Papers
Sat 4 Jan 2025
95 papers
- Benchmarking Large and Small MLLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- LLM Content Moderation and User Satisfaction: Evidence from Response Refusals in Chatbot ArenaLLM safety and security → Safety alignment, refusal and guardrails
- Cognitive Edge Computing: A Comprehensive Survey on Optimizing Large Models and AI Agents for Pervasive DeploymentLLM reasoning → Reasoning for agents, planning and code +1
- REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage NormalizationLLM reasoning → Reinforcement learning for reasoning +1
- Guiding Medical Vision-Language Models with Explicit Visual Prompts: Framework Design and Comprehensive Exploration of Prompt VariationsMultimodal LLMs / vision-language models → Medical vision-language models
- Origin Identification for Text-Guided Image-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- BADTV: Unveiling Backdoor Threats in Third-Party Task VectorsLLM safety and security → Backdoor and data poisoning attacks
- CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Thinking with Many Minds: Using Large Language Models for Multi-Perspective Problem-SolvingLLM reasoning → Reasoning for agents, planning and code
- Optimizing Small Language Models for In-Vehicle Function-CallingLLM agents and tool use → Tool learning and function calling
- UAVs Meet LLMs: Overviews and Perspectives Toward Agentic Low-Altitude MobilityLLM agents and tool use → Multimodal and embodied agents
- SR-Reward: Taking The Path More TraveledOffline RL and imitation learning from data → Inverse reinforcement learning
- DiffGraph: Heterogeneous Graph Diffusion ModelDiffusion models → Flow matching, time series and science
- Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distanceDiffusion models → Diffusion foundations and sampling
- Explicit vs. Implicit: Investigating Social Bias in Large Language Models through Self-ReflectionLLM reasoning → Reasoning benchmarks and evaluation
- TDM: Temporally-Consistent Diffusion Model for All-in-One Real-World Video RestorationDiffusion models → Inverse problems and image restoration
- What Kind of Visual Tokens Do We Need? Training-free Visual Token Pruning for Multi-modal Large Language Models from the Perspective of GraphMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Unsupervised Class Generation to Expand Semantic Segmentation DatasetsDiffusion models → Medical imaging and segmentation
- MagicFace: High-Fidelity Facial Expression Editing with Action-Unit ControlDiffusion models → Image generation, text-to-image and editing
- Distillation-Enhanced Physical Adversarial AttacksKnowledge distillation → Federated, robust and private distillation
- Knowledge Graph Retrieval-Augmented Generation for LLM-based RecommendationRetrieval-augmented generation → RAG for recommendation
- CORD: Generalizable Cooperation via Role DiversityDeep reinforcement learning methods → Multi-agent reinforcement learning
- Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised LearningDiffusion models → Robustness, privacy and adversarial aspects
- Digital Twin Calibration with Model-Based Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual LearningMixture-of-experts → Mixture of LoRA experts
- A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and ChallengesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +2
- AdaMixup: A Dynamic Defense Framework for Membership Inference Attack MitigationLLM safety and security → Membership inference attacks
- The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early ExitEfficient LLM inference and serving → Prompt and context compression
- Table as Thought: Exploring Structured Thoughts in LLM ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- Robust Uplift Modeling with Large-Scale Contexts for Real-time Marketing
- ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification
- DeServe: Towards Affordable Offline LLM Inference via Decentralization
- Path Space Partitioning and Guided Image Sampling for MCMC
- Guiding Treatment Strategies: The Role of Adjuvant Anti-Her2 Neu Therapy and Skin/Nipple Involvement in Local Recurrence-Free Survival in Breast Cancer Patients
- Heterogeneous Graph Pre-training Based Model for Secure and Efficient Prediction of Default Risk Propagation among Bond Issuers
- Bridge the Inference Gaps of Neural Processes via Expectation Maximization
- A Training-free Method for LLM Text Attribution
- iTARGET: Interpretable Tailored Age Regression for Grouped Epigenetic Traits
- Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers
- Syntactic Evolution in Language Usage
- TensorGRaD: Tensor Gradient Robust Decomposition for Memory-Efficient Neural Operator Training
- A ghost mechanism: An analytical model of abrupt learning in recurrent networks
- Prepending or Cross-Attention for Speech-to-Text? An Empirical Comparison
- Predicting two-dimensional spatiotemporal chaotic patterns with optimized high-dimensional hybrid reservoir computing
- Enhancing Workplace Productivity and Well-being Using AI Agent
- Linearly Separable Features in Shallow Nonlinear Networks: Width Scales Polynomially with Intrinsic Data Dimension
- V2X-DGPE: Addressing Domain Gaps and Pose Errors for Robust Collaborative 3D Object Detection
- Easing Optimization Paths: a Circuit Perspective
- Context Aware Lemmatization and Morphological Tagging Method in Turkish
- When is the Computation of a Feature Attribution Method Tractable?
- Reweighting Improves Conditional Risk Bounds
- GNSS/GPS Spoofing and Jamming Identification Using Machine Learning and Deep Learning
- Revelio: A Real-World Screen-Camera Communication System with Visually Imperceptible Data Embedding
- Exploring the Capabilities and Limitations of Large Language Models for Radiation Oncology Decision Support
- Accurate Crop Yield Estimation of Blueberries using Deep Learning and Smart Drones
- Evaluation of the Code Generation Capabilities of ChatGPT 4: A Comparative Analysis in 19 Programming Languages
- AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference
- Validity Arguments For Constructed Response Scoring Using Generative Artificial Intelligence Applications
- On The Causal Network Of Face-selective Regions In Human Brain During Movie Watching
- Revisiting Compactness for District Plans
- RadarNeXt: Real-Time and Reliable 3D Object Detector Based On 4D mmWave Imaging Radar
- Analysis of Fluorescence Telescope Data Using Machine Learning Methods
- Diabetic Retinopathy Detection Using CNN with Residual Block with DCGAN
- Deep Learning-Driven Segmentation of Ischemic Stroke Lesions Using Multi-Channel MRI
- Hyperbolic Contrastive Learning for Hierarchical 3D Point Cloud Embedding
- Efficient Video-Based ALPR System Using YOLO and Visual Rhythm
- Towards a constructive framework for control theory
- LLMzSzL: a comprehensive LLM benchmark for Polish
- Interpretable Load Forecasting via Representation Learning of Geo-distributed Meteorological Factors
- Financial Named Entity Recognition: How Far Can LLM Go?
- Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends
- tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation
- How Robust Is Homogeneity Bias in LLMs? Evidence Across Models, Decoding Settings, and Identity Signals
- Robust Multi-Dimensional Scaling via Accelerated Alternating Projections
- Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies
- Acknowledging Focus Ambiguity in Visual Questions
- Learning Evolution via Optimization Knowledge Adaptation
- Can ChatGPT implement finite element models for geotechnical engineering applications?
- Majorization-Minimization Dual Stagewise Algorithm for Generalized Lasso
- CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction
- On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing
- SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services
- Quaternionic Reweighted Amplitude Flow for Phase Retrieval in Image Reconstruction
- Molecule-dynamic-based Aging Clock and Aging Roadmap Forecast with Sundial
- The Integration of Blockchain and Artificial Intelligence for Secure Healthcare Systems
- Generating Multimodal Images with GAN: Integrating Text, Image, and Style
- ROLO-SLAM: Rotation-Optimized LiDAR-Only SLAM in Uneven Terrain with Ground Vehicle
- Joint Optimization for 4D Human-Scene Reconstruction in the Wild
- Personalized Graph-Based Retrieval for Large Language Models
- The Race to Efficiency: A New Perspective on AI Scaling Laws
- From Images to Detection: Machine Learning for Blood Pattern Classification
- Attribute-Based Robotic Grasping with Data-Efficient Adaptation
- Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50
- Plasma-CycleGAN: Plasma Biomarker-Guided MRI to PET Cross-modality Translation Using Conditional CycleGAN
- Establishing baselines for generative discovery of inorganic crystals