Papers
Fri 17 Jan 2025
190 papers
- GaussMark: A Practical Approach for Structural Watermarking of Language ModelsLLM safety and security → Watermarking generated content and models
- Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- When language and vision meet road safety: leveraging multimodal large language models for video-based traffic accident analysisMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Addressing Finite-Horizon MDPs via Low-Rank Tensor Value ApproximationDeep reinforcement learning methods → RL theory and sample complexity
- The Intrinsic Dimension of Prompts in Internal Representations of Large Language ModelsMechanistic interpretability → Steering and probing for LLM safety
- Diffusion Models in Recommendation Systems: A SurveyDiffusion models → Diffusion recommenders
- An Innovative Data-Driven and Adaptive Reinforcement Learning Approach for Context-Aware Prescriptive Process MonitoringDeep reinforcement learning methods → RL for energy, networks and operations
- 4bit-Quantization in Vector-Embedding for RAGRetrieval-augmented generation → RAG pipeline design and evaluation
- A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- FaceXBench: Evaluating Multimodal LLMs on Face UnderstandingMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- DexForce: Extracting Force-informed Actions from Kinesthetic Demonstrations for Dexterous ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education SystemsLLM agents and tool use → Educational agents and math problem solving
- DiffStereo: High-Frequency Aware Diffusion Model for Stereo Image RestorationDiffusion models → Inverse problems and image restoration
- HiMix: Reducing Computational Complexity in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Temporal Causal Reasoning with (Non-Recursive) Structural Equation ModelsLLM reasoning → Causal reasoning in LLMs
- Enhancing UAV Path Planning Efficiency Through Accelerated LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context ScenarioLLM agents and tool use → Tool learning and function calling
- PaSa: An LLM Agent for Comprehensive Academic Paper SearchLLM agents and tool use → Web, search, and research agents
- GAWM: Global-Aware World Model for Multi-Agent Reinforcement LearningWorld models → Latent dynamics models and model-based RL
- DiffVSR: Revealing an Effective Recipe for Taming Robust Video Super-Resolution Against Complex DegradationsDiffusion models → Inverse problems and image restoration
- LLM Reasoner and Automated Planner: A new NPC approachLLM reasoning → Reasoning for agents, planning and code
- Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in RoboticsWorld models → Latent dynamics models and model-based RL
- SpatialCoT: Advancing Spatial Reasoning through Coordinate Alignment and Chain-of-Thought for Embodied Task PlanningLLM reasoning → Spatial and embodied reasoning
- CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality AssessmentMultimodal LLMs / vision-language models → Image editing and quality assessment
- A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant FrameworksLLM reasoning → Test-time compute and efficient thinking
- OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal FinetuningMixture-of-experts → Mixture of LoRA experts
- MSTS: A Multimodal Safety Test Suite for Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- AirRAG: Autonomous Strategic Planning and Reasoning Steer Retrieval Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context LearningDiffusion models → Audio, speech and music
- DiffuEraser: A Diffusion Model for Video InpaintingDiffusion models → 3D, point cloud and scene generation
- Enhancing Crash Frequency Modeling Based on Augmented Multi-Type Data by Hybrid VAE-Diffusion-Based Generative Neural NetworksDiffusion models → Diffusion and flow policies for robotics
- Mitigating Hallucinations on Object Attributes using Multiview Images and Negative InstructionsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language ModelsLLM reasoning → Hallucination detection and mitigation
- Agent-as-Judge for Factual Summarization of Long NarrativesLLM agents and tool use → Web, search, and research agents
- FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Passage Segmentation of Documents for Extractive Question AnsweringRetrieval-augmented generation → Multimodal RAG
- Physics-informed DeepCT: Sinogram Wavelet Decomposition Meets Masked DiffusionDiffusion models → Medical imaging and segmentation
- Interpretable Steering of Large Language Models with Feature Guided Activation AdditionsMechanistic interpretability → Activation steering methods
- Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMsRetrieval-augmented generation → Conversational and speech RAG
- SLIM: Sim-to-Real Legged Instructive Manipulation via Long-Horizon Visuomotor LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Evolving Deeper LLM ThinkingLLM reasoning → Test-time compute and efficient thinking
- A Contradiction-Centered Model for the Emergence of Swarm Intelligence
- An Integrated Platform for Studying Learning with Intelligent Tutoring Systems: CTAT+TutorShop
- LegalScore: Development of a Benchmark for Evaluating AI Models in Legal Career Exams in Brazil
- Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity
- Prompt-Based Monte Carlo Tree Search for Mitigating Hallucinations in Large Models
- Control-ITRA: Controlling the Behavior of a Driving Model
- Differentiable Adversarial Attacks for Marked Temporal Point Processes
- High Resolution Tree Height Mapping of the Amazon Forest using Planet NICFI Images and LiDAR-Informed U-Net Model
- Accurate and thermodynamically consistent hydrogen equation of state for planetary modeling with flow matching
- ColorGrid: A Multi-Agent Non-Stationary Environment for Goal Inference and Assistance
- Adapting Large Language Models for Character-based Augmentative and Alternative Communication
- AI Technicians: Developing Rapid Occupational Training Methods for a Competitive AI Workforce
- AI Toolkit: Libraries and Essays for Exploring the Technology and Ethics of AI
- On the Benefits of Instance Decomposition in Video Prediction Models
- Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
- HyperCam: Low-Power Onboard Computer Vision for IoT Cameras
- Scalable Machine Learning Training Infrastructure for Online Ads Recommendation and Auction Scoring Modeling at Google
- Improved IR-based Bug Localization with Intelligent Relevance Feedback
- DPERC: Direct Parameter Estimation for Mixed Data
- Universality of Benign Overfitting in Binary Linear Classification
- A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression
- Solving Sparse Finite Element Problems on Neuromorphic Hardware
- DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids
- Real-Time Bus Departure Prediction Using Neural Networks for Smart IoT Public Bus Transit
- Extension of Symmetrized Neural Network Operators with Fractional and Mixed Activation Functions
- ACCEPT: Diagnostic Forecasting of Battery Degradation Through Contrastive Learning
- Theme-Explanation Structure for Table Summarization using Large Language Models: A Case Study on Korean Tabular Data
- Enhancing the reliability of machine learning for gravitational wave parameter estimation with attention-based models
- Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and Claude
- ArxEval: Evaluating Retrieval and Generation in Language Models for Scientific Literature
- Simulation of Random LR Fuzzy Intervals
- Learning Latent Hardening (LLH): Enhancing Deep Learning with Domain Knowledge for Material Inverse Problems
- Zero-Shot Monocular Scene Flow Estimation in the Wild
- Credit Risk Identification in Supply Chains Using Generative Adversarial Networks
- ColNet: Collaborative Optimization in Decentralized Federated Multi-task Learning Systems
- 3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results
- Hybrid Deep Learning Model for epileptic seizure classification by using 1D-CNN with multi-head attention mechanism
- Principled model selection for stochastic dynamics
- BoK: Introducing Bag-of-Keywords Loss for Interpretable Dialogue Response Generation
- Large language models for automated scholarly paper review: A survey
- New Fashion Products Performance Forecasting: A Survey on Evolutions, Models and Emerging Trends
- Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models
- Towards Human-Guided, Data-Centric LLM Co-Pilots
- Natural Language Processing of Privacy Policies: A Survey
- Know Your Mistakes: Towards Preventing Overreliance on Task-Oriented Conversational AI Through Accountability Modeling
- An Ontology for Social Determinants of Education (SDoEd) based on Human-AI Collaborative Approach
- Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy
- GauSTAR: Gaussian Surface Tracking and Reconstruction
- Computational Protein Science in the Era of Large Language Models (LLMs)
- SEANN: A Domain-Informed Neural Network for Epidemiological Insights
- MutualForce: Mutual-Aware Enhancement for 4D Radar-LiDAR 3D Object Detection
- Logarithmic Regret for Nonlinear Control
- DADA: Dual Averaging with Distance Adaptation
- Unsupervised Rhythm and Voice Conversion of Dysarthric to Healthy Speech for ASR
- Over-the-Air Multi-Sensor Inference with Neural Networks Using Memristor-Based Analog Computing
- Random-Key Algorithms for Optimizing Integrated Operating Room Scheduling
- Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide
- SpaceTime: Causal Discovery from Non-Stationary Time Series
- Counterfactual Explanations for k-means and Gaussian Clustering
All 190
- Amortized Bayesian Mixture Models
- Synthesising Activity Participations and Scheduling with Deep Generative Machine Learning
- Robust Egoistic Rigid Body Localization
- The Relevance of AWS Chronos: An Evaluation of Standard Methods for Time Series Forecasting with Limited Tuning
- Temporal Graph MLP Mixer for Spatio-Temporal Forecasting
- Disharmony: Forensics using Reverse Lighting Harmonization
- Hypercone Assisted Contour Generation for Out-of-Distribution Detection
- Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
- Adaptive Clustering for Efficient Phenotype Segmentation of UAV Hyperspectral Data
- CSHNet: A Novel Information Asymmetric Image Translation Method
- Contributions to the Decision Theoretic Foundations of Machine Learning and Robust Statistics under Weakly Structured Information
- Surrogate-based multiscale analysis of experiments on thermoplastic composites under off-axis loading
- Good things come in small packages: Should we build AI clusters with Lite-GPUs?
- Generative Artificial Intelligence: Implications for Biomedical and Health Professions Education
- Improved learning rates in multi-unit uniform price auctions
- A Simple but Effective Closed-form Solution for Extreme Multi-label Learning
- Multi-stage Training of Bilingual Islamic LLM for Neural Passage Retrieval
- Mean and Variance Estimation Complexity in Arbitrary Distributions via Wasserstein Minimization
- Convex Physics Informed Neural Networks for the Monge-Amp`ere Optimal Transport Problem
- CSSDM Ontology to Enable Continuity of Care Data Interoperability
- Structure-guided Deep Multi-View Clustering
- Region-wise stacking ensembles for estimating brain-age using MRI
- Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of Things
- Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation
- A Vision-Language Framework for Multispectral Scene Representation Using Language-Grounded Features
- Conformal Prediction Sets with Improved Conditional Coverage using Trust Scores
- Visual Exploration of Stopword Probabilities in Topic Models
- Exploring the Impact of Generative Artificial Intelligence in Education: A Thematic Analysis
- ACE: Anatomically Consistent Embeddings in Composition and Decomposition
- Spatio-temporal Graph Learning on Adaptive Mined Key Frames for High-performance Multi-Object Tracking
- FECT: Classification of Breast Cancer Pathological Images Based on Fusion Features
- Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders
- Infrastructure for AI Agents
- BBPOS: BERT-based Part-of-Speech Tagging for Uzbek
- Universal Actions for Enhanced Embodied Foundation Models
- landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images
- How Do Programming Students Use Generative AI?
- Classifier Ensemble for Efficient Uncertainty Calibration of Deep Neural Networks for Image Classification
- A recursive Bayesian neural network for constitutive modeling of sands under monotonic and cyclic loading
- Two-level Solar Irradiance Clustering with Season Identification: A Comparative Analysis
- Leveraging Confident Image Regions for Source-Free Domain-Adaptive Object Detection
- Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural Networks
- Double descent in quantum kernel methods
- Robust Change Captioning in Remote Sensing: SECOND-CC Dataset and MModalCC Framework
- Author-Specific Linguistic Patterns Unveiled: A Deep Learning Study on Word Class Distributions
- FiLo++: Zero-/Few-Shot Anomaly Detection by Fused Fine-Grained Descriptions and Deformable Localization
- One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression
- Accelerating Large Language Models through Partially Linear Feed-Forward Network
- A Family of Controllable Momentum Coefficients for Forward-Backward Accelerated Algorithms
- Tracking student skills real-time through a continuous-variable dynamic Bayesian network
- PandaSkill - Player Performance and Skill Rating in Esports: Application to League of Legends
- Virtual Nodes Improve Long-term Traffic Prediction
- Spatiotemporal Prediction of Secondary Crashes by Rebalancing Dynamic and Static Data with Generative Adversarial Networks
- LWGANet: Addressing Spatial and Channel Redundancy in Remote Sensing Visual Tasks with Light-Weight Grouped Attention
- Robust density estimation over star-shaped density classes
- Automatic Speech Recognition for Sanskrit with Transfer Learning
- X-Dyna: Expressive Dynamic Human Image Animation
- Textoon: Generating Vivid 2D Cartoon Characters from Text Descriptions
- Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning
- Deep Learning for Early Alzheimer Disease Detection with MRI Scans
- Fast energy-aware OLSR routing in VANETs by means of a parallel evolutionary algorithm
- Multi-Modal Attention Networks for Enhanced Segmentation and Depth Estimation of Subsurface Defects in Pulse Thermography
- RichSpace: Enriching Text-to-Video Prompt Space via Text Embedding Interpolation
- Aneumo: A Large-Scale Comprehensive Synthetic Dataset of Aneurysm Hemodynamics
- GaussianAvatar-Editor: Photorealistic Animatable Gaussian Head Avatar Editor
- GVMGen: A General Video-to-Music Generation Model with Hierarchical Attentions
- Explainable artificial intelligence (XAI): from inherent explainability to large language models
- Discrete Prior-based Temporal-coherent Content Prediction for Blind Face Video Restoration
- A Survey on Multi-Turn Interaction Capabilities of Large Language Models
- AIRCHITECT v2: Learning the Hardware Accelerator Design Space through Unified Representations
- Sympathy over Polarization: A Computational Discourse Analysis of Social Media Posts about the July 2024 Trump Assassination Attempt
- MultiPruner: Balanced Structure Removal in Foundation Models
- AI Explainability for Power Electronics: From a Lipschitz Continuity Perspective
- Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation
- Client-Centric Federated Adaptive Optimization
- Indigenous Languages Spoken in Argentina: A Survey of NLP and Speech Resources
- A Multi-Scale Feature Extraction and Fusion Deep Learning Method for Classification of Wheat Diseases
- HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning
- Statistical Inference for Sequential Feature Selection after Domain Adaptation
- IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment
- ForestProtector: An IoT Architecture Integrating Machine Vision and Deep Reinforcement Learning for Efficient Wildfire Monitoring
- Study on a Fast Solver for Combined Field Integral Equations of 3D Conducting Bodies Based on Graph Neural Networks
- TalkingEyes: Pluralistic Speech-Driven 3D Eye Gaze Animation
- GenSC-6G: A Prototype Testbed for Integrated Generative AI, Quantum, and Semantic Communication
- Towards A Litmus Test for Common Sense
- SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules
- FoundationStereo: Zero-Shot Stereo Matching
- Sparse Binary Representation Learning for Knowledge Tracing
- Exploring the Implementation of AI in Early Onset Interviews to Help Mitigate Bias
- FLORA: Formal Language Model Enables Robust Training-free Zero-shot Object Referring Analysis