Papers
Tue 29 Apr 2025
301 papers
- An Ontology-Driven Graph RAG for Legal Norms: A Structural, Temporal, and Deterministic ApproachRetrieval-augmented generation → Legal and financial RAG
- HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis GenerationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark DetectionDiffusion models → Medical imaging and segmentation
- CachePrune: Teaching LLMs What Not to Follow via KV-Cache EditingEfficient LLM inference and serving → KV cache optimization +1
- SecRepoBench: Benchmarking Code Agents for Secure Code Completion in Real-World RepositoriesLLM agents and tool use → Agent threats, guardrails and governance
- TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-ExpertsMixture-of-experts → Mixture of LoRA experts
- Erased but Not Forgotten: How Backdoors Compromise Concept ErasureDiffusion models → Robustness, privacy and adversarial aspects
- Automated Parking Trajectory Generation Using Deep Reinforcement LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
- A 3D pocket-aware and affinity-guided diffusion model for lead optimizationDiffusion models → Flow matching, time series and science
- Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain GeneralizationMixture-of-experts → Expert routing strategies
- NeuRel-Attack: Neuron Relearning for Safety Disalignment in Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Multimodal Large Language Models for Medicine: A Comprehensive SurveyMultimodal LLMs / vision-language models → Medical vision-language models
- YoChameleon: Personalized Vision and Language GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Toward Efficient Exploration by Large Language Model AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- TesserAct: Learning 4D Embodied World ModelsWorld models → Embodied and robot world models
- XPG-RL: Reinforcement Learning with Explainable Priority Guidance for Efficiency-Boosted Mechanical SearchDeep reinforcement learning methods → RL for robot locomotion and manipulation
- AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM SecurityLLM agents and tool use → Agent threats, guardrails and governance +1
- DS_FusionNet: Dynamic Dual-Stream Fusion with Bidirectional Knowledge Distillation for Plant Disease RecognitionKnowledge distillation → Detection and dense prediction distillation
- Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question DecompositionLLM reasoning → Prompting and chain-of-thought reasoning +1
- Towards Understanding the Nature of Attention with Low-Rank Sparse DecompositionMechanistic interpretability → Circuits and mechanistic analysis
- ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step VerificationLLM reasoning → Clinical and biomedical applications
- Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQRDeep reinforcement learning methods → RL for games and combinatorial optimization
- Domain-Agnostic Scalable AI Safety Ensuring FrameworkDeep reinforcement learning methods → Safe and constrained RL
- DYNAMAX: Dynamic computing for Transformers and Mamba based architecturesState-space sequence models (S4, Mamba) → Core SSM architectures for language +1
- Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in HealthcareSynthetic data and self-improvement for LLMs → Medical synthetic data and agents
- When Testing AI Tests Us: Safeguarding Mental Health on the Digital FrontlinesLLM safety and security → Prompt injection and agent security
- CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck ModelsRetrieval-augmented generation → Medical and biomedical RAG
- Return Capping: Sample-Efficient CVaR Policy Gradient OptimisationDeep reinforcement learning methods → RL theory and sample complexity
- FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Token-Efficient RL for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- GaussTrap: Stealthy Poisoning Attacks on 3D Gaussian Splatting for Targeted Scene ConfusionLLM safety and security → Backdoor and data poisoning attacks
- Ascendra: Dynamic Request Prioritization for Efficient LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- A Teacher-Student MPC-PPO Coupled Reinforcement Learning Framework for Winter Temperature Control of Solar Greenhouses in Northern ChinaDeep reinforcement learning methods → RL for energy, networks and operations
- SoccerDiffusion: Toward Learning End-to-End Humanoid Robot Soccer from Gameplay RecordingsDiffusion models → Diffusion and flow policies for robotics
- Integrating Human Feedback into a Reinforcement Learning-Based Framework for Adaptive User InterfacesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Computational Reasoning of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- JTreeformer: Graph-Transformer via Latent-Diffusion Model for Molecular GenerationDiffusion models → Flow matching, time series and science
- Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference CorruptionLLM reasoning → Reasoning for agents, planning and code
- DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered GraphsDiffusion models → Flow matching, time series and science
- Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with TransformersLLM reasoning → Test-time compute and efficient thinking
- Intelligent Task Offloading in VANETs: A Hybrid AI-Driven Approach for Low-Latency and Energy EfficiencyDeep reinforcement learning methods → RL for energy, networks and operations
- UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and GranularitiesRetrieval-augmented generation → Multimodal RAG
- Beyond the Last Answer: Your Reasoning Trace Uncovers More than You ThinkLLM reasoning → Reasoning benchmarks and evaluation
- In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion TransformerDiffusion models → Image generation, text-to-image and editing
- Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous SystemsDeep reinforcement learning methods → Quantum reinforcement learning
- SpaRE: Enhancing Spatial Reasoning in Vision-Language Models with Synthetic DataLLM reasoning → Spatial and embodied reasoning +2
- LDPoly: Latent Diffusion for Polygonal Road Outline Extraction in Large-Scale Topographic MappingDiffusion models → Diffusion and flow policies for robotics
- AlignDiT: Multimodal Aligned Diffusion Transformer for Synchronized Speech GenerationDiffusion models → Audio, speech and music
- DiffusionRIR: Room Impulse Response Interpolation using Diffusion ModelsDiffusion models → Audio, speech and music
- ReasonIR: Training Retrievers for Reasoning TasksLLM reasoning → Knowledge- and tool-augmented reasoning
- Independent Learning in Performative Markov Potential GamesDeep reinforcement learning methods → RL theory and sample complexity
- Reinforcement Learning for Reasoning in Large Language Models with One Training ExampleLLM reasoning → Reinforcement learning for reasoning
- TriniMark: A Robust Generative Speech Watermarking Method for Trinity-Level TraceabilityDiffusion models → Robustness, privacy and adversarial aspects +1
- PRISM: Projection-based Reward Integration for Scene-Aware Real-to-Sim-to-Real Transfer with Few DemonstrationsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Dynamic Attention Analysis for Backdoor Detection in Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- MambaMoE: Mixture-of-Spectral-Spatial-Experts State Space Model for Hyperspectral Image ClassificationMixture-of-experts → Vision mixture-of-experts +1
- MuRAL: A Multi-Resident Ambient Sensor Dataset Annotated with Natural Language for Activities of Daily LivingLLM reasoning → Spatial and embodied reasoning
- Token-Efficient Prompt Injection Attack: Provoking Cessation in LLM Reasoning via Adaptive Token CompressionLLM reasoning → Reasoning for agents, planning and code +2
- Group Relative Knowledge Distillation: Learning from Teacher's Relational Inductive BiasKnowledge distillation → General knowledge distillation methods
- Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed InstructionLLM safety and security → Prompt injection and agent security
- The Estimation of Continual Causal Effect for Dataset Shifting StreamsKnowledge distillation → General knowledge distillation methods
- Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object PerceptionMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- A Survey on GUI Agents with Foundation Models Enhanced by Reinforcement LearningLLM agents and tool use → GUI and mobile agents +1
- TAMO: Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data in Cloud-Native SystemsLLM agents and tool use → Software engineering coding agents
- Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated UserLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Reviving Any-Subset Autoregressive Models with Principled Parallel Sampling and Speculative DecodingEfficient LLM inference and serving → Diffusion LLM and MoE inference
- FT-MoE: Sustainable-learning Mixture of Experts for Fault-Tolerant ComputingMixture-of-experts → Efficient MoE training and inference systems
- Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural NetworksKnowledge distillation → Distillation for spiking neural networks
- ARCS: Agentic Retrieval-Augmented Code Synthesis with Iterative RefinementRetrieval-augmented generation → RAG for code +1
- RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function LibraryLLM reasoning → Mathematical reasoning +1
- kAgent: An execution-guided crash resolution agent for the Linux kernelLLM agents and tool use → Software engineering coding agents
- ADiff4TPP: Asynchronous Diffusion Models for Temporal Point ProcessesDiffusion models → Flow matching, time series and science
- When Memory Becomes a Vulnerability: Towards Multi-turn Jailbreak Attacks against Text-to-Image Generation SystemsLLM safety and security → Vision-language and text-to-image safety
- PRISM-DP: Spatial Pose-based Observations for Diffusion-Policies via Segmentation, Mesh Generation, and Pose TrackingDiffusion models → Diffusion and flow policies for robotics
- CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge DevicesLLM agents and tool use → General LLM agent frameworks and benchmarks
- MicarVLMoE: A Modern Gated Cross-Aligned Vision-Language Mixture of Experts Model for Medical Image Captioning and Report GenerationMixture-of-experts → Medical and biomedical MoE
- Towards Flow-Matching-based TTS without Classifier-Free GuidanceDiffusion models → Audio, speech and music
- Decentralized AI-driven IoT Architecture for Privacy-Preserving and Latency-Optimized Healthcare in Pandemic and Critical Care Scenarios
- Unveiling the Underwater World: CLIP Perception Model-Guided Underwater Image Enhancement
- Spatiotemporal Emotional Synchrony in Dyadic Interactions: The Role of Speech Conditions in Facial and Vocal Affective Alignment
- An Optimized Evacuation Plan for an Active-Shooter Situation Constrained by Network Capacity
- Blockbuster, Part 1: Block-level AI Operator Fusion
- AI-Based Crypto Tokens: The Illusion of Decentralized AI?
- DeltaDPD: Exploiting Dynamic Temporal Sparsity in Recurrent Neural Networks for Energy-Efficient Wideband Digital Predistortion
- An Early Warning Model for Forced Displacement
- Data extraction and processing methods to aid the study of driving behaviors at intersections in naturalistic driving
- Out-of-Distribution Detection in Heterogeneous Graphs via Energy Propagation
- Floating Car Observers in Intelligent Transportation Systems: Detection Modeling and Temporal Insights
- Feature Staleness Aware Incremental Learning for CTR Prediction
- Explainable AI for Correct Root Cause Analysis of Product Quality in Injection Moulding
- Leveraging Depth Maps and Attention Mechanisms for Enhanced Image Inpainting
- Unconstrained Large-scale 3D Reconstruction and Rendering across Altitudes
- ROSA: A Knowledge-based Solution for Robot Self-Adaptation
- Convolutional Autoencoders for Data Compression and Anomaly Detection in Small Satellite Technologies
- Can a Quantum Support Vector Machine algorithm be utilized to identify Key Biomarkers from Multi-Omics data of COVID19 patients?
- A Framework to Assess the Persuasion Risks Large Language Model Chatbots Pose to Democratic Societies
- Linguistic Complexity and Socio-cultural Patterns in Hip-Hop Lyrics
- Improving Phishing Email Detection Performance of Small Large Language Models
- From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models
- Gradient Attention Map Based Verification of Deep Convolutional Neural Networks with Application to X-ray Image Datasets
All 301
- MemeBLIP2: A novel lightweight multimodal system to detect harmful memes
- Theoretical Foundations for Semantic Cognition in Artificial Intelligence
- Pretraining Large Brain Language Model for Active BCI: Silent Speech
- A Cost-Effective LLM-based Approach to Identify Wildlife Trafficking in Online Marketplaces
- Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time Series
- FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
- Automatic Legal Writing Evaluation of LLMs
- Generate-then-Verify: Reconstructing Data from Limited Published Statistics
- Graph Synthetic Out-of-Distribution Exposure with Large Language Models
- Turning Up the Heat: Assessing 2-m Temperature Forecast Errors in AI Weather Prediction Models During Heat Waves
- ISS-Geo142: A Benchmark for Geolocating Astronaut Photography from the International Space Station
- Small or Large? Zero-Shot or Finetuned? Guiding Language Model Choice for Specialized Applications in Healthcare
- Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions
- Light Weight CNN for classification of Brain Tumors from MRI Images
- LIFT: LLM-Based Pragma Insertion for HLS via GNN Supervised Fine-Tuning
- GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model
- AffectEval: A Modular and Customizable Framework for Affective Computing
- Federated One-Shot Learning with Data Privacy and Objective-Hiding
- Efficient LLMs with AMP: Attention Heads and MLP Pruning
- Dance Style Recognition Using Laban Movement Analysis
- Detecting Manipulated Contents Using Knowledge-Grounded Inference
- Evaluation and Verification of Physics-Informed Neural Models of the Grad-Shafranov Equation
- Emotion Recognition in Contemporary Dance Performances Using Laban Movement Analysis
- SMOGAN: Synthetic Minority Oversampling with GAN Refinement for Imbalanced Regression
- Legilimens: Performant Video Analytics on the System-on-Chip Edge
- QAOA Parameter Transferability for Maximum Independent Set using Graph Attention Networks
- LLM Enhancer: Merged Approach using Vector Embedding for Reducing Large Language Model Hallucinations with External Knowledge
- A Formalism for Optimal Search with Dynamic Heuristics (Extended Version)
- A Hybrid Mixture of t-Factor Analyzers for Clustering High-dimensional Data
- Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts
- A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
- On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks
- R^2VFL: A Robust Random Vector Functional Link Network with Huber-Weighted Framework
- GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D Reconstruction
- A Brief Review for Compression and Transfer Learning Techniques in DeepFake Detection
- Frequency Feature Fusion Graph Network For Depression Diagnosis Via fNIRS
- A Hamiltonian Higher-Order Elasticity Framework for Dynamic Diagnostics(2HOED)
- Modeling and Performance Analysis for Semantic Communications Based on Empirical Results
- FFCBA: Feature-based Full-target Clean-label Backdoor Attacks
- SFIBA: Spatial-based Full-target Invisible Backdoor Attacks
- Phishing URL Detection using Bi-LSTM
- Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
- Model Connectomes: A Generational Approach to Data-Efficient Language Models
- X-Fusion: Introducing New Modality to Frozen Large Language Models
- Hubs and Spokes Learning: Efficient and Scalable Collaborative Machine Learning
- ACE: A Security Architecture for LLM-Integrated App Systems
- LTLf Adaptive Synthesis for Multi-Tier Goals in Nondeterministic Domains
- Provably faster randomized and quantum algorithms for k-means clustering via uniform sampling
- Jekyll-and-Hyde Tipping Point in an AI's Behavior
- Equivariant non-linear maps for neural networks on homogeneous spaces
- SetKE: Knowledge Editing for Knowledge Elements Overlap
- SVD Based Least Squares for X-Ray Pneumonia Classification Using Deep Features
- Softpick: No Attention Sink, No Massive Activations with Rectified Softmax
- OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System Verification
- Information Gravity: A Field-Theoretic Model for Token Selection in Large Language Models
- Deep Learning Characterizes Depression and Suicidal Ideation from Eye Movements
- Scenario-based Compositional Verification of Autonomous Systems with Neural Perception
- Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework without Data
- Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity
- End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset Evaluation
- Statistical and Predictive Analysis to Identify Risk Factors and Effects of Post COVID-19 Syndrome
- MOSIC: Model-Agnostic Optimal Subgroup Identification with Multi-Constraint for Improved Reliability
- A Giant-Step Baby-Step Classifier For Scalable and Real-Time Anomaly Detection In Industrial Control Systems and Water Treatment Systems
- Dual Explanations via Subgraph Matching for Malware Detection
- When Should AI Follow? Task Structure and Joint Adaptation by Human and AI Agents
- Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
- Evaluating Generative Models for Tabular Data: Novel Metrics and Benchmarking
- Does Feedback Help in Bandits with Arm Erasures?
- Guessing Efficiently for Constrained Subspace Approximation
- The Leaderboard Illusion
- Preference-centric Bandits: Optimality of Mixtures and Regret-efficient Algorithms
- FLIM-based Salient Object Detection Networks with Adaptive Decoders
- Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
- AI-GenBench: A New Ongoing Benchmark for AI-Generated Image Detection
- Tabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data
- X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation
- Towards Easy and Realistic Network Infrastructure Testing for Large-scale Machine Learning
- Fostering Self-Directed Growth with Generative AI: Toward a New Learning Analytics Framework
- JaccDiv: A Metric and Benchmark for Quantifying Diversity of Generated Marketing Text in the Music Industry
- Mitigating the Structural Bias in Graph Adversarial Defenses
- Disjunctive and Conjunctive Normal Form Explanations of Clusters Using Auxiliary Information
- Universal language model with the intervention of quantum theory
- RadSAM: Segmenting 3D radiological images with a 2D promptable model
- CMT: A Cascade MAR with Topology Predictor for Multimodal Conditional CAD Generation
- Hybrid quantum recurrent neural network for remaining useful life prediction of turbofan engines
- An approach to melodic segmentation and classification based on filtering with the Haar-wavelet
- The When and How of Target Variable Transformations
- Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining
- Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges
- Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning
- Q-Fusion: Diffusing Quantum Circuits
- Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM
- Approximate Lifted Model Construction
- Using LLMs in Generating Design Rationale for Software Architecture Decisions
- ECOSoundSet: a finely annotated dataset for the automated acoustic identification of Orthoptera and Cicadidae in North, Central and temperate Western Europe
- Graph-Based Fault Diagnosis for Rotating Machinery: Adaptive Segmentation and Structural Feature Integration
- In defence of post-hoc explanations in medical AI
- Event-based Optical Marker Systems: A survey
- Unsupervised Surrogate Anomaly Detection
- Enhancing Vulnerability Reports with Automated and Augmented Description Summarization
- Learning a General Model: Folding Clothing with Topological Dynamics
- BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification
- Can LLMs Detect Intrinsic Hallucinations in Paraphrasing and Machine Translation?
- What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models
- Efficient Listener: Dyadic Facial Motion Synthesis via Action Diffusion
- OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation
- Are Information Retrieval Approaches Good at Harmonising Longitudinal Survey Questions in Social Science?
- Non-native Children's Automatic Speech Assessment Challenge (NOCASA)
- Occlusion-aware Driver Monitoring System using the Driver Monitoring Dataset
- The Limits of AI Explainability: An Algorithmic Information Theory Approach
- CoCo-Bench: A Comprehensive Code Benchmark For Multi-task Large Language Model Evaluation
- FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection
- Advance Fake Video Detection via Vision Transformers
- A Generative-AI-Driven Claim Retrieval System Capable of Detecting and Retrieving Claims from Social Media Platforms in Multiple Languages
- Explanations Go Linear: Post-hoc Explainability for Tabular Data with Interpretable Meta-Encoding
- SFi-Former: Sparse Flow Induced Attention for Graph Transformer
- TrueFake: A Real World Case Dataset of Last Generation Fake Images also Shared on Social Networks
- Image deidentification in the XNAT ecosystem: use cases and solutions
- Federated learning, ethics, and the double black box problem in medical AI
- Learning and Generalization with Mixture Data
- RuleKit 2: Faster and simpler rule learning
- Combatting Dimensional Collapse in LLM Pre-Training Data via Diversified File Selection
- Cooking Up Creativity: Enhancing LLM Creativity through Structured Recombination
- Decision-centric fairness: Evaluation and optimization for resource allocation problems
- Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation
- On Stochastic Rounding with Few Random Bits
- Cognitive maps are generative programs
- PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time Retrieval
- Data Driven Deep Learning for Correcting Global Climate Model Projections of SST and DSL in the Bay of Bengal
- Sobolev norm inconsistency of kernel interpolation
- The Hidden Risks of LLM-Generated Web Application Code: A Security-Centric Evaluation of Code Generation Capabilities in Large Language Models
- Information Retrieval in the Age of Generative AI: The RGB Model
- WenyanGPT: A Large Language Model for Classical Chinese Tasks
- EfficientHuman: Efficient Training and Reconstruction of Moving Human using Articulated 2D Gaussian
- TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models
- Purifying, Labeling, and Utilizing: A High-Quality Pipeline for Small Object Detection
- PartHOI: Part-based Hand-Object Interaction Transfer via Generalized Cylinders
- Hydra: Marker-Free RGB-D Hand-Eye Calibration
- ClonEval: An Open Voice Cloning Benchmark
- Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects
- Digital Shielding for Cross-Domain Wi-Fi Signal Adaptation using Relativistic Average Generative Adversarial Network
- Balanced Online Class-Incremental Learning via Dual Classifiers
- Generate more than one child in your co-evolutionary semi-supervised learning GAN
- BrAIcht, a theatrical agent that speaks like Bertolt Brecht's characters
- Revisiting the MIMIC-IV Benchmark: Experiments Using Language Models for Electronic Health Records
- Autoencoder Models for Point Cloud Environmental Synthesis from WiFi Channel State Information: A Preliminary Study
- DeeP-Mod: Deep Dynamic Programming based Environment Modelling using Feature Extraction
- Beyond the Horizon: Decoupling Multi-View UAV Action Recognition via Partial Order Transfer
- Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions
- Breaking Down Monocular Ambiguity: Exploiting Temporal Evolution for 3D Lane Detection
- Wavelet-Filtering of Symbolic Music Representations for Folk Tune Segmentation and Classification
- SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects
- Quality-factor inspired deep neural network solver for solving inverse scattering problems
- SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation
- UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation
- Style-Adaptive Detection Transformer for Single-Source Domain Generalized Object Detection
- Large-scale visual SLAM for in-the-wild videos
- Enhancing LLM Language Adaption through Cross-lingual In-Context Pre-training
- Full-field surrogate modeling of cardiac function encoding geometric variability
- Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models
- LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs
- LymphAtlas- A Unified Multimodal Lymphoma Imaging Repository Delivering AI-Enhanced Diagnostic Insight
- Enhancing News Recommendation with Hierarchical LLM Prompting
- Team ACK at SemEval-2025 Task 2: Beyond Word-for-Word Machine Translation for English-Korean Pairs
- APG-MOS: Auditory Perception Guided-MOS Predictor for Synthetic Speech
- On Psychology of AI -- Does Primacy Effect Affect ChatGPT and Other LLMs?
- Multidimensional precipitation index prediction based on CNN-LSTM hybrid framework
- PixelHacker: Image Inpainting with Structural and Semantic Consistency
- GaLore 2: Large-Scale LLM Pre-Training by Gradient Low-Rank Projection
- AI Assisted Cervical Cancer Screening for Cytology Samples in Developing Countries
- Learning Laplacian Positional Encodings for Heterophilous Graphs
- Understanding GNNs and Homophily in Dynamic Node Classification
- Plant Disease Detection through Multimodal Large Language Models and Convolutional Neural Networks
- GarmentX: Autoregressive Parametric Representations for High-Fidelity 3D Garment Generation
- FourierSpecNet: Neural Collision Operator Approximation Inspired by the Fourier Spectral Method for Solving the Boltzmann Equation
- Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs
- SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses
- Creating Your Editable 3D Photorealistic Avatar with Tetrahedron-constrained Gaussian Splatting
- Nonlinear Computation with Linear Optics via Source-Position Encoding
- Evolution of Gaussians in the Hellinger-Kantorovich-Boltzmann gradient flow
- Partial Answer of How Transformers Learn Automata
- Manifold Clustering with Schatten p-norm Maximization
- FiLA-Video: Spatio-Temporal Compression for Fine-Grained Long Video Understanding
- Neural Stereo Video Compression with Hybrid Disparity Compensation
- GSFeatLoc: Visual Localization Using Feature Correspondence on 3D Gaussian Splatting
- Sparse2DGS: Geometry-Prioritized Gaussian Splatting for Surface Reconstruction from Sparse Views
- Generative Learning for Slow Manifolds and Bifurcation Diagrams
- DMDTEval: An Evaluation and Analysis of LLMs on Disambiguation in Multi-domain Translation
- AKIBoards: A Structure-Following Multiagent System for Predicting Acute Kidney Injury
- TTTFusion: A Test-Time Training-Based Strategy for Multimodal Medical Image Fusion in Surgical Robots
- Automated Unit Test Case Generation: A Systematic Literature Review
- What Causes Knowledge Loss in Multilingual Language Models?
- Local Prompt Optimization
- Sparse mixed linear modeling with anchor-based guidance for high-entropy alloy discovery
- Narrative-Centered Emotional Reflection: An Early Prototype for AI-Supported Emotional Self-Reflection
- A Picture is Worth a Thousand Prompts? Efficacy of Iterative Human-Driven Prompt Refinement in Image Regeneration Tasks
- DRO: Doppler-Aware Direct Radar Odometry
- Labeling Case Similarity based on Co-Citation of Legal Articles in Judgment Documents with Empirical Dispute-Based Evaluation
- Fine-Grained Classification: Connecting Metadata via Cross-Contrastive Pre-Training
- Bayesian Experimental Design for Model Discrepancy Calibration: An Auto-Differentiable Ensemble Kalman Inversion Approach
- Leveraging Action Relational Structures for Integrated Learning and Planning