Papers
Wed 25 Mar 2026
426 papers
- A Deep Reinforcement Learning (DRL)-Based Transformer Method for Solving the Open Shop Scheduling ProblemDeep reinforcement learning methods → RL for energy, networks and operations
- Learning from Mistakes: Can LLM Self-Recover after Misalignment?LLM safety and security → Safety alignment, refusal and guardrails
- ThermoQA: A Three-Tier Benchmark for Evaluating Thermodynamic Reasoning in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Tug-of-War within A Decade: Conflict Resolution in Vulnerability Analysis via Teacher-Guided Retrieval-Augmented GenerationsRetrieval-augmented generation → Privacy and security of RAG
- Stateful Evidence-Driven Retrieval-Augmented Generation with Iterative ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Chronological Knowledge Retrieval: A Retrieval-Augmented Generation Approach to Construction Project DocumentationRetrieval-augmented generation → RAG pipeline design and evaluation
- Generating High Quality Synthetic Data for Dutch Medical ConversationsSynthetic data and self-improvement for LLMs → Medical synthetic data and agents
- Elucidating the Design Space of Flow Matching for Cellular MicroscopyDiffusion models → Flow matching, time series and science
- A Step Toward Federated Pretraining of Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- HighlightBench: Benchmarking Markup-Driven Table Reasoning in Scientific DocumentsLLM reasoning → Multimodal reasoning
- Can We Change the Stroke Size for Easier Diffusion?Diffusion models → Diffusion foundations and sampling
- Limits of Spatial Imagery Reasoning in Frontier LLM ModelsLLM reasoning → Spatial and embodied reasoning
- TED: Training-Free Experience Distillation for Multimodal ReasoningLLM reasoning → Multimodal reasoning +1
- A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation LearningDiffusion models → Diffusion foundations and sampling
- Learning to Staff: Offline Reinforcement Learning and Fine-Tuned LLMs for Warehouse Staffing OptimizationOffline RL and imitation learning from data → Offline RL algorithms
- OptiSAR-Net++: A Large-Scale Benchmark and Transformer-Free Framework for Cross-Domain Remote Sensing Visual GroundingMixture-of-experts → Vision mixture-of-experts
- How Far Are Vision-Language Models from Constructing the Real World? A Benchmark for Physical Generative ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Context-Mediated Domain Adaptation in Multi-Agent Sensemaking SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified PerspectiveLLM safety and security → Backdoor and data poisoning attacks
- Gaze patterns predict preference and confidence in pairwise AI image evaluationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- NeuroVLM-Bench: Evaluation of Vision-Enabled Large Language Models for Clinical Reasoning in Neurological DisordersLLM reasoning → Clinical and biomedical applications +1
- Reaching Beyond the Mode: RL for Distributional Reasoning in Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Prune as You Generate: Online Rollout Pruning for Faster and Better RLVRLLM reasoning → Reinforcement learning for reasoning
- DCARL: A Divide-and-Conquer Framework for Autoregressive Long-Trajectory Video GenerationWorld models → Video-generation world models and simulators +1
- Unified Diffusion Refinement for Multi-Channel Speech Enhancement and SeparationDiffusion models → Audio, speech and music
- FODMP: Fast One-Step Diffusion of Movement Primitives Generation for Time-Dependent Robot ActionsDiffusion models → Diffusion and flow policies for robotics
- GoldiCLIP: The Goldilocks Approach for Balancing Explicit Supervision for Language-Image PretrainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Calibri: Enhancing Diffusion Transformers via Parameter-Efficient CalibrationDiffusion models → Diffusion foundations and sampling
- ReLope: KL-Regularized LoRA Probes for Multimodal LLM RoutingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2ALLM agents and tool use → Agent threats, guardrails and governance
- Supervising Ralph Wiggum: Exploring a Metacognitive Co-Regulation Agentic AI Loop for Engineering DesignLLM agents and tool use → General LLM agent frameworks and benchmarks
- Synthetic Cardiac MRI Image Generation using Deep Generative ModelsDiffusion models → Medical imaging and segmentation
- SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative TasksLLM agents and tool use → Software engineering coding agents
- Formal Semantics for Agentic Tool Protocols: A Process Calculus ApproachLLM agents and tool use → Tool learning and function calling
- Decentralized Task Scheduling in Distributed Systems: A Deep Reinforcement Learning ApproachDeep reinforcement learning methods → RL for energy, networks and operations
- AutoSAM: an Agentic Framework for Automating Input File Generation for the SAM Code with Multi-Modal Retrieval-Augmented GenerationRetrieval-augmented generation → RAG for code +1
- Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language ModelsLLM reasoning → Spatial and embodied reasoning
- Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated RewardsSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- LLaVA-LE: Large Language-and-Vision Assistant for Lunar ExplorationLLM reasoning → Spatial and embodied reasoning +1
- ReDiPrune: Relevance-Diversity Pre-Projection Token Pruning for Efficient Multimodal LLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- When Is Collective Intelligence a Lottery? Multi-Agent Scaling Laws for Memetic Drift in LLMsLLM agents and tool use → Social simulation and multi-agent debate
- From Weights to Concepts: Data-Free Interpretability of CLIP via Singular Vector DecompositionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearchLLM agents and tool use → General LLM agent frameworks and benchmarks
- Experiential Reflective Learning for Self-Improving LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Coherence Collapse: Diagnosing Why Code Agents Fail After Reaching the Right CodeLLM agents and tool use → Software engineering coding agents
- Sketch2Simulation: Automating Flowsheet Generation via Multi Agent Large Language ModelsLLM agents and tool use → Medical and scientific domain agents
- Polynomial Speedup in Diffusion Models with the Multilevel Euler-Maruyama MethodDiffusion models → Diffusion foundations and sampling
- DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous DrivingWorld models → World models for autonomous driving +3
- TAG: Target-Agnostic Guidance for Stable Object-Centric Inference in Vision-Language-Action ModelsVision-language-action models → Failure recovery and robustness
- The Stochastic Gap: A Markovian Framework for Pre-Deployment Reliability and Oversight-Cost Auditing in Agentic Artificial IntelligenceLLM agents and tool use → Software engineering coding agents
- Latent-WAM: Latent World Action Modeling for End-to-End Autonomous DrivingWorld models → World models for autonomous driving +1
- Retrieval Improvements Do Not Guarantee Better Answers: A Study of RAG for AI Policy QARetrieval-augmented generation → Legal and financial RAG
- MARCH: Multi-Agent Reinforced Self-Check for LLM HallucinationRetrieval-augmented generation → Hallucination detection in RAG +1
- Evaluating Vision-Language Models for Image Quality Assessment using Psychophysical DataMultimodal LLMs / vision-language models → Image editing and quality assessment
- Anti-I2V: Safeguarding your photos from malicious image-to-video generationDiffusion models → Robustness, privacy and adversarial aspects
- LensWalk: Agentic Video Understanding by Planning How You See in VideosMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- Evaluating Chunking Strategies For Retrieval-Augmented Generation in Oil and Gas Enterprise DocumentsRetrieval-augmented generation → Multimodal RAG
- Analysing the Safety Pitfalls of Steering VectorsLLM safety and security → Safety alignment, refusal and guardrails +1
- SEGAR: Selective Enhancement for Generative Augmented RealityWorld models → Video-generation world models and simulators
- UI-Voyager: A Self-Evolving GUI Agent Learning via Failed ExperienceLLM agents and tool use → GUI and mobile agents +1
- Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot ClassificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- TuneShift-KD: Knowledge Distillation and Transfer for Fine-tuned ModelsKnowledge distillation → Knowledge distillation for LLMs
- AVO: Agentic Variation Operators for Autonomous Evolutionary SearchLLM agents and tool use → General LLM agent frameworks and benchmarks
- Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMsLLM safety and security → Prompt injection and agent security
- Toward Physically Consistent Driving Video World Models under Challenging TrajectoriesWorld models → World models for autonomous driving +1
- Reflected diffusion models adapt to low-dimensional dataDiffusion models → Diffusion foundations and sampling
- Video-Only ToM: Enhancing Theory of Mind in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Multi-Agent Reasoning with Consistency Verification Improves Uncertainty Calibration in Medical MCQALLM reasoning → Clinical and biomedical applications +1
- Composer 2 Technical ReportLLM agents and tool use → Software engineering coding agents
- Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?LLM reasoning → Prompting and chain-of-thought reasoning +1
- MechMath: Sorrifier-Driven Formal Decomposition Workflow for Automated Theorem ProvingLLM agents and tool use → Educational agents and math problem solving
- Unleashing Vision-Language Semantics for Deepfake Video DetectionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- CUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use AgentsLLM agents and tool use → GUI and mobile agents
- Marchuk: Efficient Global Weather Forecasting from Mid-Range to Sub-Seasonal Scales via Flow MatchingDiffusion models → Flow matching, time series and science
- OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search FrameworkKnowledge distillation → On-policy and self-distillation for LLMs
- Teacher-Student Diffusion Model for Text-Driven 3D Hand Motion GenerationDiffusion models → Diffusion and flow policies for robotics +1
- AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World ModelWorld models → World models for language agents
- 3D-Mix for VLA: A Plug-and-Play Module for Integrating VGGT-based 3D Information into Vision-Language-Action ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- ViHOI: Human-Object Interaction Synthesis with Visual PriorsDiffusion models → Video generation
- Towards Reward Modeling for AI Tutors in Math Mistake RemediationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- PP-OCRv5: A Specialized 5M-Parameter Model Rivaling Billion-Parameter Vision-Language Models on OCR TasksMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- LATS: Large Language Model Assisted Teacher-Student Framework for Multi-Agent Reinforcement Learning in Traffic Signal ControlLLM agents and tool use → Multimodal and embodied agents
- GameplayQA: A Benchmarking Framework for Decision-Dense POV-Synced Multi-Video Understanding of 3D Virtual AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Boosting Document Parsing Efficiency and Performance with Coarse-to-Fine Visual ProcessingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- RS-SSM: Refining Forgotten Specifics in State Space Model for Video Semantic SegmentationState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- The Specification Gap: Coordination Failure Under Partial Knowledge in Code AgentsLLM agents and tool use → Software engineering coding agents
- Language-Assisted Image Clustering Guided by Discriminative Relational Signals and Adaptive Semantic CentersMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ScrollScape: Unlocking 32K Image Generation With Video Diffusion PriorsDiffusion models → Video generation
- Accelerating Diffusion-based Video Editing via Heterogeneous Caching: Beyond Full Computing at Sampled Denoising TimestepDiffusion models → Video generation
- Memory-Augmented Vision-Language Agents for Persistent and Semantically Consistent Object CaptioningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- B-MoE: A Body-Part-Aware Mixture-of-Experts "All Parts Matter" Approach to Micro-Action RecognitionMixture-of-experts → MoE in reinforcement learning and robotics
- C-STEP: Continuous Space-Time Empowerment for Physics-informed Safe Reinforcement Learning of Mobile AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Decentralized End-to-End Multi-AAV Pursuit Using Predictive Spatio-Temporal Observation via Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- RVLM: Recursive Vision-Language Models with Adaptive DepthMultimodal LLMs / vision-language models → Medical vision-language models
- Environment-Grounded Multi-Agent Workflow for Autonomous Penetration TestingLLM agents and tool use → Agent threats, guardrails and governance
- Who Benefits from RAG? The Role of Exposure, Utility and Attribution BiasRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Uncovering Memorization in Timeseries Imputation models: LBRM Membership Inference and its link to attribute LeakageLLM safety and security → Membership inference attacks
- Powerful Teachers Matter: Text-Guided Multi-view Knowledge Distillation with Visual Prior EnhancementKnowledge distillation → Multimodal distillation
- Invisible Threats from Model Context Protocol: Generating Stealthy Injection Payload via Tree-based Adaptive SearchLLM agents and tool use → Agent threats, guardrails and governance
All 426
- A Deep Dive into Scaling RL for Code Generation with Synthetic Data and CurriculaSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- RefReward-SR: LR-Conditioned Reward Modeling for Preference-Aligned Super-ResolutionLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Unlocking Few-Shot Capabilities in LVLMs via Prompt Conditioning and Head SelectionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- CarePilot: A Multi-Agent Framework for Long-Horizon Computer Task Automation in HealthcareLLM agents and tool use → Medical and scientific domain agents
- Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake DetectionDeep reinforcement learning methods → Deep RL algorithms and representations
- Efficient Controller Learning from Human Preferences and Numerical Data Via Multi-Modal Surrogate ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- The Alignment Tax: Response Homogenization in Aligned LLMs and Its Implications for Uncertainty EstimationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- LGTM: Training-Free Light-Guided Text-to-Image Diffusion Model via Initial Noise ManipulationDiffusion models → Image generation, text-to-image and editing
- Knowledge-Guided Manipulation Using Multi-Task Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation ParadigmMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Enhanced Mycelium of Thought (EMoT): A Bio-Inspired Hierarchical Reasoning Architecture with Strategic Dormancy and Mnemonic EncodingLLM reasoning → Prompting and chain-of-thought reasoning
- RoboHarness: A Memory-Augmented Policy Harness for Vision-Language-Action Model Robustness via In-Context AdaptationVision-language-action models → Reinforcement learning and post-training
- Mitigating Object Hallucinations in LVLMs via Attention Imbalance RectificationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Beyond Semantic Priors: Mitigating Optimization Collapse for Generalizable Visual ForensicsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- FinToolSyn: A forward synthesis Framework for Financial Tool-Use Dialogue Data with Dynamic Tool RetrievalLLM agents and tool use → Financial trading and forecasting agents
- PCHC: Enabling Preference Conditioned Humanoid Control via Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- MoE-Sieve: Routing-Guided LoRA for Efficient MoE Fine-TuningMixture-of-experts → Mixture of LoRA experts
- HAM: A Training-Free Style Transfer Approach via Heterogeneous Attention Modulation for Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- From Oracle to Noisy Context: Mitigating Contextual Exposure Bias in Speech-LLMsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- ELITE: Experiential Learning and Intent-Aware Transfer for Self-improving Embodied AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- Language-Grounded Multi-Agent Planning for Personalized and Fair Participatory Urban SensingLLM agents and tool use → Multimodal and embodied agents
- CVPD at QIAS 2026: RAG-Guided LLM Reasoning for Al-Mawarith Share Computation and Heir AllocationLLM reasoning → Reasoning for agents, planning and code
- Thinking with Tables: Enhancing Multi-Modal Tabular Understanding via Neuro-Symbolic ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- CoCR-RAG: Enhancing Retrieval-Augmented Generation in Web Q&A via Concept-oriented Context ReconstructionRetrieval-augmented generation → RAG pipeline design and evaluation
- Grounding Arabic LLMs in the Doha Historical Dictionary: Retrieval-Augmented Understanding of Quran and HadithRetrieval-augmented generation → RAG robustness and adaptive retrieval
- The Price Reversal Phenomenon: When Cheaper Reasoning Models Cost MoreLLM reasoning → Test-time compute and efficient thinking
- From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning EnvironmentsLLM agents and tool use → Reinforcement learning for LLM agents +1
- Towards Energy-aware Requirements Dependency Classification: Knowledge-Graph vs. Vector-Retrieval Augmented Inference with SLMsRetrieval-augmented generation → RAG pipeline design and evaluation
- From AI Assistant to AI Scientist: Autonomous Discovery of LLM-RL Algorithms with LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Revealing Multi-View Hallucination in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Optimal Variance-Dependent Regret Bounds for Infinite-Horizon MDPsDeep reinforcement learning methods → RL theory and sample complexity
- DP^2-VL: Private Photo Dataset Protection by Data Poisoning for Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient DecodingMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Self-Distillation for Multi-Token PredictionKnowledge distillation → Knowledge distillation for LLMs
- AnalogAgent: Self-Improving Analog Circuit Design Automation with LLM AgentsLLM agents and tool use → Software engineering coding agents +2
- DUPLEX: Agentic Dual-System Planning via LLM-Driven Information ExtractionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Latent Bias Alignment for High-Fidelity Diffusion Inversion in Real-World Image Reconstruction and ManipulationDiffusion models → Inverse problems and image restoration
- Off-Policy Safe Reinforcement Learning with Constrained Optimistic ExplorationDeep reinforcement learning methods → Safe and constrained RL
- Towards Real-World Document Parsing via Realistic Scene Synthesis and Document-Aware TrainingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Self-Evolving Multi-Agent Framework for Efficient Decision Making in Real-Time Strategy ScenariosLLM agents and tool use → Reinforcement learning for LLM agents
- The DeepXube Software Package for Solving Pathfinding Problems with Learned Heuristic Functions and SearchDeep reinforcement learning methods → RL for robot navigation and UAV control
- HDPO: Hybrid Distillation Policy Optimization via Privileged Self-DistillationLLM reasoning → Reinforcement learning for reasoning +1
- Can VLMs Reason Robustly? A Neuro-Symbolic InvestigationLLM reasoning → Multimodal reasoning +1
- See, Remember, Explore: A Benchmark and Baselines for Streaming Spatial ReasoningLLM reasoning → Spatial and embodied reasoning
- SCoOP: Semantic Consistent Opinion Pooling for Uncertainty Quantification in Multiple Vision-Language Model SystemsLLM reasoning → Hallucination detection and mitigation +1
- BeliefShift: Benchmarking Temporal Belief Consistency and Opinion Drift in LLM AgentsLLM agents and tool use → Social simulation and multi-agent debate
- 3D-LLDM: Label-Guided 3D Latent Diffusion Model for Improving High-Resolution Synthetic MR Imaging in Hepatic Structure SegmentationDiffusion models → Medical imaging and segmentation
- Language Models as Higher-Order Planning FormalizersLLM reasoning → Reasoning for agents, planning and code
- VehicleMemBench: An Executable Benchmark for Multi-User Long-Term Memory in In-Vehicle AgentsLLM agents and tool use → Agent memory systems
- Willful Disobedience: Automatically Detecting Failures in Agentic TracesLLM agents and tool use → Software engineering coding agents
- How are AI agents used? Evidence from 177,000 MCP toolsLLM agents and tool use → Tool learning and function calling
- Tokka-Bench: Evaluating Tokenizers Across 100 Natural and 20 Programming Languages
- Position Paper: Post-Solve Robustness in Decision Engines: Feasible Regions and Smoothness Under Perturbations
- Lightweight Multimodal LLM-Enabled Cost-Effective Defect Grading of Power Transmission Equipment
- FaceParts: Segmentation and Editing of Gaussian Splatting
- Realiz3D: 3D Generation Made Photorealistic via Domain-Aware Learning
- WhatsApp Vaccine Discourse (WhaVax): An Expert-Annotated Dataset and Benchmark for Health Misinformation Detection
- Secure On-Premise Deployment of Open-Weights Large Language Models in Radiology: An Isolation-First Architecture with Prospective Pilot Evaluation
- Inference Headroom Ratio: A Diagnostic and Control Framework for Inference Stability Under Constraint
- Automated Detection of Dosing Errors in Clinical Trial Narratives: A Multi-Modal Feature Engineering Approach with LightGBM
- LiFT: How to Enable In-Context Learning for Longitudinal Modelling
- Data Mixing for Large Language Models Pretraining: A Survey and Outlook
- LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains
- The Devil Is in Gradient Entanglement: Energy-Aware Gradient Coordinator for Robust Generalized Category Discovery
- Correcting Suppressed Log-Probabilities in Language Models with Post-Transformer Adapters
- Benchmarking Linguistic Adaptation in Comparable-Sized LLMs: A Study of Llama-3.1-8B, Mistral-7B-v0.1, and Qwen3-8B on Romanized Nepali
- QuanBench+: A Unified Multi-Framework Benchmark for LLM-Based Quantum Code Generation
- Memory-Guided Trust-Region Bayesian Optimization (MG-TuRBO) for High Dimensions
- Toward Full Autonomous Laboratory Instrumentation Control with Large Language Models
- Transformers for Program Termination
- Isomorphic Functionalities between Ant Colony and Ensemble Learning: Part II-On the Strength of Weak Learnability and the Boosting Paradigm
- GaloisSAT: Differentiable Boolean Satisfiability Solving via Finite Field Algebra
- Robust Batch-Level Query Routing for Large Language Models under Cost and Capacity Constraints
- HASS: Hierarchical Simulation of Logopenic Aphasic Speech for Scalable PPA Detection
- PhyDCM: A Reproducible Open-Source Framework for AI-Assisted Brain Tumor Classification from Multi-Sequence MRI
- A Firefly Algorithm for Mixed-Variable Optimization Based on Hybrid Distance Modeling
- Crystal: Characterizing Relative Impact of Scholarly Publications
- Confidence Matters: Uncertainty Quantification and Precision Assessment of Deep Learning-based CMR Biomarker Estimates Using Scan-rescan Data
- ReMemNav: Memory-Based Decision Correction and Target Verification for Zero-Shot Object Navigation
- Brain-Inspired Multimodal Spiking Neural Network for Image-Text Retrieval
- Beyond Benchmarks: A Framework for Post Deployment Validation of CT Lung Nodule Detection AI
- Multiverse: Language-Conditioned Multi-Game Level Blending via Shared Representation
- Efficient Encrypted Computation in Convolutional Spiking Neural Networks with TFHE
- RatSeizure: A Benchmark and Saliency-Context Transformer for Rat Seizure Localization
- KANEL: Kolmogorov-Arnold Network Ensemble Learning Enables Early Hit Enrichment in High-Throughput Virtual Screening
- More Than "Means to an End": Supporting Reasoning with Transparently Designed AI Data Science Processes
- SentinelAI: A Multi-Agent Framework for Structuring and Linking NG9-1-1 Emergency Incident Data
- Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts
- Towards automatic smoke detector inspection: Recognition of the smoke detectors in industrial facilities and preparation for future drone integration
- CORA: Generalizable coronary artery disease assessment and risk stratification from coronary CT angiography using pathology-centric representation learning
- WAFT-Stereo: Warping-Alone Field Transforms for Stereo Matching
- Robust Matrix Estimation with Side Information
- Flow matching on homogeneous spaces
- A Practical Guide Towards Interpreting Time-Series Deep Clinical Predictive Models: A Reproducibility Study
- Synthetic Rewriting as a Quality Multiplier: Evidence from Portuguese Continued Pretraining
- Learning From Developers: Towards Reliable Patch Validation at Scale for Linux
- Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Counting
- Attention-based Pin Site Image Classification in Orthopaedic Patients with External Fixators
- Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driven Analysis
- Enhancing Structured Meaning Representations with Aspect Classification
- AVControl: Efficient Framework for Training Audio-Visual Controls
- Local learning for stable backpropagation-free neural network training towards physical learning
- Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback
- From Untestable to Testable: Metamorphic Testing in the Age of LLMs
- Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset
- Identifiable Deep Latent Variable Models for MNAR Data
- DRoPS: Dynamic 3D Reconstruction of Pre-Scanned Objects
- Fine-Tuning A Large Language Model for Systematic Review Screening
- Enhancing Online Support Group Formation Using Topic Modeling Techniques
- Binary Expansion Group Intersection Network
- Light Cones For Vision: Simple Causal Priors For Visual Hierarchy
- Autotuning T-PaiNN: Enabling Data-Efficient GNN Interatomic Potential Development via Classical-to-Quantum Transfer Learning
- Pseudo Label NCF for Sparse OHC Recommendation: Dual Representation Learning and the Separability Accuracy Trade off
- TIGeR: A Unified Framework for Time, Images and Geo-location Retrieval
- Grokking as a Falsifiable Finite-Size Transition
- Contrastive Learning Boosts Deterministic and Generative Models for Weather Data
- Trust or Check? Understanding the (Evolutionary) Dynamics of User Trust in AI Systems
- OpenCap Monocular: 3D Human Kinematics and Musculoskeletal Dynamics from a Single Smartphone Video
- A Framework for Generating Semantically Ambiguous Images to Probe Human and Machine Perception
- Confidence-Based Mesh Extraction from 3D Gaussians
- Is Geometry Enough? An Evaluation of Landmark-Based Gaze Estimation
- Accurate Point Measurement in 3DGS -- A New Alternative to Traditional Stereoscopic-View Based Measurements
- Can an Actor-Critic Optimization Framework Improve Analog Design?
- Lookalike3D: Seeing Double in 3D
- Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks
- Conformal Selective Prediction with General Risk Control
- Amplified Patch-Level Differential Privacy for Free via Random Cropping
- Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses
- BCMDA: Bidirectional Correlation Maps Domain Adaptation for Mixed Domain Semi-Supervised Medical Image Segmentation
- UniICL: Systematizing Unified Multimodal In-context Learning through a Capability-Oriented Taxonomy
- KitchenTwin: Semantically and Geometrically Grounded 3D Kitchen Digital Twins
- Spectral methods: crucial for machine learning, natural for quantum computers?
- Demystifying When Pruning Works via Representation Hierarchies
- When Consistency Becomes Bias: Interviewer Effects in Semi-Structured Clinical Interviews
- MedOpenClaw and MedFlowBench: Auditing Medical Agents in Full-Study Workflows
- Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things via Selective Cooperative Aggregation
- Physics-Informed Neural Network Digital Twin for Dynamic Tray-Wise Modeling of Distillation Columns under Transient Operating Conditions
- Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks
- How unconstrained machine-learning models learn physical symmetries
- DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph
- Dual-Graph Multi-Agent Reinforcement Learning for Handover Optimization
- A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data
- Comparing Developer and LLM Biases in Code Evaluation
- EndoVGGT: GNN-Enhanced Depth Estimation for Surgical 3D Reconstruction
- Chameleon: Control-Indexed Prospective Memory for Visuomotor Manipulation
- VFIG: Vectorizing Complex Figures in SVG with Vision-Language Models
- Completeness of Unbounded Best-First Minimax and Descent Minimax
- Towards Training-Free Scene Text Editing
- POLY-SIM: Polyglot Speaker Identification with Missing Modality Grand Challenge 2026 Evaluation Plan
- Trust Region Constrained Bayesian Optimization with Penalized Constraint Handling
- Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction
- The Free-Market Algorithm: Self-Organizing Optimization for Open-Ended Complex Systems
- The role of spatial context and multitask learning in the detection of organic and conventional farming systems based on Sentinel-2 time series
- A Sociolinguistic Analysis of Automatic Speech Recognition Bias in Newcastle English
- Detection of local geometry in random graphs: information-theoretic and computational limits
- CliPPER: Contextual Video-Language Pretraining on Long-form Intraoperative Surgical Procedures for Event Recognition
- Robust Multilingual Text-to-Pictogram Mapping for Scalable Reading Rehabilitation
- Representation Learning to Study Temporal Dynamics in Tutorial Scaffolding
- From Liar Paradox to Incongruent Sets: A Normal Form for Self-Reference
- No Single Metric Tells the Whole Story: A Multi-Dimensional Evaluation Framework for Uncertainty Attributions
- Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling
- Project and Generate: Divergence-Free Neural Operators for Incompressible Flows
- Uniform Laws of Large Numbers in Product Spaces
- Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories
- Conformalized Transfer Learning for Li-ion Battery State of Health Forecasting under Manufacturing and Usage Variability
- Counting Without Numbers and Finding Without Words
- OmniWeaving: Towards Unified Video Generation with Free-form Composition and Reasoning
- Integrating Causal Machine Learning into Clinical Decision Support Systems: Insights from Literature and Practice
- Enes Causal Discovery
- The Gait Signature of Frailty: Transfer Learning based Deep Gait Models for Scalable Frailty Assessment
- What and When to Learn: CURriculum Ranking Loss for Large-Scale Speaker Verification
- Learning Response-Statistic Shifts and Parametric Roll Episodes from Wave--Vessel Time Series via LSTM Functional Models
- Continuous-Time Learning of Probability Distributions: A Case Study in a Digital Trial of Young Children with Type 1 Diabetes
- ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers
- Pingala: Prosody-Aware Decoding for Sanskrit Poetry Generation
- Real Talk, Virtual Faces: Symbolic-Semantic Discourse Geometry of Virtual and Human Influencer Audiences
- Neural Network Models for Contextual Regression
- Exploring How Fair Model Representations Relate to Fair Recommendations
- Federated fairness-aware classification under differential privacy
- When AI Meets Early Childhood Education: Large Language Models as Assessment Teammates in Chinese Preschools
- Causal Transfer in Medical Image Analysis
- On the Use of Bagging for Local Intrinsic Dimensionality Estimation
- MolEvolve: LLM-Guided Evolutionary Search for Interpretable Molecular Optimization
- GeoRouter: Dynamic Paradigm Routing for Worldwide Image Geolocalization
- Improving Lean4 Autoformalization via Cycle Consistency Fine-tuning
- Adaptive decision-making for stochastic service network design
- CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control
- A Neuro-Symbolic System for Interpretable Multimodal Physiological Signals Integration in Human Fatigue Detection
- Language-Guided Structure-Aware Network for Camouflaged Object Detection
- Evidence of an Emergent "Self" in Continual Robot Learning
- Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & Neuroplasticity Mechanisms
- Notes on Forr'e's Notion of Conditional Independence and Causal Calculus for Continuous Variables
- Le MuMo JEPA: Multi-Modal Self-Supervised Representation Learning with Learnable Fusion Tokens
- Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machine Learning
- Heuristic Self-Paced Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
- Toward Generalist Neural Motion Planners for Robotic Manipulators: Challenges and Opportunities
- Refining time-space traffic diagrams: A neighborhood-adaptive linear regression method
- Samas=amayik: A Parallel Dataset for Hindi-Sanskrit Machine Translation
- CGRL: Causal-Guided Representation Learning for Node-Level Out-of-Distribution Generalization
- SpinGQE: A Generative Quantum Eigensolver for Spin Hamiltonians
- AMIF: Authorizable Medical Image Fusion Model with Built-in Authentication
- VERIA: Verification-Centric Multimodal Instance Augmentation for Long-Tailed 3D Object Detection
- Cost-Sensitive Neighborhood Aggregation for Heterophilous Graphs: When Does Per-Edge Routing Help?
- Bridging Biological Hearing and Neuromorphic Computing: End-to-End Time-Domain Audio Signal Processing with Reservoir Computing
- TopoMesh: High-Fidelity Mesh Autoencoding via Topological Unification
- DeepDTF: Dual-Branch Transformer Fusion for Multi-Omics Anticancer Drug Response Prediction
- Forecasting with Guidance: Representation-Level Supervision for Time Series Forecasting
- Semantic Alignment across Ancient Egyptian Language Stages via Normalization-Aware Multitask Learning
- Beyond Static Uncertainty: Modeling Temporal Uncertainty Dynamics for Probabilistic Time Series Forecasting
- Semantic Centroids and Hierarchical Density-Based Clustering for Cross-Document Software Coreference Resolution
- Optimizing Multilingual LLMs via Federated Learning: A Study of Client Language Composition
- InstanceRSR: Real-World Super-Resolution via Instance-Aware Representation Alignment
- DVM: A Bytecode Virtual Machine Approach for Dynamic Tensor Computation
- Attack Assessment and Augmented Identity Recognition for Human Skeleton Data
- When Annotators Agree but Labels Disagree: The Projection Problem in Stance Detection
- Identification of NMF by choosing maximum-volume basis vectors
- UniScale: Synergistic Entire Space Data and Model Scaling for Search Ranking
- Variation is the Norm: Embracing Sociolinguistics in NLP
- Where Do Your Citations Come From? Citation-Constellation: A Free, Open-Source, No-Code, and Auditable Tool for Citation Network Decomposition with Complementary BARON and HEROCON Scores
- HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directional Alignment and Adversarial Knowledge Transfer
- IPatch: A Multi-Resolution Transformer Architecture for Robust Time-Series Forecasting
- Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks
- TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs
- Modeling Spatiotemporal Neural Frames for High Resolution Brain Dynamic
- Walma: Learning to See Memory Corruption in WebAssembly
- Heuristic-inspired Reasoning Priors Facilitate Data-Efficient Referring Object Detection
- A convergent Plug-and-Play Majorization-Minimization algorithm for Poisson inverse problems
- A visual observation on the geometry of UMAP projections of the difference vectors of antonym and synonym word pair embeddings
- LightSplat: Fast and Memory-Efficient Open-Vocabulary 3D Scene Understanding in Five Seconds
- Linear-Nonlinear Fusion Neural Operator for Partial Differential Equations
- Spectral Scalpel: Amplifying Adjacent Action Discrepancy via Frequency-Selective Filtering for Skeleton-Based Action Segmentation
- MedAidDialog: A Multilingual Multi-Turn Medical Dialogue Dataset for Accessible Healthcare
- Reservoir-Based Graph Convolutional Networks
- On Gossip Algorithms for Machine Learning with Pairwise Objectives
- Likelihood Hacking in Probabilistic Program Synthesis
- Alignment Reduces Expressed but Not Encoded Gender Bias: A Unified Framework and Study
- Combi-CAM: A Novel Multi-Layer Approach for Explainable Image Geolocalization
- Retinal Layer Segmentation in OCT Images With 2.5D Cross-slice Feature Fusion Module for Glaucoma Assessment
- Mixed-signal implementation of feedback-control optimizer for single-layer Spiking Neural Networks
- Toward a Multi-Layer ML-Based Security Framework for Industrial IoT
- Comparative analysis of dual-form networks for live land monitoring using multi-modal satellite image time series
- Granular Ball Guided Stable Latent Domain Discovery for Domain-General Crowd Counting
- Causality-Driven Disentangled Representation Learning in Multiplex Graphs
- KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits
- LaDy: Lagrangian-Dynamic Informed Network for Skeleton-based Action Segmentation via Spatial-Temporal Modulation
- Towards Effective Experiential Learning: Dual Guidance for Utilization and Internalization
- Bridging the Evaluation Gap: Standardized Benchmarks for Multi-Objective Search
- LLMpedia: A Transparent Framework to Materialize an LLM's Encyclopedic Knowledge at Scale
- PosterIQ: A Design Perspective Benchmark for Poster Understanding and Generation
- The impact of sensor placement on graph-neural-network-based leakage detection
- ConceptKT: A Benchmark for Concept-Level Deficiency Prediction in Knowledge Tracing
- AD-Reasoning: Multimodal Guideline-Guided Reasoning for Alzheimer's Disease Diagnosis
- Hierarchical Spatial-Temporal Graph-Enhanced Model for Map-Matching
- LGEST: Dynamic Spatial-Spectral Expert Routing for Hyperspectral Image Classification
- Minimal Sufficient Representations for Self-interpretable Deep Neural Networks
- SemLayer: Semantic-aware Generative Segmentation and Layer Construction for Abstract Icons
- A3: Towards Advertising Aesthetic Assessment
- SpectralSplats: Robust Differentiable Tracking via Spectral Moment Supervision
- SRG: Score-based Relaxation-guided Generation for Mixed Integer Linear Programming
- Decompose and Transfer: CoT-Prompting Enhanced Alignment for Open-Vocabulary Temporal Action Detection
- i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data
- Schema on the Inside: A Two-Phase Fine-Tuning Method for High-Efficiency Text-to-SQL at Scale
- COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm
- UW-VOS: A Large-Scale Dataset for Underwater Video Object Segmentation
- DB SwinT: A Dual-Branch Swin Transformer Network for Road Extraction in Optical Remote Sensing Imagery
- Stochastic Dimension Zeroth-Order Estimator: Stable and Memory-Efficient Training of PINNs
- Sparse Growing Transformer: Training-Time Sparse Depth Allocation via Progressive Attention Looping
- HGGT: Robust and Flexible 3D Hand Mesh Reconstruction from Uncalibrated Images
- Understanding the Challenges in Iterative Generative Optimization with LLMs
- From Untamed Black Box to Interpretable Pedagogical Orchestration: The Ensemble of Specialized LLMs Architecture for Adaptive Tutoring
- CAKE: Real-time Action Detection via Motion Distillation and Background-aware Contrastive Learning
- Can we generate portable representations for clinical time series data using LLMs?
- Diet Your LLM: Dimension-wise Global Pruning of LLMs via Merging Task-specific Importance Score
- Transcending Classical Neural Network Boundaries: A Quantum-Classical Synergistic Paradigm for Seismic Data Processing
- SafeFlow: Real-Time Text-Driven Humanoid Whole-Body Control via Physics-Guided Rectified Flow and Selective Safety Gating
- Circuit-Inspired High-Order Neural Networks with Unified Neural Dynamics Modeling for PDE Solving and Visual Perception
- SilLang: Improving Gait Recognition with Silhouette Language Encoding
- HyDRA: Hybrid Domain-Aware Robust Architecture for Heterogeneous Collaborative Perception
- Machine vision with small numbers of detected photons per inference
- SLAT-Phys: Fast Material Property Field Prediction from Structured 3D Latents
- Wireless communication empowers online scheduling of partially-observable transportation multi-robot systems in a smart factory
- Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage
- GRMLR: Knowledge-Enhanced Small-Data Learning for Deep-Sea Cold Seep Stage Inference
- Leave No Stone Unturned: Uncovering Holistic Audio-Visual Intrinsic Coherence for Deepfake Detection
- PointRFT: Explicit Reinforcement Fine-tuning for Point Cloud Few-shot Learning
- SynMVCrowd: A Large Synthetic Benchmark for Multi-view Crowd Counting and Localization
- VOLMO: Versatile and Open Large Models for Ophthalmology
- Argument Mining as a Text-to-Text Generation Task
- Variable-Length Audio Fingerprinting
- ChargeFlow: Flow-Matching Refinement of Charge-Conditioned Electron Densities
- High-Fidelity Face Content Recovery via Tamper-Resilient Versatile Watermarking
- OmniACBench: A Benchmark for Evaluating Context-Grounded Acoustic Control in Omni-Modal Models
- Dialogue to Question Generation for Evidence-based Medical Guideline Agent Development
- ORACLE: Orchestrate NPC Daily Activities using Contrastive Learning with Transformer-CVAE
- DepthArb: Training-Free Depth-Arbitrated Generation for Occlusion-Robust Image Synthesis
- Elements of Conformal Prediction
- Uncertainty-Aware Vision-based Risk Object Identification via Conformal Risk Tube Prediction
- DecepGPT: Schema-Driven Deception Detection with Multicultural Datasets and Robust Multimodal Learning
- GenMask: Adapting DiT for Segmentation via Direct Mask Generation
- Knowledge-Refined Dual Context-Aware Network for Partially Relevant Video Retrieval
- SM-Net: Learning a Continuous Spectral Manifold from Multiple Stellar Libraries
- MMTIT-Bench: A Multilingual and Multi-Scenario Benchmark with Cognition-Perception-Reasoning Guided Text-Image Machine Translation
- FilterGS: Traversal-Free Parallel Filtering and Adaptive Shrinking for Large-Scale LoD 3D Gaussian Splatting
- Praxium: Diagnosing Cloud Anomalies with AI-based Telemetry and Dependency Analysis
- AgentChemist: A Multi-Agent Experimental Robotic Platform Integrating Chemical Perception and Precise Control
- BioVITA: Biological Dataset, Model, and Benchmark for Visual-Textual-Acoustic Alignment
- The Luna Bound Propagator for Formal Analysis of Neural Networks
- EnvSocial-Diff: A Diffusion-Based Crowd Simulation Model with Environmental Conditioning and Individual-Group Interaction
- MLE-UVAD: Minimal Latent Entropy Autoencoder for Fully Unsupervised Video Anomaly Detection
- Generative AI User Experience: Developing Human--AI Epistemic Partnership
- Deep Convolutional Neural Networks for predicting highest priority functional group in organic molecules
- An Invariant Compiler for Neural ODEs in AI-Accelerated Scientific Simulation
- Why the Maximum Second Derivative of Activations Matters for Adversarial Robustness
- When AI output tips to bad but nobody notices: Legal implications of AI's mistakes
- Symbolic--KAN: Kolmogorov-Arnold Networks with Discrete Symbolic Structure for Interpretable Learning
- PoliticsBench: Benchmarking Political Values in Large Language Models with Multi-Turn Roleplay
- Learning-guided Prioritized Planning for Lifelong Multi-Agent Path Finding in Warehouse Automation
- Beyond Consistency: Inference for the Relative risk functional in Deep Nonparametric Cox Models
- Unveiling Hidden Convexity in Deep Learning: a Sparse Signal Processing Perspective
- Circuit Complexity of Hierarchical Knowledge Tracing and Implications for Log-Precision Transformers
- How Vulnerable Are Edge LLMs?
- Perturbation: A simple and efficient adversarial tracer for representation learning in language models
- Deep Neural Regression Collapse
- Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection
- Resolving gradient pathology in physics-informed epidemiological models
- Infrequent Child-Directed Speech Is Bursty and May Draw Infant Vocalizations