEG
- Progress in artificial intelligence applications based on the combination of self-driven sensors and deep learning
- QACP: An Annotated Question Answering Dataset for Assisting Chinese Python Programming Learners
- Spatial Computing: Concept, Applications, Challenges and Future Directions
- From Metrics to Meaning: Time to Rethink Evaluation in Human-AI Collaborative Design
- Exploring Prime Number Classification: Achieving High Recall Rate and Rapid Convergence with Sparse Encoding
- NanoNER: Named Entity Recognition for nanobiology using experts' knowledge and distant supervision
- When Large Language Models Meet Vector Databases: A Survey
- Commercial AI, Conflict, and Moral Responsibility: A theoretical analysis and practical approach to the moral responsibilities associated with dual-use AI technology
- Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube
- Systematic Literature Review: Computational Approaches for Humour Style Classification
- Aalap: AI Assistant for Legal & Paralegal Functions in India
- SpecDiff-GAN: A Spectrally-Shaped Noise Diffusion GAN for Speech and Music Synthesis
- Identifying False Content and Hate Speech in Sinhala YouTube Videos by Analyzing the Audio
- Performance Assessment of ChatGPT vs Bard in Detecting Alzheimer's Dementia
- Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
- Large Language Models in Cybersecurity: State-of-the-Art
- Unlocking the Power of Multi-institutional Data: Integrating and Harmonizing Genomic Data Across Institutions
- Exploitation Strategies in Conditional Markov Chain Search: A case study on the three-index assignment problem
- D-Nikud: Enhancing Hebrew Diacritization with LSTM and Pretrained Models
- Explainable AI for survival analysis: a median-SHAP approach
- Unraveling the Impact of Initial Choices and In-Loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy
- EvoMerge: Neuroevolution for Large Language Models
- Using the Abstract Computer Architecture Description Language to Model AI Hardware Accelerators
- Adapting Amidst Degradation: Cross Domain Li-ion Battery Health Estimation via Physics-Guided Test-Time Training
- Online speaker diarization of meetings guided by speech separation
- Anything in Any Scene: Photorealistic Video Object Insertion
- Arrows of Time for Large Language Models
- LeTO: Learning Constrained Visuomotor Policy with Differentiable Trajectory Optimization
- AdvGPS: Adversarial GPS for Multi-Agent Perception Attack
- Improving QA Model Performance with Cartographic Inoculation
- Towards Visual Syntactical Understanding
- Pixel to Elevation: Learning to Predict Elevation Maps at Long Range using Images for Autonomous Offroad Navigation
- Detecting mental disorder on social media: a ChatGPT-augmented explainable approach
- Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
- A Preliminary Study on Using Large Language Models in Software Pentesting
- Multiscale Parallel Tempering for Fast Sampling on Redistricting Plans
- Liquid Democracy for Low-Cost Ensemble Pruning
- Explaining Predictive Uncertainty by Exposing Second-Order Effects
- Difficulty Modelling in Mobile Puzzle Games: An Empirical Study on Different Methods to Combine Player Analytics and Simulated Data
- Can LLMs Replace Economic Choice Prediction Labs? The Case of Language-based Persuasion Games
- Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications
- Superiority of Multi-Head Attention in In-Context Linear Regression
- Application of Neural Networks for the Reconstruction of Supernova Neutrino Energy Spectra Following Fast Neutrino Flavor Conversions
- Through-Wall Imaging based on WiFi Channel State Information
- Solving Boltzmann Optimization Problems with Deep Learning
- Step-size Optimization for Continual Learning
- Efficient Learning of Convolution Weights as Gaussian Mixture Model Posteriors
- Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks
- Customizing Language Model Responses with Contrastive In-Context Learning
- Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens
All 259
- Arabic Tweet Act: A Weighted Ensemble Pre-Trained Transformer Model for Classifying Arabic Speech Acts on Twitter
- Time Series Supplier Allocation via Deep Black-Litterman Model
- Reproducibility, energy efficiency and performance of pseudorandom number generators in machine learning: a comparative study of python, numpy, tensorflow, and pytorch implementations
- YTCommentQA: Video Question Answerability in Instructional Videos
- A Latent Space Metric for Enhancing Prediction Confidence in Earth Observation Data
- A simple, strong baseline for building damage detection on the xBD dataset
- YOLO-World: Real-Time Open-Vocabulary Object Detection
- Effect of Weight Quantization on Learning Models by Typical Case Analysis
- Weaver: Foundation Models for Creative Writing
- ReacLLaMA: Merging chemical and textual information in chemical reactivity AI models
- Proactive Detection of Voice Cloning with Localized Watermarking
- SLIC: A Learned Image Codec Using Structure and Color
- LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation
- Achieving More Human Brain-Like Vision via Human EEG Representational Alignment
- ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models
- Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning
- Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI
- Gazetteer-Enhanced Bangla Named Entity Recognition with BanglaBERT Semantic Embeddings K-Means-Infused CRF Model
- Adaptive Experiment Design with Synthetic Controls
- CPR++: Object Localization via Single Coarse Point Supervision
- NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques
- Single Word Change is All You Need: Using LLMs to Create Synthetic Training Examples for Text Classifiers
- Nested Construction of Polar Codes via Transformers
- Multi-Camera Asynchronous Ball Localization and Trajectory Prediction with Factor Graphs and Human Poses
- GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs
- Data-Driven Discovery of PDEs via the Adjoint Method
- A large dataset curation and benchmark for drug target interaction
- Learning Domain-Independent Green's Function For Elliptic Partial Differential Equations
- Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios
- Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis
- An Open Software Suite for Event-Based Video
- Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
- Systematically Assessing the Security Risks of AI/ML-enabled Connected Healthcare Systems
- SongBsAb: A Dual Prevention Approach against Singing Voice Conversion based Illegal Song Covers
- Personalized Differential Privacy for Ridge Regression
- Quantum time dynamics mediated by the Yang-Baxter equation and artificial neural networks
- Evaluation in Neural Style Transfer: A Review
- H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation
- MT-Ranker: Reference-free machine translation evaluation by inter-system ranking
- Deep Learning-Driven Approach for Handwritten Chinese Character Classification
- Traffic estimation in unobserved network locations using data-driven macroscopic models
- StrokeNUWA: Tokenizing Strokes for Vector Graphic Synthesis
- NNOSE: Nearest Neighbor Occupational Skill Extraction
- Active Generation Network of Human Skeleton for Action Recognition
- Dynamical Survival Analysis with Controlled Latent States
- Non-central panorama indoor dataset
- SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
- Efficient Gesture Recognition on Spiking Convolutional Networks Through Sensor Fusion of Event-Based and Depth Data
- Outline of an Independent Systematic Blackbox Test for ML-based Systems
- OmniSCV: An Omnidirectional Synthetic Image Generator for Computer Vision
- Atlanta Scaled layouts from non-central panoramas
- Floor extraction and door detection for visually impaired guidance
- BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapolation
- ViTree: Single-path Neural Tree for Step-wise Interpretable Fine-grained Visual Categorization
- Explaining Explanations in Probabilistic Logic Programming
- Scalable Mechanism Design for Multi-Agent Path Finding
- Forecasting VIX using Bayesian Deep Learning
- Gower's similarity coefficients with automatic weight selection
- Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests
- Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR
- Enhancing Gaussian Process Surrogates for Optimization and Posterior Approximation via Random Exploration
- Data organization limits the predictability of binary classification
- Robust Kernel Sparse Subspace Clustering
- Multilayer Graph Approach to Deep Subspace Clustering
- LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring its Applications
- Heterogeneous treatment effect estimation with subpopulation identification for personalized medicine in opioid use disorder
- Static and Dynamic Synthesis of Bengali and Devanagari Signatures
- MF-MOS: A Motion-Focused Model for Moving Object Segmentation
- Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets
- Finetuning Large Language Models for Vulnerability Detection
- Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels
- Causal Machine Learning for Cost-Effective Allocation of Development Aid
- Multiple Yield Curve Modeling and Forecasting using Deep Learning
- ActDroid: An active learning framework for Android malware detection
- Selection of gamma events from IACT images with deep learning methods
- Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow
- Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attribution
- Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment
- Online Resource Allocation with Non-Stationary Customers
- Dynamical System Identification, Model Selection and Model Uncertainty Quantification by Bayesian Inference
- Segmentation and Characterization of Macerated Fibers and Vessels Using Deep Learning
- Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data
- Dynamic MRI reconstruction using low-rank plus sparse decomposition with smoothness regularization
- Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation
- Sparse Portfolio Selection via Topological Data Analysis based Clustering
- Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials
- Cross-Lingual Transfer from Related Languages: Treating Low-Resource Maltese as Multilingual Code-Switching
- CAFCT-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation
- Zero-shot Classification using Hyperdimensional Computing
- A Tournament of Transformation Models: B-Spline-based vs. Mesh-based Multi-Objective Deformable Image Registration
- State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking
- Repositioning the Subject within Image
- Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case Study
- Coseparable Nonnegative Tensor Factorization With T-CUR Decomposition
- Analysis of Knowledge Tracing performance on synthesised student data
- H2O-Danube-1.8B Technical Report
- Reviving Undersampling for Long-Tailed Learning
- An Embeddable Implicit IUVD Representation for Part-based 3D Human Surface Reconstruction
- Encoding Temporal Statistical-space Priors via Augmented Representation
- Detecting LLM-assisted writing in scientific communication: Are we there yet?
- PBSCR: The Piano Bootleg Score Composer Recognition Dataset
- Online Algorithm for Node Feature Forecasting in Temporal Graphs
- Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction
- Performance Insights-based AI-driven Football Transfer Fee Prediction
- Accelerated Cloud for Artificial Intelligence (ACAI)
- HawkEye: Advancing Robust Regression with Bounded, Smooth, and Insensitive Loss Function
- Graph Fairness Learning under Distribution Shifts
- A Literature Review on Fetus Brain Motion Correction in MRI
- All-optical complex field imaging using diffractive processors
- IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting
- Leveraging Nested MLMC for Sequential Neural Posterior Estimation with Intractable Likelihoods
- Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach
- MolPLA: A Molecular Pretraining Framework for Learning Cores, R-Groups and their Linker Joints
- Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning
- One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training
- SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond the Memory Budget
- AI Oversight and Human Mistakes: Evidence from Centre Court
- MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
- Detecting Racist Text in Bengali: An Ensemble Deep Learning Framework
- MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models
- ShaRP: Explaining Rankings and Preferences with Shapley Values
- Generative AI-based closed-loop fMRI system
- MESA: Matching Everything by Segmenting Anything
- Engineering A Large Language Model From Scratch
- Towards Generating Informative Textual Description for Neurons in Language Models
- Widely Linear Matched Filter: A Lynchpin towards the Interpretability of Complex-valued CNNs
- Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models
- Optimal-Landmark-Guided Image Blending for Face Morphing Attacks
- SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing
- OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering
- Prospects for inconsistency detection using large language models and sheaves
- LF Tracy: A Unified Single-Pipeline Approach for Salient Object Detection in Light Field Cameras
- Multivariate Beta Mixture Model: Probabilistic Clustering With Flexible Cluster Shapes
- Multi-granularity Correspondence Learning from Long-term Noisy Videos
- Towards Precise 3D Human Pose Estimation with Multi-Perspective Spatial-Temporal Relational Transformers
- EdgeOL: Efficient in-situ Online Learning on Edge Devices
- Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models
- Characterization of Magnetic Labyrinthine Structures Through Junctions and Terminals Detection Using Template Matching and CNN
- Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks
- Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection
- Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification
- The Detection and Understanding of Fictional Discourse
- T3: Transparent Tracking & Triggering for Fine-grained Overlap of Compute & Collectives
- AutoIE: An Automated Framework for Information Extraction from Scientific Literature
- Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models
- Fast Dual-Regularized Autoencoder for Sparse Biological Data
- VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality
- Generalization of LiNGAM that allows confounding
- History-Aware Conversational Dense Retrieval
- OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer
- Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo
- Rademacher Complexity of Neural ODEs via Chen-Fliess Series
- Using Motion Forecasting for Behavior-Based Virtual Reality (VR) Authentication
- Incoherent Probability Judgments in Large Language Models
- Speeding up and reducing memory usage for scientific machine learning via mixed precision
- TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese
- Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs
- The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration
- I came, I saw, I certified: some perspectives on the safety assurance of cyber-physical systems