Papers
Fri 22 Aug 2025
291 papers
- DSRAG: A Domain-Specific Retrieval Framework Based on Document-derived Multimodal Knowledge GraphRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- A-FloPS: Accelerating Diffusion Models via Adaptive Flow Path SamplerDiffusion models → Diffusion foundations and sampling
- LLM Agents for Generating Microservice-based Applications: how complex is your specification?LLM agents and tool use → Software engineering coding agents
- RAGAPHENE: A RAG Annotation Platform with Human Enhancements and EditsRetrieval-augmented generation → Conversational and speech RAG
- Rethinking Reasoning in LLMs: Neuro-Symbolic Local RetoMaton Beyond ICL and CoTLLM reasoning → Reasoning benchmarks and evaluation
- MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-ExpertsMixture-of-experts → MoE large language models
- Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud PlatformsLLM agents and tool use → Software engineering coding agents
- Can VLMs Recall Factual Associations From Visual References?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Consensus Is All You Need: Gossip-Based Reasoning Among Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- PuzzleJAX: A Benchmark for Reasoning and LearningLLM reasoning → Reasoning benchmarks and evaluation
- Autonomous UAV Flight Navigation in Confined Spaces: A Reinforcement Learning ApproachDeep reinforcement learning methods → RL for robot navigation and UAV control
- Anchor-MoE: A Mean-Anchored Mixture of Experts For Probabilistic RegressionMixture-of-experts → MoE theory and gating functions
- Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story GenerationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute ScalingLLM reasoning → Test-time compute and efficient thinking
- WST: Weak-to-Strong Knowledge Transfer via Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Error Reflection Prompting: Can Large Language Models Successfully Understand Errors?LLM reasoning → Prompting and chain-of-thought reasoning
- Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image RetrievalMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- GPT-OSS-20B: A Comprehensive Deployment-Centric Analysis of OpenAI's Open-Weight Mixture of Experts ModelMixture-of-experts → Efficient MoE training and inference systems
- QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret RewritingLLM reasoning → Hallucination detection and mitigation
- MV-RAG: Retrieval Augmented Multiview DiffusionRetrieval-augmented generation → Multimodal RAG +1
- Hierarchical Decision-Making for Autonomous Navigation: Integrating Deep Reinforcement Learning and Fuzzy Logic in Four-Wheel Independent Steering and Driving SystemsEnd-to-end autonomous driving → Reinforcement learning for driving +1
- LLM-Based Agents for Competitive Landscape Mapping in Drug Asset Due DiligenceLLM agents and tool use → Medical and scientific domain agents
- Closer to Reality: Practical Semi-Supervised Federated Learning for Foundation Model AdaptationMixture-of-experts → Federated mixture-of-experts
- Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
- Parameter-Free Logit Distillation via Sorting MechanismKnowledge distillation → General knowledge distillation methods
- Constraints-Guided Diffusion Reasoner for Neuro-Symbolic LearningLLM reasoning → Reasoning benchmarks and evaluation +1
- Guiding Diffusion Models with Reinforcement Learning for Stable Molecule GenerationDiffusion models → Flow matching, time series and science +1
- FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis PipelineLLM reasoning → Mathematical reasoning +1
- Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving SimulationWorld models → World models for autonomous driving +1
- On Zero-Shot Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- HAMSA: Hijacking Aligned Compact Models via Stealthy AutomationLLM safety and security → Jailbreaking
- Benchmarking the Robustness of Agentic Systems to Adversarially-Induced HarmsLLM agents and tool use → Agent threats, guardrails and governance
- Reinforcement Learning-based Control via Y-wise Affine Neural Networks (YANNs)Deep reinforcement learning methods → RL theory and sample complexity
- Modular Embedding Recomposition for Incremental LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Integrated Noise and Safety Management in UAM via A Unified Reinforcement Learning FrameworkDeep reinforcement learning methods → RL for robot navigation and UAV control
- OPERA: A Reinforcement Learning--Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop RetrievalLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language ModelsRetrieval-augmented generation → Privacy and security of RAG +1
- GLARE: Agentic Reasoning for Legal Judgment PredictionLLM reasoning → Reasoning for agents, planning and code +1
- Confusion is the Final Barrier: Rethinking Jailbreak Evaluation and Investigating the Real Misuse Threat of LLMsLLM reasoning → Reasoning for agents, planning and code +1
- ConceptGuard: Neuro-Symbolic Safety Guardrails via Sparse Interpretable Jailbreak ConceptsLLM safety and security → Jailbreaking +1
- OwkinZero: Accelerating Biological Discovery with AILLM reasoning → Clinical and biomedical applications
- Retrieval Enhanced Feedback via In-context Neural Error-bookLLM reasoning → Reasoning benchmarks and evaluation
- A Sharp KL-Convergence Analysis for Diffusion Models under Minimal AssumptionsDiffusion models → Diffusion foundations and sampling
- Do What? Teaching Vision-Language-Action Models to Reject the ImpossibleVision-language-action models → Failure recovery and robustness
- Learning Long-Range Action Representation by Two-Stream Mamba Pyramid Network for Figure Skating AssessmentState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- AgentScope 1.0: A Developer-Centric Framework for Building Agentic ApplicationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Structuring GUI Elements through Vision Language Models: Towards Action Space GenerationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- MCPVerse: An Expansive, Real-World Benchmark for Agentic Tool UseLLM agents and tool use → Tool learning and function calling
- PromptFlare: Prompt-Generalized Defense via Cross-Attention Decoy in Diffusion-Based InpaintingDiffusion models → Robustness, privacy and adversarial aspects
- MedOmni-45deg: A Safety-Performance Benchmark for Reasoning-Oriented LLMs in MedicineLLM reasoning → Clinical and biomedical applications
- OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer ModelsDiffusion models → Diffusion foundations and sampling
- Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token PruningEfficient LLM inference and serving → Fast autoregressive visual generation
- OMHBench: Benchmarking Balanced and Grounded Omni-Modal Multi-Hop ReasoningLLM reasoning → Multimodal reasoning +1
- Seeing is Believing: Emotion-Aware Audio-Visual Language Modeling for Expressive Speech GenerationMultimodal LLMs / vision-language models → Multimodal emotion understanding
- Graph RAG as Human Choice Model: Building a Data-Driven Mobility Agent with Preference ChainLLM agents and tool use → Multimodal and embodied agents
- RAGSR: Regional Attention Guided Diffusion for Image Super-ResolutionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Beyond Human-prompting: Adaptive Prompt Tuning with Semantic Alignment for Anomaly DetectionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- On the Collapse Errors Induced by the Deterministic Sampler for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Memento: Fine-tuning LLM Agents without Fine-tuning LLMsLLM agents and tool use → Agent memory systems
- Evaluating the Defense Potential of Machine Unlearning against Membership Inference AttacksLLM safety and security → Membership inference attacks
- Hierarchical Vision-Language Reasoning for Multimodal Multiple-Choice Question AnsweringLLM reasoning → Multimodal reasoning +1
- CommonKV: Compressing KV Cache with Cross-layer Parameter SharingEfficient LLM inference and serving → KV cache optimization
- Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal ReasoningLLM reasoning → Clinical and biomedical applications +1
- From Indirect Object Identification to Syllogisms: Exploring Binary Mechanisms in Transformer CircuitsMechanistic interpretability → Circuits and mechanistic analysis
- CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle ConsistencyLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- Two-flow Feedback Multi-scale Progressive Generative Adversarial NetworkDiffusion models → Diffusion foundations and sampling
- InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning StylesLLM reasoning → Reasoning for agents, planning and code
- Less Redundancy: Boosting Practicality of Vision Language Model in Walking AssistantsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced ForecastingMechanistic interpretability → Interpreting time-series and weather models
- Expandable Residual Approximation for Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Pareto Actor-Critic for Communication and Computation Co-Optimization in Non-Cooperative Federated Learning ServicesDeep reinforcement learning methods → RL for energy, networks and operations
- Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- X-Troll: eXplainable Detection of State-Sponsored Information Operations AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation
- Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings
- Label Smoothing++: Enhanced Label Regularization for Training Neural Networks
- Towards Log Analysis with AI Agents: Cowrie Case Study
- Predicting Brain Morphogenesis via Physics-Transfer Learning
- Compiling Prompts, Not Crafting Them: A Reproducible Workflow for AI-Assisted Evidence Synthesis
- Leveraging Language Models and Machine Learning in Verbal Autopsy Analysis
- MixGAN: A Hybrid Semi-Supervised and Generative Approach for DDoS Detection in Cloud-Integrated IoT Networks
- Whisper based Cross-Lingual Phoneme Recognition between Vietnamese and English
- Should LLMs be WEIRD? Exploring WEIRDness and Human Rights in Large Language Models
- The Aegis Protocol: A Foundational Security Framework for Autonomous AI Agents
- Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder
- AI LLM Proof of Self-Consciousness and User-Specific Attractors
- A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning-Based Approach
- Federative ischemic stroke segmentation as alternative to overcome domain-shift multi-institution challenges
- H-PRM: A Pluggable Hotword Pre-Retrieval Module for Various Speech Recognition Systems
- MobileDenseAttn:A Dual-Stream Architecture for Accurate and Interpretable Brain Tumor Detection
- Towards Training-Free Underwater 3D Object Detection from Sonar Point Clouds: A Comparison of Traditional and Deep Learning Approaches
- MTalk-Bench: Evaluating Speech-to-Speech Models in Multi-Turn Dialogues via Arena-style and Rubrics Protocols
- Transformer-Based Neural Network for Transient Detection without Image Subtraction
- A Survey of Threats Against Voice Authentication and Anti-Spoofing Systems
- One VLM, Two Roles: Stage-Wise Routing and Specialty-Level Deployment for Clinical Workflows
- If We May De-Presuppose: Robustly Verifying Claims through Presupposition-Free Question Decomposition
- LLMs Learn Constructions That Humans Do Not Know
- Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience
- ReProCon: Scalable and Resource-Efficient Few-Shot Biomedical Named Entity Recognition
All 291
- Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding
- AIM 2025 Low-light RAW Video Denoising Challenge: Dataset, Methods and Results
- Understanding and Tackling Over-Dilution in Graph Neural Networks
- Predictability Enables Parallelization of Nonlinear State Space Models
- Uncertainty Propagation Networks for Neural Ordinary Differential Equations
- Towards Open-Vocabulary Multimodal 3D Object Detection with Attributes
- Exploring the Impact of Generative Artificial Intelligence on Software Development in the IT Sector: Preliminary Findings on Productivity, Efficiency and Job Security
- Bootstrapping Conditional Retrieval for User-to-Item Recommendations
- New Accelerated Past-Extragradient Methods with Variance Reduction for Generalized Equations
- TaDiCodec: Text-aware Diffusion Speech Tokenizer for Speech Language Modeling
- Assess and Prompt: A Generative RL Framework for Improving Engagement in Online Mental Health Communities
- Interpreting the Effects of Quantization on LLMs
- Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data
- Evaluation and LLM-Guided Learning of ICD Coding Rationales
- Latent Graph Learning in Generative Models of Neural Signals
- EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention
- DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs
- Walk-on-Interfaces: A Monte Carlo Estimator for an Elliptic Interface Problem with Nonhomogeneous Flux Jump Conditions and a Neumann Boundary Condition
- Guarding Your Conversations: Privacy Gatekeepers for Secure Interactions with Cloud-Based AI Models
- WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation
- How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models
- GAICo: A Deployed and Extensible Framework for Evaluating Diverse and Multimodal Generative AI Outputs
- A Framework for Benchmarking Fairness-Utility Trade-offs in Text-to-Image Models via Pareto Frontiers
- FairSSL: Fair Multimodal Self-Supervised Learning
- Explainable AI for Predicting and Understanding Mathematics Achievement: A Cross-National Analysis of PISA 2018
- Hyperbolic Multimodal Representation Learning for Biological Taxonomies
- Learning the Language of Histopathology Images reveals Prognostic Subgroups in Invasive Lung Adenocarcinoma Patients
- Two-Stage Framework for Efficient UAV-Based Wildfire Video Analysis with Adaptive Compression and Fire Source Detection
- Deep Learning for Markov Chains: Lyapunov Functions, Poisson's Equation, and Stationary Distributions
- Aligning Distributionally Robust Optimization with Practical Deep Learning Needs
- Analysis of Transferability Estimation Metrics for Surgical Phase Recognition
- From Partial Exchangeability to Predictive Probability: A Bayesian Perspective on Classification
- AI Product Value Assessment Model: An Interdisciplinary Integration Based on Information Theory, Economics, and Psychology
- CelloAI: Leveraging Large Language Models for HPC Software Development in High Energy Physics
- Systematic Characterization of LLM Quantization: A Performance, Energy, and Quality Perspective
- RoboBuddy in the Classroom: Exploring LLM-Powered Social Robots for Storytelling in Learning and Integration Activities
- Assessing Consciousness-Related Behaviors in Large Language Models Using the Maze Test
- ShadowNPU: System and Algorithm Co-design for NPU-Centric On-Device LLM Inference
- A novel auxiliary equation neural networks method for exactly explicit solutions of nonlinear partial differential equations
- Generative Artificial Intelligence and Agents in Research and Teaching
- DecoMind: A Generative AI System for Personalized Interior Design Layouts
- Benchmarking Training Paradigms, Dataset Composition, and Model Scaling for Child ASR in ESPnet
- A Disease-Centric Vision-Language Foundation Model for Precision Oncology in Kidney Cancer
- Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution
- Transfer Learning via Lexical Relatedness: A Sarcasm and Hate Speech Case Study
- Machine Learning Time Propagators for Time-Dependent Density Functional Theory Simulations
- TinyML Towards Industry 4.0: Resource-Efficient Process Monitoring of a Milling Machine
- Enhanced NIRMAL Optimizer With Damped Nesterov Acceleration: A Comparative Analysis
- RL Is Neither a Panacea Nor a Mirage: Understanding Supervised vs. Reinforcement Learning Fine-Tuning for LLMs
- Explainable AI in Deep Learning-Based Prediction of Solar Storms
- Escaping Saddle Points via Curvature-Calibrated Perturbations: A Complete Analysis with Explicit Constants and Empirical Validation
- Quality control in sublinear time: a case study via random graphs
- Towards Open World Detection: A Survey
- Comparative Analysis of UAV Path Planning Algorithms for Efficient Navigation in Urban 3D Environments
- ML-PWS: Estimating the Mutual Information Between Experimental Time Series Using Neural Networks
- MuST2-Learn: Multi-view Spatial-Temporal-Type Learning for Heterogeneous Municipal Service Time Estimation
- Post Hoc Regression Refinement via Pairwise Rankings
- Ensembles of Neural Surrogates for Parametric Sensitivity in Ocean Modeling
- SafeSpace: An Integrated Web Application for Digital Safety and Emotional Well-being
- FraPPE: Fast and Efficient Preference-based Pure Exploration
- Underdamped Langevin MCMC with third order convergence
- Disentangled Multi-modal Learning of Histology and Transcriptomics for Cancer Characterization
- LLM-as-classifier: Semi-Supervised, Iterative Framework for Hierarchical Text Classification using Large Language Models
- NOSTRA: A noise-resilient and sparse data framework for trust region based multi objective Bayesian optimization
- Arbitrary-Scale 3D Gaussian Super-Resolution
- HOSt3R: Keypoint-free Hand-Object 3D Reconstruction from RGB images
- What makes an entity salient in discourse?
- A Probabilistic Inference Scaling Theory for LLM Self-Correction
- Anti-establishment sentiment on TikTok: Implications for understanding influence(rs) and expertise on social media
- Beyond Interpretability: Exploring the Comprehensibility of Adaptive Video Streaming through Large Language Models
- Boardwalk: Towards a Framework for Creating Board Games with LLMs
- PediatricsMQA: a Multi-modal Pediatrics Question Answering Benchmark
- Deep Intrinsic Coregionalization Multi-Output Gaussian Process Surrogate with Active Learning
- HAMSt3R: Human-Aware Multi-view Stereo 3D Reconstruction
- Cetvel: A Unified Benchmark for Evaluating Language Understanding, Generation and Cultural Capacity of LLMs for Turkish
- Decoding MGMT Methylation: A Step Towards Precision Medicine in Glioblastoma
- Hybrid Sequence Modeling and Reinforced Verification for Controllable Target-Conditioned Decision Making
- Can LLMs Find Bugs in Code? An Evaluation from Beginner Errors to Security Vulnerabilities in Python and C++
- NeuroKoop: Neural Koopman Fusion of Structural-Functional Connectomes for Identifying Prenatal Drug Exposure in Adolescents
- SAMFusion: Sensor-Adaptive Multimodal Fusion for 3D Object Detection in Adverse Weather
- RF-Informed Graph Neural Networks for Accurate and Data-Efficient Circuit Performance Prediction
- AetherCode: Evaluating LLMs' Ability to Win In Premier Programming Competitions
- Audio2Face-3D: Audio-driven Realistic Facial Animation For Digital Avatars
- A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection
- Generative artificial intelligence improves projections of climate extremes
- A Large-Scale Benchmark for Evaluating Large Language Models on Medical Question Answering in Romanian
- Sequential Cohort Selection under Uncertainty
- ChatGPT-generated texts show authorship traits that identify them as non-human
- Applications and Challenges of Fairness APIs in Machine Learning Software
- The Mediomatix Corpus: Parallel Data for Romansh Language Varieties via Comparable Schoolbooks
- Attention Mechanism in Randomized Time Warping
- RotaTouille: Rotation Equivariant Deep Learning for Contours
- MizanQA: Benchmarking Large Language Models on Moroccan Legal Question Answering
- Probabilistic Pretraining for Neural Regression
- Causal Beam Selection for Reliable Initial Access in AI-driven Beam Management
- Uppaal Coshy: Automatic Synthesis of Compact Shields for Hybrid Systems
- Unsupervised Online Detection of Pipe Blockages and Leakages in Water Distribution Networks
- Vevo2: A Unified and Controllable Framework for Speech and Singing Voice Generation
- Vision encoders should be image size agnostic and task driven
- Cyber Physical Awareness via Intent-Driven Threat Assessment: Enhanced Space Networks with Intershell Links
- Exploiting Information Redundancy in Attention Maps for Extreme Quantization of Vision Transformers
- JaParaPat: A Large-Scale Japanese-English Parallel Patent Application Corpus
- A Multimodal-Multitask Framework with Cross-modal Relation and Hierarchical Interactive Attention for Semantic Comprehension
- Edge-Native Digitization of Handwritten Marksheets: A Hybrid Heuristic-Deep Learning Framework
- EdgeDoc: Hybrid CNN-Transformer Model for Accurate Forgery Detection and Localization in ID Documents
- Robust Small Methane Plume Segmentation in Satellite Imagery
- The next question after Turing's question: Introducing the Grow-AI test
- IRSAMap:Towards Large-Scale, High-Resolution Land Cover Map Vectorization
- LLMs that Understand Processes: Instruction-tuning for Semantics-Aware Process Mining
- Representation Learning of Auxiliary Concepts for Improved Student Modeling and Exercise Recommendation
- From Confidence to Collapse in LLM Factual Robustness
- M3TQA: Massively Multilingual Multitask Table Question Answering
- On the Evolution of Federated Post-Training Large Language Models: A Model Accessibility View
- Chunked Data Shapley: A Scalable Dataset Quality Assessment for Machine Learning
- FEST: A Unified Framework for Evaluating Synthetic Tabular Data
- Towards Diagnostic Quality Flat-Panel Detector CT Imaging Using Diffusion Models
- Limit-Computable Grains of Truth for Arbitrary Computable Extensive-Form (Un)Known Games
- When Simpler Wins: Facebooks Prophet vs LSTM for Air Pollution Forecasting in Data-Constrained Northern Nigeria
- TULIP: Adapting Open-Source Large Language Models for Underrepresented Languages and Specialized Financial Tasks
- A Reduction of Input/Output Logics to SAT
- EM3M: An Electron Micrograph Dataset for Microstructural Segmentation and Generation
- A XAI-based Framework for Frequency Subband Characterization of Cough Spectrograms in Chronic Respiratory Disease
- PIANO: Physics Informed Autoregressive Network
- FlexMUSE: Multimodal Unification and Semantics Enhancement Framework with Flexible interaction for Creative Writing
- UMATO: Bridging Local and Global Structures for Reliable Visual Analytics with Dimensionality Reduction
- An Investigation of Visual Foundation Models Robustness
- Self-Validated Learning for Particle Separation: A Correctness-Based Self-Training Framework Without Human Labels
- Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media
- Spike Agreement Dependent Plasticity: A scalable Bio-Inspired learning paradigm for Spiking Neural Networks
- Modeling User Preferences as Distributions for Optimal Transport-Based Cross-Domain Recommendation under Non-Overlapping Settings
- Deep learning-enabled virtual multiplexed immunostaining of label-free tissue for vascular invasion assessment
- T-MASK: Temporal Masking for Probing Foundation Models across Camera Views in Driver Monitoring
- Competition and Attraction Improve Model Fusion
- Set Transformer Architectures and Synthetic Data Generation for Flow-Guided Nanoscale Localization
- GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation
- ComicScene154: A Scene Dataset for Comic Analysis
- A Relay-Chain-Powered Ciphertext-Policy Attribute-Based Encryption in Intelligent Transportation Systems
- ParamBench: A Graduate-Level Benchmark for Evaluating LLM Understanding on Indic Subjects
- FTIO: Frequent Temporally Integrated Objects
- LLM-Assisted Semantic Alignment and Integration in Collaborative Model-Based Systems Engineering Using SysML v2
- Motor Imagery EEG Signal Classification Using Minimally Random Convolutional Kernel Transform and Hybrid Deep Learning
- SPL-LNS: Sampling-Enhanced Large Neighborhood Search for Solving Integer Linear Programs
- EGRA:Toward Enhanced Behavior Graphs and Representation Alignment for Multimodal Recommendation
- Investigating Multimodal Large Language Models to Support Usability Evaluation
- STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach
- Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation
- Hardwired-Neurons Language Processing Units as General-Purpose Cognitive Substrates
- Take That for Me: Multimodal Exophora Resolution with Interactive Questioning for Ambiguous Out-of-View Instructions
- High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection
- XLQA: A Benchmark for Locale-Aware Multilingual Open-Domain Question Answering
- 4D Virtual Imaging Platform for Dynamic Joint Assessment via Uni-Plane X-ray and 2D-3D Registration
- Machine Learning in Micromobility: A Systematic Review of Datasets, Techniques, and Applications
- The Fools are Certain; the Wise are Doubtful: Exploring LLM Confidence in Code Completion
- Spacetime-GR: A Spacetime-Aware Generative Model for Large Scale Online POI Recommendation
- Domain Adaptation via Feature Refinement
- Text Takes Over: A Study of Modality Bias in Multimodal Intent Detection
- Lightweight and Fast Real-time Image Enhancement via Decomposition of the Spatial-aware Lookup Tables
- ANSC: Probabilistic Capacity Health Scoring for Datacenter-Scale Reliability
- Extending FKG.in: Towards a Food Claim Traceability Network
- Neural-Network Chemical Emulator for First-Star Formation: Robust Iterative Predictions over a Wide Density Range
- IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra
- Machine Learning for Medicine Must Be Interpretable, Shareable, Reproducible and Accountable by Design
- GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy
- Ensemble learning of pathology foundation models for precision oncology
- On Task Vectors and Gradients
- CEQuest: Benchmarking Large Language Models for Construction Estimation
- Cooperative Design Optimization through Natural Language Interaction
- Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation
- A State-Space Approach to Nonstationary Discriminant Analysis
- From Benchmark Data To Applicable Program Repair: An Experience Report
- Voxel Densification for Serialized 3D Object Detection: Mitigating Sparsity via Pre-serialization Expansion
- Training a Foundation Model for Materials on a Budget
- Ethical Considerations of Large Language Models in Game Playing
- Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals
- Urban Comfort Assessment in the Era of Digital Planning: A Multidimensional, Data-driven, and AI-assisted Framework
- Generative Foundation Model for Structured and Unstructured Electronic Health Records
- MMAPG: A Training-Free Framework for Multimodal Multi-hop Question Answering via Adaptive Planning Graphs
- OpenWHO: A Document-Level Parallel Corpus for Health Translation in Low-Resource Languages
- Enhanced predictions of the Madden-Julian oscillation using the FuXi-S2S machine learning model: Insights into physical mechanisms
- Time Series Based Network Intrusion Detection using MTF-Aided Transformer
- Wavelet-Enhanced PaDiM for Industrial Anomaly Detection
- CoFE: A Framework Generating Counterfactual ECG for Explainable Cardiac AI-Diagnostics
- CoVeRaP: Cooperative Vehicular Perception through mmWave FMCW Radars
- NeuralMeshing: Complete Object Mesh Extraction from Casual Captures
- Breaking Barriers in Software Testing: The Power of AI-Driven Automation
- Wavelet-Space Representations for Neural Super-Resolution in Rendering Pipelines
- DRespNeT: A UAV Dataset and YOLOv8-DRN Model for Aerial Instance Segmentation of Building Access Points for Post-Earthquake Search-and-Rescue Missions
- Tessellation Groups, Harmonic Analysis on Non-compact Symmetric Spaces and the Heat Kernel in view of Cartan Convolutional Neural Networks
- Political Ideology Shifts in Large Language Models
- FIRE-GNN: Force-informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties
- HePGA: A Heterogeneous Processing-in-Memory based GNN Training Accelerator