Papers
Tue 22 Apr 2025
275 papers
- DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion AlignmentWorld models → World models for autonomous driving +1
- WASP: Benchmarking Web Agent Security Against Prompt Injection AttacksLLM agents and tool use → Agent threats, guardrails and governance +1
- DIFFRACT: Diffusion-based Restoration via Adaptive Control and Thresholding for Diffraction ImagingDiffusion models → Inverse problems and image restoration
- Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability FlawsSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- Learning Explainable Dense Reward Shapes via Bayesian OptimizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- A Geometric Approach to Problems in Optimization and Data ScienceLLM safety and security → Backdoor and data poisoning attacks
- PRIMETIME : Limits of LLMs in Temporal PrimitivesLLM reasoning → Knowledge- and tool-augmented reasoning
- TTRL: Test-Time Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
- MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse AttentionMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Survey of Video Diffusion Models: Foundations, Implementations, and ApplicationsDiffusion models → Video generation
- From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection TuningDiffusion models → Image generation, text-to-image and editing
- LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making AbilitiesLLM agents and tool use → Reinforcement learning for LLM agents
- PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language ModelsLLM reasoning → Spatial and embodied reasoning
- Guiding VLM Agents with Process Rewards at Inference Time for GUI NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- Describe Anything: Detailed Localized Image and Video CaptioningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Boosting Generative Image Modeling via Joint Image-Feature SynthesisDiffusion models → Diffusion foundations and sampling
- Vision language models are unreliable at trivial spatial cognitionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Vision-Language Models Are Not Pragmatically Competent in Referring Expression GenerationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and ExplainabilityKnowledge distillation → Knowledge distillation for LLMs
- π0.5: a Vision-Language-Action Model with Open-World GeneralizationVision-language-action models → Generalist VLA models and benchmarks
- LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field EnlargementState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Evaluating Vision Language Models (VLMs) for Radiology: A Comprehensive AnalysisMultimodal LLMs / vision-language models → Medical vision-language models
- Efficient Temporal Consistency in Diffusion-Based Video Editing with Adaptor Modules: A Theoretical FrameworkDiffusion models → Video generation
- MVQA: Mamba with Unified Sampling for Efficient Video Quality AssessmentState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Optimizing Token Consumption in LLMs: A Nano Surge Approach for Code Reasoning EfficiencyLLM reasoning → Reasoning for agents, planning and code
- Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement LearningLLM reasoning → Multimodal reasoning
- Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Towards Test Generation from Task Description for Mobile Testing with Multi-modal ReasoningLLM reasoning → Multimodal reasoning
- Synergizing RAG and Reasoning: A Systematic ReviewLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Impact of Noise on LLM-Models Performance in Abstraction and Reasoning Corpus (ARC) Tasks with Model Temperature ConsiderationsLLM reasoning → Reasoning benchmarks and evaluation
- SARI: Structured Audio Reasoning via Curriculum-Guided Reinforcement LearningLLM reasoning → Audio-language model reasoning
- Dynamic Early Exit in Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking +1
- Bidirectional Task-Motion Planning Based on Hierarchical Reinforcement Learning for Strategic ConfrontationDeep reinforcement learning methods → RL for robot navigation and UAV control
- Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference ModelLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Text-based Animatable 3D Avatars with Morphable Model AlignmentDiffusion models → 3D, point cloud and scene generation
- DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual OptimizersLLM safety and security → Machine unlearning
- Insights from Verification: Training a Verilog Generation LLM with Reinforcement Learning with Testbench FeedbackLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- A closer look at how large language models trust humans: patterns and biasesLLM agents and tool use → Social simulation and multi-agent debate
- FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented GenerationRetrieval-augmented generation → Legal and financial RAG
- WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM AgentsWorld models → World models for language agents +1
- TrustGeoGen: Formal-Verified Data Engine for Trustworthy Multi-modal Geometric Problem SolvingLLM reasoning → Spatial and embodied reasoning
- Tina: Tiny Reasoning Models via LoRALLM reasoning → Test-time compute and efficient thinking
- Clifford Group Equivariant Diffusion Models for 3D Molecular GenerationDiffusion models → Flow matching, time series and science
- Observability conditions for neural state-space models with eigenvalues and their roots of unityState-space sequence models (S4, Mamba) → Core SSM architectures for language
- CaRoSaC: A Reinforcement Learning-Based Kinematic Control of Cable-Driven Parallel Robots by Addressing Cable Sag through SimulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Structure-Preserving Zero-Shot Image Editing via Stage-Wise Latent Injection in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Implementing Rational Choice Functions with LLMs and Measuring their Alignment with User PreferencesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- DianJin-R1: Evaluating and Enhancing Financial Reasoning in Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- Advancing Embodied Agent Security: From Safety Benchmarks to Input ModerationLLM agents and tool use → Agent threats, guardrails and governance
- The Viability of Crowdsourcing for RAG EvaluationRetrieval-augmented generation → RAG pipeline design and evaluation
- Vidi: Large Multimodal Models for Video Understanding and EditingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Policy-Based Radiative Transfer: Solving the 2-Level Atom Non-LTE Problem using Soft Actor-Critic Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- UINO-FSS: Unifying Representation Learning and Few-shot Segmentation via Hierarchical Distillation and Mamba-HyperCorrelationState-space sequence models (S4, Mamba) → Vision Mamba backbones
- DiTPainter: Efficient Video Inpainting with Diffusion TransformersDiffusion models → 3D, point cloud and scene generation
- Enhancing Reinforcement learning in 3-Dimensional Hydrophobic-Polar Protein Folding Model with Attention-based layersDeep reinforcement learning methods → RL for energy, networks and operations
- CiteFix: Enhancing RAG Accuracy Through Post-Processing Citation CorrectionRetrieval-augmented generation → RAG robustness and adaptive retrieval
- ZeroSlide: Is Zero-Shot Classification Adequate for Lifelong Learning in Whole-Slide Image Analysis in the Era of Pathology Vision-Language Foundation Models?Multimodal LLMs / vision-language models → Medical vision-language models
- FaceInsight: A Multimodal Large Language Model for Face PerceptionMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- RadioDiff-k2: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map ConstructionDiffusion models → Diffusion for compression and wireless
- AdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference OptimizationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image ClassificationState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- Grasping Deformable Objects via Reinforcement Learning with Cross-Modal Attention to Visuo-Tactile InputsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and DeploymentLLM reasoning → Reasoning for agents, planning and code +2
- Instruction-Tuning Data Synthesis from Scratch via Web ReconstructionSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- SPECI: Skill Prompts based Hierarchical Continual Imitation Learning for Robot ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- A Multi-Agent Framework for Automated Qinqiang Opera Script Generation Using Large Language ModelsLLM agents and tool use → Multimodal and embodied agents
- LLM-based Semantic Augmentation for Harmful Content DetectionLLM safety and security → Safety alignment, refusal and guardrails
- Compass-V2 Technical ReportMixture-of-experts → MoE large language models
- Few-Shot Vision-Language Action-Incremental Policy LearningVision-language-action models → Reinforcement learning and post-training
- InstaRevive: One-Step Image Enhancement via Dynamic Score MatchingDiffusion models → Diffusion foundations and sampling
- T2VShield: Model-Agnostic Jailbreak Defense for Text-to-Video ModelsLLM safety and security → Vision-language and text-to-image safety
- Understanding Financial Reasoning in AI: A Multimodal Benchmark and Error Learning Approach
- Sentiment Analysis in Software Engineering: Evaluating Generative Pre-trained Transformers
- Cryptogenic stroke and migraine: using probabilistic independence and machine learning to uncover latent sources of disease from the electronic health record
- Enhancing TCR-Peptide Interaction Prediction with Pretrained Language Models and Molecular Representations
- Manifold-Constrained Sentence Embeddings via Triplet Loss: Projecting Semantics onto Spheres, Tori, and M"obius Strips
- Performance Evaluation of Emotion Classification in Japanese Using RoBERTa and DeBERTa
- ConformalNL2LTL: Translating Natural Language Instructions into Temporal Logic Formulas with Conformal Correctness Guarantees
- Context-Enhanced Contrastive Search for Improved LLM Text Generation
- Kill two birds with one stone: generalized and robust AI-generated text detection via dynamic perturbations
- Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism
- BELL: Benchmarking the Explainability of Large Language Models
- Intelligent Detection of Non-Essential IoT Traffic on the Home Gateway
- Residual-Evasive Attacks on ADMM in Distributed Optimization
- Large Language Model Empowered Privacy-Protected Framework for PHI Annotation in Clinical Notes
- CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss
- Object Learning and Robust 3D Reconstruction
- OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning
- SmallGS: Gaussian Splatting-based Camera Pose Estimation for Small-Baseline Videos
- Research on Cloud Platform Network Traffic Monitoring and Anomaly Detection System based on Large Language Models
- GeneMamba: An Efficient and Effective Foundation Model on Single Cell Data
- PCF-Grasp: Converting Point Completion to Geometry Feature to Enhance 6-DoF Grasp
- Semantics at an Angle: When Cosine Similarity Works Until It Doesn't
- On the Consistency of GNN Explanations for Malware Detection
- SignX: Continuous Sign Recognition in Compact Pose-Rich Latent Space
- Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives
- Regularizing Differentiable Architecture Search with Smooth Activation
- MetaHarm: Harmful YouTube Video Dataset Annotated by Domain Experts, GPT-4-Turbo, and Crowdworkers
- Naturally Computed Scale Invariance in the Residual Stream of ResNet18
- The Paradox of Poetic Intent in Back-Translation: Evaluating the Quality of Large Language Models in Chinese Translation
All 275
- Affect Models Have Weak Generalizability to Atypical Speech
- DataS^3: Dataset Subset Selection for Specialization
- An Automated Pipeline for Few-Shot Bird Call Classification: A Case Study with the Tooth-Billed Pigeon
- Quantum Doubly Stochastic Transformers
- From Promising Capability to Pervasive Bias: Assessing Large Language Models for Emergency Department Triage
- The Language of Attachment: Modeling Attachment Dynamics in Psychotherapy
- COBRA: Algorithm-Architecture Co-optimized Binary Transformer Accelerator for Edge Inference
- Boosting KNNClassifier Performance with Opposition-Based Data Transformation
- TeLLMe: An Energy-Efficient Ternary LLM Accelerator for Prefilling and Decoding on Edge FPGAs
- CLIRudit: Cross-Lingual Information Retrieval of Scientific Documents
- Gradient-Optimized Fuzzy Classifier: A Benchmark Study Against State-of-the-Art Models
- Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching
- FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness
- DeepCS-TRD, a Deep Learning-based Cross-Section Tree Ring Detector
- General Post-Processing Framework for Fairness Adjustment of Machine Learning Models
- Comprehensive Evaluation of Quantitative Measurements from Automated Deep Segmentations of PSMA PET/CT Images
- Using Phonemes in cascaded S2S translation pipeline
- Towards a Distributed Federated Learning Aggregation Placement using Particle Swarm Intelligence
- Blockchain Meets Adaptive Honeypots: A Trust-Aware Approach to Next-Gen IoT Security
- Hexcute: A Compiler Framework for Automating Layout Synthesis in GPU Programs
- TinyML for Speech Recognition
- HTN Plan Repair Algorithms Compared: Strengths and Weaknesses of Different Methods
- Reflexive Prompt Engineering: A Framework for Responsible Prompt Engineering and Interaction Design
- Quality of explanation of xAI from the prespective of Italian end-users: Italian version of System Causability Scale (SCS)
- Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning
- FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking
- Behavior of prediction performance metrics with rare events
- CLIP-IT: CLIP-based Pairing for Histology Images Classification
- FPGA-Based Neural Network Accelerators for Space Applications: A Survey
- Physics-Informed Inference Time Scaling for Solving High-Dimensional PDE via Defect Correction
- A detection-task-specific deep-learning method to improve the quality of sparse-view myocardial perfusion SPECT images
- Leveraging Social Media Analytics for Sustainability Trend Detection in Saudi Arabias Evolving Market
- Heterogeneous networks in drug-target interaction prediction
- Classification of Firn Data via Topological Features
- Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room
- Progressive Language-guided Visual Learning for Multi-Task Visual Grounding
- Detecting Actionable Requests and Offers on Social Media During Crises Using LLMs
- A Statistical Approach for Synthetic EEG Data Generation
- A Non-Invasive Load Monitoring Method for Edge Computing Based on MobileNetV3 and Dynamic Time Regulation
- Deep Learning Meets Process-Based Models: A Hybrid Approach to Agricultural Challenges
- SparseJEPA: Sparse Representation Learning of Joint Embedding Predictive Architectures
- Enhancing Trust Through Standards: A Comparative Risk-Impact Framework for Aligning ISO AI Standards with Global Ethical and Regulatory Contexts
- MR. Video: "MapReduce" is the Principle for Long Video Understanding
- Explainable Unsupervised Anomaly Detection with Random Forest
- High-performance training and inference for deep equivariant interatomic potentials
- Free Access to World News: Reconstructing Full-Text Articles from GDELT
- ForesightNav: Learning Scene Imagination for Efficient Exploration
- Certified Mitigation of Worst-Case LLM Copyright Infringement
- Approximate matrices of systems of max-min fuzzy relational equations
- Muon Optimizer Accelerates Grokking
- LLMs meet Federated Learning for Scalable and Secure IoT Management
- LiveCC: Learning Video LLM with Streaming Speech Transcription at Scale
- Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3
- Trends in AI Supercomputers
- PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning
- Navigating the State of Cognitive Flow: Context-Aware AI Interventions for Effective Reasoning Support
- AlphaGrad: Non-Linear Gradient Normalization Optimizer
- The Formation of Production Networks: How Supply Chains Arise from Simple Learning with Minimal Information
- Methods for Recognizing Nested Terms
- CAPO: Cost-Aware Prompt Optimization
- How Private is Your Attention? Bridging Privacy with In-Context Learning
- OPUS-VFL: Incentivizing Optimal Privacy-Utility Tradeoffs in Vertical Federated Learning
- Benchmarking machine learning models for predicting aerofoil performance
- Efficient Adaptation of Deep Neural Networks for Semantic Segmentation in Space Applications
- Few-shot Hate Speech Detection Based on the MindSpore Framework
- W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models
- Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs
- A New Graph Grammar Formalism for Robust Syntactic Pattern Recognition
- Bug Destiny Prediction in Large Open-Source Software Repositories through Sentiment Analysis and BERT Topic Modeling
- Recent Advances and Future Directions in Extended Reality (XR): Exploring AI-Powered Spatial Intelligence
- FreeGraftor: Training-Free Cross-Image Feature Grafting for Subject-Driven Text-to-Image Generation
- Universal Approximation with Softmax Attention
- Visual Place Cell Encoding: A Computational Model for Spatial Representation and Cognitive Mapping
- Adversarial Observations in Weather Forecasting
- FairTranslate: An English-French Dataset for Gender Bias Evaluation in Machine Translation by Overcoming Gender Binarity
- Low-Rank Adaptation of Neural Fields
- Benchmarking the Reproducibility of Brain MRI Segmentation Across Scanners and Time
- StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation
- Clinician-Friendly Foundation Models for Ophthalmic Image Diagnostics without Fine-Tuning or Technical Barriers
- New Recipe for Semi-supervised Community Detection: Clique Annealing under Crystallization Kinetics
- Achieving Distributive Justice in Federated Learning via Uncertainty Quantification
- ViSMaP: Unsupervised Hour-long Video Summarisation by Meta-Prompting
- ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
- Ask2Loc: Learning to Locate Instructional Visual Answers by Asking Questions
- Automated Bug Report Prioritization in Large Open-Source Projects
- GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network
- RaSCL: Radar to Satellite Crossview Localization
- SUPRA: Subspace Parameterized Attention for Neural Operator on General Domains
- Supporting Data-Frame Dynamics in AI-assisted Decision Making
- MS-Occ: Multi-Stage LiDAR-Camera Fusion for 3D Semantic Occupancy Prediction
- Integrating Non-Linear Radon Transformation for Diabetic Retinopathy Grading
- MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search
- DERD-Net: Learning Depth from Event-based Ray Densities
- Consistent Causal Inference of Group Effects in Non-Targeted Trials with Finitely Many Effect Levels
- Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis
- CARE: Compatibility-Aware Incentive Mechanisms for Federated Learning with Budgeted Requesters
- Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions
- Generative AI for Research Data Processing: Lessons Learnt From Three Use Cases
- Full waveform inversion with CNN-based velocity representation extension
- Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models
- What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns
- Fusing Reward and Dueling Feedback in Stochastic Bandits
- DAE-KAN: A Kolmogorov-Arnold Network Model for High-Index Differential-Algebraic Equations
- Locating and Mitigating Gradient Conflicts in Point Cloud Domain Adaptation via Saliency Map Skewness
- Development and evaluation of a deep learning algorithm for German word recognition from lip movements
- Crisp complexity of fuzzy classifiers
- Satellite to GroundScape -- Large-scale Consistent Ground View Generation from Satellite Views
- Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach
- Towards prediction of morphological heart age from computed tomography angiography
- Model-based Metric 3D Shape and Motion Reconstruction of Wild Bottlenose Dolphins in Drone-Shot Videos
- Shannon invariants: A scalable approach to information decomposition
- Refining Ground Truth Poses in Autonomous Driving Datasets via Neural Rendering
- ORION Grounded in Context: Retrieval-Based Method for Hallucination Detection
- Multi-Scale Tensorial Summation and Dimensional Reduction Guided Neural Network for Edge Detection
- Dynamic Intent Queries for Motion Transformer-based Trajectory Prediction
- DSDNet: Raw Domain Demoir'eing via Dual Color-Space Synergy
- Markov Kernels, Distances and Optimal Control: A Parable of Linear Quadratic Non-Gaussian Distribution Steering
- GADS: A Super Lightweight Model for Head Pose Estimation
- iMedic: Towards Smartphone-based Self-Auscultation Tool for AI-Powered Pediatric Respiratory Assessment
- Riemannian Neural Geodesic Interpolant
- SAGA: Semantic-Aware Gray color Augmentation for Visible-to-Thermal Domain Adaptation across Multi-View Drone and Ground-Based Vision Systems
- Collaborative Split Federated Learning with Parallel Training and Aggregation
- From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning
- RePOPE: Impact of Annotation Errors on the POPE Benchmark
- You Sense Only Once Beneath: Ultra-Light Real-Time Underwater Object Detection
- Transfer Learning for High-dimensional Reduced Rank Time Series Models
- Subject islands do not reduce to construction-specific discourse function
- Invariant Learning with Annotation-free Environments
- FinTextSim: Enhancing Financial Text Analysis with BERTopic
- TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data
- Preprint: Exploring Inevitable Waypoints for Unsolvability Explanation in Hybrid Planning Problems
- Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg
- Motion-Enhanced Nonlocal Similarity Implicit Neural Representation for Infrared Dim and Small Target Detection
- An XAI-based Analysis of Shortcut Learning in Neural Networks
- FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning
- VeriCoder: Enhancing LLM-Based RTL Code Generation through Functional Correctness Validation
- Neural Kinematic Bases for Fluids
- A Vision-Enabled Prosthetic Hand for Children with Upper Limb Disabilities
- AffordanceSAM: Segment Anything Once More in Affordance Grounding
- RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution
- Computational Typology
- Cequel: Cost-Effective Querying of Large Language Models for Text Clustering
- DR.FIX: Automatically Fixing Data Races at Industry Scale
- A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection
- Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement
- SocialMOIF: Multi-Order Intention Fusion for Pedestrian Trajectory Prediction
- Dimension-Free Decision Calibration for Nonlinear Loss Functions
- Learning Dynamic Graphs via Tensorized and Lightweight Graph Convolutional Networks
- Fine-Tuning a 7B Advisor on Free-Tier GPUs: An Adapter-Handoff Recipe and a Synthetic-Data Reliability Caution
- SonarT165: A Large-scale Benchmark and STFTrack Framework for Acoustic Object Tracking
- Exploring Next Token Prediction in Theory of Mind (ToM) Tasks: Comparative Experiments with GPT-2 and LLaMA-2 AI Models
- Multi-Modal Fusion of In-Situ Video Data and Process Parameters for Online Forecasting of Cookie Drying Readiness
- Analytical Softmax Temperature Setting from Feature Dimensions for Model- and Domain-Robust Classification
- MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design
- Smooth Calibration and Decision Making
- On the Price of Differential Privacy for Hierarchical Clustering
- Real-Time Optimal Design of Experiment for Parameter Identification of Li-Ion Cell Electrochemical Model
- State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination
- OpenClassGen: A Large-Scale Corpus of Real-World Python Classes for LLM Research
- Bayesian Autoencoder for Medical Anomaly Detection: Uncertainty-Aware Approach for Brain 2 MRI Analysis
- Do It For Me vs. Do It With Me: Investigating User Perceptions of Different Paradigms of Automation in Copilots for Feature-Rich Software
- A Framework for Testing and Adapting REST APIs as LLM Tools
- VLM-based Prompts as the Optimal Assistant for Unpaired Histopathology Virtual Staining
- llm-jp-modernbert: A ModernBERT Model Trained on a Large-Scale Japanese Corpus with Long Context Length
- Bayesian model-averaging stochastic item selection for adaptive testing
- RiskNet: Interaction-Aware Risk Forecasting for Autonomous Driving in Long-Tail Scenarios
- Interpretable Deep Learning for Polar Mechanistic Reaction Prediction
- Federated Latent Factor Learning for Recovering Wireless Sensor Networks Signal with Privacy-Preserving
- IPBench: Benchmarking the Knowledge of Large Language Models in Intellectual Property
- The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks
- Transport f divergences
- SimulS2S-LLM: Unlocking Simultaneous Inference of Speech LLMs for Speech-to-Speech Translation
- Guillotine: Hypervisors for Isolating Malicious AIs
- Scalable APT Malware Classification via Parallel Feature Extraction and GPU-Accelerated Learning
- Fluorescence Reference Target Quantitative Analysis Library