Papers
Thu 12 Jun 2025
378 papers
- Novel RL approach for efficient Elevator Group Control SystemsDeep reinforcement learning methods → RL for energy, networks and operations
- DiMo-GUI: Advancing Test-time Scaling in GUI Grounding via Modality-Aware Visual ReasoningLLM reasoning → Multimodal reasoning
- Hybrid-NL2SVA: Integrating RAG and Finetuning for LLM-based NL2SVARetrieval-augmented generation → RAG pipeline design and evaluation
- Assessing RAG and HyDE on 1B vs. 4B-Parameter Gemma LLMs for Personal Assistants IntegretionRetrieval-augmented generation → Privacy and security of RAG
- A Multi-Agent Probabilistic Inference Framework Inspired by Kairanban-Style CoT System with IdoBata Conversation for DebiasingLLM agents and tool use → Social simulation and multi-agent debate
- Reasoning Isn't Enough: Examining Truth-Bias and Sycophancy in LLMsLLM reasoning → Prompting and chain-of-thought reasoning
- FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- UCD: Unlearning in LLMs via Contrastive DecodingLLM safety and security → Machine unlearning
- DoublyAware: Dual Planning and Policy Awareness for Temporal Difference Learning in Humanoid LocomotionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for AutonomyWorld models → World models for autonomous driving
- Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy PatientsDiffusion models → Medical imaging and segmentation
- Constrained Diffusion Models for Synthesizing Representative Power Flow DatasetsDiffusion models → Flow matching, time series and science
- Learning a Continue-Thinking Token for Enhanced Test-Time ScalingLLM reasoning → Test-time compute and efficient thinking
- Live API-Bench: 2500+ Live APIs for Testing Multi-Step Tool CallingLLM agents and tool use → Tool learning and function calling
- Demonstration Sidetracks: Categorizing Systematic Non-Optimality in Human DemonstrationsOffline RL and imitation learning from data → Robot learning from demonstration
- Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation ModelsLLM safety and security → Machine unlearning
- No Universal Prompt: Unifying Reasoning through Adaptive Prompting for Temporal Table ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- Poutine: Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End-to-End Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies +1
- DiffPR: Diffusion-Based Phase Reconstruction via Frequency-Decoupled LearningDiffusion models → Inverse problems and image restoration
- Beyond Formal Semantics for Capabilities and Skills: Model Context Protocol in ManufacturingLLM agents and tool use → Tool learning and function calling
- Teaching in adverse scenes: a statistically feedback-driven threshold and mask adjustment teacher-student framework for object detection in UAV images under adverse scenesKnowledge distillation → Detection and dense prediction distillation
- Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts?LLM reasoning → Test-time compute and efficient thinking
- Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow ModelsDiffusion models → Diffusion foundations and sampling
- AutoMind: Adaptive Knowledgeable Agent for Automated Data ScienceLLM agents and tool use → Web, search, and research agents
- What Exactly Does Guidance Do in Masked Discrete Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- MMMG: A Massive, Multidisciplinary, Multi-Tier Generation Benchmark for Text-to-Image ReasoningLLM reasoning → Multimodal reasoning
- SpectralAR: Spectral Autoregressive Visual GenerationDiffusion models → Image generation, text-to-image and editing
- ChineseHarm-Bench: A Chinese Harmful Content Detection BenchmarkLLM safety and security → Safety alignment, refusal and guardrails
- ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse ProblemsDiffusion models → Inverse problems and image restoration
- Build the web for agents, not agents for the webLLM agents and tool use → Web, search, and research agents
- Monitoring Decomposition Attacks in LLMs with Lightweight Sequential MonitorsLLM safety and security → Prompt injection and agent security
- Spurious Rewards: Rethinking Training Signals in RLVRLLM reasoning → Reinforcement learning for reasoning
- GUARD: Guided Unlearning and Retention via Data Attribution for Large Language ModelsLLM safety and security → Machine unlearning
- Dynamic Epistemic Friction in DialogueLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Agentic Semantic Control for Autonomous Wireless Space Networks: Extending Space-O-RAN with MCP-Driven Distributed IntelligenceLLM agents and tool use → Agentic AI for wireless networks
- Constructing Interpretable Features from Compositional Neuron GroupsMechanistic interpretability → SAE features and their applications
- Sequential-Parallel Duality in Prefix Scannable ModelsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- M4V: Multimodal Mamba for Efficient Text-to-Video GenerationState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- MagistralLLM reasoning → Reinforcement learning for reasoning
- Beyond Gold Standards: Epistemic Ensemble of LLM Judges for Formal Mathematical ReasoningLLM reasoning → Mathematical reasoning
- The Diffusion DualityDiffusion models → Discrete and text diffusion
- Generalization or Hallucination? Understanding Out-of-Context Reasoning in TransformersLLM reasoning → Reasoning benchmarks and evaluation
- Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy RegularizationDeep reinforcement learning methods → RL theory and sample complexity
- VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative VideosLLM reasoning → Multimodal reasoning
- A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language ModelsLLM reasoning → Spatial and embodied reasoning
- CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-TrainingRetrieval-augmented generation → Agentic RAG, agents and memory
- RationalVLA: A Rational Vision-Language-Action Model with Dual SystemVision-language-action models → 3D and spatial-aware VLA
- ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference OptimizationLLM reasoning → Test-time compute and efficient thinking +1
- Constructing and Evaluating Declarative RAG Pipelines in PyTerrierRetrieval-augmented generation → RAG pipeline design and evaluation
- Human-Robot Navigation using Event-based Cameras and Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- SlotPi: Physics-informed Object-centric Reasoning ModelsLLM reasoning → Spatial and embodied reasoning
- ME: Trigger Element Combination Backdoor Attack on Copyright InfringementDiffusion models → Robustness, privacy and adversarial aspects
- Mind the Gap: Benchmarking LLM Uncertainty and Calibration with Specialty-Aware Clinical QA and Reasoning-Based Behavioural FeaturesLLM reasoning → Clinical and biomedical applications
- OPT-BENCH: Evaluating LLM Agent on Large-Scale Search Spaces Optimization ProblemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Think before You Simulate: Symbolic Reasoning to Orchestrate Neural Computation for Counterfactual Question AnsweringLLM reasoning → Causal reasoning in LLMs
- Neural at ArchEHR-QA 2025: Agentic Prompt Optimization for Evidence-Grounded Clinical Question AnsweringLLM agents and tool use → Medical and scientific domain agents
- IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical DomainMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced ClaimsRetrieval-augmented generation → Medical and biomedical RAG
- PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large ModelsLLM reasoning → Mathematical reasoning
- Data Shifts Hurt CoT: A Theoretical StudyLLM reasoning → Prompting and chain-of-thought reasoning
- GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-TuningDiffusion models → Video generation
- Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative ModelsDiffusion models → Flow matching, time series and science
- Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Hessian Geometry of Latent Space in Generative ModelsDiffusion models → Diffusion foundations and sampling
- Time Series Forecasting via Reasoning: A Slow-Thinking Approach with Reinforcement Fine-Tuned LLMsLLM reasoning → Time series reasoning
- Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- NeuralNexus at BEA 2025 Shared Task: Retrieval-Augmented Prompting for Mistake Identification in AI TutorsRetrieval-augmented generation → Agentic RAG, agents and memory
- SDialog: A Python Toolkit for End-to-End Agent Building, User Simulation, Dialog Generation, and EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- TexTailor: Customized Text-aligned Texturing via Effective ResamplingDiffusion models → 3D, point cloud and scene generation
- High-resolution efficient image generation from WiFi CSI using a pretrained latent diffusion modelDiffusion models → Diffusion for compression and wireless
- SoK: Evaluating Jailbreak Guardrails for Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Primender Sequence: A Novel Mathematical Construct for Testing Symbolic Inference and AI ReasoningLLM reasoning → Mathematical reasoning
- Rethinking Random Masking in Self-Distillation on ViTKnowledge distillation → General knowledge distillation methods
- Harmonizing Geometry and Uncertainty: Diffusion with HyperspheresDiffusion models → Diffusion foundations and sampling
- Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- DreamActor-H1: High-Fidelity Human-Product Demonstration Video Generation via Motion-designed Diffusion TransformersDiffusion models → Video generation
- Equivariant Neural Diffusion for Molecule GenerationDiffusion models → Flow matching, time series and science
- LogiPlan: A Structured Benchmark for Logical Planning and Relational Reasoning in LLMsLLM reasoning → Knowledge- and tool-augmented reasoning
- AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT LengthLLM reasoning → Reasoning for agents, planning and code
- Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and ReasoningLLM reasoning → Multimodal reasoning
- Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
- Edit360: 2D Image Edits to 3D Assets from Any AngleDiffusion models → 3D, point cloud and scene generation
- A Crack in the Bark: Leveraging Public Knowledge to Remove Tree-Ring WatermarksDiffusion models → Robustness, privacy and adversarial aspects
- BugGen: A Self-Correcting Multi-Agent LLM Pipeline for Realistic RTL Bug SynthesisLLM agents and tool use → Software engineering coding agents
- OIBench: Benchmarking Strong Reasoning Models with Olympiad in InformaticsLLM reasoning → Test-time compute and efficient thinking
- Specification and Evaluation of Multi-Agent LLM Systems -- Prototype and Cybersecurity ApplicationsLLM reasoning → Reasoning for agents, planning and code +1
- MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language ModelsLLM reasoning → Clinical and biomedical applications +1
- Towards Robust Multimodal Emotion Recognition under Missing Modalities and Distribution ShiftsKnowledge distillation → Multimodal distillation
- Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length PenaltyLLM reasoning → Test-time compute and efficient thinking
- MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile DevicesEfficient LLM inference and serving → Serving systems and request scheduling
- Measuring Semantic Information Production in Generative Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference AttacksLLM safety and security → Membership inference attacks
- Can Sound Replace Vision in LLaVA With Token Substitution?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Burn After Reading: Do Multimodal Large Language Models Truly Capture Order of Events in Image Sequences?LLM reasoning → Multimodal reasoning +1
- Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry ChallengesLLM reasoning → Knowledge- and tool-augmented reasoning +2
- ReconMOST: Multi-Layer Sea Temperature Reconstruction with Observations-Guided DiffusionDiffusion models → Flow matching, time series and science
- DART: Differentiable Dynamic Adaptive Region Tokenizer for Vision Foundation ModelsState-space sequence models (S4, Mamba) → Vision Mamba backbones
All 378
- EQA-RM: A Generative Embodied Reward Model with Test-time ScalingLLM reasoning → Reinforcement learning for reasoning +1
- Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal SkillsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Optimus-3: Dual-Router Aligned Mixture-of-Experts Agent with Dual-Granularity Reasoning-Aware Policy OptimizationMixture-of-experts → MoE in reinforcement learning and robotics
- Motion-R1: Enhancing Motion Generation with Decomposed Chain-of-Thought and RL BindingLLM reasoning → Spatial and embodied reasoning
- Code Execution as Grounded Supervision for LLM ReasoningLLM reasoning → Reasoning for agents, planning and code
- Using Vision Language Models to Detect Students' Academic Emotion through Facial ExpressionsMultimodal LLMs / vision-language models → Multimodal emotion understanding
- Towards Understanding Bias in Synthetic Data for EvaluationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- HalLoc: Token-level Localization of Hallucinations for Vision Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- WGSR-Bench: Wargame-based Game-theoretic Strategic Reasoning Benchmark for Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- Data-Driven and Participatory Approaches toward Neuro-Inclusive AI
- Geophysics-informed neural network for model-based seismic inversion using surrogate point spread functions
- Unsupervised Learning-Based Joint Resource Allocation and Beamforming Design for RIS-Assisted MISO-OFDMA Systems
- Vision Transformers for Multi-Variable Climate Downscaling: Emulating Regional Climate Models with a Shared Encoder and Multi-Decoder Architecture
- EAGLE: Efficient Alignment of Generalized Latent Embeddings for Multimodal Survival Prediction with Interpretable Attribution Analysis
- Hierarchical Adversarially-Resilient Multi-Agent Reinforcement Learning for Cyber-Physical Systems Security
- Random Initialization Can't Catch Up: The Advantage of Language Model Transfer for Time Series Forecasting
- BioPars: A Pretrained Biomedical Large Language Model for Persian Biomedical Text Mining
- The Saturation Point of Backtranslation in High Quality Low Resource English Gujarati Machine Translation
- Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing
- FormosanBench: Benchmarking Low-Resource Austronesian Languages in the Era of Large Language Models
- FloorPlan-DeepSeek (FPDS): A multimodal approach to floorplan generation using vector-based next room prediction
- Modal Logic for Stratified Becoming: Actualization Beyond Possible Worlds
- Conformal Safety Shielding for Imperfect-Perception Agents
- QUST_NLP at SemEval-2025 Task 7: A Three-Stage Retrieval Framework for Monolingual and Crosslingual Fact-Checked Claim Retrieval
- ViLLa: A Neuro-Symbolic approach for Animal Monitoring
- Contemporary AI foundation models increase biological weapons risk
- ClimateChat: Designing Data and Methods for Instruction Tuning LLMs to Answer Climate Change Queries
- BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot Detection
- LLM Embedding-based Attribution (LEA): Quantifying Source Contributions to Generative Model's Response for Vulnerability Analysis
- SocialCredit+
- "I Hadn't Thought About That": Creators of Human-like AI Weigh in on Ethics And Neurodivergence
- Military AI Cyber Agents (MAICAs) Constitute a Global Threat to Critical Infrastructure
- Intelligent Automation for FDI Facilitation: Optimizing Tariff Exemption Processes with OCR And Large Language Models
- Scalable Context-Preserving Model-Aware Deep Clustering for Hyperspectral Images
- The Biased Samaritan: LLM biases in Perceived Kindness
- Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel
- GynSurg: A Comprehensive Gynecology Laparoscopic Surgery Dataset
- GLAP: General contrastive audio-text pretraining across domains and languages
- Improving Group Robustness on Spurious Correlation via Evidential Alignment
- Do We Still Need Audio? Rethinking Speaker Diarization with a Text-Based Approach Using Multiple Prediction Models
- From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review
- Surprisal from Larger Transformer-based Language Models Predicts fMRI Data More Poorly
- The Sample Complexity of Parameter-Free Stochastic Convex Optimization
- Polymorphism Crystal Structure Prediction with Adaptive Space Group Diversity Control
- MUDAS: Mote-scale Unsupervised Domain Adaptation in Multi-label Sound Classification
- An Attention-based Spatio-Temporal Neural Operator for Evolving Physics
- Hardware-Aware Neural Architecture Search for Encrypted Traffic Classification on Resource-Constrained Devices
- Sampling Imbalanced Data with Multi-objective Bilevel Optimization
- HyBiomass: Global Hyperspectral Imagery Benchmark Dataset for Evaluating Geospatial Foundation Models in Forest Aboveground Biomass Estimation
- Don't Pay Attention
- Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning
- A Tale of Two Systems: Characterizing Architectural Complexity on Machine Learning-Enabled Systems
- Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork
- Joint Denoising of Cryo-EM Projection Images using Polar Transformers
- Collaborative Prediction: To Join or To Disjoin Datasets
- Gondola: Grounded Vision Language Planning for Robotic Manipulation
- Anti-Aliased 2D Gaussian Splatting
- Measuring multi-calibration
- Can Time-Series Foundation Models Perform Building Energy Management Tasks?
- Iterative Multilingual Spectral Attribute Erasure
- RETUYT-INCO at BEA 2025 Shared Task: How Far Can Lightweight Models Go in AI-powered Tutor Evaluation?
- A Causal Lens for Learning Long-term Fair Policies
- Enhanced Vehicle Speed Detection Considering Lane Recognition Using Drone Videos in California
- uPVC-Net: A Universal Premature Ventricular Contraction Detection Deep Learning Algorithm
- LLM-as-a-Judge for Reference-less Automatic Code Validation and Refinement for Natural Language to Bash in IT Automation
- LLM-as-a-Fuzzy-Judge: Fine-Tuning Large Language Models as a Clinical Evaluation Judge with Fuzzy Logic
- Detection of obstructions in oil and gas pipelines: machine learning techniques for hydrate classification
- Complexity of normalized stochastic first-order methods with momentum under heavy-tailed noise
- Multimodal Modeling of CRISPR-Cas12 Activity Using Foundation Models and Chromatin Accessibility Data
- Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention
- BrainMAP: Multimodal Graph Learning For Efficient Brain Disease Localization
- PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation
- WaveFormer: A Lightweight Transformer Model for sEMG-based Gesture Recognition
- Rethinking Losses for Diffusion Bridge Samplers
- SceneCompleter: Dense 3D Scene Completion for Generative Novel View Synthesis
- InstaInpaint: Instant 3D-Scene Inpainting with Masked Large Reconstruction Model
- QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction
- GenWorld: Towards Detecting AI-generated Real-world Simulation Videos
- Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning
- Predictable Scale: Part II, Farseer: A Refined Scaling Law in Large Language Models
- Eye, Robot: Learning to Look to Act with a BC-RL Perception-Action Loop
- Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods
- SWE-Factory: Your Automated Factory for Issue Resolution Training Data and Evaluation Benchmarks
- Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training
- Execution Guided Line-by-Line Code Generation
- Coupled reaction and diffusion governing interface evolution in solid-state batteries
- Self-Adapting Language Models
- VINCIE: Unlocking In-context Image Editing from Video
- Developing a High-performance Framework for Speech Emotion Recognition in Naturalistic Conditions Challenge for Emotional Attribute Prediction
- On feature selection in double-imbalanced data settings: a Random Forest approach
- The Role of Generative AI in Facilitating Social Interactions: A Scoping Review
- Robustly Improving LLM Fairness in Realistic Settings via Interpretability
- Semi-Automated Quality Assurance in Digital Pathology: Tile Classification Approach
- Foundation Models for Causal Inference via Prior-Data Fitted Networks
- Breaking Bad Molecules: Are MLLMs Ready for Structure-Level Molecular Detoxification?
- NoLoCo: No-all-reduce Low Communication Training Method for Large Models
- Probably Approximately Correct Labels
- Demystifying Spectral Feature Learning for Instrumental Variable Regression
- GenPlanX. Generation of Plans and Execution
- BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP
- AIR: Zero-shot Generative Model Adaptation with Iterative Refinement
- CreatiPoster: Towards Editable and Controllable Multi-Layer Graphic Design Generation
- Lattice Climber Attack: Adversarial attacks for randomized mixtures of classifiers
- Slimming Down LLMs Without Losing Their Minds
- A Goemans-Williamson type algorithm for identifying subcohorts in clinical trials
- Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment
- Data-Driven Prediction of Dynamic Interactions Between Robot Appendage and Granular Material
- The Gittins Index: A Design Principle for Decision-Making Under Uncertainty
- A multi-scale loss formulation for learning a probabilistic model with proper score optimisation
- OmniFluids: Physics Pre-trained Modeling of Fluid Dynamics
- Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context Information
- Med-URWKVdag: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation
- Analyzing the relationships between pretraining language, phonetic, tonal, and speaker information in self-supervised speech models
- Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers
- Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles
- Advanced fraud detection using machine learning models: enhancing financial transaction security
- Post-Training Quantization for Video Matting
- Efficiency Robustness of Dynamic Deep Learning Systems
- LLM-Driven Personalized Answer Generation and Evaluation
- Generalist Models in Medical Image Segmentation: A Survey and Performance Comparison with Task-Specific Approaches
- VideoExplorer: Think With Videos For Agentic Long-Video Understanding
- Occlusion-Aware 3D Hand-Object Pose Estimation with Masked AutoEncoders
- Unsupervised Deformable Image Registration with Structural Nonparametric Smoothing
- Prompts to Summaries: Zero-Shot Language-Guided Video Summarization with Large Language and Video Models
- Detecting High-Stakes Interactions with Activation Probes
- Dense Associative Memory with Epanechnikov Energy
- Mitigating Negative Interference in Multilingual Sequential Knowledge Editing through Null-Space Constraints
- Modality-AGnostic Image Cascade (MAGIC) for Multi-Modality Cardiac Substructure Segmentation
- FASCIST-O-METER: Classifier for Neo-fascist Discourse Online
- What Users Value and Critique: Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps
- Improving Speech Recognition of Named Entities in Classroom Speech with LLM Revision and Phonetic-Semantic Context
- Monotone Classification with Relative Approximations
- Stroke-based Cyclic Amplifier: Image Super-Resolution at Arbitrary Ultra-Large Scales
- Learning Chaotic Dynamics with Neuromorphic Network Dynamics
- Skillful joint probabilistic weather forecasting from marginals
- One Tokenizer To Rule Them All: Emergent Language Plasticity via Multilingual Tokenizers
- Grounded Vision-Language Navigation for UAVs with Open-Vocabulary Goal Understanding
- BNMusic: Blending Environmental Noises into Personalized Music
- Computational Complexity of Statistics: New Insights from Low-Degree Polynomials
- PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework
- TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora
- TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks
- Inferring Adjective Hypernyms with Language Models to Increase the Connectivity of Open English Wordnet
- Deep Learning-based Multi Project InP Wafer Simulation for Unsupervised Surface Defect Detection
- Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement
- Continual Hyperbolic Learning of Instances and Classes
- System ASPMT2SMT:Computing ASPMT Theories by SMT Solvers
- ConTextTab: A Semantics-Aware Tabular In-Context Learner
- Formalising Software Requirements using Large Language Models
- Preserving Task-Relevant Information Under Linear Concept Removal
- SNR and Resource Adaptive Deep JSCC for Distributed IoT Image Classification
- Underage Detection through a Multi-Task and MultiAge Approach for Screening Minors in Unconstrained Imagery
- Large Language Models for Detection of Life-Threatening Texts
- Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation
- Enhancing Deepfake Detection using SE Block Attention with CNN
- SatSOM: Saturation Self-Organizing Maps for Continual Learning
- Automated Validation of Textual Constraints Against AutomationML via LLMs and SHACL
- Exploiting Similarities in A/B Testing with Off-Policy Estimation
- ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation
- TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving
- PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis
- Sequential Off-Policy Learning with Logarithmic Smoothing
- Constructing Extreme Heatwave Storylines with Differentiable Climate Models
- Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation
- Robust Unsupervised Adaptation of a Speech Recogniser Using Entropy Minimisation and Speaker Codes
- Spelling-out is not Straightforward: LLMs' Capability of Tokenization from Token to Characters
- Structure and asymptotic preserving deep neural surrogates for uncertainty quantification in multiscale kinetic equations
- Conversational Search: From Fundamentals to Frontiers in the LLM Era
- Leveraging Low-rank Factorizations of Conditional Correlation Matrices in Graph Learning
- Assessing the Resilience of Automotive Intrusion Detection Systems to Adversarial Manipulation
- Deep Learning-Based Digitization of Overlapping ECG Images with Open-Source Python Code
- Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
- Unsupervised Protoform Reconstruction through Parsimonious Rule-guided Heuristics and Evolutionary Search
- Data Driven Diagnosis for Large Cyber-Physical-Systems with Minimal Prior Information
- MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling
- Semantic-decoupled Spatial Partition Guided Point-supervised Oriented Object Detection
- EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence
- Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement
- Size-adaptive Hypothesis Testing for Fairness
- Encoding call-by-push-value in the pi-calculus
- Transformer IMU Calibrator: Dynamic On-body IMU Calibration for Inertial Motion Capture
- Graph Neural Networks for Automatic Addition of Optimizing Components in Printed Circuit Board Schematics
- DanceChat: Large Language Model-Guided Music-to-Dance Generation
- Improving Medical Visual Representation Learning with Pathological-level Cross-Modal Alignment and Correlation Exploration
- Probability Bounding: Post-Hoc Calibration via Box-Constrained Softmax
- LRSLAM: Low-rank Representation of Signed Distance Fields in Dense Visual SLAM System
- Balancing Tails when Comparing Distributions: Comprehensive Equity Index (CEI) with Application to Bias Evaluation in Operational Face Biometrics
- From Images to Insights: Explainable Biodiversity Monitoring with Plain Language Habitat Explanations
- StepProof: Step-by-step verification of natural language mathematical proofs
- On the role of non-linear latent features in bipartite generative neural networks
- ContextRefine-CLIP for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2025
- AniMaker: Multi-Agent Animated Storytelling with MCTS-Driven Clip Generation
- Data-driven Day Ahead Market Prices Forecasting: A Focus on Short Training Set Windows
- SLICK: Selective Localization and Instance Calibration for Knowledge-Enhanced Car Damage Segmentation in Automotive Insurance
- ALBERT: Advanced Localization and Bidirectional Encoder Representations from Transformers for Automotive Damage Evaluation
- Macro Graph of Experts for Billion-Scale Multi-Task Recommendation
- CogStream: Context-guided Streaming Video Question Answering
- J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft
- Beyond Single-User Dialogue: Assessing Multi-User Dialogue State Tracking Capabilities of Large Language Models
- Semantic Localization Guiding Segment Anything Model For Reference Remote Sensing Image Segmentation
- Geometric Jensen-Shannon Divergence Between Gaussian Measures On Hilbert Space
- Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models
- Class-Incremental Learning for Honey Botanical Origin Classification with Hyperspectral Images: A Study with Continual Backpropagation
- Sheet Music Benchmark: Standardized Optical Music Recognition Evaluation
- Table-Text Alignment: Explaining Claim Verification Against Tables in Scientific Papers
- Prediction of steady states in a marine ecosystem model by a machine learning technique
- LLMs Are Not Yet Ready for Deepfake Image Detection
- Low-Barrier Dataset Collection with Real Human Body for Interactive Per-Garment Virtual Try-On
- Starting Positions Matter: A Study on Better Weight Initialization for Neural Network Quantization
- Equitable Mechanism Design for Facility Location
- Boosting Adversarial Transferability for Hyperspectral Image Classification Using 3D Structure-invariant Transformation and Weighted Intermediate Feature Divergence
- Rethinking Generative Human Video Coding with Implicit Motion Transformation
- System Identification Using Kolmogorov-Arnold Networks: A Case Study on Buck Converters
- MF2Summ: Multimodal Fusion for Video Summarization with Temporal Alignment
- It's Not the Target, It's the Background: Rethinking Infrared Small Target Detection via Deep Patch-Free Low-Rank Representations
- PAL: Probing Audio Encoders via LLMs -- Audio Information Transfer into LLMs
- Beyond the Battlefield: Framing Analysis of Media Coverage in Conflict Reporting
- Multi-dimensional Autoscaling of Processing Services: A Comparison of Agent-based Methods
- Data-Driven Soil Organic Carbon Sampling: Integrating Spectral Clustering with Conditioned Latin Hypercube Optimization
- Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series
- Semi-Tensor-Product Based Convolutional Neural Networks
- PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier
- Generative Algorithms for Wildfire Progression Reconstruction from Multi-Modal Satellite Active Fire Measurements and Terrain Height
- Time To Impeach LLM-as-a-Judge: Programs are the Future of Evaluation
- HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration
- Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation
- PoseIDON: 6DoF Pose Estimation with Foundation Model Features for Marine Sediment Burial Mapping
- NeuroPAL: Punctuated Anytime Learning with Neuroevolution for Macromanagement in Starcraft: Brood War
- Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning
- Revisiting Transformers with Insights from Image Filtering and Boosting
- FSATFusion: Frequency-Spatial Attention Transformer for Infrared and Visible Image Fusion
- Can We Infer Confidential Properties of Training Data from LLMs?
- FaceLiVT: Face Recognition using Linear Vision Transformer with Structural Reparameterization For Mobile Device
- Demonstrating Multi-Suction Item Picking at Scale via Multi-Modal Learning of Pick Success
- TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree
- History-Aware Neural Operator: Robust Data-Driven Constitutive Modeling of Path-Dependent Materials
- PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation
- LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture
- An Analysis of Datasets, Metrics and Models in Keyphrase Generation
- Technical Report with Proofs for A Full Picture in Conformance Checking: Efficiently Summarizing All Optimal Alignments
- RealKeyMorph: Keypoints in Real-world Coordinates for Resolution-agnostic Image Registration
- UrbanSense:A Framework for Quantitative Analysis of Urban Streetscapes leveraging Vision Large Language Models
- Formalizing Learning from Language Feedback with Provable Guarantees
- GeoCAD: Local Geometry-Controllable CAD Generation with Large Language Models
- PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting
- Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data
- Research on Audio-Visual Quality Assessment Dataset and Method for User-Generated Omnidirectional Video
- Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements
- Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework
- VGC-Bench: Towards Mastering Diverse Team Strategies in Competitive Pok'emon
- SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation
- Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving
- PyLO: Towards Accessible Learned Optimizers in PyTorch
- Detecting Sockpuppetry on Wikipedia Using Meta-Learning
- Collaborative Min-Max Regret in Grouped Multi-Armed Bandits
- AC/DC: LLM-based Audio Comprehension via Dialogue Continuation
- DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction
- Self-learning signal classifier for decameter coherent scatter radars
- The Alignment Trap: Complexity Barriers
- A Quad-Step Approach to Uncertainty-Aware Deep Learning for Skin Cancer Classification
- Scheduled Interleaved Speech-Text Training for Speech-to-Speech Translation with LLMs
- "Check My Work?": Measuring Sycophancy in a Simulated Educational Context
- Distributionally-Constrained Adversaries in Online Learning
- Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages
- RT-VC: Real-Time Zero-Shot Voice Conversion with Speech Articulatory Coding
- ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs
- Closer to Language than Steam: AI as the Cognitive Engine of a New Productivity Revolution
- VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning
- Discrete Audio Tokens: More Than a Survey!
- Evaluating DNA function understanding in genomic language models using evolutionarily implausible sequences
- Interior-Point Vanishing Problem in Semidefinite Relaxations for Neural Network Verification
- Do Language Models Have Bayesian Brains? Distinguishing Stochastic and Deterministic Decision Patterns within Large Language Models
- Ground Reaction Force Estimation via Time-aware Knowledge Distillation
- Meta-learning Representations for Learning from Multiple Annotators
- Energy Aware Camera Location Search Algorithm for Increasing Precision of Observation in Automated Manufacturing
- Extended Creativity: A Conceptual Framework for Understanding Human-AI Creative Relations