Papers
Fri 28 Feb 2025
359 papers
- SuperRAG: Beyond RAG with Layout-Aware Graph ModelingRetrieval-augmented generation → Multimodal RAG
- Aligning Extraction and Generation for Robust Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval +1
- AgroLLM: Connecting Farmers and Agricultural Practices through Large Language Models for Enhanced Knowledge Transfer and Practical ApplicationRetrieval-augmented generation → Time series and agricultural RAG
- Attend or Perish: Benchmarking Attention in Algorithmic ReasoningLLM reasoning → Test-time compute and efficient thinking
- UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own ReasoningLLM reasoning → Reasoning for agents, planning and code +2
- CoSMoEs: Compact Sparse Mixture of ExpertsMixture-of-experts → Efficient MoE training and inference systems
- Passage Query Methods for Retrieval and Reranking in Conversational AgentsLLM agents and tool use → Web, search, and research agents
- Agentic AI Needs a Systems TheoryLLM reasoning → Reasoning for agents, planning and code +1
- Jawaher: A Multidialectal Dataset of Arabic Proverbs for LLM BenchmarkingLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- The Learning Approach to GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
- SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation ModelsEnd-to-end autonomous driving → VLMs for autonomous driving
- Quantifying First-Order Markov Violations in Noisy Reinforcement Learning: A Causal Discovery ApproachDeep reinforcement learning methods → Deep RL algorithms and representations
- PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable DiffusionDiffusion models → Medical imaging and segmentation
- ProDapt: Proprioceptive Adaptation using Long-term Memory DiffusionDiffusion models → Diffusion and flow policies for robotics +1
- Adaptive Reinforcement Learning for State Avoidance in Discrete Event SystemsDeep reinforcement learning methods → Deep RL algorithms and representations
- Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking AttacksLLM safety and security → Jailbreaking
- Steering Large Language Model Activations in Sparse SpacesMechanistic interpretability → Activation steering methods
- Transforming Cyber Defense: Harnessing Agentic and Frontier AI for Proactive, Ethical Threat IntelligenceLLM agents and tool use → Agent threats, guardrails and governance
- PreMind: Multi-Agent Video Understanding for Advanced Indexing of Presentation-style VideosLLM agents and tool use → Multimodal and embodied agents
- Personalized Causal Graph Reasoning for LLMs: An Implementation for Dietary RecommendationsLLM reasoning → Clinical and biomedical applications
- BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational BiologyLLM agents and tool use → Medical and scientific domain agents
- Rethinking LLM Bias Probing Using Lessons from the Social SciencesLLM reasoning → Reasoning benchmarks and evaluation
- EdgeAIGuard: Agentic LLMs for Minor Protection in Digital SpacesLLM agents and tool use → Agent threats, guardrails and governance
- InspireMusic: Integrating Super Resolution and Large Language Model for High-Fidelity Long-Form Music GenerationDiffusion models → Audio, speech and music
- LLM Post-Training: A Deep Dive into Reasoning Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Raccoon: Multi-stage Diffusion Training with Coarse-to-Fine Curating VideosDiffusion models → Video generation
- Reasoning is Periodicity? Improving Large Language Models Through Effective Periodicity ModelingLLM reasoning → Reasoning benchmarks and evaluation
- MIGE: Mutually Enhanced Multimodal Instruction-Based Image Generation and EditingDiffusion models → Image generation, text-to-image and editing
- Does Generation Require Memorization? Creative Diffusion Models using Ambient DiffusionDiffusion models → Diffusion foundations and sampling
- Adaptive Keyframe Sampling for Long Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- ReaLJam: Real-Time Human-AI Music Jamming with Reinforcement Learning-Tuned TransformersDeep reinforcement learning methods → RL for robot locomotion and manipulation
- PET Image Denoising via Text-Guided Diffusion: Integrating Anatomical Priors through Text PromptsDiffusion models → Medical imaging and segmentation
- RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to ConcreteMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- A Method of Selective Attention for Reservoir Based AgentsDeep reinforcement learning methods → Deep RL algorithms and representations
- Transformers Learn to Implement Multi-step Gradient Descent with Chain of ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
- ARIES: Autonomous Reasoning with LLMs on Interactive Thought Graph EnvironmentsLLM reasoning → Reasoning for agents, planning and code +1
- Scalable Decision-Making in Stochastic Environments through Learned Temporal AbstractionOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- Reducing Reward Dependence in RL Through Adaptive Confidence DiscountingDeep reinforcement learning methods → RL training of language and agent models
- Multimodal Dreaming: A Global Workspace Approach to World Model-Based Reinforcement LearningWorld models → Latent dynamics models and model-based RL +1
- Dynamically Local-Enhancement Planner for Large-Scale Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Generating patient cohorts from electronic health records using two-step retrieval-augmented text-to-SQL generationRetrieval-augmented generation → Medical and biomedical RAG
- AuthSim: Towards Authentic and Effective Safety-critical Scenario Generation for Autonomous Driving TestsEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- PASemiQA: Plan-Assisted Agent for Question Answering on Semi-Structured Data with Text and Relational InformationRetrieval-augmented generation → RAG robustness and adaptive retrieval +1
- Training-free and Adaptive Sparse Attention for Efficient Long Video GenerationDiffusion models → Video generation
- Spatial Reasoning with Denoising ModelsLLM reasoning → Spatial and embodied reasoning
- CODI: Compressing Chain-of-Thought into Continuous Space via Self-DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
- FC-Attack: Jailbreaking Multimodal Large Language Models via Auto-Generated FlowchartsLLM safety and security → Vision-language and text-to-image safety
- Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor ControlDeep reinforcement learning methods → RL for robot navigation and UAV control
- Reward Learning from Multiple Feedback TypesLLM agents and tool use → Reinforcement learning for LLM agents +1
- Beyond Words: A Latent Memory Approach to Internal Reasoning in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation SystemsRetrieval-augmented generation → Privacy and security of RAG
- Motion ReTouch: Motion Modification Using Four-Channel Bilateral ControlOffline RL and imitation learning from data → Robot manipulation imitation learning
- TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead RetrievalRetrieval-augmented generation → RAG pipeline design and evaluation
- Fine-Grained Knowledge Structuring and Retrieval for Visual Question AnsweringRetrieval-augmented generation → Multimodal RAG
- Retrieval Augmented Generation for Topic Modeling in Organizational Research: An Introduction with Empirical DemonstrationRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Reward Dimension Reduction for Scalable Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Optimality and Suboptimality of MPPI Control in Stochastic and Deterministic SettingsDeep reinforcement learning methods → RL for autonomous driving and traffic
- Efficient Jailbreaking of Large Models by Freeze Training: Lower Layers Exhibit Greater Sensitivity to Harmful ContentLLM safety and security → Jailbreaking
- Generative Uncertainty in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?Mechanistic interpretability → Circuits and mechanistic analysis
- DiffBrush:Just Painting the Art by Your HandsDiffusion models → Image generation, text-to-image and editing
- DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous GraspingVision-language-action models → Human-video and latent-action pretraining
- ProBench: Benchmarking Large Language Models in Competitive ProgrammingLLM reasoning → Reasoning for agents, planning and code
- The Power of Personality: A Human Simulation Perspective to Investigate Large Language Model AgentsLLM agents and tool use → Social simulation and multi-agent debate
- A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- VLEER: Vision and Language Embeddings for Explainable Whole Slide Image RepresentationMultimodal LLMs / vision-language models → Medical vision-language models
- Gradient Imbalance in Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Reinforcement Learning with Curriculum-inspired Adaptive Direct Policy Guidance for Truck DispatchingDeep reinforcement learning methods → RL for autonomous driving and traffic
- CoTMR: Chain-of-Thought Multi-Scale Reasoning for Training-Free Zero-Shot Composed Image RetrievalLLM reasoning → Multimodal reasoning
- HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual ContextsLLM reasoning → Multimodal reasoning +1
- Digital Player: Evaluating Large Language Models based Human-like Agent in GamesLLM agents and tool use → Reinforcement learning for LLM agents
- Test-Time Alignment for Large Language Models via Textual Model Predictive ControlLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- CyLens: Towards Reinventing Cyber Threat Intelligence in the Paradigm of Agentic Large Language ModelsLLM agents and tool use → Agent threats, guardrails and governance
- Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path SupervisionLLM reasoning → Prompting and chain-of-thought reasoning
- MedHallTune: An Instruction-Tuning Benchmark for Mitigating Medical Hallucination in Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Visual Attention Exploration in Vision-Based Mamba ModelsState-space sequence models (S4, Mamba) → Vision Mamba backbones
- VRM: Knowledge Distillation via Virtual Relation MatchingKnowledge distillation → General knowledge distillation methods
- Collective Reasoning Among LLMs: A Framework for Answer Validation Without Ground TruthLLM reasoning → Reasoning benchmarks and evaluation
- The Rise of Darkness: Safety-Utility Trade-Offs in Role-Playing Dialogue AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information FlowMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Teach-to-Reason with Scoring: Self-Explainable Rationale-Driven Multi-Trait Essay ScoringLLM reasoning → Reasoning benchmarks and evaluation
- Structured Preference Optimization for Vision-Language Long-Horizon Task PlanningLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- CADDreamer: CAD Object Generation from Single-view ImagesDiffusion models → 3D, point cloud and scene generation
- Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse AdapterLLM safety and security → Federated unlearning and poisoning
- Fuzzy Speculative Decoding for a Tunable Accuracy-Runtime TradeoffEfficient LLM inference and serving → Speculative decoding
- WorldModelBench: Judging Video Generation Models As World ModelsWorld models → Video-generation world models and simulators
- WiseMind: a knowledge-guided multi-agent framework for accurate and empathetic psychiatric diagnosisLLM agents and tool use → Medical and scientific domain agents
- JAM: Controllable and Responsible Text Generation via Causal Reasoning and Latent Vector ManipulationLLM reasoning → Causal reasoning in LLMs
- Diffusion Restoration Adapter for Real-World Image RestorationDiffusion models → Inverse problems and image restoration
- Advancing AI-Powered Medical Image Synthesis: Insights from MedVQA-GI Challenge Using CLIP, Fine-Tuned Stable Diffusion, and Dream-Booth + LoRADiffusion models → Medical imaging and segmentation
- Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation ConversationRetrieval-augmented generation → Legal and financial RAG
- Subtask-Aware Visual Reward Learning from Segmented DemonstrationsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Rectifying Belief Space via Unlearning to Harness LLMs' ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User DataRetrieval-augmented generation → Privacy and security of RAG
- Hybrid Retrieval for Hallucination Mitigation in Large Language Models: A Comparative Analysis
- Towards properly implementing Theory of Mind in AI systems: An account of four misconceptions
- Enhancing Explainability with Multimodal Context Representations for Smarter Robots
- How Metacognitive Architectures Remember Their Own Thoughts: A Systematic Review
All 359
- A novel Fourier Adjacency Transformer for advanced EEG emotion recognition
- Timing-Driven Global Placement by Efficient Critical Path Extraction
- EXALT: EXplainable ALgorithmic Tools for Optimization Problems
- Emergent Abilities in Large Language Models: A Survey
- Towards Anthropomorphic Conversational AI Part I: A Practical Framework
- Segmenting Bi-Atrial Structures Using ResNext Based Framework
- Technical Report for ReID-SAM on SkiTB Visual Tracking Challenge 2025
- Learning to Chain Operations by Routing Information Through a Global Workspace
- PaCA: Partial Connection Adaptation for Efficient Fine-Tuning
- What are You Looking at? Modality Contribution in Multimodal Medical Deep Learning
- PsychBench: A comprehensive and professional benchmark for evaluating the performance of LLM-assisted psychiatric clinical practice
- How LLMs Fail to Support Fact-Checking
- Identifying Sensitive Weights via Post-quantization Integral
- LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
- FASTer: Focal Token Acquiring-and-Scaling Transformer for Long-term 3D Object Detection
- VAEs and GANs: Implicitly Approximating Complex Distributions with Simple Base Distributions and Deep Neural Networks -- Principles, Necessity, and Limitations
- Continual Learning-Aided Super-Resolution Scheme for Channel Reconstruction and Generalization in OFDM Systems
- Solar Multimodal Transformer: Intraday Solar Irradiance Predictor using Public Cameras and Time Series
- Human-AI Collaboration: Trade-offs Between Performance and Preferences
- Boundary-Emphasized Weight Maps for Distal Airway Segmentation
- 1-Lipschitz Network Initialization for Certifiably Robust Classification Applications: A Decay Problem
- Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps
- Transformers with Joint Tokens and Local-Global Attention for Efficient Human Pose Estimation
- Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster
- Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization
- Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer
- `A la recherche du sens perdu: your favourite LLM might have more to say than you can understand
- An interpretation of the Brownian bridge as a physics-informed prior for the Poisson equation
- Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction
- Autoencoder-Based Framework to Capture Vocabulary Quality in NLP
- AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies
- Llamarine: Open-source Maritime Industry-specific Large Language Model
- MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition
- Unified Video Action Model
- Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
- Zero-Shot and Efficient Clarification Need Prediction in Conversational Search
- Manifold Topological Deep Learning for Biomedical Data
- Optimal Transfer Learning for Missing Not-at-Random Matrix Completion
- A Survey of Uncertainty Estimation Methods on Large Language Models
- PaliGemma-CXR: A Multi-task Multimodal Model for TB Chest X-ray Interpretation
- SSL4EO-S12 v1.1: A Multimodal, Multiseasonal Dataset for Pretraining, Updated
- EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth Registration
- EXACT-CT: EXplainable Analysis for Crohn's and Tuberculosis using CT
- Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions
- Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction
- Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation
- Palm: A Culturally Inclusive and Linguistically Diverse Dataset for Arabic LLMs
- Precise Event Spotting in Sports Videos: Solving Long-Range Dependency and Class Imbalance
- Learner and Instructor Needs in AI-Supported Programming Learning Tools: Design Implications for Features and Adaptive Control
- RecCrysFormer: Refined Protein Structural Prediction from 3D Patterson Maps via Recycling Training Runs
- Approaching the Harm of Gradient Attacks While Only Flipping Labels
- SCORE: Systematic COnsistency and Robustness Evaluation for Large Language Models
- Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography
- CNSv2: Probabilistic Correspondence Encoded Neural Image Servo
- Fine-tuning machine-learned particle-flow reconstruction for new detector geometries in future colliders
- AnnoCaseLaw: A Richly-Annotated Dataset For Benchmarking Explainable Legal Judgment Prediction
- Internal Evaluation of Density-Based Clusterings with Noise
- Evaluation of LLMs-based Hidden States as Author Representations for Psychological Human-Centered NLP Tasks
- Unmanned Aerial Vehicle (UAV)-Based Mapping of Iris Pseudacorus L. Invasion in Laguna del Sauce (Uruguay) Coast
- Gaussian process surrogate model to approximate power grid simulators -- An application to the certification of a congestion management controller
- Protein Structure Tokenization: Benchmarking and New Recipe
- Generalization of CNNs on Relational Reasoning with Bar Charts
- Experiences with Content Development and Assessment Design in the Era of GenAI
- Exploring the Potential of QEEGNet for Cross-Task and Cross-Dataset Electroencephalography Encoding with Quantum Machine Learning
- TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction
- How far can we go with ImageNet for Text-to-Image generation?
- Identifying Emerging Concepts in Large Corpora
- Unsupervised Parameter Efficient Source-free Post-pretraining
- AutoComb: Automated Comb Sign Detector for 3D CTE Scans
- Clustering Context in Off-Policy Evaluation
- Persuasion Should be Double-Blind: A Multi-Domain Dialogue Dataset With Faithfulness Based on Causal Theory of Mind
- Contextualizing biological perturbation experiments through language
- Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis
- Controlled Model Debiasing through Minimal and Interpretable Updates
- Back to the Future Cyclopean Stereo: a human perception approach combining deep and geometric constraints
- L-Lipschitz Gershgorin ResNet Network
- BAnG: Bidirectional Anchored Generation for Conditional RNA Design
- Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks
- Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform
- Token-level Ensembling of Models with Different Vocabularies
- Foundation Models -- A Panacea for Artificial Intelligence in Pathology?
- RuCCoD: Towards Automated ICD Coding in Russian
- Modeling Human Beliefs about AI Behavior for Scalable Oversight
- ALVI Interface: Towards Full Hand Motion Decoding for Amputees Using sEMG
- Towards Developing Ethical Reasoners: Integrating Probabilistic Reasoning and Decision-Making for Complex AI Systems
- TimesBERT: A BERT-Style Foundation Model for Time Series Understanding
- Anatomically-guided masked autoencoder pre-training for aneurysm detection
- Towards long-term player tracking with graph hierarchies and domain-specific features
- The Structural Complexity of Matrix-Vector Multiplication
- Semantic Volume: Quantifying and Detecting both External and Internal Uncertainty in LLMs
- Transforming Tuberculosis Care: Optimizing Large Language Models For Enhanced Clinician-Patient Communication
- ByteScale: Efficient Scaling of LLM Training with a 2048K Context Length on More Than 12,000 GPUs
- ECLeKTic: a Novel Challenge Set for Evaluation of Cross-Lingual Knowledge Transfer
- Detecting Linguistic Diversity on Social Media
- XAIxArts Manifesto: Explainable AI for the Arts
- An Algebraic Framework for Hierarchical Probabilistic Abstraction
- The PanAf-FGBG Dataset: Understanding the Impact of Backgrounds in Wildlife Behaviour Recognition
- AMPLE: Event-Driven Accelerator for Mixed-Precision Inference of Graph Neural Networks
- Prior shift estimation for positive unlabeled data through the lens of kernel embedding
- Towards High-performance Spiking Transformers from ANN to SNN Conversion
- Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature
- Virtual Patients, Real Gains: Digital Twin-Based Simulated CT for Multitask Lung Nodule Analysis
- A Survey of Link Prediction in Temporal Networks
- HQColon: A Hybrid Interactive Machine Learning Pipeline for High Quality Colon Labeling and Segmentation
- QFAL: Quantum Federated Adversarial Learning
- Autonomous Curriculum Design via Relative Entropy Based Task Modifications
- Adaptive Illumination-Invariant Synergistic Feature Integration in a Stratified Granular Framework for Visible-Infrared Re-Identification
- Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA
- A Review on Generative AI For Text-To-Image and Image-To-Image Generation and Implications To Scientific Images
- Same accuracy, twice as fast: continuous training surpasses retraining from scratch
- Variational Bayesian Pseudo-Coreset
- Predicting clinical outcomes from patient care pathways represented with temporal knowledge graphs
- Einleitung [Introduction]
- Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning
- Microscopic Propagator Imaging (MPI) with Diffusion MRI
- CuPID: Leveraging Masked Single-Lead ECG Modelling for Enhancing the Representations
- Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
- SEE: See Everything Every Time -- Adaptive Brightness Adjustment for Broad Light Range Images via Events
- The two filter formula reconsidered: Smoothing in partially observed Gauss--Markov models without information parametrization
- Optimizing Large Language Models for ESG Activity Detection in Financial Texts
- Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
- "No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology images
- A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage
- Adaptive Lipschitz-Free Proximal Gradient Methods for Stochastic Composite Nonconvex Optimization
- Re-evaluating Theory of Mind evaluation in large language models
- FlexDrive: Toward Trajectory Flexibility in Driving Scene Reconstruction and Rendering
- An LLM-based Delphi Study to Predict GenAI Evolution
- Are foundation models useful feature extractors for electroencephalography analysis?
- BST: Badminton Stroke-type Transformer for Skeleton-based Action Recognition in Racket Sports
- Enhancing deep neural networks through complex-valued representations and Kuramoto synchronization dynamics
- Fast 3D point clouds retrieval for Large-scale 3D Place Recognition
- VT-Former: Efffcient Transformer-based Decoder for Varshamov-Tenengolts Codes
- Quantum-aware Transformer model for state classification
- HoloMine: A Synthetic Dataset for Buried Landmines Recognition using Microwave Holographic Imaging
- Detection of anomalies in cow activity using wavelet transform based features
- Synthesizing Individualized Aging Brains in Health and Disease with Generative Models and Parallel Transport
- Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
- Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing
- S4ConvD: Adaptive Scaling and Frequency Adjustment for Energy-Efficient Sensor Networks in Smart Buildings
- Synthesizing Tabular Data Using Selectivity Enhanced Generative Adversarial Networks
- A data augmentation strategy for deep neural networks with application to epidemic modelling
- Sixth-Sense: Self-Supervised Learning of Spatial Awareness of Humans from a Planar Lidar
- Measuring and identifying factors of individuals' trust in Large Language Models
- AutoQML: A Framework for Automated Quantum Machine Learning
- TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions
- When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity
- PersuasiveToM: A Benchmark for Evaluating Machine Theory of Mind in Persuasive Dialogues
- FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection
- MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics
- Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking)
- Soften the Mask: Adaptive Temporal Soft Mask for Efficient Dynamic Facial Expression Recognition
- Towards Lossless Implicit Neural Representation via Bit Plane Decomposition
- Capability Localization: Capabilities Can be Localized rather than Individual Knowledge
- Forecasting Monthly Residential Natural Gas Demand Using Just-In-Time-Learning Modeling
- Reviewing Clinical Knowledge in Medical Large Language Models: Training and Beyond
- LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging
- UoR-NCL at SemEval-2025 Task 1: Using Generative LLMs and CLIP Models for Multilingual Multimodal Idiomaticity Representation
- Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection
- Real-Time Aerial Fire Detection on Resource-Constrained Devices Using Knowledge Distillation
- Set-Theoretic Compositionality of Sentence Embeddings
- Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data
- Arabizi vs LLMs: Can the Genie Understand the Language of Aladdin?
- Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs
- Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes
- Robust and Efficient Writer-Independent IMU-Based Handwriting Recognition
- Concealed Adversarial attacks on neural networks for sequential data
- BadRefSR: Backdoor Attacks Against Reference-based Image Super Resolution
- A Deep User Interface for Exploring LLaMa
- WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense Retrieval
- Revisiting the Evaluation Bias Introduced by Frame Sampling Strategies in Surgical Video Segmentation Using SAM2
- MatLLMSearch: Crystal Structure Discovery with Evolution-Guided Large Language Models
- Automated Evaluation of Meter and Rhyme in Russian Generative and Human-Authored Poetry
- Amortized Conditional Independence Testing
- Decoder Gradient Shield: Provable and High-Fidelity Prevention of Gradient-Based Box-Free Watermark Removal
- A database to support the evaluation of gender biases in GPT-4o output
- Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions
- A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
- Hamiltonian Neural Networks approach to fuzzball geodesics
- Adaptive Identification of Blurred Regions for Accurate Image Deblurring
- egoPPG: Heart Rate Estimation from Eye-Tracking Cameras in Egocentric Systems to Benefit Downstream Vision Tasks
- Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty
- PathVG: A New Benchmark and Dataset for Pathology Visual Grounding
- Better Benchmarking LLMs for Zero-Shot Dependency Parsing
- Do Language Models Understand Honorific Systems in Javanese?
- MESC-3D:Mining Effective Semantic Cues for 3D Reconstruction from a Single Image
- MAMUT: A Novel Framework for Modifying Mathematical Formulas for the Generation of Specialized Datasets for Language Model Training
- Oscillation-Reduced MXFP4 Training for Vision Transformers
- Delta-WKV: A Novel Meta-in-Context Learner for MRI Super-Resolution
- Neuro-Symbolic Learning for Galois Groups: Unveiling Probabilistic Trends in Polynomials
- Hierarchical and Modular Network on Non-prehensile Manipulation in General Environments
- Weakly Supervised Detection and Temporal Localization of Whale Calls in Long-Duration Bioacoustic Data
- Tuning-Free Structured Sparse PCA via Deep Unfolding Networks
- Learning to Substitute Components for Compositional Generalization
- LADs: Leveraging LLMs for AI-Driven DevOps
- MFSR-GAN: Multi-Frame Super-Resolution with Handheld Motion Modeling
- Can We Simplify Slide-level Fine-tuning of Pathology Foundation Models?
- Enhanced Derivative-Free Optimization Using Adaptive Correlation-Induced Finite Difference Estimators
- Improved 3D Point-Line Mapping Regression for Camera Relocalization
- Multimodal Learning for Just-In-Time Software Defect Prediction in Autonomous Driving Systems
- FunHOI: Annotation-Free 3D Hand-Object Interaction Generation via Functional Text Guidance
- Two-Stream Spatial-Temporal Transformer Framework for Person Identification via Natural Conversational Keypoints
- Towards Ultimate NMR Resolution with Deep Learning
- Characteristics Analysis of Autonomous Vehicle Pre-crash Scenarios
- GraphCheck: Multipath Fact-Checking with Entity-Relationship Graphs
- Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction
- Flattening Supply Chains: When do Technology Improvements lead to Disintermediation?
- Triple Phase Transitions: Understanding the Learning Dynamics of Large Language Models from a Neuroscience Perspective
- Damper-B-PINN: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Vehicle State Estimation
- Learning to Steer Learners in Games
- Information Bottleneck-Guided Heterogeneous Graph Learning for Interpretable Neurodevelopmental Disorder Diagnosis
- FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
- Information-Theoretic Perspectives on Optimizers
- Towards Practical Real-Time Neural Video Compression
- Minimax Optimal Kernel Two-Sample Tests with Random Features
- Acquiring Grounded Representations of Words with Situated Interactive Instruction
- SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
- Indoor Localization for Autonomous Robot Navigation
- DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking
- NeuroMorse: A Temporally Structured Dataset For Neuromorphic Computing
- SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models
- Retrieval Backward Attention without Additional Training: Enhance Embeddings of Large Language Models via Repetition
- Generating Clinically Realistic EHR Data via a Hierarchy- and Semantics-Guided Transformer
- Glioma Classification using Multi-sequence MRI and Novel Wavelets-based Feature Fusion
- Why Trust in AI May Be Inevitable
- Towards General Visual-Linguistic Face Forgery Detection(V2)
- Unleashing the Potential of Two-Tower Models: Diffusion-Based Cross-Interaction for Large-Scale Matching
- EDM: Equirectangular Projection-Oriented Dense Kernelized Feature Matching
- Fine-tuning BERT with Bidirectional LSTM for Fine-grained Movie Reviews Sentiment Analysis
- Disentangling Feature Structure: A Mathematically Provable Two-Stage Training Dynamics in Transformers
- STPro: Spatial and Temporal Progressive Learning for Weakly Supervised Spatio-Temporal Grounding
- FoCTTA: Low-Memory Continual Test-Time Adaptation with Focus
- SciceVPR: Stable Cross-Image Correlation Enhanced Model for Visual Place Recognition
- EndoPBR: Material and Lighting Estimation for Photorealistic Surgical Simulations via Physically-based Rendering
- OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing
- Prediction of Item Difficulty for Reading Comprehension Items by Creation of Annotated Item Repository
- Dimension Agnostic Neural Processes
- Automatic database description generation for Text-to-SQL
- Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
- The Common Objects Underwater (COU) Dataset for Robust Underwater Object Detection
- Consistency Evaluation of News Article Summaries Generated by Large (and Small) Language Models
- EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar
- FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
- TractCloud-FOV: Deep Learning-based Robust Tractography Parcellation in Diffusion MRI with Incomplete Field of View
- Can LLM Assist in the Evaluation of the Quality of Machine Learning Explanations?
- UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting
- Are LLMs Ready for Practical Adoption for Assertion Generation?
- Lattice Protein Folding with Variational Annealing
- Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks
- T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
- SafeText: Safe Text-to-image Models via Aligning the Text Encoder
- RTGen: Real-Time Generative Detection Transformer
- Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation
- Continuous Adversarial Text Representation Learning for Affective Recognition
- Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
- Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems
- Map Space Belief Prediction for Manipulation-Enhanced Mapping
- Exploring the Impact of Temperature Scaling in Softmax for Classification and Adversarial Robustness
- Deep Learning of the Evolution Operator Enables Forecasting of Out-of-Training Dynamics in Chaotic Systems
- NutriGen: Personalized Meal Plan Generator Leveraging Large Language Models to Enhance Dietary and Nutritional Adherence