Papers
Sun 9 Feb 2025
169 papers
- MoEMba: A Mamba-based Mixture of Experts for High-Density EMG-based Hand Gesture RecognitionState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Injecting Universal Jailbreak Backdoors into LLMs in MinutesLLM safety and security → Jailbreaking
- Jailbreaking to JailbreakLLM safety and security → Jailbreaking
- Few-shot LLM Synthetic Data with Distribution MatchingSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary ResolutionDiffusion models → Flow matching, time series and science
- PyPotteryInk: One-Step Diffusion Model for Sketch to Publication-ready Archaeological DrawingsDiffusion models → Image generation, text-to-image and editing
- Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor AttacksLLM safety and security → Backdoor and data poisoning attacks
- Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch PipelineMixture-of-experts → Efficient MoE training and inference systems
- Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein RegularizationDiffusion models → Diffusion and flow policies for robotics +1
- Training Language Models for Social Deduction with Multi-Agent Reinforcement LearningLLM agents and tool use → General LLM agent frameworks and benchmarks
- Towards a Sharp Analysis of Offline Policy Learning for f-Divergence-Regularized Contextual BanditsOffline RL and imitation learning from data → Offline RL algorithms +1
- Benchmarking Prompt Engineering Techniques for Secure Code Generation with GPT ModelsLLM reasoning → Reasoning for agents, planning and code
- Investigating Compositional Reasoning in Time Series Foundation ModelsLLM reasoning → Time series reasoning
- Generating 3D Binding Molecules Using Shape-Conditioned Diffusion Models with GuidanceDiffusion models → Flow matching, time series and science
- Dual Caption Preference Optimization for Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
- Noise is an Efficient Learner for Zero-Shot Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Motion Control in Multi-Rotor Aerial Robots Using Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Diffusion Models for Inverse Problems in the Exponential FamilyDiffusion models → Inverse problems and image restoration
- HamRaz: A Culture-Based Persian Conversation Dataset for Person-Centered Therapy Using LLM AgentsLLM agents and tool use → Medical and scientific domain agents
- VFX Creator: Animated Visual Effect Generation with Controllable Diffusion TransformerDiffusion models → Video generation
- AutoAgent: A Fully-Automated and Zero-Code Framework for LLM AgentsLLM agents and tool use → Software engineering coding agents
- Head-Specific Intervention Can Induce Misaligned AI Coordination in Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- Multi-granular Training Strategies for Robust Multi-hop Reasoning Over Noisy and Heterogeneous Knowledge SourcesLLM reasoning → Knowledge- and tool-augmented reasoning
- Continual Adaptation for Autonomous Driving with the Mixture of Progressive Experts NetworkEnd-to-end autonomous driving → Reinforcement learning for driving
- Intrinsic Barriers and Practical Pathways for Human-AI Alignment: An Agreement-Based Complexity AnalysisLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination MitigationLLM safety and security → Safety alignment, refusal and guardrails
- Inverse Problem Sampling in Latent Space Using Sequential Monte CarloDiffusion models → Inverse problems and image restoration
- EvolvingAgent: Curriculum Self-evolving Agent with Continual World Model for Long-Horizon TasksWorld models → World models for language agents +1
- Enhancing Depression Detection with Chain-of-Thought Prompting: From Emotion to Reasoning Using Large Language ModelsLLM reasoning → Clinical and biomedical applications
- Retrieval-augmented Large Language Models for Financial Time Series ForecastingRetrieval-augmented generation → Legal and financial RAG
- Self-Training Large Language Models for Tool-Use Without DemonstrationsLLM reasoning → Reasoning benchmarks and evaluation +2
- Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-wise Multi-View Ensemble DistillationKnowledge distillation → Graph neural network distillation
- EgoAgent: A Joint Predictive Agent Model in Egocentric WorldsWorld models → Embodied and robot world models
- DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot ControlMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic ReasoningLLM reasoning → Multimodal reasoning
- Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech ModelsKnowledge distillation → Speech and audio distillation
- Contrastive Representation Distillation via Multi-Scale Feature DecouplingKnowledge distillation → General knowledge distillation methods
- Aerial Reliable Collaborative Communications for Terrestrial Mobile Users via Evolutionary Multi-Objective Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow ModelsDiffusion models → Diffusion foundations and sampling
- Quality Assurance for LLM-RAG Systems: Empirical Insights from Tourism Application TestingRetrieval-augmented generation → RAG pipeline design and evaluation
- PIPA: Preference Alignment as Prior-Informed Statistical EstimationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Effective Black-Box Multi-Faceted Attacks Breach Vision Large Language Model GuardrailsLLM safety and security → Vision-language and text-to-image safety
- Audio-Visual Representation Learning via Knowledge Distillation from Speech Foundation ModelsKnowledge distillation → Speech and audio distillation
- Target Speaker Lipreading by Audio-Visual Self-Distillation Pretraining and Speaker AdaptationKnowledge distillation → Speech and audio distillation
- Understanding Representation Dynamics of Diffusion Models via Low-Dimensional ModelingDiffusion models → Diffusion foundations and sampling
- Mitigating Sensitive Information Leakage in LLMs4Code through Machine UnlearningLLM safety and security → Machine unlearning
- Impact of Data Poisoning Attacks on Feasibility and Optimality of Neural Power System OptimizersLLM safety and security → Backdoor and data poisoning attacks
- The Application of MATEC (Multi-AI Agent Team Care) Framework in Sepsis Care
- Peeking Behind Closed Doors: Risks of LLM Evaluation by Private Data Curators
- NutriTransform: Estimating Nutritional Information From Online Food Posts
- Modeling Churn in Recommender Systems with Aggregated Preferences
- MixLLM: Dynamic Routing in Mixed Large Language Models
- Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities
- CacheMamba: Popularity Prediction for Mobile Edge Caching Networks via Selective State Spaces
- Crypto Miner Attack: GPU Remote Code Execution Attacks
- MERGE3: Efficient Evolutionary Merging on Consumer-grade GPUs
- RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition
- Agency in Artificial Intelligence Systems
- Neural Genetic Search in Discrete Spaces
- Meta-Cultural Competence: Climbing the Right Hill of Cultural Awareness
- Reading between the Lines: Can LLMs Identify Cross-Cultural Communication Gaps?
- CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
- A Systematic Survey of Semantic Role Labeling in the Era of Pretrained Language Models
- Knowledge-data fusion dominated vehicle platoon dynamics modeling and analysis: A physics-encoded deep learning approach
- Temporal Model On Quantum Logic
- Decoding Complexity: Intelligent Pattern Exploration with CHPDA (Context Aware Hybrid Pattern Detection Algorithm)
- Emergence of Episodic Memory in Transformers: Characterizing Changes in Temporal Structure of Attention Scores During Training
- Enabling Autoregressive Models to Fill In Masked Tokens
- Polynomial Regret Concentration of UCB for Non-Deterministic State Transitions
- A Sociotechnical Approach for Knowledge Management (KM)
- Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End"
- A Comprehensive Review of U-Net and Its Variants: Advances and Applications in Medical Image Segmentation
- AI-Driven HSI: Multimodality, Fusion, Challenges, and the Deep Learning Revolution
- A New Hybrid Intelligent Approach for Multimodal Detection of Suspected Disinformation on TikTok
- ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization
- LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
- Secure Visual Data Processing via Federated Learning
- Gradient Based Method for the Fusion of Lattice Quantizers
- Deconstructing Depression Stigma: Integrating AI-driven Data Collection and Analysis with Causal Knowledge Graphs
- Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs
- Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Association
- Benchmarking Prompt Sensitivity in Large Language Models
- Multi-modal Data Fusion and Deep Ensemble Learning for Accurate Crop Yield Prediction
- LM2: Large Memory Models
- Neural Shortest Path for Surface Reconstruction from Point Clouds
- Differentially Private Hyperparameter Tuning using Local Bayesian Optimization
- Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection
- Provably Overwhelming Transformer Models with Designed Inputs
- Traveling Waves Integrate Spatial Information Through Time
- A Conditional Tabular GAN-Enhanced Intrusion Detection System for Rare Attacks in IoT Networks
- DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
- A Multimodal PDE Foundation Model for Prediction and Scientific Text Descriptions
- Nested subspace learning with flags
- Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal Understanding
- Kolmogorov-Arnold Fourier Networks
- Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making
- Transformers versus the EM Algorithm in Multi-class Clustering
- Analysis of LLM as a grammatical feature tagger for African American English
- Pencils to Pixels: A Systematic Study of Creative Drawings across Children, Adults and AI
- A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement
All 169
- SNAT-YOLO: Efficient Cross-Layer Aggregation Network for Edge-Oriented Gangue Detection
- Preventing Rogue Agents Improves Multi-Agent Collaboration
- Speech to Speech Translation with Translatotron: A State of the Art Review
- Decision Making in Hybrid Environments: A Model Aggregation Approach
- Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules
- Asymptotic FDR Control with Model-X Knockoffs: Is Moments Matching Sufficient?
- μnit Scaling: Simple and Scalable FP8 LLM Training
- Detection of Physiological Data Tampering Attacks with Quantum Machine Learning
- Revisiting Gradient-based Uncertainty for Monocular Depth Estimation
- Redefining Robot Generalization Through Interactive Intelligence
- Cyri: A Conversational AI-based Assistant for Supporting the Human User in Detecting and Responding to Phishing Attacks
- Survival Concept-Based Learning Models
- Verifying Proportionality in Temporal Voting
- Acceleration Multiple Heads Decoding for LLM via Dynamic Tree Attention
- A Semi-Supervised Text Generation Framework Combining a Deep Transformer and a GAN
- Learning to Substitute Words with Model-based Score Ranking
- Skill Expansion and Composition in Parameter Space
- Protecting Intellectual Property of EEG-based Neural Networks with Watermarking
- ClinKD: Cross-Modal Clinical Knowledge Distiller For Multi-Task Medical Images
- A Generative Framework for Bidirectional Image-Report Understanding in Chest Radiography
- Sign-Symmetry Learning Rules are Robust Fine-Tuners
- Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search
- ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification
- QP-SNN: Quantized and Pruned Spiking Neural Networks
- Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric Priors
- Beyond Fine-Tuning: A Systematic Study of Sampling Techniques in Personalized Image Generation
- A Distributional Perspective on Word Learning in Neural Language Models
- MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents
- NeuralPrefix: A Zero-shot Sensory Data Imputation Plugin
- MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation
- HyLiFormer: Hyperbolic Linear Attention for Skeleton-based Human Action Recognition
- Norm Augmented Graph AutoEncoders for Link Prediction
- Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education
- SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion
- MetaML-Pro: Cross-Stage Design Flow Automation for Efficient Deep Learning Acceleration
- Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases
- LegalSeg: Unlocking the Structure of Indian Legal Judgments Through Rhetorical Role Classification
- Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition
- HyGEN: Regularizing Negative Hyperedge Generation for Accurate Hyperedge Prediction
- MindCraft: Revolutionizing Education through AI-Powered Personalized Learning and Mentorship for Rural India
- Delta -- Contrastive Decoding Mitigates Text Hallucinations in Large Language Models
- Image-Based Alzheimer's Disease Detection Using Pretrained Convolutional Neural Network Models
- Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue
- MicroViT: A Vision Transformer with Low Complexity Self Attention for Edge Device
- The Curse of Depth in Large Language Models
- Structural Perturbation in Large Language Model Representations through Recursive Symbolic Regeneration
- On Reference (In-)Determinacy in Natural Language Inference
- Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining
- EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism
- Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble
- WatchGuardian: Enabling User-Defined Personalized Just-in-Time Intervention on Smartwatch
- GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
- A 3D Multimodal Feature for Infrastructure Anomaly Detection
- Predictive Crash Analytics for Traffic Safety using Deep Learning
- Dynamic Pricing in the Linear Valuation Model using Shape Constraints
- Digital Twin Buildings: 3D Modeling, GIS Integration, and Visual Descriptions Using Gaussian Splatting, ChatGPT/Deepseek, and Google Maps Platform
- Privacy-Preserving Dataset Combination
- 3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly
- Reinforced Lifelong Editing for Language Models
- Exploring Visual Embedding Spaces Induced by Vision Transformers for Online Auto Parts Marketplaces
- Filter, Obstruct and Dilute: Defending Against Backdoor Attacks on Semi-Supervised Learning
- PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map
- UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control
- Linear Attention Modeling for Learned Image Compression
- RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative Gastrointestinal Cancer Care
- Performance Analysis of Traditional VQA Models Under Limited Computational Resources
- Towards Autonomous Experimentation: Bayesian Optimization over Problem Formulation Space for Accelerated Alloy Development
- Attainability of Two-Point Testing Rates for Finite-Sample Location Estimation
- BnTTS: Few-Shot Speaker Adaptation in Low-Resource Setting