Papers
Fri 12 Sep 2025
250 papers
- HetaRAG: Hybrid Deep Retrieval-Augmented Generation across Heterogeneous Data StoresRetrieval-augmented generation → RAG pipeline design and evaluation
- FHIR-AgentBench: Benchmarking LLM Agents for Realistic Interoperable EHR Question AnsweringLLM agents and tool use → Medical and scientific domain agents
- On LLM-Based Scientific Inductive Reasoning Beyond EquationsLLM reasoning → Reasoning benchmarks and evaluation
- Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMsLLM agents and tool use → Reinforcement learning for LLM agents
- Cosine-Similarity Routing with Semantic Anchors for Interpretable Mixture-of-Experts Language ModelsMixture-of-experts → Expert routing strategies
- Beyond Accuracy: Rethinking Hallucination and Regulatory Response in Generative AILLM reasoning → Hallucination detection and mitigation
- InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical ReasoningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- V-Math: An Agentic Approach to the Vietnamese National High School Graduation Mathematics ExamsLLM agents and tool use → Educational agents and math problem solving
- OnlineHOI: Towards Online Human-Object Interaction Generation and PerceptionState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Humor in Pixels: Benchmarking Large Multimodal Models Understanding of Online ComicsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- HalluField: Detecting LLM Hallucinations via Field-Theoretic ModelingLLM reasoning → Hallucination detection and mitigation
- Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- Reasoning Under Uncertainty: Exploring Probabilistic Reasoning Capabilities of LLMsLLM reasoning → Test-time compute and efficient thinking
- Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human OversightLLM agents and tool use → Agent threats, guardrails and governance
- Coordinated Reinforcement Learning Prefetching Architecture for Multicore SystemsDeep reinforcement learning methods → RL training of language and agent models
- Maestro: Self-Improving Text-to-Image Generation via Agent OrchestrationLLM agents and tool use → Multimodal and embodied agents +1
- CrunchLLM: Multitask LLMs for Structured Business Reasoning and Outcome PredictionLLM reasoning → Reasoning for agents, planning and code
- Privacy-Preserving Decentralized Federated Learning via Explainable Adaptive Differential PrivacyLLM safety and security → Federated unlearning and poisoning
- T2Bs: Text-to-Character Blendshapes via Video GenerationDiffusion models → 3D, point cloud and scene generation
- Test-Time Warmup for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- No Answer Needed: Predicting LLM Answer Accuracy from Question-Only Linear ProbesMechanistic interpretability → Probing deception, bias and beliefs
- Machine Unlearning for Responsible and Adaptive AI in EducationLLM safety and security → Machine unlearning
- DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RLLLM agents and tool use → Web, search, and research agents
- InfGen: A Resolution-Agnostic Paradigm for Scalable Image SynthesisDiffusion models → Diffusion foundations and sampling
- RefactorCoderQA: Benchmarking LLMs for Multi-Domain Coding Question Solutions in Cloud and Edge DeploymentMixture-of-experts → MoE large language models
- Mutual Information Tracks Policy Coherence in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Abduct, Act, Predict: Scaffolding Causal Inference for Automated Failure Attribution in Multi-Agent SystemsLLM agents and tool use → Software engineering coding agents
- RecoWorld: Building Simulated Environments for Agentic Recommender SystemsLLM agents and tool use → Agentic recommender systems
- Inpainting-Guided Policy Optimization for Diffusion Large Language ModelsDiffusion models → Discrete and text diffusion
- Flow Straight and Fast in Hilbert Space: Functional Rectified FlowDiffusion models → Flow matching, time series and science
- Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMsMixture-of-experts → MoE large language models
- MCBP: A Memory-Compute Efficient LLM Inference Accelerator Leveraging Bit-Slice-enabled Sparsity and RepetitivenessEfficient LLM inference and serving → Serving systems and request scheduling
- Efficient Learned Image Compression Through Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Towards Understanding Visual Grounding in Visual Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- GARD: Gamma-based Anatomical Restoration and Denoising for Retinal OCTDiffusion models → Medical imaging and segmentation
- Robot guide with multi-agent control and automatic scenario generation with LLMLLM agents and tool use → General LLM agent frameworks and benchmarks
- Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature CachingDiffusion models → Diffusion foundations and sampling
- Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random SolutionsOffline RL and imitation learning from data → Offline RL algorithms
- Detecting Text Manipulation in Images using Vision Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Prompt Injection Attacks on LLM Generated Reviews of Scientific PublicationsLLM safety and security → Prompt injection and agent security
- Compartmentalised Agentic Reasoning for Clinical NLILLM reasoning → Clinical and biomedical applications +1
- SI-FACT: Mitigating Knowledge Conflict via Self-Improving Faithfulness-Aware Contrastive TuningSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- On Syntactical Simplification of Temporal Operators in Negation-free MTLLLM reasoning → Knowledge- and tool-augmented reasoning
- Towards Reliable and Interpretable Document Question Answering via VLMsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Realism Control One-step Diffusion for Real-World Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- Scaling Arabic Medical Chatbots Using Synthetic Data: Enhancing Generative AI with Synthetic Patient RecordsSynthetic data and self-improvement for LLMs → Medical synthetic data and agents
- VARCO-VISION-2.0 Technical ReportMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- TwinTac: A Wide-Range, Highly Sensitive Tactile Sensor with Real-to-Sim Digital Twin Sensor ModelDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Multimodal Mathematical Reasoning Embedded in Aerial Vehicle Imagery: Benchmarking, Analysis, and ExplorationLLM reasoning → Spatial and embodied reasoning +1
- Color Me Correctly: Bridging Perceptual Color Spaces and Text Embeddings for Improved Diffusion GenerationDiffusion models → Image generation, text-to-image and editing
- Reinforcement learning for spin torque oscillator tasksDeep reinforcement learning methods → RL theory and sample complexity
- XAgents: A Unified Framework for Multi-Agent Cooperation via IF-THEN Rules and Multipolar Task Processing GraphLLM agents and tool use → General LLM agent frameworks and benchmarks
- LaV-CoT: Language-Aware Visual CoT with Multi-Aspect Reward Optimization for Real-World Multilingual VQALLM reasoning → Multimodal reasoning +1
- Exploring Expert Specialization through Unsupervised Training in Sparse Mixture of ExpertsMixture-of-experts → Vision mixture-of-experts
- GAMA: A General Anonymizing Multi-Agent System for Privacy Preservation Enhanced by Domain Rules and Disproof MechanismLLM agents and tool use → Agent threats, guardrails and governance
- Unsupervised Hallucination Detection by Inspecting Reasoning ProcessesLLM reasoning → Hallucination detection and mitigation
- Securing LLM-Generated Embedded Firmware through AI Agent-Driven Validation and PatchingLLM agents and tool use → Agent threats, guardrails and governance
- Adaptive Token Merging for Efficient Transformer Semantic Communication at the EdgeEfficient LLM inference and serving → Token pruning and merging for ViTs
- Chord: Chain of Rendering Decomposition for PBR Material Estimation from Generated Texture ImagesDiffusion models → 3D, point cloud and scene generation
- Towards Secure and Explainable Smart Contract Generation with Security-Aware Group Relative Policy OptimizationLLM reasoning → Reasoning for agents, planning and code
- SciML Agents: Write the Solver, Not the SolutionLLM agents and tool use → Web, search, and research agents
- Acoustic Scene Classification Using CNN-GRU Model Without Knowledge DistillationKnowledge distillation → Speech and audio distillation
- The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous ScienceLLM agents and tool use → Web, search, and research agents
- When Your Reviewer is an LLM: Biases, Divergence, and Prompt Injection Risks in Peer ReviewLLM safety and security → Prompt injection and agent security
- DOCUEVAL: An LLM-based AI Engineering Tool for Building Customisable Document Evaluation Workflows
- LLM Bazaar: A Service Design for Supporting Collaborative Learning with an LLM-Powered Multi-Party Collaboration Infrastructure
- Magnitude Matters: a Superior Class of Similarity Metrics for Holistic Semantic Understanding
- Readme_AI: Dynamic Context Construction for Large Language Models
- Randomness and signal propagation in physics-informed neural networks (PINNs): A neural PDE perspective
- Research on Metro Transportation Flow Prediction Based on the STL-GRU Combined Model
- Predicting First Year Dropout from Pre Enrolment Motivation Statements Using Text Mining
- Persuasive or Neutral? A Field Experiment on Generative AI in Online Travel Planning
- JU-NLP at Touch'e: Covert Advertisement in Conversational AI-Generation and Detection Strategies
- Benchmarking Dimensionality Reduction Techniques for Spatial Transcriptomics
- Real World Robotic Exploration using Deep Neural Networks Trained in Photorealistic Reconstructed Environments
- Explainable Fraud Detection with GNNExplainer and Shapley Values
- Quantum-Inspired Stacked Integrated Concept Graph Model (QISICGM) for Diabetes Risk Prediction
- EfficientNet-Based Multi-Class Detection of Real, Deepfake, and Plastic Surgery Faces
- Representation Learning on Large Non-Bipartite Transaction Networks using GraphSAGE
- DISPLIB: a library of train dispatching problems
- Physics-Informed Neural Networks vs. Physics Models for Non-Invasive Glucose Monitoring: A Comparative Study Under Noise-Stressed Synthetic Conditions
- Why and How Auxiliary Tasks Improve JEPA Representations
- Quantum parameter estimation with uncertainty quantification from continuous measurement data using neural network ensembles
- SCOPE: Speech-guided COllaborative PErception Framework for Surgical Scene Segmentation
- RECAP: Transparent Inference-Time Emotion Alignment for Medical Dialogue Systems
- Matched-Pair Experimental Design with Active Learning
- How are Scientific Concepts Birthed? Typing Rules of Concept Formation in Theoretical Physics Reasoning
- PolyTruth: Multilingual Disinformation Detection using Transformer-Based Language Models
- Using LLMs for Late Multimodal Sensor Fusion for Activity Recognition
- MinatoLoader: Accelerating Machine Learning Training Through Efficient Data Preprocessing
- SegSLR: Promptable Video Segmentation for Isolated Sign Language Recognition
- SearchInstruct: Enhancing Domain Adaptation via Retrieval-Based Instruction Dataset Creation
- Understanding AI Evaluation Patterns: How Different GPT Models Assess Vision-Language Descriptions
- DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators
- A Survey on Retrieval And Structuring Augmented Generation with Large Language Models
- Struct-Bench: A Benchmark for Differentially Private Structured Text Generation
- Kalman Bayesian Transformer
- Verifying Computational Graphs in Production-Grade Distributed Machine Learning Frameworks
- Learning Concave Bid Shading Strategies in Online Auctions via Measure-valued Proximal Optimization
- Least-Ambiguous Multi-Label Classifier
All 250
- Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generation
- Pluralistic Alignment for Healthcare: A Role-Driven Framework
- A Comparison and Evaluation of Fine-tuned Convolutional Neural Networks to Large Language Models for Image Classification and Segmentation of Brain Tumors on MRI
- LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems
- Context Copying Modulation: The Role of Entropy Neurons in Managing Parametric and Contextual Knowledge Conflicts
- ZapGPT: Free-form Language Prompting for Simulated Cellular Control
- M4GN: Mesh-based Multi-segment Hierarchical Graph Network for Dynamic Simulations
- Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
- SCOR: A Framework for Responsible AI Innovation in Digital Ecosystems
- Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaboration
- USCTNet: A deep unfolding nuclear-norm optimization solver for physically consistent HSI reconstruction
- On a Geometry of Interbrain Networks
- Interdisciplinary Research in Conversation: A Case Study in Computational Morphology for Language Documentation
- Accurate and Private Diagnosis of Rare Genetic Syndromes from Facial Images with Federated Deep Learning
- Interpretable neural network system identification method for two families of second-order systems based on characteristic curves
- Optimal Multimarginal Schr"odinger Bridge: Minimum Spanning Tree over Measure-valued Vertices
- Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses
- pySigLib -- Fast Signature-Based Computations on CPU and GPU
- Racing to the Starting Line: Measuring Opportunity and Improvement in Cross Country
- GenAI Voice Mode in Programming Education
- SME-TEAM: Leveraging Trust and Ethics for Secure and Responsible Use of AI and LLMs in SMEs
- Automated Cervical Os Segmentation for Camera-Guided, Speculum-Free Screening
- Assisting the Grading of a Handwritten General Chemistry Exam with Artificial Intelligence
- Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media
- GC-VLN: Instruction as Graph Constraints for Training-free Vision-and-Language Navigation
- SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets
- WhisTLE: Deeply Supervised, Text-Only Domain Adaptation for Small Pretrained Speech Recognition Transformers
- Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration
- Standards in the Preparation of Biomedical Research Metadata: A Bridge2AI Perspective
- Run-Time Monitoring of ERTMS/ETCS Control Flow by Process Mining
- Long Context Automated Essay Scoring with Language Models
- Is In-Context Learning Learning?
- Multimodal SAM-adapter for Semantic Segmentation
- Compressed Video Quality Enhancement: Classifying and Benchmarking over Standards
- Multipole Semantic Attention: A Fast Approximation of Softmax Attention for Pretraining
- A Computable Measure of Suboptimality for Entropy-Regularised Variational Objectives
- Diversified recommendations of cultural activities with personalized determinantal point processes
- Improving Audio Event Recognition with Consistency Regularization
- Vendi Information Gain for Active Learning and its Application to Ecology
- VT-Intrinsic: Physics-Based Decomposition of Reflectance and Shading using a Single Visible-Thermal Image Pair
- Differentially Private Decentralized Dataset Synthesis Through Randomized Mixing with Correlated Noise
- Matrix-free Neural Preconditioner for the Dirac Operator in Lattice Gauge Theory
- Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective
- Data distribution impacts the performance and generalisability of contrastive learning-based foundation models of electrocardiograms
- A Discrepancy-Based Perspective on Dataset Condensation
- Physics-informed sensor coverage through structure preserving machine learning
- Immunizing Images from Text to Image Editing via Adversarial Cross-Attention
- Multi-pathology Chest X-ray Classification with Rejection Mechanisms
- GLAM: Geometry-Guided Local Alignment for Multi-View VLP in Mammography
- Exact Generalisation Error Exposes Benchmarks Skew Graph Neural Networks Success (or Failure)
- I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation
- State Algebra for Propositional Logic
- ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting
- A Stochastic Birth-and-Death Approach for Street Furniture Geolocation in Urban Environments
- GraphCSVAE: Graph Categorical Structured Variational Autoencoder for Spatiotemporal Auditing of Physical Vulnerability Towards Sustainable Post-Disaster Risk Reduction
- Adversarial robustness through Lipschitz-Guided Stochastic Depth in Neural Networks
- The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosis
- Proof of AutoML: SDN based Secure Energy Trading with Blockchain in Disaster Case
- We Need a New Ethics for a World of AI Agents
- MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection
- Targeted Test Selection Approach in Continuous Integration
- A neural recommender system leveraging transfer learning for property prediction of ionic liquids
- SignMouth: Leveraging Mouthing Cues for Sign Language Translation by Multimodal Contrastive Fusion
- MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation
- Mask Consistency Regularization in Object Removal
- Robustness and Diagnostic Performance of Super-Resolution Fetal Brain MRI
- GAMMA: Generalizable Alignment via Multi-task and Manipulation-Augmented Training for AI-Generated Image Detection
- Investigating Language Model Capabilities to Represent and Process Formal Knowledge: A Preliminary Study to Assist Ontology Engineering
- DiffAero: A GPU-Accelerated Differentiable Simulation Framework for Efficient Quadrotor Policy Learning
- Model-agnostic post-hoc explainability for recommender systems
- On the Geometric Accuracy of Implicit and Primitive-based Representations Derived from View Rendering Constraints
- A Certifiable Machine Learning-Based Pipeline to Predict Fatigue Life of Aircraft Structures
- Openness in AI and downstream governance: A global value chain approach
- RFSeek and Ye Shall Find
- Towards Fully Automated Molecular Simulations: Multi-Agent Framework for Simulation Setup and Force Field Extraction
- Feature Attribution in 5G Intrusion Detection: A Statistical vs. Logic-Based Comparison
- Beyond Token Limits: Assessing Language Model Performance on Long Text Classification
- Hadamard-Riemannian Optimization for Margin-Variance Ensemble
- P3D: Scalable Neural Surrogates for High-Resolution 3D Physics Simulations with Global Context
- Incongruent Positivity: When Miscalibrated Positivity Undermines Online Supportive Conversations
- Benchmark of stylistic variation in LLM-generated texts
- The Hidden Width of Deep ResNets: Tight Error Bounds and Phase Diagram
- Repulsive Monte Carlo on the sphere for the sliced Wasserstein distance
- A Symmetry-Integrated Approach to Surface Code Decoding
- Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks
- Online Robust Planning under Model Uncertainty: A Sample-Based Approach
- FedBiF: Communication-Efficient Federated Learning via Bits Freezing
- LayerLock: Non-collapsing Representation Learning with Progressive Freezing
- BenchECG and xECG: a benchmark and baseline for ECG foundation models
- Virtual Agent Economies
- Error Analysis in a Modular Meeting Transcription System
- Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization
- Grad-CL: Source Free Domain Adaptation with Gradient Guided Feature Disalignment
- Cost-Free Personalization via Information-Geometric Projection in Bayesian Federated Learning
- Efficient Learning-Based Control of a Legged Robot in Lunar Gravity
- Population-Aligned Persona Generation for LLM-based Social Simulation
- Prominence-aware automatic speech recognition for conversational speech
- A Lightweight Ensemble-Based Face Image Quality Assessment Method with Correlation-Aware Loss
- AI Harmonics: a human-centric and harms severity-adaptive AI risk assessment framework
- Generating Energy-Efficient Code via Large-Language Models -- Where are we now?
- Polarization Denoising and Demosaicking: Dataset and Baseline Method
- HHI-Assist: A Dataset and Benchmark of Human-Human Interaction in Physical Assistance Scenario
- Arabic Large Language Models for Medical Text Generation
- Leveraging Multi-View Weak Supervision for Occlusion-Aware Multi-Human Parsing
- KAN-SR: A Kolmogorov-Arnold Network Guided Symbolic Regression Framework
- Querying Climate Knowledge: Semantic Retrieval for Scientific Discovery
- FetalSleepNet: A Transfer Learning Framework with Spectral Equalisation Domain Adaptation for Fetal Sleep Stage Classification
- BEVTraj: Map-Free End-to-End Trajectory Prediction in Bird's-Eye View with Deformable Attention and Sparse Goal Proposals
- Human Psychometric Questionnaires Mischaracterize LLM Behavior
- Predictive Spike Timing Enables Distributed Shortest Path Computation in Spiking Neural Networks
- Prototypical Contrastive Learning For Improved Few-Shot Audio Classification
- Uncertainty-Aware Tabular Prediction: Evaluating VBLL-Enhanced TabPFN in Safety-Critical Medical Data
- FedRP: A Communication-Efficient Approach for Differentially Private Federated Learning Using Random Projection
- !MSA at BAREC Shared Task 2025: Ensembling Arabic Transformers for Readability Assessment
- Linguistic trajectories of bipolar disorder on social media
- Symbolic Feedforward Networks for Probabilistic Finite Automata: Exact Simulation and Learnability
- Multi-Dictionary Learning for Low Rank Sparse Coding
- Unified Learnable 2D Convolutional Feature Extraction for ASR
- Hierarchical MLANet: Multi-level Attention for 3D Face Reconstruction From Single Images
- Efficient and Accurate Downfacing Visual Inertial Odometry
- Intrinsic Dimension Estimating Autoencoder (IDEA) Using CancelOut Layer and a Projected Loss
- Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs
- Few-Part-Shot Font Generation
- TUNI: Unifying Pre-training and Fine-tuning with Modality-Aware Mutual Learning and Rectification for RGB-T Semantic Segmentation
- Neural Scaling Laws for Deep Regression
- Data-Driven Energy Estimation for Virtual Servers Using Combined System Metrics and Machine Learning
- CMHG: A Dataset and Benchmark for Headline Generation of Minority Languages in China
- FLARE-SSM: Deep State Space Models with Influence-Balanced Loss for 72-Hour Solar Flare Prediction
- Whisper Has an Internal Word Aligner
- Evaluation of Black-Box XAI Approaches for Predictors of Values of Boolean Formulae
- ISTASTrack: Bridging ANN and SNN via ISTA Adapter for RGB-Event Tracking
- Drone-Based Multispectral Imaging and Deep Learning for Timely Detection of Branched Broomrape in Tomato Farms
- Event Camera Guided Visual Media Restoration & 3D Reconstruction: A Survey
- Large Language Models Meet Legal Artificial Intelligence: A Survey
- An HMM-based framework for identity-aware long-term multi-object tracking from sparse and uncertain identification: use case on long-term tracking in livestock
- Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation
- Limited Reference, Reliable Generation: A Two-Component Framework for Tabular Data Generation in Low-Data Regimes
- Zero-Shot Referring Expression Comprehension via Vison-Language True/False Verification
- Online 3D Multi-Camera Perception through Robust 2D Tracking and Depth-based Late Aggregation
- Segment Anything for Cell Tracking
- DyKen-Hyena: Dynamic Kernel Generation via Cross-Modal Attention for Multimodal Intent Recognition
- SCoDA: Self-supervised Continual Domain Adaptation
- Multi-Play Combinatorial Semi-Bandit Problem
- LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios
- Engineering Spatial and Molecular Features from Cellular Niches to Inform Predictions of Inflammatory Bowel Disease
- A Markovian Framing of WaveFunctionCollapse for Procedurally Generating Aesthetically Complex Environments
- WALL: A Web Application for Automated Quality Assurance using Large Language Models
- An Autoencoder and Vision Transformer-based Interpretability Analysis of the Differences in Automated Staging of Second and Third Molars
- Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building
- A Smooth Computational Transition in Tensor PCA