Papers
Tue 20 Aug 2024
295 papers
- Beyond Labels: Aligning Large Language Models with Human-like ReasoningLLM reasoning → Reasoning benchmarks and evaluation +1
- Open-FinLLMs: Open Multimodal Large Language Models for Financial ApplicationsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Compress Guidance in Conditional Diffusion SamplingDiffusion models → Diffusion foundations and sampling
- Hide Your Malicious Goal Into Benign Narratives: Jailbreak Large Language Models through Carrier ArticlesLLM safety and security → Jailbreaking
- Accelerating Goal-Conditioned RL Algorithms and ResearchDeep reinforcement learning methods → Deep RL algorithms and representations
- FLAME: Learning to Navigate with Multimodal LLM in Urban EnvironmentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot HandsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Reconciling Methodological Paradigms: Employing Large Language Models as Novice Qualitative Research Assistants in Talent Management ResearchRetrieval-augmented generation → RAG pipeline design and evaluation
- Athena: Safe Autonomous Agents with Verbal Contrastive LearningLLM agents and tool use → Agent threats, guardrails and governance
- Security Attacks on LLM-based Code Completion ToolsLLM safety and security → Jailbreaking
- MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further TuningDiffusion models → Diffusion foundations and sampling
- Denoising Plane Wave Ultrasound Images Using Diffusion Probabilistic ModelsDiffusion models → Medical imaging and segmentation
- Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion ModelingDiffusion models → Flow matching, time series and science
- HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- The Evolution of Reinforcement Learning in Quantitative Finance: A SurveyDeep reinforcement learning methods → Adversarial robustness and RL in finance
- CHECKWHY: Causal Fact Verification via Argument StructureLLM reasoning → Reasoning benchmarks and evaluation
- Enhancing End-to-End Autonomous Driving Systems Through Synchronized Human Behavior DataEnd-to-end autonomous driving → Cooperative and V2X driving
- A Gray-box Attack against Latent Diffusion Model-based Image Editing by Posterior CollapseDiffusion models → Robustness, privacy and adversarial aspects
- ViLReF: An Expert Knowledge Enabled Vision-Language Retinal Foundation ModelMultimodal LLMs / vision-language models → Medical vision-language models
- Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- MambaDS: Near-Surface Meteorological Field Downscaling with Topography Constrained Selective State Space ModelingState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- Perception-guided Jailbreak against Text-to-Image ModelsLLM safety and security → Vision-language and text-to-image safety
- Aligning Object Detector Bounding Boxes with Human PreferenceLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Benchmarking Large Language Models for Math Reasoning TasksLLM reasoning → Mathematical reasoning
- Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in?LLM reasoning → Reasoning benchmarks and evaluation
- MEGen: Generative Backdoor into Large Language Models via Model EditingLLM safety and security → Backdoor and data poisoning attacks
- Offline Model-Based Reinforcement Learning with Anti-ExplorationOffline RL and imitation learning from data → Offline RL algorithms
- Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring TechniqueLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- AnyGraph: Graph Foundation Model in the WildMixture-of-experts → MoE for time series and graphs
- TDS-CLIP: Temporal Difference Side Network for Efficient VideoAction RecognitionMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language ModelsLLM safety and security → Machine unlearning
- HMoE: Heterogeneous Mixture of Experts for Language ModelingMixture-of-experts → MoE large language models
- Alignment-free Raw Video DemoireingState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Probing the Safety Response Boundary of Large Language Models via Unsafe Decoding Path GenerationLLM safety and security → Jailbreaking
- Minor SFT loss for LLM fine-tune to increase performance and reduce model deviationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree SearchSynthetic data and self-improvement for LLMs → Self-play RL for reasoning
- TextMastero: Mastering High-Quality Scene Text Editing in Diverse Languages and StylesDiffusion models → Image generation, text-to-image and editing
- Hierarchical Attention Diffusion Networks with Object Priors for Video Change DetectionDiffusion models → Inverse problems and image restoration
- MUSE: Mamba is Efficient Multi-scale Learner for Text-video RetrievalState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Prompt-Agnostic Adversarial Perturbation for Customized Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Constrained Behavior Cloning for Robotic LearningOffline RL and imitation learning from data → Imitation learning methods
- Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning BenchmarksOffline RL and imitation learning from data → Offline RL algorithms
- Diff-PCC: Diffusion-based Neural Compression for 3D Point CloudsDiffusion models → 3D, point cloud and scene generation
- FAGStyle: Feature Augmentation on Geodesic Surface for Zero-shot Text-guided Diffusion Image Style TransferDiffusion models → Image generation, text-to-image and editing
- Decision MetaMamba: Enhancing Selective SSM in Offline RL with Heterogeneous Sequence MixingState-space sequence models (S4, Mamba) → Core SSM architectures for language +1
- QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Adaptive Knowledge Distillation for Classification of Hand Images using Explainable Vision TransformersKnowledge distillation → Detection and dense prediction distillation
- Generative Diffusion Models for High Dimensional Channel EstimationDiffusion models → Diffusion for compression and wireless
- QUITO-X: A New Perspective on Context Compression from the Information Bottleneck TheoryEfficient LLM inference and serving → Prompt and context compression
- How Well Do Large Language Models Serve as End-to-End Secure Code Agents for Python?LLM agents and tool use → Agent threats, guardrails and governance
- MambaEVT: Event Stream based Visual Object Tracking using State Space ModelState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-HailingDeep reinforcement learning methods → RL for energy, networks and operations
- Comparison of Kinematics and Kinetics Between OpenCap and a Marker-Based Motion Capture System in Cycling
- Extracting Signal out of Chaos: Advancements on MAGI for Bayesian Analysis of Dynamical Systems
- Automating Intervention Discovery from Scientific Literature: A Progressive Ontology Prompting and Dual-LLM Framework
- Accelerometer-Based Multivariate Time-Series Dataset for Calf Behavior Classification
- NeR-VCP: A Video Content Protection Method Based on Implicit Neural Representation
- Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity
- An Information-Theoretic Approach to Generalization Theory
- Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks
- Convergence of Unadjusted Langevin in High Dimensions: Delocalization of Bias
- Fredholm Integral Equations Neural Operator (FIE-NO) for Data-Driven Boundary Value Problems
- Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors
- From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis
- The Dilemma of Uncertainty Estimation for General Purpose AI in the EU AI Act
- Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data
- Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
- CooPre: Cooperative Pretraining for V2X Cooperative Perception
- Asymmetric Graph Error Control with Low Complexity in Causal Bandits
- A Little Confidence Goes a Long Way
- Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification
- Unified Deep Learning Model for Global Prediction of Aboveground Biomass, Canopy Height and Cover from High-Resolution, Multi-Sensor Satellite Imagery
- OCTCube-M: A 3D multimodal optical coherence tomography foundation model for retinal and systemic diseases with cross-cohort and cross-device validation
- On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes
- CoDi: Conversational Distillation for Grounded Question Answering
- Revisiting Min-Max Optimization Problem in Adversarial Training
- Approximation of the Proximal Operator of the ℓ_∞ Norm Using a Neural Network
- A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation
- PooDLe: Pooled and dense self-supervised learning from naturalistic videos
- Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVs
- DSP-MLIR: A MLIR Dialect for Digital Signal Processing
- Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits
- Want to train KANS at scale? Now UKAN!
- Automated Prompt Engineering for Cost-Effective Code Generation Using Evolutionary Algorithm
- Robust Long-Range Perception Against Sensor Misalignment in Autonomous Vehicles
- Active Learning of Molecular Data for Task-Specific Objectives
- Emotional RAG LLMs: Reading Comprehension for the Open Internet
- Optimization of Multi-Agent Flying Sidekick Traveling Salesman Problem over Road Networks
- Sequential Resource Trading Using Comparison-Based Gradient Estimation
- CRACKS: Crowdsourcing Resources for Analysis and Categorization of Key Subsurface faults
- A Full DAG Score-Based Algorithm for Learning Causal Bayesian Networks with Latent Confounders
- Combining Objective and Subjective Perspectives for Political News Understanding
- SubgoalXL: Subgoal-based Expert Learning for Theorem Proving
- The Ensemble Epanechnikov Mixture Filter
- Statistical Challenges with Dataset Construction: Why You Will Never Have Enough Images
- An Interpretable Deep Learning Approach for Morphological Script Type Analysis
- Swim till You Sink: Computing the Limit of a Game
- Total Uncertainty Quantification in Inverse PDE Solutions Obtained with Reduced-Order Deep Learning Surrogate Models
All 295
- ISLES'24 -- A Real-World Longitudinal Multimodal Stroke Dataset
- Target-Oriented Object Grasping via Multimodal Human Guidance
- MS3D: A RG Flow-Based Regularization for GAN Training with Limited Data
- Public Health in Disaster: Emotional Health and Life Incidents Extraction during Hurricane Harvey
- Binocular Model: A deep learning solution for online melt pool temperature analysis using dual-wavelength Imaging Pyrometry
- DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation
- Mistral-SPLADE: LLMs for better Learned Sparse Retrieval
- Experimentation, deployment and monitoring Machine Learning models: Approaches for applying MLOps
- ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks
- GS-CPR: Efficient Camera Pose Refinement via 3D Gaussian Splatting
- Multi-level Monte-Carlo Gradient Methods for Stochastic Optimization with Biased Oracles
- What can Large Language Models Capture about Code Functional Equivalence?
- Prompt-Guided Image-Adaptive Neural Implicit Lookup Tables for Interpretable Image Enhancement
- Near, far: Patch-ordering enhances vision foundation models' scene understanding
- Revisiting VerilogEval: A Year of Improvements in Large-Language Models for Hardware Code Generation
- Inside the Black Box: Detecting Data Leakage in Pre-trained Language Encoders
- GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs
- Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
- Atmospheric Transport Modeling of CO2 with Neural Networks
- OpenScan: A Benchmark for Generalized Open-Vocabulary 3D Scene Understanding
- Scaling Law with Learning Rate Annealing
- An Overlooked Role of Context-Sensitive Dendrites
- Multiwinner Temporal Voting with Aversion to Change
- SenPa-MAE: Sensor Parameter Aware Masked Autoencoder for Multi-Satellite Self-Supervised Pretraining
- Audio Match Cutting: Finding and Creating Matching Audio Transitions in Movies and Videos
- Disentangling segmental and prosodic factors to non-native speech comprehensibility
- Approximation Rates for Shallow ReLUk Neural Networks on Sobolev Spaces via the Radon Transform
- CTP-LLM: Clinical Trial Phase Transition Prediction Using Large Language Models
- Facial Demorphing via Identity Preserving Image Decomposition
- Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models
- Hybrid Recurrent Models Support Emergent Descriptions for Hierarchical Planning and Control
- ISLES'24: Final Infarct Prediction with Multimodal Imaging and Clinical Data. Where Do We Stand?
- NLP for The Greek Language: A Longer Survey
- Multichannel Attention Networks with Ensembled Transfer Learning to Recognize Bangla Handwritten Charecter
- Wave-Mask/Mix: Exploring Wavelet-Based Augmentations for Time Series Forecasting
- GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization
- Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models
- Large Language Model Driven Recommendation
- SysBench: Can Large Language Models Follow System Messages?
- Robust Regression with Ensembles Communicating over Noisy Channels
- A Closer Look at Data Augmentation Strategies for Finetuning-Based Low/Few-Shot Object Detection
- Conformalized Interval Arithmetic with Symmetric Calibration
- Large Point-to-Gaussian Model for Image-to-3D Generation
- SDI-Net: Toward Sufficient Dual-View Interaction for Low-light Stereo Image Enhancement
- LBC: Language-Based-Classifier for Out-Of-Variable Generalization
- MTFinEval:A Multi-domain Chinese Financial Benchmark with Eurypalynous questions
- Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations
- CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network
- To Code, or Not To Code? Exploring Impact of Code in Pre-training
- ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining
- The impact of labeling automotive AI as "trustworthy" or "reliable" on user evaluation and technology acceptance
- BEYOND DIALOGUE: A Profile-Dialogue Alignment Framework Towards General Role-Playing Language Model
- Soda-Eval: Open-Domain Dialogue Evaluation in the age of LLMs
- Towards Efficient Formal Verification of Spiking Neural Network
- Analytical and Empirical Study of Herding Effects in Recommendation Systems
- On Learning Action Costs from Input Plans
- Low-Quality Image Detection by Hierarchical VAE
- Dynamic Analysis and Adaptive Discriminator for Fake News Detection
- Open 3D World in Autonomous Driving
- Trajectory Imputation in Multi-Agent Sports with Derivative-Accumulating Self-Ensemble
- More Options for Prelabor Rupture of Membranes, A Bayesian Analysis
- V-RoAst: Visual Road Assessment. Can VLM be a Road Safety Assessor Using the iRAP Standard?
- Radio U-Net: a convolutional neural network to detect diffuse radio sources in galaxy clusters and beyond
- Multi-agent Multi-armed Bandits with Stochastic Sharable Arm Capacities
- Feature Selection from Differentially Private Correlations
- Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio?
- Multilevel CNNs for Parametric PDEs based on Adaptive Finite Elements
- ZebraPose: Zebra Detection and Pose Estimation using only Synthetic Data
- CO2Wounds-V2: Extended Chronic Wounds Dataset From Leprosy Patients
- Trustworthy Compression? Impact of AI-based Codecs on Biometrics for Law Enforcement
- Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecasting
- Constructing a High Temporal Resolution Global Lakes Dataset via Swin-Unet with Applications to Area Prediction
- GS-KGC: A Generative Subgraph-based Framework for Knowledge Graph Completion with Large Language Models
- Learning Randomized Algorithms with Transformers
- Deep Learning-based Classification of Dementia using Image Representation of Subcortical Signals
- ColBERT Retrieval and Ensemble Response Scoring for Language Model Question Answering
- DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation
- MPL: Lifting 3D Human Pose from Multi-view 2D Poses
- Inverse Deep Learning Ray Tracing for Heliostat Surface Prediction
- Universal Novelty Detection Through Adaptive Contrastive Learning
- Adversarial Attack for Explanation Robustness of Rationalization Models
- Tapping in a Remote Vehicle's onboard LLM to Complement the Ego Vehicle's Field-of-View
- Self-supervised Learning of Hybrid Part-aware 3D Representations of 2D Gaussians and Superquadrics
- Understanding the Skills Gap between Higher Education and Industry in the UK in Artificial Intelligence Sector
- Lightweight Modular Parameter-Efficient Tuning for Open-Vocabulary Object Detection
- Just a Hint: Point-Supervised Camouflaged Object Detection
- Generative AI in Industrial Machine Vision -- A Review
- Flexora: Flexible Low Rank Adaptation for Large Language Models
- kNN Retrieval for Simple and Effective Zero-Shot Multi-speaker Text-to-Speech
- Detection of Intracranial Hemorrhage for Trauma Patients
- Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model
- Sparse Regression for Discovery of Constitutive Models from Oscillatory Shear Measurements
- SAM-COD: SAM-guided Unified Framework for Weakly-Supervised Camouflaged Object Detection
- Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation
- Security Assessment of Hierarchical Federated Deep Learning
- Resource-Efficient Personal Large Language Models Fine-Tuning with Collaborative Edge Computing
- TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks
- Classification of Endoscopy and Video Capsule Images using CNN-Transformer Model
- Towards Efficient Large Language Models for Scientific Text: A Review
- Quantum Artificial Intelligence: A Brief Survey
- Crafting Tomorrow's Headlines: Neural News Generation and Detection in English, Turkish, Hungarian, and Persian
- Towards Foundation Models for the Industrial Forecasting of Chemical Kinetics
- CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?
- Accelerated training of deep learning surrogate models for surface displacement and flow, with application to MCMC-based history matching of CO2 storage operations
- Fine-Tuning a Local LLaMA-3 Large Language Model for Automated Privacy-Preserving Physician Letter Generation in Radiation Oncology
- Investigating Context Effects in Similarity Judgements in Large Language Models
- Coarse-to-Fine Detection of Multiple Seams for Robotic Welding
- Variable Assignment Invariant Neural Networks for Learning Logic Programs
- Large Language Models for Multimodal Deformable Image Registration
- MsMemoryGAN: A Multi-scale Memory GAN for Palm-vein Adversarial Purification
- Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models
- Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches
- Genesis: Towards the Automation of Systems Biology Research
- Rejection in Abstract Argumentation: Harder Than Acceptance?
- Towards Rehearsal-Free Multilingual ASR: A LoRA-based Case Study on Whisper
- Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning
- Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization
- A Noncontact Technique for Wave Measurement Based on Thermal Stereography and Deep Learning
- Tensor tree learns hidden relational structures in data to construct generative models
- End-to-end learned Lossy Dynamic Point Cloud Attribute Compression
- Federated Clustering: An Unsupervised Cluster-Wise Training for Decentralized Data Distributions
- REInstruct: Building Instruction Data from Unlabeled Corpus
- ETGuard: Malicious Encrypted Traffic Detection in Blockchain-based Power Grid Systems
- deepmriprep: Voxel-based Morphometry (VBM) Preprocessing via Deep Neural Networks
- UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image Enhancement
- Vocabulary-Free 3D Instance Segmentation with Vision and Language Assistant
- Inferring Underwater Topography with FINN
- Privacy-preserving Universal Adversarial Defense for Black-box Models
- Beneath the Surface of Consistency: Exploring Cross-lingual Knowledge Representation Sharing in LLMs
- CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation
- A Review of Human-Object Interaction Detection
- UWF-RI2FA: Generating Multi-frame Ultrawide-field Fluorescein Angiography from Ultrawide-field Retinal Imaging Improves Diabetic Retinopathy Stratification
- Interactive Counterfactual Generation for Univariate Time Series
- LLM-Barber: Block-Aware Rebuilder for Sparsity Mask in One-Shot for Large Language Models
- Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series
- Rethinking Video Segmentation with Masked Video Consistency: Did the Model Learn as Intended?
- WRIM-Net: Wide-Ranging Information Mining Network for Visible-Infrared Person Re-Identification
- OMEGA: Efficient Occlusion-Aware Navigation for Air-Ground Robot in Dynamic Environments via State Space Model
- A toolbox for calculating objective image properties in aesthetics research
- Enhancing Robustness in Large Language Models: Prompting for Mitigating the Impact of Irrelevant Information
- Generalizable Facial Expression Recognition
- On an L2 norm for stationary ARMA processes
- PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis
- BTBR: A Bayesian-Theory-Driven Probabilistic-Fuzzy Framework for Implicit Bias Removal in Large Language Models
- MUSES: 3D-Controllable Image Generation via Multi-Modal Agent Collaboration
- Multilingual Non-Factoid Question Answering with Answer Paragraph Selection
- MV-MOS: Multi-View Feature Fusion for 3D Moving Object Segmentation
- Breast tumor classification based on self-supervised contrastive learning from ultrasound videos
- Vision Calorimeter for Anti-neutron Reconstruction: A Baseline
- An Efficient Sign Language Translation Using Spatial Configuration and Motion Dynamics with LLMs
- Hologram Reasoning for Solving Algebra Problems with Geometry Diagrams
- DEGAS: Detailed Expressions on Full-Body Gaussian Avatars
- Multi-view Hand Reconstruction with a Point-Embedded Transformer
- Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter
- A Tutorial on Explainable Image Classification for Dementia Stages Using Convolutional Neural Network and Gradient-weighted Class Activation Mapping
- Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model
- Overcoming Growth-Induced Forgetting in Task-Agnostic Continual Learning
- The Stable Model Semantics for Higher-Order Logic Programming
- Kalib: Easy Hand-Eye Calibration with Reference Point Tracking
- Speech Representation Learning Revisited: The Necessity of Separate Learnable Parameters and Robust Data Augmentation
- GACL: Graph Attention Collaborative Learning for Temporal QoS Prediction
- AI-Based IVR
- Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution
- The Instance-centric Transformer for the RVOS Track of LSVOS Challenge: 3rd Place Solution
- Training Matting Models without Alpha Labels
- Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resections with Pringle Maneuver
- Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation
- Synergistic Approach for Simultaneous Optimization of Monolingual, Cross-lingual, and Multilingual Information Retrieval
- NutrifyAI: An AI-Powered System for Real-Time Food Detection, Nutritional Analysis, and Personalized Meal Recommendations
- NoMatterXAI: Generating "No Matter What" Alterfactual Examples for Explaining Black-Box Text Classification Models
- EdgeNAT: Transformer for Efficient Edge Detection
- XCB: an effective contextual biasing approach to bias cross-lingual phrases in speech recognition
- BAUST Lipi: A BdSL Dataset with Deep Learning Based Bangla Sign Language Recognition
- Data Augmentation Integrating Dialogue Flow and Style to Adapt Spoken Dialogue Systems to Low-Resource User Groups
- Approximate Estimation of High-dimension Execution Skill for Dynamic Agents in Continuous Domains
- Single-cell Curriculum Learning-based Deep Graph Embedding Clustering
- Asymptotic Classification Error for Heavy-Tailed Renewal Processes
- SZTU-CMU at MER2024: Improving Emotion-LLaMA with Conv-Attention for Multimodal Emotion Recognition
- ProgramAlly: Creating Custom Visual Access Programs via Multi-Modal End-User Programming
- Cervical Cancer Detection Using Multi-Branch Deep Learning Model
- GPT-based Textile Pilling Classification Using 3D Point Cloud Data
- Clustering by Mining Density Distributions and Splitting Manifold Structure
- Is the Lecture Engaging for Learning? Lecture Voice Sentiment Analysis for Knowledge Graph-Supported Intelligent Lecturing Assistant (ILA) System
- Achieving the Tightest Relaxation of Sigmoids for Formal Verification
- Analysis of Plan-based Retrieval for Grounded Text Generation
- Event Stream-based Sign Language Translation: A High-Definition Benchmark Dataset and A Novel Baseline
- PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
- Evaluation Framework for AI-driven Molecular Design of Multi-target Drugs: Brain Diseases as a Case Study
- LeCov: Multi-level Testing Criteria for Large Language Models
- Enhancing One-shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism
- LSVOS Challenge 3rd Place Report: SAM2 and Cutie based VOS
- Tracing Privacy Leakage of Language Models to Training Data via Adjusted Influence Functions
- Learning Multimodal Latent Space with EBM Prior and MCMC Inference
- Adversarial training of Keyword Spotting to Minimize TTS Data Overfitting
- Transfer Operator Learning with Fusion Frame