Papers
Fri 28 Nov 2025
308 papers
- ChunkNorris: A High-Performance and Low-Energy Approach to PDF Parsing and ChunkingRetrieval-augmented generation → Multimodal RAG
- Autonomous QA Agent: A Retrieval-Augmented Framework for Reliable Selenium Script GenerationRetrieval-augmented generation → RAG pipeline design and evaluation +1
- Distillation-based Scenario-Adaptive Mixture-of-Experts for the Matching Stage of Multi-scenario RecommendationMixture-of-experts → MoE for recommender systems
- Reasoning in Action: MCTS-Driven Knowledge Retrieval for Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- Learning Evolving Latent Strategies for Multi-Agent Language Systems without Model Fine-TuningLLM agents and tool use → General LLM agent frameworks and benchmarks
- A Modular LLM-Agent System for Transparent Multi-Parameter Weather InterpretationLLM agents and tool use → Financial trading and forecasting agents
- Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability DetectionRetrieval-augmented generation → Privacy and security of RAG
- LegalWebAgent: Empowering Access to Justice via LLM-Based Web AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Alleviating Choice Supportive Bias in LLM with Reasoning Dependency GenerationLLM reasoning → Reasoning benchmarks and evaluation
- Watermarks for Embeddings-as-a-Service Large Language ModelsLLM safety and security → Watermarking generated content and models
- Risk-Entropic Flow MatchingDiffusion models → Flow matching, time series and science
- A Hierarchical Hybrid AI Approach: Integrating Deep Reinforcement Learning and Scripted Agents in Combat SimulationsDeep reinforcement learning methods → RL for games and combinatorial optimization
- Optimizing Information Asset Investment Strategies in the Exploratory Phase of the Oil and Gas Industry: A Reinforcement Learning ApproachDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Reasoning Under Pressure: How do Training Incentives Influence Chain-of-Thought Monitorability?LLM reasoning → Prompting and chain-of-thought reasoning
- Demystifying Errors in LLM Reasoning Traces: An Empirical Study of Code Execution SimulationLLM reasoning → Reasoning for agents, planning and code
- Towards Corpus-Grounded Agentic LLMs for Multilingual Grammatical AnalysisLLM agents and tool use → General LLM agent frameworks and benchmarks
- ReactionMamba: Generating Short & Long Human Reaction SequencesState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Measuring What LLMs Think They Do: SHAP Faithfulness and Deployability on Financial Tabular ClassificationLLM reasoning → Reasoning for agents, planning and code
- Generating Verifiable Chain of Thoughts from Exection-TracesLLM reasoning → Reasoning for agents, planning and code
- RadDiff: Retrieval-Augmented Denoising Diffusion for Protein Inverse FoldingRetrieval-augmented generation → Medical and biomedical RAG +1
- Video-R2: Reinforcing Consistent and Grounded Reasoning in Multimodal Language ModelsLLM reasoning → Multimodal reasoning +1
- Video-CoM: Interactive Video Reasoning via Chain of ManipulationsLLM reasoning → Multimodal reasoning +1
- Thinking by Doing: Building Efficient World Model Reasoning in LLMs via Multi-turn InteractionWorld models → World models for language agents +1
- Visual Generation TuningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- SmallWorlds: Assessing Dynamics Understanding of World Models in Isolated EnvironmentsWorld models → Latent predictive world models
- ASTRO: Adaptive Stitching via Dynamics-Guided Trajectory RolloutsOffline RL and imitation learning from data → Offline RL algorithms +1
- Towards Continuous Intelligence Growth: Self-Training, Continual Learning, and Dual-Scale Memory in SuperIntelliAgentDiffusion models → Discrete and text diffusion +3
- Hunyuan-GameCraft-2: Instruction-following Interactive Game World ModelWorld models → Video-generation world models and simulators
- MegaChat: A Synthetic Persian Q&A Dataset for High-Quality Sales Chatbot EvaluationRetrieval-augmented generation → Agentic RAG, agents and memory
- FedSGT: Exact Federated Unlearning via Sequential Group-based TrainingLLM safety and security → Federated unlearning and poisoning
- Ambiguity Awareness Optimization: Towards Semantic Disambiguation for Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Hierarchical AI-Meteorologist: LLM-Agent System for Multi-Scale and Explainable Weather Forecast ReportingLLM agents and tool use → Financial trading and forecasting agents
- DEAL-300K: Diffusion-based Editing Area Localization with a 300K-Scale Dataset and Frequency-Prompted BaselineDiffusion models → Image generation, text-to-image and editing
- Optimizing Multimodal Language Models through Attention-based InterpretabilityMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Towards Improving Interpretability of Language Model Generation through a Structured Knowledge Discovery ApproachMechanistic interpretability → Knowledge and representations inside LLMs
- Toward Automatic Safe Driving Instruction: A Large-Scale Vision Language Model ApproachMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Multi-Modal Scene Graph with Kolmogorov-Arnold Experts for Audio-Visual Question AnsweringMixture-of-experts → Multimodal MoE models
- MCP vs RAG vs NLWeb vs HTML: A Comparison of the Effectiveness and Efficiency of Different Agent Interfaces to the Web (Technical Report)LLM agents and tool use → Web, search, and research agents
- Auditable Context-Aware HFMD Forecasting with Structured LLM AgentsLLM agents and tool use → Financial trading and forecasting agents
- OctoMed: Data Recipes for State-of-the-Art Multimodal Medical ReasoningLLM reasoning → Clinical and biomedical applications
- Adapting Like Humans: A Metacognitive Agent with Test-time ReasoningLLM reasoning → Test-time compute and efficient thinking +2
- AgroCoT: A Chain-of-Thought Benchmark for Evaluating Reasoning in Vision-Language Models for AgricultureLLM reasoning → Clinical and biomedical applications +1
- Unlocking Multilingual Reasoning Capability of LLMs and LVLMs through Representation EngineeringLLM reasoning → Reasoning benchmarks and evaluation +2
- Pathryoshka: Compressing Pathology Foundation Models via Multi-Teacher Knowledge Distillation with Nested EmbeddingsKnowledge distillation → Distillation for medical imaging
- Obstruction reasoning for robotic graspingLLM reasoning → Spatial and embodied reasoning
- Listwise Preference Optimization with Element-wise Confusions for Aspect Sentiment Quad PredictionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Are LLMs Good Safety Agents or a Propaganda Engine?LLM safety and security → Safety alignment, refusal and guardrails
- PowerCLIP: Powerset Alignment for Contrastive Pre-TrainingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- InstanceV: Instance-Level Video GenerationDiffusion models → Video generation
- Multi-chain Graph Refinement and Selection for Reliable Reasoning in Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- DualCamCtrl: Dual-Branch Diffusion Model for Geometry-Aware Camera-Controlled Video GenerationDiffusion models → Video generation
- db-SP: Accelerating Sparse Attention for Visual Generative Models with Dual-Balanced Sequence ParallelismDiffusion models → Video generation
- MathSight: A Benchmark Exploring Have Vision-Language Models Really Seen in University-Level Mathematical Reasoning?LLM reasoning → Multimodal reasoning +1
- NumeriKontrol: Adding Numeric Control to Diffusion Transformers for Instruction-based Image EditingDiffusion models → Image generation, text-to-image and editing
- Does Self-Evaluation Enable Wireheading in Language Models?LLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- SpaceMind: Camera-Guided Modality Fusion for Spatial Reasoning in Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- Conveying Imagistic Thinking in Traditional Chinese Medicine Translation: A Prompt Engineering and LLM-Based Evaluation FrameworkLLM reasoning → Clinical and biomedical applications
- MindPower: Enabling Theory-of-Mind Reasoning in VLM-based Embodied AgentsLLM agents and tool use → Multimodal and embodied agents
- GOATex: Geometry & Occlusion-Aware TexturingDiffusion models → 3D, point cloud and scene generation
- LatBot: Distilling Universal Latent Actions for Vision-Language-Action ModelsVision-language-action models → Human-video and latent-action pretraining
- From Illusion to Intention: Visual Rationale Learning for Vision-Language ReasoningLLM reasoning → Multimodal reasoning
- Masked Diffusion for Generative RecommendationDiffusion models → Diffusion recommenders
- JarvisEvo: Towards a Self-Evolving Photo Editing Agent with Synergistic Editor-Evaluator OptimizationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- TIM-PRM: Verifying multimodal reasoning with Tool-Integrated PRMLLM reasoning → Multimodal reasoning +1
- Guiding Visual Autoregressive Models through Spectrum WeakeningDiffusion models → Image generation, text-to-image and editing
- McSc: Motion-Corrective Preference Alignment for Video Generation with Self-Critic Hierarchical ReasoningLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- BIFE: Better Interaction, Fewer Errors for Minute-Long Video GenerationWorld models → Video-generation world models and simulators +1
- Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact MatchEfficient LLM inference and serving → Speculative decoding
- HMR3D: Hierarchical Multimodal Representation for 3D Scene Understanding with Large Vision-Language ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Visual Puns from Idioms: An Iterative LLM-T2IM-MLLM FrameworkMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- One-to-All Animation: Alignment-Free Character Animation and Image Pose TransferDiffusion models → Video generation
- Robust Image Self-Recovery against Tampering using Watermark Generation with Pixel ShufflingLLM safety and security → Watermarking generated content and models
- Artwork Interpretation with Vision Language Models: A Case Study on Emotions and Emotion SymbolsMultimodal LLMs / vision-language models → Multimodal emotion understanding
- Seeing before Observable: Potential Risk Reasoning in Autonomous Driving via Vision Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Language-conditioned world model improves policy generalization by reading environmental descriptionsWorld models → World models for language agents
- Leveraging Textual Compositional Reasoning for Robust Change CaptioningLLM reasoning → Multimodal reasoning
- From Points to Clouds: Learning Robust Semantic Distributions for Multi-modal PromptsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- ORION: Teaching Language Models to Reason Efficiently in the Language of ThoughtLLM reasoning → Test-time compute and efficient thinking
- Adversarial Training for Process Reward ModelsLLM reasoning → Reinforcement learning for reasoning +1
- InsightEval: An Expert-Curated Benchmark for Assessing Insight Discovery in LLM-Driven Data AgentsLLM agents and tool use → Web, search, and research agents
- Serving Heterogeneous LoRA Adapters in Distributed LLM Inference SystemsEfficient LLM inference and serving → Serving systems and request scheduling
- Scalable Diffusion Transformer for Conditional 4D fMRI SynthesisDiffusion models → Medical imaging and segmentation
- SUPER-AD: Semantic Uncertainty-aware Planning for End-to-End Robust Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- RAG System for Supporting Japanese Litigation Procedures: Faithful Response Generation Complying with Legal NormsRetrieval-augmented generation → Legal and financial RAG
- CRAwDAD: Causal Reasoning Augmentation with Dual-Agent DebateLLM reasoning → Causal reasoning in LLMs +1
- Resolving Evidence Sparsity: Agentic Context Engineering for Long-Document UnderstandingLLM agents and tool use → Multimodal and embodied agents
- PerfMamba: Performance Analysis and Pruning of Selective State Space ModelsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Some Modalities are More Equal Than Others: Decoding and Architecting Multimodal Integration in MLLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Chained Prompting for Better Systematic Review Search Strategies
- STELLAR: Structure-guided LLM Assertion Retrieval and Generation for Formal Verification
- Finetuning Large Language Models for Automated Depression Screening in Nigerian Pidgin English: GENSCORE Pilot Study
- Proceedings of the 20th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2025)
- Efficient Asynchronous Federated Evaluation with Strategy Similarity Awareness for Intent-Based Networking in Industrial Internet of Things
- Learning to Prioritize IT Tickets: A Comparative Evaluation of Embedding-based Approaches and Fine-Tuned Transformer Models
- Context-Aware Detection and Victim-Centered Response Generation for Online Harassment in Private Messaging
- Writing in Symbiosis: Mapping Human Creative Agency in the AI Era
- IoTEdu: Access Control, Detection, and Automatic Incident Response in Academic IoT Networks
- Banach neural operator for Navier-Stokes equations
- ORCA: Open-ended Response Correctness Assessment for Audio Question Answering
- Multivariate time series prediction using clustered echo state network
All 308
- Resolving Conflicts in Lifelong Learning via Aligning Updates in Subspaces
- EEG-Bench: A Benchmark for EEG Foundation Models in Clinical Applications
- LUMOS: Large User MOdels for User Behavior Prediction
- DW-KNN: A Transparent Local Classifier Integrating Distance Consistency and Neighbor Reliability
- LLM4XCE: Large Language Models for Extremely Large-Scale Massive MIMO Channel Estimation
- An Electrocardiogram Multi-task Benchmark with Comprehensive Evaluations and Insightful Findings
- SimClinician: A Multimodal Simulation Testbed for Reliable Psychologist AI Collaboration in Mental Health Diagnosis
- Learning When to Ask: Simulation-Trained Humanoids for Mental-Health Diagnosis
- ByteStorm: a multi-step data-driven approach for Tropical Cyclones detection and tracking
- GSPN-2: Efficient Parallel Sequence Modeling
- Poincar'e Meets Bellman: Revisable Memory, Operational Quotients, and Evidence-Supported Learning in Changing Environments
- A self-driving lab for solution-processed electrochromic thin films
- VG3T: Visual Geometry Grounded Gaussian Transformer
- Adaptive Dataset Quantization: A New Direction for Dataset Pruning
- Breaking Scale Anchoring: Frequency Representation Learning for Accurate High-Resolution Inference from Low-Resolution Training
- AREA3D: Active Reconstruction Agent with Unified Feed-Forward 3D Perception and Vision-Language Guidance
- Responsible LLM Deployment for High-Stake Decisions by Decentralized Technologies and Human-AI Interactions
- Rethinking AI Evaluation in Education: The TEACH-AI Framework and Benchmark for Generative AI Assistants
- Calibrating Geophysical Predictions under Constrained Probabilistic Distributions
- AtomDisc: An Atom-level Tokenizer that Boosts Molecular LLMs and Reveals Structure--Property Associations
- From 'What-is' to 'What-if' in Human-Factor Analysis: A Post-Occupancy Evaluation Case
- Misalignment of LLM-Generated Personas with Human Perceptions in Low-Resource Settings
- Opening the Black Box: An Explainable, Few-shot AI4E Framework Informed by Physics and Expert Knowledge for Materials Engineering
- SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in IoT Networks
- Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves
- Self-Supervised Dynamical System Representations for Physiological Time-Series
- OmniFusion: Simultaneous Multilingual Multimodal Translations via Modular Fusion
- CodeFlowLM: Incremental Just-In-Time Defect Prediction with Pretrained Language Models and Exploratory Insights into Defect Localization
- TIE: A Training-Inversion-Exclusion Framework for Visually Interpretable and Uncertainty-Guided Out-of-Distribution Detection
- DenseScan: Advancing 3D Scene Understanding with 2D Dense Annotation
- Statistical Inference under Adaptive Sampling with LinUCB
- Minimal-Edit Instruction Tuning for Low-Resource Indic GEC
- On the Prediction of Wi-Fi Performance through Deep Learning
- Constructing Efficient Fact-Storing MLPs for Transformers
- Tree Matching Networks for Natural Language Inference: Parameter-Efficient Semantic Understanding via Dependency Parse Trees
- Beyond Expected Goals: A Probabilistic Framework for Shot Occurrences in Soccer
- Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting
- Emergent Riemannian geometry over learning discrete computations on continuous manifolds
- AutocleanEEG ICVision: Automated ICA Artifact Classification Using Vision-Language AI
- A Rosetta Stone for AI Benchmarks
- Hybrid Context-Fusion Attention (CFA) U-Net and Clustering for Robust Seismic Horizon Interpretation
- Chunking Strategies for Multimodal AI Systems
- Orion-Bix: Bi-Axial Attention for Tabular In-Context Learning
- Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems
- Comparing Two Proxy Methods for Causal Identification
- We Still Don't Understand High-Dimensional Bayesian Optimization
- Tuning Universality in Deep Neural Networks
- Faster Verified Explanations for Neural Networks
- DeFi TrustBoost: Blockchain and AI for Trustworthy Decentralized Financial Decisions
- Ternary-Input Binary-Weight CNN Accelerator Design for Miniature Object Classification System with Query-Driven Spatial DVS
- Asm2SrcEval: Evaluating Large Language Models for Assembly-to-Source Code Translation
- Local and Global Context-and-Object-part-Aware Superpixel-based Data Augmentation for Deep Visual Recognition
- Analysis of Invasive Breast Cancer in Mammograms Using YOLO, Explainability, and Domain Adaptation
- Hybrid Synthetic Data Generation with Domain Randomization Enables Zero-Shot Vision-Based Part Inspection Under Extreme Class Imbalance
- AnyTalker: Scaling Multi-Person Talking Video Generation with Interactivity Refinement
- ThetaEvolve: Test-time Learning on Open Problems
- The Price of Progress: Price Performance and the Future of AI
- Object-Centric Data Synthesis for Category-level Object Detection
- Physics-Informed Neural Networks for Thermophysical Property Retrieval
- Provable Benefits of Sinusoidal Activation for Modular Addition
- Accelerated Execution of Bayesian Neural Networks using a Single Probabilistic Forward Pass and Code Generation
- DisMo: Disentangled Motion Representations for Open-World Motion Transfer
- Evaluating LLMs for One-Shot Patching of Real and Artificial Vulnerabilities
- MANTA: Physics-Informed Generalized Underwater Object Tracking
- LFM2 Technical Report
- Quantized-Tinyllava: a new multimodal foundation model enables efficient split learning
- Learning-Augmented Online Bipartite Matching in the Random Arrival Order Model
- VQRAE: Representation Quantization Autoencoders for Multimodal Understanding, Generation and Reconstruction
- Is Passive Expertise-Based Personalization Enough? A Case Study in AI-Assisted Test-Taking
- Scaling HuBERT for African Languages: From Base to Large and XL
- SimScale: Learning to Drive via Real-World Simulation at Scale
- Agentic AI Framework for Smart Inventory Replenishment
- A Hierarchical Computer Vision Pipeline for Physiological Data Extraction from Bedside Monitors
- Distributed Dynamic Associative Memory via Online Convex Optimization
- Overcoming the Curvature Bottleneck in MeanFlow
- ParaGate: Parasitic-Driven Domain Adaptation Transfer Learning for Netlist Performance Prediction
- Markovian Scale Prediction: A New Era of Visual Autoregressive Generation
- UniGeoSeg: Towards Unified Open-World Segmentation for Geospatial Scenes
- A Perceptually Inspired Variational Framework for Color Enhancement
- Tackling a Challenging Corpus for Early Detection of Gambling Disorder: UNSL at MentalRiskES 2025
- Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models
- Emergent Coordination and Phase Structure in Independent Multi-Agent Reinforcement Learning
- Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards
- Hard-Constrained Neural Networks with Physics-Embedded Architecture for Residual Dynamics Learning and Invariant Enforcement in Cyber-Physical Systems
- FACT-GS: Frequency-Aligned Complexity-Aware Texture Reparameterization for 2D Gaussian Splatting
- Machine Learning for Scientific Visualization: Ensemble Data Analysis
- Transformer-Driven Triple Fusion Framework for Enhanced Multimodal Author Intent Classification in Low-Resource Bangla
- Closing the Generalization Gap in Parameter-efficient Federated Edge Learning
- Simultaneous Image Quality Improvement and Artefacts Correction in Accelerated MRI
- Learning a Single Token to Replace Long System Prompts in LLMs
- BanglaSentNet: An Explainable Hybrid Deep Learning Framework for Multi-Aspect Sentiment Analysis with Cross-Domain Transfer Learning
- An Improved and Generalised Analysis for Spectral Clustering
- Time Series Forecasting via Direct Per-Step Probability Distribution Modeling
- Robust HRRP Recognition under Interrupted Sampling Repeater Jamming using a Prior Jamming Information-Guided Network
- One-Shot Secure Aggregation: A Hybrid Cryptographic Protocol for Private Federated Learning in IoT
- Learning to Predict Aboveground Biomass from RGB Images with 3D Synthetic Scenes
- Heteroscedastic Neural Networks for Path Loss Prediction with Link-Specific Uncertainty
- Synthetic Industrial Object Detection: GenAI vs. Feature-Based Methods
- Towards Understanding Transformers in Learning Random Walks
- SDE-Attention: Latent Attention in SDE-RNNs for Irregularly Sampled Time Series with Missing Data
- Tourism Question Answer System in Indian Language using Domain-Adapted Foundation Models
- Action-guided generation of 3D functionality segmentation data
- PointCNN++: Performant Convolution on Native Points
- TWEO: Transformers Without Extreme Outliers Enables FP8 Training And Quantization For Dummies
- Nonstabilizerness Estimation using Graph Neural Networks
- DAONet-YOLOv8: An Occlusion-Aware Dual-Attention Network for Tea Leaf Pest and Disease Detection
- Robust 3DGS-based SLAM via Adaptive Kernel Smoothing
- Instruction Tuning of Large Language Models for Tabular Data Generation-in One Day
- Zero-Shot Multi-Criteria Visual Quality Inspection for Semi-Controlled Industrial Environments via Real-Time 3D Digital Twin Simulation
- Asymptotic Theory and Phase Transitions for Variable Importance in Quantile Regression Forests
- A PLS-Integrated LASSO Method with Application in Index Tracking
- GAVINA: flexible aggressive undervolting for bit-serial mixed-precision DNN acceleration
- Vision Bridge Transformer at Scale
- Clustering Malware at Scale: A First Full-Benchmark Study
- Fault-Tolerant MARL for CAVs under Observation Perturbations for Highway On-Ramp Merging
- GeoWorld: Providing Full-frame Geometry Features to Facilitate 3D Scene Generation
- Identification of Malicious Posts on the Dark Web Using Supervised Machine Learning
- Fast Multi-view Consistent 3D Editing with Video Priors
- Energy-Efficient Vision Transformer Inference for Edge-AI Deployment
- Estimating the Event-Related Potential from Few EEG Trials
- AI for software engineering: from probable to provable
- REVEAL: Reasoning-Enhanced Forensic Evidence Analysis for Explainable AI-Generated Image Detection
- A Differentiable Measure of Algebraic Complexity: Provably Exact Discovery of Group Structures
- Learning to Refuse: Refusal-Aware Reinforcement Fine-Tuning for Hard-Irrelevant Queries in Video Temporal Grounding
- Cascaded Robust Rectification for Arbitrary Document Images
- Peer-to-Peer Energy Trading in Dairy Farms using Multi-Agent Reinforcement Learning
- Automated Generation of MDPs Using Logic Programming and LLMs for Robotic Applications
- Adapting Neural Audio Codecs to EEG
- Automated Discovery of Laser Dicing Processes with Bayesian Optimization for Semiconductor Manufacturing
- Strategies to Minimize Out-of-Distribution Effects in Data-Driven MRS Quantification
- DNA-Prior: Unsupervised Denoise Anything via Dual-Domain Prior
- Evolutionary Discovery of Heuristic Policies for Traffic Signal Control
- Freeze, Diffuse, Decode: Task-Aware Adaptation of Transformer Embeddings for Antimicrobial Peptide Design
- Dripper: Token-Efficient Main HTML Extraction with a Lightweight LM
- Machine learning for violence prediction: a systematic review and critical appraisal
- Analyzing Image Beyond Visual Aspect: Image Emotion Classification via Multiple-Affective Captioning
- Mind Reading or Misreading? LLMs on the Big Five Personality Test
- Fairness in the Multi-Secretary Problem
- Accent Placement Models for Rigvedic Sanskrit Text
- Spectral Concentration at the Edge of Stability: Information Geometry of Kernel Associative Memory
- Implementation of a Skin Lesion Detection System for Managing Children with Atopic Dermatitis Based on Ensemble Learning
- Constraining dark matter halo profiles with symbolic regression
- What If They Took the Shot? A Hierarchical Bayesian Framework for Counterfactual Expected Goals
- Bharat Scene Text: A Novel Comprehensive Dataset and Benchmark for Indian Language Scene Text Understanding
- Buffer replay enhances the robustness of multimodal learning under missing-modality
- Evaluating the Clinical Impact of Generative Inpainting on Bone Age Estimation
- Standard Occupation Classifier -- A Natural Language Processing Approach
- Decoding the Past: Explainable Machine Learning Models for Dating Historical Texts
- Image Valuation in NeRF-based 3D reconstruction
- Geometry-Consistent 4D Gaussian Splatting for Sparse-Input Dynamic View Synthesis
- High-Resolution Probabilistic Data-Driven Weather Modeling with a Stretched-Grid
- Social Perceptions of English Spelling Variation on Twitter: A Comparative Analysis of Human and LLM Responses
- Time Extrapolation with Graph Convolutional Autoencoder and Tensor Train Decomposition
- Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring
- DiskChunGS: Large-Scale 3D Gaussian SLAM Through Chunk-Based Memory Management
- Geodiffussr: Generative Terrain Texturing with Elevation Fidelity
- Adaptive Factor Graph-Based Tightly Coupled GNSS/IMU Fusion for Robust Positionin
- Maritime Activities Observed Through Open-Access Positioning Data: Moving and Stationary Vessels in the Baltic Sea
- A transfer learning approach for automatic conflicts detection in software requirement sentence pairs based on dual encoders
- A Modular Framework for Rapidly Building Intrusion Predictors
- MrGS: Multi-modal Radiance Fields with 3D Gaussian Splatting for RGB-Thermal Novel View Synthesis
- Optimizer Sensitivity In Vision Transformerbased Iris Recognition: Adamw Vs Sgd Vs Rmsprop
- MIMM-X: Disentangling Spurious Correlations for Medical Image Analysis
- MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generation
- Convolutional Feature Noise Reduction for 2D Cardiac MR Image Segmentation
- Ovis-Image Technical Report
- ShoppingComp: Are LLMs Really Ready for Your Shopping Cart?
- Pooling Attention: Evaluating Pretrained Transformer Embeddings for Deception Classification
- Taming the Light: Illumination-Invariant Semantic 3DGS-SLAM
- Commanding Humanoid by Free-form Language: A Large Language Action Model with Unified Motion Vocabulary
- A Trainable Centrality Framework for Modern Data
- Contrastive Heliophysical Image Pretraining for Solar Dynamics Observatory Records
- Experts are all you need: A Composable Framework for Large Language Model Inference
- RobotSeg: A Model and Dataset for Segmenting Robots in Image and Video
- Do We Need Perfect Data? Leveraging Noise for Domain Generalized Segmentation
- Bandit Guided Submodular Curriculum for Adaptive Subset Selection
- DenoiseGS: Gaussian Reconstruction Model for Burst Denoising
- CORGI: GNNs with Convolutional Residual Global Interactions for Lagrangian Simulation
- Barcode and QR Code Object Detection: An Experimental Study on YOLOv8 Models
- EnECG: Efficient Ensemble Learning for Electrocardiogram Multi-task Foundation Model
- NeuMatC: A General Neural Framework for Fast Parametric Matrix Operation
- MAS-Shield: A Defense Framework for Secure and Efficient LLM MAS
- Optical diffraction neural networks assisted computational ghost imaging through dynamic scattering media
- MICCAI STS 2024 Challenge: Semi-Supervised Instance-Level Tooth Segmentation in Panoramic X-ray and CBCT Images
- ViGG: Robust RGB-D Point Cloud Registration using Visual-Geometric Mutual Guidance
- See, Rank, and Filter: Important Word-Aware Clip Filtering via Scene Understanding for Moment Retrieval and Highlight Detection
- DM3T: Harmonizing Modalities via Diffusion for Multi-Object Tracking
- Switching-time bioprocess control with pulse-width-modulated optogenetics
- ClearGCD: Mitigating Shortcut Learning For Robust Generalized Category Discovery
- Modeling Chaotic Pedestrian Behavior Using Chaos Indicators and Supervised Learning
- FEANEL: A Benchmark for Fine-Grained Error Analysis in K-12 English Writing
- Normalizing Flows on Quotient Manifolds via Boundary Quotients
- CNN-Based Framework for Pedestrian Age and Gender Classification Using Far-View Surveillance in Mixed-Traffic Intersections
- JBE-QA: Japanese Bar Exam QA Dataset for Assessing Legal Domain Knowledge
- ARM-Explainer -- Explaining and improving graph neural network predictions for the maximum clique problem using node features and association rule mining
- CoordSpeaker: Exploiting Gesture Captioning for Coordinated Caption-Empowered Co-Speech Gesture Generation
- Bridging Modalities via Progressive Re-alignment for Multimodal Test-Time Adaptation
- Escaping Barren Plateaus in Variational Quantum Algorithms Using Negative Learning Rate in Quantum Internet of Things
- MARVO: Marine-Adaptive Radiance-aware Visual Odometry
- GLOW: Global Illumination-Aware Inverse Rendering of Indoor Scenes Captured with Dynamic Co-Located Light & Camera
- TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE
- Breaking the Visual Shortcuts in Multimodal Knowledge-Based Visual Question Answering
- CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal Machine Learning
- Fast dynamical similarity analysis
- A Unified and Stable Risk Minimization Framework for Weakly Supervised Learning with Theoretical Guarantees
- Resolving Sharp Gradients of Unstable Singularities to Machine Precision via Neural Networks
- Mitigating Semantic Drift: Evaluating LLMs' Efficacy in Psychotherapy through MI Dialogue Summarization
- Captain Safari: A World Engine with Pose-Aligned 3D Memory