Papers
Tue 2 Dec 2025
366 papers
- Virtual Parameter Sharpening: Dynamic Low-Rank Perturbations for Inference-Time Reasoning EnhancementLLM reasoning → Test-time compute and efficient thinking
- Adaptive Multi-Agent Reasoning for Text-to-Video RetrievalLLM reasoning → Multimodal reasoning +2
- Separating Constraint Compliance from Semantic Accuracy: A Novel Benchmark for Evaluating Instruction-Following Under CompressionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- Self-Improving VLM Judges Without Human AnnotationsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward ModelingLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment +1
- When AI Takes the Couch: Psychometric Jailbreaks Reveal Internal Conflict in Frontier ModelsLLM safety and security → Safety alignment, refusal and guardrails
- Measuring Agents in ProductionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Unlocking hidden biomolecular conformational landscapes in diffusion models at inference timeDiffusion models → Flow matching, time series and science
- A Gossip-Enhanced Communication Substrate for Agentic AI: Toward Decentralized Coordination in Large-Scale Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- SpatialReasoner: Active Perception for Large-Scale 3D Scene UnderstandingLLM reasoning → Spatial and embodied reasoning +1
- Thucy: An LLM-based Multi-Agent System for Claim Verification across Relational DatabasesLLM agents and tool use → Web, search, and research agents
- Too Late to Recall: Explaining the Two-Hop Problem in Multimodal Knowledge RetrievalMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- When Do Symbolic Solvers Enhance Reasoning in Large Language Models?LLM reasoning → Reasoning benchmarks and evaluation
- Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World TasksLLM agents and tool use → Agent threats, guardrails and governance
- PixPerfect: Seamless Latent Diffusion Local Editing with Discriminative Pixel-Space RefinementDiffusion models → Image generation, text-to-image and editing
- ScalePRM: Training Process Reward Models by Scaling Verification Compute Without Ground TruthLLM reasoning → Reinforcement learning for reasoning +1
- Iterative Tilting for Diffusion Fine-TuningDiffusion models → Diffusion foundations and sampling
- Uncertainty Quantification for Large Language Model Reward Learning under Heterogeneous Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- InvertiTune: High-Quality Data Synthesis for Cost-Effective Single-Shot Text-to-Knowledge Graph GenerationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- AGENTSAFE: A Unified Framework for Ethical Assurance and Governance in Agentic AILLM agents and tool use → Agent threats, guardrails and governance
- Plantain: Plan-Answer Interleaved ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Atomic Diffusion Models for Small Molecule Structure Elucidation from NMR SpectraDiffusion models → Flow matching, time series and science
- Hierarchical Process Reward Models are Symbolic Vision LearnersLLM reasoning → Multimodal reasoning +1
- Lost in Modality: Evaluating the Effectiveness of Text-Based Membership Inference Attacks on Large Multimodal ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- E-valuator: Reliable Agent Verifiers with Sequential Hypothesis TestingLLM reasoning → Reasoning for agents, planning and code +1
- MagicQuillV2: Precise and Interactive Image Editing with Layered Visual CuesDiffusion models → Image generation, text-to-image and editing
- CAMEO: Correspondence-Attention Alignment for Multi-View Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Video2Act: A Dual-System Video Diffusion Policy with Robotic Spatio-Motional ModelingDiffusion models → Diffusion and flow policies for robotics
- OneThinker: All-in-one Reasoning Model for Image and VideoLLM reasoning → Multimodal reasoning +1
- MAViD: A Multimodal Framework for Audio-Visual Dialogue Understanding and GenerationDiffusion models → Audio, speech and music
- SMP: Reusable Score-Matching Motion Priors for Physics-Based Character ControlOffline RL and imitation learning from data → Imitation learning methods
- FLAT: FLow-Aligned Training of Unrolled Networks for MRI ReconstructionDiffusion models → Medical imaging and segmentation
- Distribution-Calibrated Inference Time Compute for Thinking LLM-as-a-JudgeLLM reasoning → Reasoning benchmarks and evaluation
- DynamicVerse: A Physically-Aware Multimodal Framework for 4D World ModelingWorld models → Video-generation world models and simulators
- U4D: Uncertainty-Aware 4D World Modeling from LiDAR SequencesWorld models → World modeling from LiDAR generation
- InEx: Hallucination Mitigation via Introspection and Cross-Modal Multi-Agent CollaborationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- Contextual Image Attack: How Visual Context Exposes Multimodal Safety VulnerabilitiesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- AutoNeural: Co-Designing Vision-Language Models for NPU InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Martingale Score: An Unsupervised Metric for Bayesian Rationality in LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- MRD: Multi-resolution Retrieval-Detection Fusion for High-Resolution Image UnderstandingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- VLA Models Are More Generalizable Than You Think: Revisiting Physical and Spatial ModelingVision-language-action models → VLA architectures and generalization
- Glance: Accelerating Diffusion Models with 1 SampleDiffusion models → Diffusion foundations and sampling
- MindGPT-4ov: An Enhanced MLLM via a Multi-Stage Post-Training ParadigmMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Fast-Decoding Diffusion Language Models via Progress-Aware Confidence SchedulesDiffusion models → Discrete and text diffusion +1
- Think in Parallel, Answer as One: Logit Averaging for Open-Ended ReasoningLLM reasoning → Test-time compute and efficient thinking
- Taming Camera-Controlled Video Generation with Verifiable Geometry RewardDiffusion models → Video generation +1
- EmbodiedDiffusion: End-to-End Traversability-Guided Visual Diffusion for Heterogeneous Robot NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- VLM as Strategist: Adaptive Generation of Safety-critical Testing Scenarios via Guided DiffusionDiffusion models → Diffusion and flow policies for robotics
- ReVSeg: Incentivizing the Reasoning Chain for Video Segmentation with Reinforcement LearningLLM reasoning → Multimodal reasoning
- Steering Vision-Language-Action Models as Anti-Exploration: A Test-Time Scaling ApproachLLM reasoning → Spatial and embodied reasoning +2
- From Navigation to Refinement: Revealing the Two-Stage Nature of Flow-based Diffusion Models through Oracle VelocityDiffusion models → Flow matching, time series and science
- SR-GRPO: Stable Rank as an Intrinsic Geometric Reward for Large Language Model AlignmentLLM reasoning → Reinforcement learning for reasoning +1
- TriLex: A Framework for Multilingual Sentiment Analysis in Low-Resource South African LanguagesRetrieval-augmented generation → Generation and context integration
- Diagnose, Correct, and Learn from Manipulation Failures via Visual SymbolsVision-language-action models → Failure recovery and robustness
- FiMMIA: scaling semantic perturbation-based membership inference across modalitiesLLM safety and security → Membership inference attacks
- Reinforcement learning for irreversible reinsurance problems: the randomized singular control approachDeep reinforcement learning methods → RL theory and sample complexity
- Diffusion-Prior Split Gibbs Sampling for Synthetic Aperture Radar Imaging under Incomplete MeasurementsDiffusion models → Inverse problems and image restoration
- Channel Knowledge Map Construction via Physics-Inspired Diffusion Model Without Prior ObservationsDiffusion models → Diffusion for compression and wireless
- Reasoning-Aware Multimodal Fusion for Hateful Video DetectionLLM reasoning → Reasoning benchmarks and evaluation
- DF-Mamba: Deformable State Space Modeling for 3D Hand Pose Estimation in InteractionsState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Emergent Bayesian Behaviour and Optimal Cue Combination in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- GeoViS: Geospatially Rewarded Visual Search for Remote Sensing Visual GroundingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- CREST: Universal Safety Guardrails Through Cluster-Guided Cross-Lingual TransferLLM safety and security → Safety alignment, refusal and guardrails
- VLM-Pruner: Buffering for Spatial Sparsity in an Efficient VLM Centrifugal Token Pruning ParadigmMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Learning What to Attend First: Modality-Importance-Guided Reasoning for Reliable Multimodal Emotion UnderstandingLLM reasoning → Audio-language model reasoning +1
- Beyond Single-Agent Safety: A Taxonomy of Risks in LLM-to-LLM InteractionsLLM agents and tool use → Agent threats, guardrails and governance
- PGP-DiffSR: Phase-Guided Progressive Pruning for Efficient Diffusion-based Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- Graph VQ-Transformer (GVT): Fast and Accurate Molecular Generation via High-Fidelity Discrete LatentsDiffusion models → Flow matching, time series and science
- Locality-Aware Continual Unlearning for Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Zero-Shot Instruction Following in RL via Structured LTL RepresentationsDeep reinforcement learning methods → Interpretable and logic-guided RL
- SeeNav-Agent: Enhancing Vision-Language Navigation with Visual Prompt and Step-Level Policy OptimizationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- PPTBench: Towards Holistic Evaluation of Large Language Models for PowerPoint Layout and Design UnderstandingLLM reasoning → Multimodal reasoning
- RULER-Bench: Probing Rule-based Reasoning Abilities of Next-level Video Generation Models for Vision Foundation IntelligenceLLM reasoning → Multimodal reasoning
- SAM2Grasp: Resolve Multi-modal Grasping via Prompt-conditioned Temporal Action PredictionOffline RL and imitation learning from data → Robot manipulation imitation learning
- Spoken Conversational Agents with Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- PaperDebugger: A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and EditingLLM agents and tool use → Web, search, and research agents
- Training Diffusion Policies via Prior-Mapping Co-EvolutionDiffusion models → Diffusion and flow policies for robotics +1
- From Imitation to Discrimination: Toward A Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning TasksLLM reasoning → Reinforcement learning for reasoning
- Co-speech Gesture Video Generation via Motion-Based Graph RetrievalDiffusion models → Audio, speech and music
- From Panel to Pixel: Zoom-In Vision-Language Pretraining from Biomedical Scientific LiteratureMultimodal LLMs / vision-language models → Medical vision-language models
- CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Inference-Time Distillation: Cost-Efficient Agents Without Fine-Tuning or Manual Prompt EngineeringLLM agents and tool use → General LLM agent frameworks and benchmarks
- WeMMU: Enhanced Bridging of Vision-Language Models and Diffusion Models via Noisy Query TokensMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Aetheria: A multimodal interpretable content safety framework based on multi-agent debate and collaborationLLM agents and tool use → Agent threats, guardrails and governance
- Generative Multi-modal Feedback for Singing Voice Synthesis EvaluationLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- SkyMoE: A Vision-Language Foundation Model for Enhancing Geospatial Interpretation with Mixture of ExpertsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- GeoDiT: A Diffusion-based Vision-Language Model for Geospatial UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- COPE: Chain-Of-Thought Prediction Engine for Open-Source Large Language Model Based Stroke Outcome Prediction from Clinical NotesLLM reasoning → Clinical and biomedical applications
- dots.ocr: Multilingual Document Layout Parsing in a Single Vision-Language ModelMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- YingVideo-MV: Music-Driven Multi-Stage Video GenerationDiffusion models → Audio, speech and music
- Masking Matters: Unlocking the Spatial Reasoning Capabilities of LLMs for 3D Scene-Language UnderstandingLLM reasoning → Spatial and embodied reasoning
- Dual-Robust Cross-Domain Offline Reinforcement Learning Against Dynamics ShiftsOffline RL and imitation learning from data → Offline RL algorithms
- UCAgents: Unidirectional Convergence for Visual Evidence Anchored Multi-Agent Medical Decision-MakingMultimodal LLMs / vision-language models → Medical vision-language models +1
- WorldPack: Dynamic Frame Compression for Long-context Video World ModelingWorld models → Video-generation world models and simulators
- Vision to Geometry: 3D Spatial Memory for Sequential Embodied MLLM Reasoning and ExplorationLLM reasoning → Spatial and embodied reasoning
- See, Think, Learn: A Self-Taught Multimodal ReasonerLLM reasoning → Multimodal reasoning +1
- When Refusals Fail: Unstable Safety Mechanisms in Long-Context LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Boosting Medical Vision-Language Pretraining via Momentum Self-Distillation under Limited Computing ResourcesMultimodal LLMs / vision-language models → Medical vision-language models +1
- Agentic AI for Clustering, Relationship Discovery, and Semantic Trading in Prediction MarketsLLM agents and tool use → Financial trading and forecasting agents
- Efficient Cross-Domain Offline Reinforcement Learning with Dynamics- and Value-Aligned Data FilteringOffline RL and imitation learning from data → Offline RL algorithms
All 366
- WorldMM: Dynamic Multimodal Memory Agent for Long Video ReasoningLLM reasoning → Multimodal reasoning +1
- GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- Generalizing Vision-Language Models with Dedicated Prompt GuidanceMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- The brain-AI convergence: Predictive and generative world models for general-purpose computationWorld models → World models for navigation
- Vehicle Dynamics Embedded World Models for Autonomous DrivingWorld models → World models for autonomous driving +1
- Decentralized Multi-Agent System with Trust-Aware CommunicationLLM agents and tool use → Agent threats, guardrails and governance
- Data Curation Through the Lens of Spectral Dynamics: Static Limits, Dynamic Acceleration, and Practical OraclesLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- WISE: Weighted Iterative Society-of-Experts for Robust Multimodal Multi-Agent DebateLLM agents and tool use → Social simulation and multi-agent debate
- Skywork-R1V4: Toward Agentic Multimodal Intelligence through Interleaved Thinking with Images and DeepResearchLLM agents and tool use → Multimodal and embodied agents
- Process-Centric Analysis of Agentic Software SystemsLLM agents and tool use → Software engineering coding agents
- Risk-Sensitive Q-Learning in Continuous Time with Application to Dynamic Portfolio SelectionDeep reinforcement learning methods → RL theory and sample complexity
- Reinforcement Learning in POMDP's via Direct Gradient AscentDeep reinforcement learning methods → RL theory and sample complexity
- MoE-Enhanced Multi-Domain Feature Selection and Fusion for Fast Map-Free Trajectory PredictionMixture-of-experts → MoE in reinforcement learning and robotics
- VACoT: Rethinking Visual Data Augmentation with VLMsLLM reasoning → Multimodal reasoning +1
- Beyond Playtesting: A Generative Multi-Agent Simulation System for Massively Multiplayer Online GamesLLM agents and tool use → Reinforcement learning for LLM agents
- Understanding and Harnessing Sparsity in Unified Multimodal ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- FOVA: Offline Federated Reinforcement Learning with Mixed-Quality DataOffline RL and imitation learning from data → Offline RL algorithms
- Reasoning Path and Latent State Analysis for Multi-view Visual Spatial Reasoning: A Cognitive Science PerspectiveLLM reasoning → Spatial and embodied reasoning
- Video Diffusion Models Excel at Tracking Similar-Looking Objects Without SupervisionDiffusion models → Video generation
- SpecPV: Improving Self-Speculative Decoding for Long-Context Generation via Partial VerificationEfficient LLM inference and serving → Speculative decoding
- Retrieval-Augmented Memory for Online LearningRetrieval-augmented generation → Generation and context integration
- Towards autonomous normative multi-agent systems for Human-AI software engineering teamsLLM agents and tool use → Software engineering coding agents
- LeechHijack: Covert Computational Resource Exploitation in Intelligent Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance +1
- COGNITION: From Evaluation to Defense against Multimodal LLM CAPTCHA SolversMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- OmniGuard: Unified Omni-Modal Guardrails with Deliberate ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Medication counseling with large language models: balancing flexibility and rigidity
- Investigating Anthropometric Fidelity in SAM 3D Body
- MedPI: Evaluating AI Systems in Medical Patient-facing Interactions
- Variance-Aware LLM Annotation for Strategy Research: Sources, Diagnostics, and a Protocol for Reliable Measurement
- Noise-Driven Persona Formation in Reflexive Neural Language Generation
- Real Time Detection and Quantitative Analysis of Spurious Forgetting in Continual Learning
- Assessing Greenspace Attractiveness with ChatGPT, Claude, and Gemini: Do AI Models Reflect Human Perceptions?
- Agent-Based Modular Learning for Multimodal Emotion Recognition in Human-Agent Systems
- TECM*: A Data-Driven Assessment to Reinforcement Learning Methods and Application to Heparin Treatment Strategy for Surgical Sepsis
- Enhancing Automatic Speech Recognition Through Integrated Noise Detection Architecture
- CrowdLLM: Building LLM-Based Digital Populations Augmented with Generative Models
- Functional Random Forest with Adaptive Cost-Sensitive Splitting for Imbalanced Functional Data Classification
- Simple Agents Outperform Experts in Biomedical Imaging Workflow Optimization
- PrunedCaps: A Case For Primary Capsules Discrimination
- POrTAL: Plan-Orchestrated Tree Assembly for Lookahead
- Small Language Models Reshape Higher Education: Courses, Textbooks, and Teaching
- ASCIIBench: Evaluating Language-Model-Based Understanding of Visually-Oriented Text
- Can machines perform a qualitative data analysis? Reading the debate with Alan Turing
- Towards Contextual Sensitive Data Detection
- Randomized Masked Finetuning: An Efficient Way to Mitigate Memorization of PIIs in LLMs
- Retrofitting Earth System Models with Cadence-Limited Neural Operator Updates
- Robust Tabular Foundation Models
- HydroDCM: Hydrological Domain-Conditioned Modulation for Cross-Reservoir Inflow Prediction
- Adaptive Regime-Switching Forecasts with Distribution-Free Uncertainty: Deep Switching State-Space Models Meet Conformal Prediction
- Associating Healthcare Teamwork with Patient Outcomes for Predictive Analysis
- Prior preferences in active inference agents: soft, hard, and goal shaping
- ASPEN: An Adaptive Spectral Physics-Enabled Network for Ginzburg-Landau Dynamics
- Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors
- BlendedNet++: A dataset and benchmark for field-resolved aerodynamics and inverse design of blended wing body aircraft
- PyroFocus: A Deep Learning Approach to Real-Time Wildfire Detection in Multispectral Remote Sensing Imagery
- Learning Network Sheaves for AI-native Semantic Communication
- 2-Shots in the Dark: Low-Light Denoising with Minimal Data Acquisition
- Novelty detection on path space
- How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy
- LLM-Guided Material Inference for 3D Point Clouds
- Object Counting with GPT-4o and GPT-5: A Comparative Study
- Convergence of a class of gradient-free optimisation schemes when the objective function is noisy, irregular, or both
- Perch 2.0 transfers 'whale' to underwater tasks
- Kaleidoscopic Scintillation Event Imaging
- Identifying attributions of causality in political text
- A Multi-Agent, Policy-Gradient approach to Network Routing
- Flux4D: Flow-based Unsupervised 4D Reconstruction
- Scaling Internal-State Policy-Gradient Methods for POMDPs
- Does Head Pose Correction Improve Biometric Facial Recognition?
- Ultra-Strong Gradient Diffusion MRI with Self-Supervised Learning for Prostate Cancer Characterization
- Enhancing Job Matching: Occupation, Skill and Qualification Linking with the ESCO and EQF taxonomies
- GRAND: Guidance, Rebalancing, and Assignment for Networked Dispatch in Multi-Agent Path Finding
- In Situ Quantum Analog Pulse Characterization via Structured Signal Processing
- Neighborhood density estimation using space-partitioning based hashing schemes
- Drainage: A Unifying Framework for Addressing Class Uncertainty
- Culture Affordance Atlas: Reconciling Object Diversity Through Functional Mapping
- Multi-Agent Reinforcement Learning and Real-Time Decision-Making in Robotic Soccer for Virtual Environments
- Contrastive Deep Learning for Variant Detection in Wastewater Genomic Sequencing
- Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models
- Assessing Extrapolation of Peaks Over Thresholds with Martingale Testing
- Real-Time Structural Health Monitoring with Bayesian Neural Networks: Distinguishing Aleatoric and Epistemic Uncertainty for Digital Twin Frameworks
- Temporal Graph Neural Networks for Early Anomaly Detection and Performance Prediction via PV System Monitoring Data
- A Discrete Neural Operator with Adaptive Sampling for Surrogate Modeling of Parametric Transient Darcy Flows in Porous Media
- Beyond Additivity: Sparse Isotonic Shapley Regression toward Nonlinear Explainability
- PanFoMa: A Lightweight Foundation Model and Benchmark for Pan-Cancer
- The BEAT-CF Causal Model: A model for guiding the design of trials and observational analyses of cystic fibrosis exacerbations
- Detecting AI Hallucinations in Finance: An Information-Theoretic Method Cuts Hallucination Rate by 92%
- PPTArena: A Benchmark for PowerPoint Editing
- MultiShotMaster: A Controllable Multi-Shot Video Generation Framework
- Video4Spatial: Towards Visuospatial Intelligence with Context-Guided Video Generation
- ViSAudio: End-to-End Video-Driven Binaural Spatial Audio Generation
- Learning Physically Consistent Lagrangian Control Models Without Acceleration Measurements
- The Moral Consistency Pipeline: Continuous Ethical Evaluation for Large Language Models
- LORE: A Large Generative Model for Search Relevance
- TokenPowerBench: Benchmarking the Power Consumption of LLM Inference
- AutoBrep: Autoregressive B-Rep Generation with Unified Topology and Geometry
- Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks
- In-Context Sync-LoRA for Portrait Video Editing
- SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting
- From Moderation to Mediation: Can LLMs Serve as Mediators in Online Flame Wars?
- DGGT: Feedforward 4D Reconstruction of Dynamic Driving Scenes using Unposed Images
- Invasive Context Engineering to Control Large Language Models
- TEXTRIX: Latent Attribute Grid for Native Texture Generation and Beyond
- GraphFusion3D: Dynamic Graph Attention Convolution with Adaptive Cross-Modal Transformer for 3D Object Detection
- Fine-Tuned Large Language Models for Logical Translation: Reducing Hallucinations with Lang2Logic
- ProteinPNet: Prototypical Part Networks for Concept Learning in Spatial Proteomics
- Rethinking Generalized BCIs: Benchmarking 340,000+ Unique Algorithmic Configurations for EEG Mental Command Decoding
- BEVDilation: LiDAR-Centric Multi-Modal Fusion for 3D Object Detection
- Identification of Multivariate Measurement Error Models
- Flexible Gravitational-Wave Parameter Estimation with Transformers
- Pruning AMR: Efficient Visualization of Implicit Neural Representations via Weight Matrix Analysis
- Lumos: Let there be Language Model System Certification
- UltraFast-LiNET: Light-weight multi-scale shift convolutional network for real-time low-light image enhancement
- Layout Anything: One Transformer for Universal Room Layout Estimation
- Representation of Inorganic Synthesis Reactions and Prediction: Graphical Framework and Datasets
- Benchmarking Scientific Understanding and Reasoning for Video Generation using VideoScience-Bench
- LoVoRA: Text-guided and Mask-free Video Object Removal and Addition with Learnable Object-aware Localization
- EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis
- DiverseAR: Boosting Diversity in Bitwise Autoregressive Image Generation
- Fast Gaussian Process Approximations for Autocorrelated Data
- Learning Multimodal Embeddings for Traffic Accident Prediction and Causal Estimation
- Hypothesis Testing for Generalized Thurstone Models
- In Silico Development of Psychometric Scales: Feasibility of Representative Population Data Simulation with LLMs
- Towards a fully differentiable digital twin for solar cells
- Fairy2i: Training Complex LLMs from Real LLMs with All Parameters in ± 1, ± i
- Model-Based Diagnosis with Multiple Observations: A Unified Approach for C Software and Boolean Circuits
- Polar Perspectives: Evaluating 2-D LiDAR Projections for Robust Place Recognition with Visual Foundation Models
- OptPO: Optimal Rollout Allocation for Test-time Policy Optimization
- The future of AI in critical mineral exploration
- Assessing the performance of correlation-based multi-fidelity neural emulators
- MICCAI STSR 2025 Challenge: Semi-Supervised Teeth and Pulp Segmentation and CBCT-IOS Registration
- Spectral Joint Subspace Estimation for Heterogeneous Multi-View Data: Geometry and Reweighting
- Leveraging generative adversarial networks with spatially adaptive denormalization for multivariate stochastic seismic data inversion
- RFOP: Rethinking Fusion and Orthogonal Projection for Face-Voice Association
- Adaptive Decentralized Federated Learning for Robust Optimization
- Are Detectors Fair to Indian IP-AIGC? A Cross-Generator Study
- GraphMatch: Fusing Language and Graph Representations in a Dynamic Two-Sided Work Marketplace
- Action Anticipation at a Glimpse: To What Extent Can Multimodal Cues Replace Video?
- Bangla Hate Speech Classification with Fine-tuned Transformer Models
- Cross-Lingual Prompt Steerability: Towards Accurate and Robust LLM Behavior across Languages
- promptolution: A Unified, Modular Framework for Prompt Optimization
- A Comparative Study on How Data Normalization Affects Zero-Shot Generalization in Time Series Foundation Models
- Revisiting Theory of Contrastive Learning for Domain Generalization
- Defense That Attacks: How Robust Models Become Better Attackers
- Tempering the Bayes Filter towards Improved Model-Based Estimation
- BOOM: Beyond Only One Modality KIT's Multimodal Multilingual Lecture Companion
- A benchmark dataset for evaluating Syndrome Differentiation and Treatment in large language models
- Radiologist Copilot: An Agentic Framework Orchestrating Specialized Tools for Reliable Radiology Reporting
- Enhancing Automated Paper Reproduction via Prompt-Free Collaborative Agents
- Phase-Adaptive LLM Framework with Multi-Stage Validation for Construction Robot Task Allocation: A Systematic Benchmark Against Traditional Optimization Algorithms
- HUD: Hierarchical Uncertainty-Aware Disambiguation Network for Composed Video Retrieval
- Making Dialogue Grounding Data Rich: A Three-Tier Data Synthesis Framework for Generalized Referring Expression Comprehension
- TrackNetV5: Residual-Driven Spatio-Temporal Refinement and Motion Direction Decoupling for Fast Object Tracking
- Perception of AI-Generated Music -- The Role of Composer Identity, Personality Traits, Music Preferences, and Perceived Humanness
- LumiX: Structured and Coherent Text-to-Intrinsic Generation
- Rethinking Surgical Smoke: A Smoke-Type-Aware Laparoscopic Video Desmoking Method and Dataset
- AI-Driven Document Redaction in UK Public Authorities: Implementation Gaps, Regulatory Challenges, and the Human Oversight Imperative
- Towards Unification of Hallucination Detection and Fact Verification for Large Language Models
- PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models
- SurveyEval: Towards Comprehensive Evaluation of LLM-Generated Academic Surveys
- AttMetNet: Attention-Enhanced Deep Neural Network for Methane Plume Detection in Sentinel-2 Satellite Imagery
- Adversarial Jamming for Autoencoder Distribution Matching
- Probabilistic energy profiler for statically typed JVM-based programming languages
- Beyond Paired Data: Self-Supervised UAV Geo-Localization from Reference Imagery Alone
- A Framework for Causal Concept-based Model Explanations
- Self-Improving AI Agents through Self-Play
- AuditCopilot: Leveraging LLMs for Fraud Detection in Double-Entry Bookkeeping
- Credal Graph Neural Networks
- Generative modeling using evolved quantum Boltzmann machines
- StockMem: An Event-Reflection Memory Framework for Stock Forecasting
- Menta: A Small Language Model for On-Device Mental Health Prediction
- Training Data Attribution for Image Generation using Ontology-Aligned Knowledge Graphs
- Empirical Assessment of the Perception of Software Product Line Engineering by an SME before Migrating its Code Base
- FGC-Comp: Adaptive Neighbor-Grouped Attribute Completion for Graph-based Anomaly Detection
- Conformal Correction for Efficiency May be at Odds with Entropy
- A method for tissue-mask supported whole-body image registration in the UK Biobank
- GeoBridge++: Fact-Guided Geo-Semantic Bridging for Unified Cross-View Geo-Localization
- ALDI-ray: Adapting the ALDI Framework for Security X-ray Object Detection
- Embedding networks with the random walk first return time distribution
- An Empirical Survey of Model Merging Algorithms for Social Bias Mitigation
- ClimaOoD: Improving Anomaly Segmentation via Physically Realistic Synthetic Data
- Unsupervised Structural Scene Decomposition via Foreground-Aware Slot Attention with Pseudo-Mask Guidance
- Exploring Depth Generalization in Large Language Models for Solving Recursive Logic Tasks
- SAND Challenge: Four Approaches for Dysartria Severity Classification
- UAUTrack: Towards Unified Multimodal Anti-UAV Visual Tracking
- Input Order Shapes LLM Semantic Alignment in Multi-Document Summarization
- PolarGuide-GSDR: 3D Gaussian Splatting Driven by Polarization Priors and Deferred Reflection for Real-World Reflective Scenes
- Spatially-Grounded Document Retrieval via Patch-to-Region Relevance Propagation
- Adaptive Weighted LSSVM for Multi-View Classification
- Pianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training
- Real-Time Multimodal Data Collection Using Smartwatches and Its Visualization in Education
- Hear What Matters! Text-conditioned Selective Video-to-Audio Generation
- PoreTrack3D: A Benchmark for Dynamic 3D Gaussian Splatting in Pore-Scale Facial Trajectory Tracking
- Leveraging Large-Scale Pretrained Spatial-Spectral Priors for General Zero-Shot Pansharpening
- Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models
- Adapting Tensor Kernel Machines to Enable Efficient Transfer Learning for Seizure Detection
- CryptoQA: A Large-scale Question-answering Dataset for AI-assisted Cryptography
- Content-Aware Texturing for Gaussian Splatting
- Modeling and Inverse Identification of Interfacial Heat Conduction in Finite Layer and Semi-Infinite Substrate Systems via a Physics-Guided Neural Framework
- Target-specific Adaptation and Consistent Degradation Alignment for Cross-Domain Remaining Useful Life Prediction
- IACT: A Self-Organizing Recursive Model for General AI Agents: A Technical White Paper on the Architecture Behind kragent.ai
- Feedback Loops and Code Perturbations in LLM-based Software Engineering: A Case Study on a C-to-Rust Translation System
- EZYer: A simulacrum of high school with generative agent
- Empathy Level Prediction in Multi-Modal Scenario with Supervisory Documentation Assistance
- DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
- ADORE: Autonomous Domain-Oriented Relevance Engine for E-commerce
- OmniPerson: Unified Identity-Preserving Pedestrian Generation
- From Veracity to Diffusion: Adressing Operational Challenges in Moving From Fake-News Detection to Information Disorders
- Sparse Computations in Deep Learning Inference
- Tensor Network Based Feature Learning Model
- AVGGT: Rethinking Global Attention for Accelerating VGGT
- Laplace Approximation For Tensor Train Kernel Machines In System Identification
- A Concise Review of Hallucinations in LLMs and their Mitigation
- On the Problem of Consistent Anomalies in Zero-Shot Anomaly Detection
- Decentralized Fairness Aware Multi Task Federated Learning for VR Network
- Two-Stage Vision Transformer for Image Restoration: Colorization Pretraining + Residual Upsampling
- Water Quality Estimation Through Machine Learning Multivariate Analysis
- AskNearby: An LLM-Based Application for Neighborhood Information Retrieval and Personalized Cognitive-Map Recommendations
- A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation
- Attention-guided reference point shifting for Gaussian-mixture-based partial point set registration
- Bayesian Physics-Informed Neural Networks for Inverse Problems (BPINN-IP): Application in Infrared Image Processing
- A Fully First-Order Layer for Differentiable Optimization
- Stress-Testing Causal Claims via Cardinality Repairs
- Hybrid(Penalized Regression and MLP) Models for Outcome Prediction in HDLSS Health Data
- G-SHARP: Gaussian Surgical Hardware Accelerated Real-time Pipeline
- Q-BERT4Rec: Quantized Semantic-ID Representation Learning for Multimodal Recommendation
- Guided Self-Evolving LLMs with Minimal Human Supervision
- scCluBench: Comprehensive Benchmarking of Clustering Algorithms for Single-Cell RNA Sequencing
- TGDD: Trajectory Guided Dataset Distillation with Balanced Distribution
- TabGRU: An Enhanced Design for Urban Rainfall Intensity Estimation Using Commercial Microwave Links
- Does Hearing Help Seeing? Investigating Audio-Video Joint Denoising for Video Generation
- ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation
- HouseLayout3D: A Benchmark and Training-Free Baseline for 3D Layout Estimation in the Wild
- nuScenes Revisited: Progress and Challenges in Autonomous Driving
- Temporal Dynamics Enhancer for Directly Trained Spiking Object Detectors
- MetaJoin: Adaptive Join Selections for Heterogeneous Tables
- Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
- LightHCG: a Lightweight yet powerful HSIC Disentanglement based Causal Glaucoma Detection Model framework
- Quantum feature encoding optimization
- Leveraging Large Language Models to Bridge Cross-Domain Transparency in Stablecoins
- Enhancing Floor Plan Recognition: A Hybrid Mix-Transformer and U-Net Approach for Precise Wall Segmentation
- Dynamic Configuration of On-Street Parking Spaces using Multi Agent Reinforcement Learning
- ESACT: An End-to-End Sparse Accelerator for Compute-Intensive Transformers via Local Similarity
- TaleFrame: An Interactive Story Generation System with Fine-Grained Control and Large Language Models
- Nav-R2 Dual-Relation Reasoning for Generalizable Open-Vocabulary Object-Goal Navigation
- Reproducing and Extending RaDelft 4D Radar with Camera-Assisted Labels
- From Detection to Association: Learning Discriminative Object Embeddings for Multi-Object Tracking
- Synthetic Error Injection Fails to Elicit Self-Correction In Language Models
- On-the-fly Feedback SfM: Online Explore-and-Exploit UAV Photogrammetry with Incremental Mesh Quality-Aware Indicator and Predictive Path Planning
- SAGE: Style-Adaptive Generalization for Privacy-Constrained Semantic Segmentation Across Domains
- Tackling Tuberculosis: A Comparative Dive into Machine Learning for Tuberculosis Detection
- Memory-Augmented Knowledge Fusion with Safety-Aware Decoding for Domain-Adaptive Question Answering
- WSCF-MVCC: Weakly-supervised Calibration-free Multi-view Crowd Counting
- A multi-weight self-matching visual explanation for cnns on sar images
- Safeguarded Stochastic Polyak Step Sizes for Non-smooth Optimization: Robust Performance Without Small (Sub)Gradients
- TALO: Pushing 3D Vision Foundation Models Towards Globally Consistent Online Reconstruction
- Forecasting MBTA Transit Dynamics: A Performance Benchmarking of Statistical and Machine Learning Models
- Molecular Embedding-Based Algorithm Selection in Protein-Ligand Docking
- Training Energy-Based Models with Non-MCMC Samplers and Efficient Temperature Estimation
- Few-shot Protein Fitness Prediction via In-context Learning and Test-time Training
- When Does Verification Pay Off? A Closer Look at LLMs as Solution Verifiers
- Training Dynamics of Learning 3D-Rotational Equivariance
- Breast Cell Segmentation Under Extreme Data Constraints: Quantum Enhancement Meets Adaptive Loss Stabilization
- HealthContradict: Evaluating Biomedical Knowledge Conflicts in Language Models
- VIGS-SLAM: Visual Inertial Gaussian Splatting SLAM
- Enhancing Cross Domain SAR Oil Spill Segmentation via Morphological Region Perturbation and Synthetic Label-to-SAR Generation