Papers
Fri 10 Jan 2025
221 papers
- Counterfactually Fair Reinforcement Learning via Sequential Data PreprocessingDeep reinforcement learning methods → RL for games and combinatorial optimization
- Multi-Agent Collaboration Mechanisms: A Survey of LLMsLLM agents and tool use → General LLM agent frameworks and benchmarks
- BioAgents: Democratizing Bioinformatics Analysis with Multi-Agent SystemsLLM agents and tool use → Medical and scientific domain agents
- MinMo: A Multimodal Large Language Model for Seamless Voice InteractionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMsLLM reasoning → Multimodal reasoning
- Model Alignment SearchLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- GenMol: A Drug Discovery Generalist with Discrete DiffusionDiffusion models → Flow matching, time series and science
- From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster trainingDiffusion models → Diffusion and flow policies for robotics
- xLSTM-SENet: xLSTM for Single-Channel Speech EnhancementState-space sequence models (S4, Mamba) → Speech and audio SSMs
- MS-Temba: Multi-Scale Temporal Mamba for Understanding Long Untrimmed VideosState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Vehicle-in-Virtual-Environment (VVE) Based Autonomous Driving Function Development and Evaluation Methodology for Vulnerable Road User SafetyEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Geometry and Optimization of Shallow Polynomial NetworksKnowledge distillation → General knowledge distillation methods
- Generate, Transduct, Adapt: Iterative Transduction with VLMsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Investigating the Impact of Observation Space Design Choices On Training Reinforcement Learning Solutions for Spacecraft ProblemsDeep reinforcement learning methods → RL for robot navigation and UAV control
- Scalable Vision Language Model Training via High Quality Data CurationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Valley2: Exploring Multimodal Models with Scalable Vision-Language DesignMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Text-to-Edit: Controllable End-to-End Video Ad Creation via Multimodal LLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- VideoRAG: Retrieval-Augmented Generation over Video CorpusRetrieval-augmented generation → Multimodal RAG
- Poetry in Pixels: Prompt Tuning for Poem Image Generation via Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- PersonaHOI: Effortlessly Improving Personalized Face with Human-Object Interaction GenerationDiffusion models → Image generation, text-to-image and editing
- Diffusion Models for Smarter UAVs: Decision-Making and ModelingDiffusion models → Diffusion and flow policies for robotics +1
- Real-Time Integrated Dispatching and Idle Fleet Steering with Deep Reinforcement Learning for A Meal Delivery PlatformDeep reinforcement learning methods → RL for games and combinatorial optimization
- Test-time Alignment of Diffusion Models without Reward Over-optimizationDiffusion models → Diffusion foundations and sampling +1
- Understanding Impact of Human Feedback via Influence FunctionsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- StarGen: A Spatiotemporal Autoregression Framework with Video Diffusion Model for Scalable and Controllable Scene GenerationDiffusion models → Video generation
- Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language ModelsLLM reasoning → Test-time compute and efficient thinking
- TB-Bench: Training and Testing Multi-Modal AI for Understanding Spatio-Temporal Traffic Behaviors from Dashcam Images/VideosMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Self-Evolving Critique Abilities in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking +1
- Multi-Step Reasoning in Korean and the Emergent MirageLLM reasoning → Reasoning benchmarks and evaluation
- From My View to Yours: Learning Egocentric Cues from Exocentric Video using Privileged Egocentric SupervisionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Multiagent Finetuning: Self Improvement with Diverse Reasoning ChainsLLM reasoning → Reasoning for agents, planning and code
- Overcoming Language Priors for Visual Question Answering Based on Knowledge DistillationKnowledge distillation → Multimodal distillation
- EXION: Exploiting Inter- and Intra-Iteration Output Sparsity for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Cascaded Self-Evaluation Augmented Training for Lightweight Multimodal LLMsLLM reasoning → Multimodal reasoning +1
- TAMER: A Test-Time Adaptive MoE-Driven Framework for EHR Representation LearningMixture-of-experts → Medical and biomedical MoE
- SpecWav-Attack: Leveraging Spectrogram Resizing and Wav2Vec 2.0 for Attacking Anonymized Speech
- A Capability Approach to AI Ethics
- A Frugal Model for Accurate Early Student Failure Prediction
- Low rank matrix completion and realization of graphs: results and problems
- Interpolation pour l'augmentation de donnees : Application `a la gestion des adventices de la canne a sucre a la Reunion
- Delay Neural Networks (DeNN) for exploiting temporal information in event-based datasets
- Do we actually understand the impact of renewables on electricity prices? A causal inference approach
- CodEv: An Automated Grading Framework Leveraging Large Language Models for Consistent and Constructive Feedback
- An Explainable Pipeline for Machine Learning with Functional Data
- Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks
- Impact of Data Breadth and Depth on Performance of Siamese Neural Network Model: Experiments with Three Keystroke Dynamic Datasets
- Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning
- Automated Heterogeneous Network learning with Non-Recursive Message Passing
- Learning-based Detection of GPS Spoofing Attack for Quadrotors
- Optimize Incompatible Parameters through Compatibility-aware Knowledge Integration
- Kolmogorov-Arnold networks for metal surface defect classification
- Using Pre-trained LLMs for Multivariate Time Series Forecasting
- Dynamics of Spontaneous Topic Changes in Next Token Prediction with Self-Attention
- Robustness in the Face of Partial Identifiability in Reward Learning
- AFRIDOC-MT: Document-level MT Corpus for African Languages
- Towards a Probabilistic Framework for Analyzing and Improving LLM-Enabled Software
- Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach
- Gender-Neutral Large Language Models for Medical Applications: Reducing Bias in PubMed Abstracts
- Mix-QViT: Mixed-Precision Vision Transformer Quantization Driven by Layer Importance and Quantization Sensitivity
- Ultrasound Image Synthesis Using Generative AI for Lung Ultrasound Detection
- Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages
- On The Statistical Complexity of Offline Decision-Making
- MEt3R: Measuring Multi-View Consistency in Generated Images
- Aggregating Low Rank Adapters in Federated Fine-tuning
- On Creating A Brain-To-Text Decoder
- TTS-Transducer: End-to-End Speech Synthesis with Neural Transducer
- Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing
- Towards Iris Presentation Attack Detection with Foundation Models
- Uncertainty Estimation for Path Loss and Radio Metric Models
- Tensorization of neural networks for improved privacy and interpretability
- LensNet: Enhancing Real-time Microlensing Event Discovery with Recurrent Neural Networks in the Korea Microlensing Telescope Network
- Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks
- Dafny as Verification-Aware Intermediate Language for Code Generation
- Visualizing Uncertainty in Image Guided Surgery a Review
- Aligning Brain Activity with Advanced Transformer Models: Exploring the Role of Punctuation in Semantic Processing
- Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain
- PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control
- Polarized Patterns of Language Toxicity and Sentiment of Debunking Posts on Social Media
- Underwater Image Enhancement using Generative Adversarial Networks: A Survey
- Large Language Models for Bioinformatics
- Multi-subject Open-set Personalization in Video Generation
- PEACE: Empowering Geologic Map Holistic Understanding with MLLMs
- VideoAuteur: Towards Long Narrative Video Generation
- Machine Learning Force-Field Approach for Itinerant Electron Magnets
- Meta-Learning for Physically-Constrained Neural System Identification
- Efficient Transition State Searches by Freezing String Method with Graph Neural Network Potentials
- PySpatial: A High-Speed Whole Slide Image Pathomics Toolkit
- Multilingual Performance of a Multimodal Artificial Intelligence System on Multisubject Physics Concept Inventories
- Emergent Symbol-like Number Variables in Artificial Neural Networks
- Supervision policies can shape long-term risk management in general-purpose AI models
- CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems
- Contextual ASR Error Handling with LLMs Augmentation for Goal-Oriented Conversational AI
- Merging Feed-Forward Sublayers for Compressed Transformers
- Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding
- Inferring Higher-Order Couplings with Neural Networks
- Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation
- From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis
- Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data
- Towards Developing Socially Compliant Automated Vehicles: Advances, Expert Insights, and A Conceptual Framework
All 221
- All AI Models are Wrong, but Some are Optimal
- Averaged Adam accelerates stochastic optimization in the training of deep neural network approximations for partial differential equation and optimal control problems
- Scale-up Unlearnable Examples Learning with High-Performance Computing
- Explaining k-Nearest Neighbors: Abductive and Counterfactual Explanations
- Explainable Federated Bayesian Causal Inference and Its Application in Advanced Manufacturing
- A monthly sub-national Harmonized Food Insecurity Dataset for comprehensive analysis and predictive modeling
- Distilling Calibration via Conformalized Credal Inference
- Personalized Language Model Learning on Text Data Without User Identifiers
- COMIX: Compositional Explanations using Prototypes
- Capability-Aware Shared Hypernetworks for Flexible Heterogeneous Multi-Robot Coordination
- Enhancing, Refining, and Fusing: Towards Robust Multi-Scale and Dense Ship Detection
- Benchmarking Rotary Position Embeddings for Automatic Speech Recognition
- MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets
- AI-powered virtual tissues from spatial proteomics for clinical diagnostics and biomedical discovery
- A Holistically Point-guided Text Framework for Weakly-Supervised Camouflaged Object Detection
- Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction
- Geometric-Based Nail Segmentation for Clinical Measurements
- How to Tune a Multilingual Encoder Model for Germanic Languages: A Study of PEFT, Full Fine-Tuning, and Language Adapters
- BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response
- Pose-independent 3D Anthropometry from Sparse Data
- CoNOAir: A Neural Operator for Forecasting Carbon Monoxide Evolution in Cities
- CamCtrl3D: Single-Image Scene Exploration with Precise 3D Camera Control
- SeMi: When Imbalanced Semi-Supervised Learning Meets Mining Hard Examples
- Learning to generate feasible graphs using graph grammars
- DeltaGNN: Graph Neural Network with Information Flow Control
- Self-Supervised Partial Cycle-Consistency for Multi-View Matching
- Minimizing Occlusion Effect on Multi-View Camera Perception in BEV with Multi-Sensor Fusion
- An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types
- Constraining constructions with WordNet: pros and cons for the semantic annotation of fillers in the Italian Constructicon
- Addressing speaker gender bias in large scale speech translation systems
- Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics Processing
- Deep Variational Sequential Monte Carlo for High-Dimensional Observations
- Hermit Kingdom Through the Lens of Multiple Perspectives: A Case Study of LLM Hallucination on North Korea
- A Brain Age Residual Biomarker (BARB): Leveraging MRI-Based Models to Detect Latent Health Conditions in U.S. Veterans
- Towards Early Prediction of Self-Supervised Speech Model Performance
- Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory
- Finnish SQuAD: A Simple Approach to Machine Translation of Span Annotations
- Effective faking of verbal deception detection with target-aligned adversarial attacks
- Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers
- Universal-2-TF: Robust All-Neural Text Formatting for ASR
- Reusable specimen-level inference in computational pathology
- Soft regression trees: a model variant and a decomposition training algorithm
- A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction
- Encoded Spatial Attribute in Multi-Tier Federated Learning
- Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2
- DiffuSETS: 12-lead ECG Generation Conditioned on Clinical Text Reports and Patient-Specific Information
- Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks
- Towards Backdoor Stealthiness in Model Parameter Space
- LLMs Reproduce Stereotypes of Sexual and Gender Minorities
- Navigating Tomorrow: Reliably Assessing Large Language Models Performance on Future Event Prediction
- The New Anticipatory Governance Culture for Innovation: Regulatory Foresight, Regulatory Experimentation and Regulatory Learning
- Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms
- Binary Event-Driven Spiking Transformer
- Discovery of sustainable energy materials via the machine-learned material space
- Text2Playlist: Generating Personalized Playlists from Text on Deezer
- Beyond Flat Text: Dual Self-inherited Guidance for Visual Text Generation
- Affordably Fine-tuned LLMs Provide Better Answers to Course-specific MCQs
- EDNet: Edge-Optimized Small Target Detection in UAV Imagery -- Faster Context Attention, Better Feature Fusion, and Hardware Acceleration
- Solving nonograms using Neural Networks
- TakuNet: an Energy-Efficient CNN for Real-Time Inference on Embedded UAV systems in Emergency Response Scenarios
- Collaborative Content Moderation in the Fediverse
- A Neighbor-based Approach to Pitch Ownership Models in Soccer
- Neural Network Verification is a Programming Language Challenge
- Language-Inspired Relation Transfer for Few-shot Class-Incremental Learning
- ConSim: Measuring Concept-Based Explanations' Effectiveness with Automated Simulatability
- MRI Patterns of the Hippocampus and Amygdala for Predicting Stages of Alzheimer's Progression: A Minimal Feature Machine Learning Framework
- Identity-aware Feature Decoupling Learning for Clothing-change Person Re-identification
- Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization
- "Cause" is Mechanistic Narrative within Scientific Domains: An Ordinary Language Philosophical Critique of "Causal Machine Learning"
- Orthogonal projection-based regularization for efficient model augmentation
- Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data
- UltraRay: Introducing Full-Path Ray Tracing in Physics-Based Ultrasound Simulation
- AI-Driven Diabetic Retinopathy Screening: Multicentric Validation of AIDRSS in India
- IndoNLP 2025: Shared Task on Real-Time Reverse Transliteration for Romanized Indo-Aryan languages
- AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks
- Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization
- MARS6: A Small and Robust Hierarchical-Codec Text-to-Speech Model
- Cryptanalysis of Cancelable Biometrics Vault
- UV-Attack: Physical-World Adversarial Attacks for Person Detection via Dynamic-NeRF-based UV Mapping
- StructSR: Refuse Spurious Details in Real-World Image Super-Resolution
- STHFL: Spatio-Temporal Heterogeneous Federated Learning
- rmlnomogram: An R package to construct an explainable nomogram for any machine learning algorithms
- Conditional Diffusion Model for Electrical Impedance Tomography
- Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products
- Deontic Temporal Logic for Formal Verification of AI Ethics
- Controlling Large Language Models Through Concept Activation Vectors
- Development and Comparison of Model-Based and Data-Driven Approaches for the Prediction of the Mechanical Properties of Lattice Structures
- Locality-aware Gaussian Compression for Fast and High-quality Rendering
- CognoSpeak: an automatic, remote assessment of early cognitive decline in real-world conversational speech
- Semantic Mapping in Indoor Embodied AI -- A Survey on Advances, Challenges, and Future Directions
- Bridging Dialects: Translating Standard Bangla to Regional Variants Using Neural Models
- Covariate Dependent Mixture of Bayesian Networks
- LLVD: LSTM-based Explicit Motion Modeling in Latent Space for Blind Video Denoising
- ELENA: Epigenetic Learning through Evolved Neural Adaptation
- Diving Deep: Forecasting Sea Surface Temperatures and Anomalies
- Element-wise Attention Is All You Need
- ExPO: Explainable Phonetic Trait-Oriented Network for Speaker Verification
- Super-class guided Transformer for Zero-Shot Attribute Classification
- Zero-shot Shark Tracking and Biometrics from Aerial Imagery
- How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond
- EmotiCrafter: Text-to-Emotional-Image Generation based on Valence-Arousal Model
- Linguistic Entity Masking to Improve Cross-Lingual Representation of Multilingual Language Models for Low-Resource Languages
- eKalibr: Dynamic Intrinsic Calibration for Event Cameras From First Principles of Events
- UniQ: Unified Decoder with Task-specific Queries for Efficient Scene Graph Generation
- Deep Reversible Consistency Learning for Cross-modal Retrieval
- Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection
- Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration
- LPRnet: A self-supervised registration network for LiDAR and photogrammetric point clouds
- TransPlace: Transferable Circuit Global Placement via Graph Neural Network
- Learning to Measure Quantum Neural Networks
- Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks
- A Bring-Your-Own-Model Approach for ML-Driven Storage Placement in Warehouse-Scale Computers
- Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation
- Efficient Representations for High-Cardinality Categorical Variables in Machine Learning
- Interpretable Enzyme Function Prediction via Residue-Level Detection
- Iconicity in Large Language Models
- Automating Date Format Detection for Data Visualization
- Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
- Regularized Top-k: A Bayesian Framework for Gradient Sparsification
- HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection
- The Impact of Model Scaling on Seen and Unseen Language Performance