Papers
Mon 25 Aug 2025
346 papers
- How can AI agents support journalists' work? An experiment with designing an LLM-driven intelligent reporting systemLLM agents and tool use → Web, search, and research agents
- Multilevel Analysis of Cryptocurrency News using RAG Approach with Fine-Tuned Mistral Large Language ModelRetrieval-augmented generation → Legal and financial RAG
- Robotic Fire Risk Detection based on Dynamic Knowledge Graph Reasoning: An LLM-Driven Approach with Graph Chain-of-ThoughtLLM reasoning → Spatial and embodied reasoning
- Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- DemoBias: An Empirical Study to Trace Demographic Biases in Vision Foundation ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- Object Detection with Multimodal Large Vision-Language Models: An In-depth ReviewMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Stand on The Shoulders of Giants: Building JailExpert from Previous Attack ExperienceLLM safety and security → Jailbreaking
- Sparse Autoencoders for Low-N Protein Function Prediction and DesignMechanistic interpretability → Interpreting biomedical and science models
- BTW: A Non-Parametric Variance Stabilization Framework for Multimodal Model IntegrationMixture-of-experts → Multimodal MoE models
- Breaking Through Barren Plateaus: Reinforcement Learning Initializations for Deep Variational Quantum CircuitsDeep reinforcement learning methods → Quantum reinforcement learning
- Language Models For Generalised PDDL Planning: Synthesising Sound and Programmatic PoliciesWorld models → World models for language agents
- Data Augmentation Improves Machine UnlearningLLM safety and security → Machine unlearning
- DRTA: Dynamic Reward Scaling for Reinforcement Learning in Time Series Anomaly DetectionDeep reinforcement learning methods → Deep RL algorithms and representations
- How Reliable are LLMs for Reasoning on the Re-ranking task?LLM reasoning → Reasoning benchmarks and evaluation
- CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question AnsweringMultimodal LLMs / vision-language models → Medical vision-language models
- Toward Generalized Autonomous Agents: A Neuro-Symbolic AI Framework for Integrating Social and Technical Support in EducationLLM agents and tool use → Educational agents and math problem solving
- Mining the Long Tail: A Comparative Study of Data-Centric Criticality Metrics for Robust Offline Reinforcement Learning in Autonomous Motion PlanningOffline RL and imitation learning from data → Imitation and offline RL for driving
- Latent Self-Consistency for Reliable Majority-Set Selection in Short- and Long-Answer ReasoningLLM reasoning → Test-time compute and efficient thinking
- PKG-DPO: Optimizing Domain-Specific AI systems with Physics Knowledge Graphs and Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Backprompting: Leveraging Synthetic Production Data for Health Advice GuardrailsLLM safety and security → Safety alignment, refusal and guardrails
- Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- DualSparse-MoE: Coordinating Tensor/Neuron-Level Sparsity with Expert Partition and ReconstructionMixture-of-experts → MoE large language models
- Training Language Model Agents to Find Vulnerabilities with CTF-DojoLLM agents and tool use → Agent threats, guardrails and governance
- FlowVLA: Visual Chain of Thought-based Motion Reasoning for Vision-Language-Action ModelsWorld models → Embodied and robot world models +2
- InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyLLM reasoning → Multimodal reasoning
- MMTok: Multimodal Coverage Maximization for Efficient Inference of VLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- MIRAGE: Scaling Test-Time Inference with Parallel Graph-Retrieval-Augmented Reasoning ChainsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Hermes 4 Technical ReportLLM reasoning → Mathematical reasoning
- Follow My Hold: Hand-Object Interaction Reconstruction through Geometric GuidanceDiffusion models → Diffusion and flow policies for robotics
- Better Language Model-Based Judging Reward Modeling through Scaling Comprehension BoundariesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- SEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Scene-Aware Vectorized Memory Multi-Agent Framework with Cross-Modal Differentiated Quantization VLMs for Visually Impaired AssistanceLLM agents and tool use → Multimodal and embodied agents
- Improving End-to-End Training of Retrieval-Augmented Generation Models via Joint Stochastic ApproximationRetrieval-augmented generation → RAG pipeline design and evaluation
- Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in RecommendationLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational RecommendationsLLM reasoning → Knowledge- and tool-augmented reasoning
- Provable Mixed-Noise Learning with Flow-MatchingDiffusion models → Flow matching, time series and science
- Incorporating Pre-trained Diffusion Models in Solving the Schr"odinger Bridge ProblemDiffusion models → Diffusion foundations and sampling
- Teaching LLMs to Think Mathematically: A Critical Study of Decision-Making via OptimizationLLM reasoning → Mathematical reasoning
- ArgusCogito: Chain-of-Thought for Cross-Modal Synergy and Omnidirectional Reasoning in Camouflaged Object SegmentationLLM reasoning → Multimodal reasoning
- PerPilot: Personalizing VLM-based Mobile Agents via Memory and ExplorationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Visual-CoG: Stage-Aware Reinforcement Learning with Chain of Guidance for Text-to-Image GenerationDeep reinforcement learning methods → RL training of language and agent models
- Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path FindingLLM reasoning → Reasoning for agents, planning and code +1
- A holistic perception system of internal and external monitoring for ground autonomous vehicles: AutoTRUST paradigmEnd-to-end autonomous driving → End-to-end system architecture
- Language Models Coupled with Metacognition Can Outperform Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- Adaptive Learning for Moving Target defence: Enhancing Cybersecurity StrategiesDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Egocentric Instruction-oriented Affordance Prediction via Large Multimodal ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Pandora: Leveraging Code-driven Knowledge Transfer for Unified Structured Knowledge ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- ILRe: Intermediate Layer Retrieval for Context Compression in Causal Language ModelsEfficient LLM inference and serving → Prompt and context compression
- ISALux: Illumination and Segmentation Aware Transformer Employing Mixture of Experts for Low Light Image EnhancementMixture-of-experts → Vision mixture-of-experts
- FasterVoiceGrad: Faster One-step Diffusion-Based Voice Conversion with Adversarial Diffusion Conversion DistillationDiffusion models → Audio, speech and music
- Retrieval Feedback Memory Enhancement Large Model Retrieval Generation MethodRetrieval-augmented generation → RAG pipeline design and evaluation
- AVAM: Universal Training-free Adaptive Visual Anchoring Embedded into Multimodal Large Language Model for Multi-image Question AnsweringMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- LexSemBridge: Fine-Grained Dense Representation Enhancement through Token-Aware Embedding AugmentationRetrieval-augmented generation → Generation and context integration
- Beyond Demographics: Enhancing Cultural Value Survey Simulation with Multi-Stage Personality-Driven Cognitive ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- GEPO: Group Expectation Policy Optimization for Stable Heterogeneous Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Alternating Training-based Label Smoothing Enhances Prompt GeneralizationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Diffusion-Based Data Augmentation for Medical Image SegmentationDiffusion models → Medical imaging and segmentation
- Multi-domain Distribution Learning for De Novo Drug DesignDiffusion models → Flow matching, time series and science
- Attention Debiasing for Token Pruning in Vision Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- DRQA: Dynamic Reasoning Quota Allocation for Controlling Overthinking in Reasoning Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Proximal Supervised Fine-TuningDeep reinforcement learning methods → RL training of language and agent models
- AgentRAN: An Agentic AI Architecture for Autonomous Control of Open 6G NetworksLLM agents and tool use → Agentic AI for wireless networks
- CEIDM: A Controlled Entity and Interaction Diffusion Model for Enhanced Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- SuperGen: An Efficient Ultra-high-resolution Video Generation System with Sketching and TilingDiffusion models → Video generation
- Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Speculative Safety-Aware DecodingEfficient LLM inference and serving → Speculative decoding +1
- RepoTransAgent: Multi-Agent LLM Framework for Repository-Aware Code TranslationLLM agents and tool use → Software engineering coding agents
- Instant Preference Alignment for Text-to-Image Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
- F2RVLM: Boosting Fine-grained Fragment Retrieval for Multi-Modal Long-form Dialogue with Vision Language ModelMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- EMPOWER: Evolutionary Medical Prompt Optimization With Reinforcement LearningDeep reinforcement learning methods → RL for clinical treatment and surgery
- LLM-based Agentic Reasoning Frameworks: A Survey from Methods to ScenariosLLM reasoning → Reasoning for agents, planning and code +1
- On the Edge of Memorization in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Language-Guided Temporal Token Pruning for Efficient VideoLLM ProcessingMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Unlearning as Ablation: Toward a Falsifiable Benchmark for Generative Scientific DiscoveryLLM safety and security → Machine unlearning
- Characterizing the Behavior of Training Mamba-based State Space Models on GPUsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Attacking LLMs and AI Agents: Advertisement Embedding Attacks Against Large Language ModelsLLM agents and tool use → Agent threats, guardrails and governance
- Dynamic Embedding of Hierarchical Visual Features for Efficient Vision-Language Fine-TuningMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Weights-Rotated Preference Optimization for Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Finding Outliers in a Haystack: Anomaly Detection for Large Pointcloud ScenesState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- ControlEchoSynth: Boosting Ejection Fraction Estimation Models via Controlled Video DiffusionDiffusion models → Medical imaging and segmentation
- The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics AnalysisLLM reasoning → Test-time compute and efficient thinking
- ExpertWeave: Efficiently Serving Expert-Specialized Fine-Tuned Adapters at ScaleMixture-of-experts → Mixture of LoRA experts
- EMO-Reasoning: Benchmarking Emotional Reasoning Capabilities in Spoken Dialogue SystemsLLM reasoning → Audio-language model reasoning
- Steering When Necessary: Flexible Steering Large Language Models with BacktrackingMechanistic interpretability → Activation steering methods
- FlowRec: Prior-Informed Flow Matching for Efficient Sequential Recommendation GenerationDiffusion models → Diffusion recommenders
- JCo-MVTON: Jointly Controllable Multi-Modal Diffusion Transformer for Mask-Free Virtual Try-onDiffusion models → 3D, point cloud and scene generation
- GWM: Towards Scalable Gaussian World Models for Robotic ManipulationWorld models → Embodied and robot world models
- TinyGiantVLM: A Lightweight Vision-Language Architecture for Spatial Reasoning under Resource ConstraintsLLM reasoning → Spatial and embodied reasoning +2
- RubikSQL: Lifelong Learning Agentic Knowledge Base as an Industrial NL2SQL SystemLLM agents and tool use → Web, search, and research agents
- HERO: Hierarchical Extrapolation and Refresh for Efficient World ModelsWorld models → Video-generation world models and simulators +1
- Humanizing Machines: Rethinking LLM Anthropomorphism Through a Multi-Level Framework of DesignLLM reasoning → Reasoning benchmarks and evaluation
- TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-SynthesisLLM agents and tool use → Financial trading and forecasting agents
- How good are LLMs at Retrieving Documents in a Specific Domain?
- DLGE: Dual Local-Global Encoding for Generalizable Cross-BCI-Paradigm
- Signals vs. Videos: Advancing Motion Intention Recognition for Human-Robot Collaboration in Construction
- Reading Between the Signs: Predicting Future Suicidal Ideation from Adolescent Social Media Texts
- Multimodal Proposal for an AI-Based Tool to Increase Cross-Assessment of Messages
- The ProLiFIC dataset: Leveraging LLMs to Unveil the Italian Lawmaking Process
- Enhancing Speech Large Language Models through Reinforced Behavior Alignment
All 346
- A Comparative Study of Controllability, Explainability, and Performance in Dysfluency Detection Models
- From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis
- Apex-Centered Spatio-Temporal Rank Pooling and Gradient Attention for Micro-Expression Recognition
- U2UData+: A Scalable Swarm UAVs Autonomous Flight Dataset for Embodied Long-horizon Tasks
- Lightning Fast Caching-based Parallel Denoising Prediction for Accelerating Talking Head Generation
- ImmunoAI: Accelerated Antibody Discovery Using Gradient-Boosted Machine Learning with Thermodynamic-Hydrodynamic Descriptors and 3D Geometric Interface Topology
- 2D Ultrasound Elasticity Imaging of Abdominal Aortic Aneurysms Using Deep Neural Networks
- CellINR: Implicitly Overcoming Photo-induced Artifacts in 4D Live Fluorescence Microscopy
- Large VLM-based Stylized Sports Captioning
- Modeling spectral filtering effects on color-matching functions: Implications for observer variability
- Efficient Model-Based Purification Against Adversarial Attacks for LiDAR Segmentation
- Seeing Like a Designer Without One: A Study on Unsupervised Slide Quality Assessment via Designer Cue Augmentation
- Tricking LLM-Based NPCs into Spilling Secrets
- Prompt-in-Content Attacks: Exploiting Uploaded Inputs to Hijack LLM Behavior
- RL-Finetuned LLMs for Privacy-Preserving Synthetic Rewriting
- Improving Long-term Autoregressive Spatiotemporal Predictions: A Proof of Concept with Fluid Dynamics
- A Note on Graphon-Signal Analysis of Graph Neural Networks
- The Quasi-Creature and the Uncanny Valley of Agency: A Synthesis of Theory and Evidence on User Interaction with Inconsistent Generative AI
- Enhancing Chemical Explainability Through Counterfactual Masking
- SchemaCoder: Automatic Log Schema Extraction Coder with Residual Q-Tree Boosting
- COMET-poly: Machine Translation Metric Grounded in Other Candidates
- Beyond prior knowledge: The predictive role of knowledge-building in Tutor Learning
- Adaptive Visual Navigation Assistant in 3D RPGs
- A Database-Driven Framework for 3D Level Generation with LLMs
- SAT-SKYLINES: 3D Building Generation from Satellite Imagery and Coarse Geometric Priors
- A Deep Learning Application for Psoriasis Detection
- Generic Guard AI in Stealth Game with Composite Potential Fields
- Quantifying The Limits of AI Reasoning: Systematic Neural Network Representations of Algorithms
- Controllable Single-shot Animation Blending with Temporal Conditioning
- Symmetry-Invariant Novelty Heuristics via Unsupervised Weisfeiler-Leman Features
- Weisfeiler-Leman Features for Planning: A 1,000,000 Sample Size Hyperparameter Study
- An Analytical Approach to Privacy and Performance Trade-Offs in Healthcare Data Sharing
- Designing across domains with declarative thinking: Insights from the 96-Eyes ptychographic imager project
- Analise de Desaprendizado de Maquina em Modelos de Classificacao de Imagens Medicas
- DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance
- Collaborative Intelligence: Topic Modelling of Large Language Model use in Live Cybersecurity Operations
- Huracan: A skillful end-to-end data-driven system for ensemble data assimilation and weather prediction
- Impact of Target and Tool Visualization on Depth Perception and Usability in Optical See-Through AR
- Principled Detection of Hallucinations in Large Language Models via Multiple Testing
- The AI in the Mirror: LLM Self-Recognition in an Iterated Public Goods Game
- Integrating gender inclusivity into large language models via instruction tuning
- Vectorized Attention with Learnable Encoding for Quantum Transformer
- Context-Aware Zero-Shot Anomaly Detection in Surveillance Using Contrastive and Predictive Spatiotemporal Modeling
- VERIRL: Boosting the LLM-based Verilog Code Generation via Reinforcement Learning
- From Prediction to Simulation: AlphaFold 3 as a Differentiable Framework for Structural Biology
- VQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results
- DenseRec: Revisiting Dense Content Embeddings for Sequential Transformer-based Recommendation
- SwiftF0: Fast and Accurate Monophonic Pitch Detection
- A Systematic Approach to Predict the Impact of Cybersecurity Vulnerabilities Using LLMs
- LPLC: A Dataset for License Plate Legibility Classification
- Enhancing Trust-Region Bayesian Optimization via Newton Methods
- Why Relational Graphs Will Save the Next Generation of Vision Foundation Models?
- LLM-Driven Intrinsic Motivation for Sparse Reward Reinforcement Learning
- Securing Face and Fingerprint Templates in Humanitarian Biometric Systems
- Low-Rank Tensor Decompositions for the Theory of Neural Networks
- Can Out-of-Distribution Evaluations Uncover Reliance on Shortcuts? A Case Study in Question Answering
- Saccade crossing avoidance as a visual search strategy
- FastAvatar: Instant 3D Gaussian Splatting for Faces from Single Unconstrained Poses
- Integral Transformer: Denoising Attention, Not Too Much Not Too Little
- Information Templates: A New Paradigm for Intelligent Active Feature Acquisition
- Deterministic Coreset Construction via Adaptive Sensitivity Trimming
- Linear cost mutual information estimation and independence test of similar performance as HSIC
- Warm Chat: Diffuse Emotion-aware Interactive Talking Head Avatar with Tree-Structured Guidance
- Not All Visitors are Bilingual: A Measurement Study of the Multilingual Web from an Accessibility Perspective
- ObjFiller3D: Scaling 3D Object Inpainting to Dense Multi-View Consistency
- SafeBimanual: Diffusion-based Trajectory Optimization for Safe Bimanual Manipulation
- ANO : Faster is Better in Noisy Landscape
- From BERT to LLMs: Comparing and Understanding Chinese Classifier Prediction in Language Models
- Efficient Computation of Blackwell Optimal Policies using Rational Functions
- Aligning the Evaluation of Probabilistic Predictions with Downstream Value
- Scene-Agnostic Traversability Labeling and Estimation via a Multimodal Self-supervised Framework
- Demographic Biases and Gaps in the Perception of Sexism in Large Language Models
- Type-Compliant Adaptation Cascades: Adapting Programmatic LM Workflows to Data
- GSVisLoc: Generalizable Visual Localization for Gaussian Splatting Scene Representations
- Disentangling the Factors of Convergence between Brains and Computer Vision Models
- FSA: An Alternative Efficient Implementation of Native Sparse Attention Kernel
- Why Synthetic Isn't Real Yet: A Diagnostic Framework for Contact Center Dialogue Generation
- On the Interplay between Musical Preferences and Personality through the Lens of Language
- Clinical characteristics, complications and outcomes of critically ill patients with Dengue in Brazil, 2012-2024: a nationwide, multicentre cohort study
- Practical GPU Choices for Earth Observation: ResNet-50 Training Throughput on Integrated, Laptop, and Cloud Accelerators
- HypER: Hyperbolic Echo State Networks for Capturing Stretch-and-Fold Dynamics in Chaotic Flows
- Unraveling the cognitive patterns of Large Language Models through module communities
- ST-Raptor: LLM-Powered Semi-Structured Table Question Answering
- Explain and Monitor Deep Learning Models for Computer Vision using Obz AI
- BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding
- Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning
- Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios
- AdLoCo: adaptive batching significantly improves communications efficiency and convergence for Large Language Models
- Introduction to Regularization and Learning Methods for Inverse Problems
- Amortized Sampling with Transferable Normalizing Flows
- Discovering Generalizable Governing Equations for Graph Dynamical Systems with Interpretable Neural Networks
- DiscussLLM: Teaching Large Language Models When to Speak
- PCR-CA: Parallel Codebook Representations with Contrastive Alignment for Multiple-Category App Recommendation
- S2Sent: Nested Selectivity Aware Sentence Representation Learning
- The Computational Complexity of Satisfiability in State Space Models
- Hybrid Quantum-Classical Learning for Multiclass Image Classification
- SpotEdit: Evaluating Visually-Guided Image Editing Methods
- Assessing the Noise Robustness of Class Activation Maps: A Framework for Reliable Model Interpretability
- Learning from Few Samples: A Novel Approach for High-Quality Malcode Generation
- BirdRecorder's AI on Sky: Safeguarding birds of prey by detection and classification of tiny objects around wind turbines
- Frozen in Time: Parameter-Efficient Time Series Transformers via Reservoir-Induced Feature Expansion and Fixed Random Dynamics
- CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics
- HLLM-Creator: Hierarchical LLM-based Personalized Creative Generation
- The AI Data Scientist
- SentiMM: A Multimodal Multi-Agent Framework for Sentiment Analysis in Social Media
- A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
- Detecting and Characterizing Planning in Language Models
- Agri-Query: A Case Study on RAG vs. Long-Context LLMs for Cross-Lingual Technical Question Answering
- Speech-Based Depressive Mood Detection in the Presence of Multiple Sclerosis: A Cross-Corpus and Cross-Lingual Study
- Named Entity Recognition of Historical Texts via Large Language Model
- How Quantization Shapes Bias in Large Language Models
- Quantum-Classical Hybrid Framework for Zero-Day Time-Push GNSS Spoofing Detection
- Neither Valid nor Reliable? Investigating the Use of LLMs as Judges
- Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering
- EventTracer: Fast Path Tracing-based Event Stream Rendering
- Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images
- Arnold: A multi-task, multi-embodiment muscle transformer policy
- FedGreed: A Byzantine-Robust Loss-Based Aggregation Method for Federated Learning
- Dynamic Fusion Multimodal Network for SpeechWellness Detection
- Weisfeiler-Lehman meets Events: An Expressivity Analysis for Continuous-Time Dynamic Graph Neural Networks
- Training Transformers for Mesh-Based Simulations
- HyST: LLM-Powered Hybrid Retrieval over Semi-Structured Tabular Data
- Riemannian Change Point Detection on Manifolds with Robust Centroid Estimation
- Enhancing Differentially Private Linear Regression via Public Second-Moment
- FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction
- Adaptive Quantized Planetary Crater Detection System for Autonomous Space Exploration
- Does simple trump complex? Comparing strategies for adversarial robustness in DNNs
- Towards Continual Visual Anomaly Detection in the Medical Domain
- Development of a Neural Network Model for Currency Detection to aid visually impaired people in Nigeria
- Isolating to Harness: Cross-Division Distillation for Fully Unsupervised Anomaly Detection
- Unseen Speaker and Language Adaptation for Lightweight Text-To-Speech with Adapters
- Previously on... Automating Code Review
- A Novel Framework for Uncertainty Quantification via Proper Scores for Classification and Beyond
- Topology Aware Neural Interpolation of Scalar Fields
- A Retail-Corpus for Aspect-Based Sentiment Analysis with Large Language Models
- Automating Conflict-Aware ACL Configurations with Natural Language Intents
- DesCartes Builder: A Tool to Develop Machine-Learning Based Digital Twins
- Propose and Rectify: A Forensics-Driven MLLM Framework for Image Manipulation Localization
- Enhanced Drift-Aware Computer Vision Architecture for Autonomous Driving
- German4All -- A Dataset and Model for Readability-Controlled Paraphrasing in German
- SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization
- TuningIQA: Fine-Grained Blind Image Quality Assessment for Livestreaming Camera Tuning
- Beam Geometry and Input Dimensionality: Impact on Sparse-Sampling Artifact Correction for Clinical CT with U-Nets
- Generative Feature Imputing -- A Technique for Error-resilient Semantic Communication
- Choice Outweighs Effort: Facilitating Complementary Knowledge Fusion in Federated Learning via Re-calibration and Merit-discrimination
- Understanding Subword Compositionality of Large Language Models
- Debiasing Multilingual LLMs in Cross-lingual Latent Space
- Toward Substantive Intersectional Algorithmic Fairness: Desiderata for a Feminist Approach
- See What You Need: Query-Aware Visual Intelligence through Reasoning-Perception Loops
- Learning to Detect Label Errors by Making Them: A Method for Segmentation and Object Detection Datasets
- AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation
- Gaze into the Heart: A Multi-View Video Dataset for rPPG and Health Biomarkers Estimation
- Feature-Refined Unsupervised Model for Loanword Detection
- Information availability in different languages and various technological constraints related to multilinguism on the Internet
- EndoUFM: Utilizing Foundation Models for Monocular depth estimation of endoscopic images
- Evaluating the Representation of Vowels in Wav2Vec Feature Extractor: A Layer-Wise Analysis Using MFCCs
- Entanglement Detection with Quantum-inspired Kernels and SVMs
- WOMAC: A Mechanism For Prediction Competitions
- Riemannian Optimization for LoRA on the Stiefel Manifold
- A Defect Classification Framework for AI-Based Software Systems (AI-ODC)
- Designing Practical Models for Isolated Word Visual Speech Recognition
- UniAPO: Unified Multimodal Automated Prompt Optimization
- Edge-Enhanced Vision Transformer Framework for Accurate AI-Generated Image Detection
- Camera Pose Refinement via 3D Gaussian Splatting
- Vocoder-Projected Feature Discriminator
- Spectrum Prediction in the Fractional Fourier Domain with Adaptive Filtering
- Ada-TransGNN: An Air Quality Prediction Model Based On Adaptive Graph Convolutional Networks
- Speech Discrete Tokens or Continuous Features? A Comparative Analysis for Spoken Language Understanding in SpeechLLMs
- VISA: Group-wise Visual Token Selection and Aggregation via Graph Summarization for Efficient MLLMs Inference
- Box-Level Class-Balanced Sampling for Active Object Detection
- SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data Selection
- HLG: Comprehensive 3D Room Construction via Hierarchical Layout Generation
- A Contrastive Learning-Guided Confident Meta-learning for Zero Shot Anomaly Detection
- FAIRGAMER: Evaluating Social Biases in LLM-Based Video Game NPCs
- Limits of message passing for node classification: How class-bottlenecks restrict signal-to-noise ratio
- Limitations of Normalization in Attention Mechanism
- TemCoCo: Temporally Consistent Multi-modal Video Fusion with Visual-Semantic Collaboration
- UniSino: Physics-Driven Foundational Model for Universal CT Sinogram Standardization
- Scalable Engine and the Performance of Different LLM Models in a SLURM based HPC architecture
- MeshSplat: Generalizable Sparse-View Surface Reconstruction via Gaussian Splatting
- Sketchpose: Learning to Segment Cells with Partial Annotations
- Adaptive Output Steps: FlexiSteps Network for Dynamic Trajectory Prediction
- Zero-shot Context Biasing with Trie-based Decoding using Synthetic Multi-Pronunciation
- Robust Anomaly Detection in Industrial Environments via Meta-Learning
- Interpretable Early Failure Detection via Machine Learning and Trace Checking-based Monitoring
- Algebraic Approach to Ridge-Regularized Mean Squared Error Minimization in Minimal ReLU Neural Network
- Speculating LLMs' Chinese Training Data Pollution from Their Tokens
- Towards Trustworthy Breast Tumor Segmentation in Ultrasound using Monte Carlo Dropout and Deep Ensembles for Epistemic Uncertainty Estimation
- ISACL: Internal State Analyzer for Copyrighted Training Data Leakage
- Puzzle: Scheduling Multiple Deep Learning Models on Mobile Device with Heterogeneous Processors
- Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
- DiffusionGS: Generative Search with Query Conditioned Diffusion in Kuaishou
- Talking to Robots: A Practical Examination of Speech Foundation Models for HRI Applications
- From Global to Local: Social Bias Transfer in CLIP
- DroneKey: Drone 3D Pose Estimation in Image Sequences using Gated Key-representation and Pose-adaptive Learning
- Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks
- EEG-FM-Bench: A Comprehensive Benchmark for the Systematic Evaluation and Diagnostic Analyses of EEG Foundation Models
- SMITE: Enhancing Fairness in LLMs through Optimal In-Context Example Selection via Dynamic Validation
- Layerwise Importance Analysis of Feed-Forward Networks in Transformer-based Language Models
- CMFDNet: Cross-Mamba and Feature Discovery Network for Polyp Segmentation
- Segmentation and Classification of Pap Smear Images for Cervical Cancer Detection Using Deep Learning
- Few-shot Human Action Anomaly Detection via a Unified Contrastive Learning Framework
- How Do LLM-Generated Texts Impact Term-Based Retrieval Models?
- NGD: Neural Gradient Based Deformation for Monocular Garment Reconstruction
- InSituRes: A Physics-Informed Same-Grid Model for Enhanced Dynamic X-ray Micro-CT Reconstructions
- MolMark: Safeguarding Molecular Structures through Learnable Atom-Level Watermarking
- Adaptive Ensemble Learning with Gaussian Copula for Load Forecasting
- Benchmarking Class Activation Map Methods for Explainable Brain Hemorrhage Classification on Hemorica Dataset
- Rethinking Federated Learning Over the Air: The Blessing of Scaling Up
- Database Normalization via Dual-LLM Self-Refinement
- Text Meets Topology: Rethinking Out-of-distribution Detection in Text-Rich Networks
- Robustness Feature Adapter for Efficient Adversarial Training
- TiKMiX: Take Data Influence into Dynamic Mixture for Language Model Pre-training
- Consistent Opponent Modeling in Imperfect-Information Games
- CoCoA: Confidence and Context-Aware Adaptive Decoding for Resolving Knowledge Conflicts in Large Language Models
- A Taxonomy of Transcendence
- Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection
- M^3-GloDets: Multi-Region and Multi-Scale Analysis of Fine-Grained Diseased Glomerular Detection
- Heterogeneous co-occurrence embedding for visual information exploration
- Spacer: Towards Engineered Scientific Inspiration
- Rethinking the Detail-Preserved Completion of Complex Tubular Structures based on Point Cloud: a Dataset and a Benchmark
- FloraSyntropy-Net: Scalable Deep Learning with Novel FloraSyntropy Archive for Large-Scale Plant Disease Diagnosis
- Longitudinal Progression Prediction of Alzheimer's Disease with Tabular Foundation Model
- Citizen Centered Climate Intelligence: Operationalizing Open Tree Data for Urban Cooling and Eco-Routing in Indian Cities
- SurveyGen: Quality-Aware Scientific Survey Generation with Large Language Models
- SEBVS: Synthetic Event-based Visual Servoing for Robot Navigation and Manipulation
- HyTver: A Novel Loss Function for Longitudinal Multiple Sclerosis Lesion Segmentation
- Few-Shot Pattern Detection via Template Matching and Regression
- Wound3DAssist: A Practical Framework for 3D Wound Assessment
- Quantum Graph Attention Network: A Novel Quantum Multi-Head Attention Mechanism for Graph Learning
- The Statistical Fairness-Accuracy Frontier
- Improving Interpretability in Alzheimer's Prediction via Joint Learning of ADAS-Cog Scores
- A Weighted Vision Transformer-Based Multi-Task Learning Framework for Predicting ADAS-Cog Scores
- Evaluating Movement Initiation Timing in Ultimate Frisbee via Temporal Counterfactuals
- Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions
- A Proportional-Integral Controller-Incorporated SGD Algorithm for High Efficient Latent Factor Analysis
- ChartMaster: Advancing Chart-to-Code Generation with Real-World Charts and Chart Similarity Reinforcement Learning
- HotSpotter - Patterned Species Instance Recognition
- The Root Finding Problem Revisited: Beyond the Robbins-Monro procedure
- Exploring Efficient Learning of Small BERT Networks with LoRA and DoRA
- UQ: Assessing Language Models on Unsolved Questions
- IDU: Incremental Dynamic Update of Existing 3D Virtual Environments with New Imagery Data
- CausalSent: Interpretable Sentiment Classification with RieszNet
- MetaGen: A DSL, Database, and Benchmark for VLM-Assisted Metamaterial Generation
- Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection
- Consciousness as a Functor