Papers
Sat 8 Mar 2025
193 papers
- Dynamic Evaluation Framework for Personalized and Trustworthy Agents: A Multi-Session Approach to Preference AdaptabilityLLM agents and tool use → Agentic recommender systems
- AI-Facilitated Episodic Future Thinking For Adults with ObesityLLM reasoning → Clinical and biomedical applications
- CeTAD: Towards Certified Toxicity-Aware Distance in Vision Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Text-to-3D Generation using Jensen-Shannon Score DistillationDiffusion models → 3D, point cloud and scene generation
- Exploiting Edited Large Language Models as General Scientific OptimizersLLM reasoning → Test-time compute and efficient thinking
- Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Research Superalignment Should Advance Now with Alternating Competence and Conformity OptimizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Deep Reinforcement Learning-Based Semi-Autonomous Control for Magnetic Micro-robot Navigation with Immersive ManipulationDeep reinforcement learning methods → RL for clinical treatment and surgery
- Language Model Personalization via Reward FactorizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Studying the Interplay Between the Actor and Critic Representations in Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Backdoor Attacks on Discrete Graph Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine UnlearningLLM safety and security → Machine unlearning
- Advancing Autonomous Vehicle Intelligence: Deep Learning and Multimodal LLM for Traffic Sign Recognition and Robust Lane DetectionEnd-to-end autonomous driving → VLMs for autonomous driving
- DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth ObservationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- On the Fly Adaptation of Behavior Tree-Based Policies through Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- ACAM-KD: Adaptive and Cooperative Attention Masking for Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- MoEMoE: Question Guided Dense and Scalable Sparse Mixture-of-Expert for Multi-source Multi-modal AnsweringMixture-of-experts → Multimodal MoE models
- Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual GroundingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language ModelsMechanistic interpretability → Steering and probing for LLM safety
- From Captions to Rewards (CAREVL): Leveraging Large Language Model Experts for Enhanced Reward Modeling in Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented GenerationLLM reasoning → Reasoning for agents, planning and code +2
- MAD-MAX: Modular And Diverse Malicious Attack MiXtures for Automated LLM Red TeamingLLM safety and security → Prompt injection and agent security
- Can Atomic Step Decomposition Enhance the Self-structured Reasoning of Multimodal Large Models?LLM reasoning → Multimodal reasoning +1
- Integrating Chain-of-Thought for Multimodal Alignment: A Study on 3D Vision-Language LearningLLM reasoning → Multimodal reasoning
- WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion ModelsDiffusion models → Flow matching, time series and science
- RedDiffuser: Auditing Multimodal Safety Failures in Vision-Language Models via Reinforced DiffusionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- SCoRE: Benchmarking Long-Chain Reasoning in Commonsense ScenariosLLM reasoning → Reasoning benchmarks and evaluation
- Explainable Synthetic Image Detection through Diffusion Timestep EnsemblingDiffusion models → Image generation, text-to-image and editing
- PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- ROCM: RLHF on consistency modelsDiffusion models → Diffusion and flow policies for robotics +1
- Object-Centric World Model for Language-Guided ManipulationWorld models → Embodied and robot world models +1
- Treble Counterfactual VLMs: A Causal Approach to HallucinationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban SpacesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Biomechanics-Guided Residual Approach to Generalizable Human Motion Generation and EstimationDiffusion models → Diffusion and flow policies for robotics
- VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language ModelMultimodal LLMs / vision-language models → Image editing and quality assessment
- GSV3D: Gaussian Splatting-based Geometric Distillation with Stable Video Diffusion for Single-Image 3D Object GenerationDiffusion models → 3D, point cloud and scene generation
- FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow MatchingDiffusion models → Diffusion and flow policies for robotics
- X2I: Seamless Integration of Multimodal Understanding into Diffusion Transformer via Attention DistillationMultimodal LLMs / vision-language models → Image editing and quality assessment +1
- USP: Unified Self-Supervised Pretraining for Image Generation and UnderstandingDiffusion models → Diffusion foundations and sampling
- ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- PointDiffuse: A Dual-Conditional Diffusion Model for Enhanced Point Cloud Semantic SegmentationDiffusion models → 3D, point cloud and scene generation
- A Survey on Post-training of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- A Novel Trustworthy Video Summarization Algorithm Through a Mixture of LoRA ExpertsMixture-of-experts → Vision mixture-of-experts
- Multi-Layer Visual Feature Fusion in Multimodal LLMs: Methods, Analysis, and Best PracticesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- MANDARIN: Mixture-of-Experts Framework for Dynamic Delirium and Coma Prediction in ICU Patients: Development and Validation of an Acute Brain Dysfunction Prediction ModelMixture-of-experts → Medical and biomedical MoE
- DSGBench: A Diverse Strategic Game Benchmark for Evaluating LLM-based Agents in Complex Decision-Making EnvironmentsLLM agents and tool use → Reinforcement learning for LLM agents
- Mitigating Memorization in LLMs using Activation SteeringMechanistic interpretability → Activation steering methods
- Vairiational Stochastic GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
- Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement LearningLLM reasoning → Knowledge- and tool-augmented reasoning
- Zero-Shot Peg Insertion: Identifying Mating Holes and Estimating SE(2) Poses with Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- GenieBlue: Integrating both Linguistic and Multimodal Capabilities for Large Language Models on Mobile DevicesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Integrating Frequency-Domain Representations with Low-Rank Adaptation in Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Learning to Drive by Imitating Surrounding VehiclesOffline RL and imitation learning from data → Imitation and offline RL for driving
- Semantic Communication-Enabled Cloud-Edge-End-collaborative Metaverse Services Architecure
- From Interaction to Collaboration: How Hybrid Intelligence Enhances Chatbot Feedback
- Optimizing Generative AI's Accuracy and Transparency in Inductive Thematic Analysis: A Human-AI Comparison
- FloPE: Flower Pose Estimation for Precision Pollination
- Evaluation of the Automated Labeling Method for Taxonomic Nomenclature Through Prompt-Optimized Large Language Model
- MARRO: Multi-headed Attention for Rhetorical Role Labeling in Legal Documents
- LimTopic: LLM-based Topic Modeling and Text Summarization for Analyzing Scientific Articles limitations
- RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs
- The Computational Complexity of Positive Non-Clashing Teaching in Graphs
- Antibiotic Resistance Microbiology Dataset (ARMD): A Resource for Antimicrobial Resistance from EHRs
- Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy
- Adversarial Robustness of Discriminative Self-Supervised Learning in Vision
- The AI Pentad, the CHARME2D Model, and an Assessment of Current-State AI Regulation
- GIN-Graph: A Generative Interpretation Network for Model-Level Explanation of Graph Neural Networks
- AI-Driven Optimization of Hardware Overlay Configurations
- Curriculum Learning-Driven PIELMs for Fluid Flow Simulations
- Exploring the Performance Improvement of Tensor Processing Engines through Transformation in the Bit-weight Dimension of MACs
- Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
- Phraselette: A Poet's Procedural Palette
- A quantum annealing approach to graph node embedding
- States of LLM-generated Texts and Phase Transitions between them
- Understanding the role of autoencoders for stiff dynamical systems using information theory
- Higher-Order Belief in Incomplete Information MAIDs
- Enhanced Pediatric Dental Segmentation Using a Custom SegUNet with VGG19 Backbone on Panoramic Radiographs
- Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble
- Accurate and Efficient Two-Stage Gun Detection in Video
- End-to-End Action Segmentation Transformer
- Scene-Action Prompt Fusion for Coherent Text-to-Video Storytelling
- Synergizing AI and Digital Twins for Next-Generation Network Optimization, Forecasting, and Security
- IteRABRe: Iterative Recovery-Aided Block Reduction
- Single Domain Generalization with Adversarial Memory
- From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning
- Applied Machine Learning Methods with Long-Short Term Memory Based Recurrent Neural Networks for Multivariate Temperature Prediction
- STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
- Exploring Adversarial Transferability between Kolmogorov-arnold Networks
- Zero-AVSR: Zero-Shot Audio-Visual Speech Recognition with LLMs by Learning Language-Agnostic Speech Representations
- SplatTalk: 3D VQA with Gaussian Splatting
- Get In Video: Add Anything You Want to the Video
- Critical Foreign Policy Decisions (CFPD)-Benchmark: Measuring Diplomatic Preferences in Large Language Models
- Segment Anything, Even Occluded
- Infant Cry Detection Using Causal Temporal Representation
- LapSum -- One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection
- A Noise-Robust Turn-Taking System for Real-World Dialogue Robots: A Field Experiment
- Token-Efficient Item Representation via Images for LLM Recommender Systems
- Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detection
- Dynamically evolving segment anything model with continuous learning for medical image segmentation
All 193
- StreamGS: Online Generalizable Gaussian Splatting Reconstruction for Unposed Image Streams
- A Frank System for Co-Evolutionary Hybrid Decision-Making
- Optimal Output Feedback Learning Control for Discrete-Time Linear Quadratic Regulation
- Vision-based 3D Semantic Scene Completion via Capture Dynamic Representations
- StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue through Event-Gated Cognition
- VLScene: Vision-Language Guidance Distillation for Camera-Based 3D Semantic Scene Completion
- Lifelong Learning with Task-Specific Adaptation: Addressing the Stability-Plasticity Dilemma
- GraphGen+: Advancing Distributed Subgraph Generation and Graph Learning On Industrial Graphs
- LF2AR: Accounting for Layerwise Dynamics to Improve Multimodal Adaptation of Language Models
- Distributed Graph Neural Network Inference With Just-In-Time Compilation For Industry-Scale Graphs
- CUPCase: Clinically Uncommon Patient Cases and Diagnoses Dataset
- Generation of Optimized Solidity Code for Machine Learning Models using LLMs
- Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization
- Removing Multiple Hybrid Adverse Weather in Video via a Unified Model
- NeuroADDA: Active Discriminative Domain Adaptation in Connectomic
- Human-AI Experience in Integrated Development Environments: A Systematic Literature Review
- Attention on the Wires (AttWire): A Foundation Model for Detecting Devices and Catheters in X-ray Fluoroscopic Images
- Attackers Can Do Better: Over- and Understated Factors of Model Stealing Attacks
- MSConv: Multiplicative and Subtractive Convolution for Face Recognition
- Sample-aware Adaptive Structured Pruning for Large Language Models
- Lightweight Software Kernels and Hardware Extensions for Efficient Sparse Deep Neural Networks on Microcontrollers
- FORESCENE: FOREcasting human activity via latent SCENE graphs diffusion
- Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks
- ForestSplats: Deformable transient field for Gaussian Splatting in the Wild
- Minion Gated Recurrent Unit for Continual Learning
- Secure On-Device Video OOD Detection Without Backpropagation
- VACT: A Video Automatic Causal Testing System and a Benchmark
- Feature-EndoGaussian: Feature Distilled Gaussian Splatting in Surgical Deformable Scene Reconstruction
- Invariant Federated Learning for Edge Intelligence: Mitigating Heterogeneity and Asynchrony via Exit Strategy and Invariant Penalty
- Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
- SRM-Hair: Single Image Head Mesh Reconstruction via 3D Morphable Hair
- Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers
- OpenRSD: Towards Open-prompts for Object Detection in Remote Sensing Images
- Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT
- Exploring the usage of Probabilistic Neural Networks for Ionospheric electron density estimation
- Boosting the Local Invariance for Better Adversarial Transferability
- GRP: Goal-Reversed Prompting for Zero-Shot Evaluation with LLMs
- System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems
- Evaluating Discourse Cohesion in Pre-trained Language Models
- Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Flexible and Effective Paradigm
- RGB-Phase Speckle: Cross-Scene Stereo 3D Reconstruction via Wrapped Pre-Normalization
- BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling
- Unlocking Pretrained LLMs for Motion-Related Multimodal Generation: A Fine-Tuning Approach to Unify Diffusion and Next-Token Prediction
- SecureGS: Boosting the Security and Fidelity of 3D Gaussian Splatting Steganography
- NeuraLoc: Visual Localization in Neural Implicit Map with Dual Complementary Features
- On Statistical Estimation of Edge-Reinforced Random Walks
- Pathology-Guided AI System for Accurate Segmentation and Diagnosis of Cervical Spondylosis
- AF-KAN: Activation Function-Based Kolmogorov-Arnold Networks for Efficient Representation Learning
- Multi-modal expressive personality recognition in data non-ideal audiovisual based on multi-scale feature enhancement and modal augment
- Feature Fusion Attention Network with CycleGAN for Image Dehazing, De-Snowing and De-Raining
- Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation
- Handwritten Digit Recognition: An Ensemble-Based Approach for Superior Performance
- High-Precision Dichotomous Image Segmentation via Depth Integrity-Prior and Fine-Grained Patch Strategy
- Attention-Based Synthetic Data Generation for Calibration-Enhanced Survival Analysis: A Case Study for Chronic Kidney Disease Using Electronic Health Records
- Clustering-based Meta Bayesian Optimization with Theoretical Guarantee
- ZO-DARTS++: An Efficient and Size-Variable Zeroth-Order Neural Architecture Search Algorithm
- Theta Theory: operads and coloring
- Fish2Mesh Transformer: 3D Human Mesh Recovery from Egocentric Vision
- Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective
- Exploring Interpretability for Visual Prompt Tuning with Cross-layer Concepts
- T-CBF: Traversability-based Control Barrier Function to Navigate Vertically Challenging Terrain
- Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature
- Biased Federated Learning under Wireless Heterogeneity
- An Empirical Study of Causal Relation Extraction Transfer: Design and Data
- Towards Conversational AI for Disease Management
- GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images
- TransParking: A Dual-Decoder Transformer Framework with Soft Localization for End-to-End Automatic Parking
- Multi-view Spectral Clustering on the Grassmannian Manifold With Hypergraph Representation
- STAR: A Foundation Model-driven Framework for Robust Task Planning and Failure Recovery in Robotic Systems
- Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification
- Fine-Grained Bias Detection in LLM: Enhancing detection mechanisms for nuanced biases
- DropletVideo: A Dataset and Approach to Explore Integral Spatio-Temporal Consistent Video Generation
- Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers
- Constructions are Revealed in Word Distributions
- Improving SAM for Camouflaged Object Detection via Dual Stream Adapters
- Randomized Quasi-Monte Carlo Features for Kernel Approximation
- A Label-Free High-Precision Residual Moveout Picking Method for Travel Time Tomography based on Deep Learning
- Towards Universal Text-driven CT Image Segmentation
- SmartBench: Is Your LLM Truly a Good Chinese Smartphone Assistant?
- Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation
- Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
- FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning
- Towards Ambiguity-Free Spatial Foundation Model: Rethinking and Decoupling Depth Ambiguity
- End-to-End HOI Reconstruction Transformer with Graph-based Encoding
- Intent-Aware Self-Correction for Mitigating Social Biases in Large Language Models
- Nearly Optimal Differentially Private ReLU Regression
- Analyzing the Role of Permutation Invariance in Linear Mode Connectivity
- Towards Improving Reward Design in RL: A Reward Alignment Metric for RL Practitioners
- SODAs: Sparse Optimization for the Discovery of Differential and Algebraic Equations
- Psycholinguistic Analyses in Software Engineering Text: A Systematic Literature Review
- GrInAdapt: Scaling Retinal Vessel Structural Map Segmentation Through Grounding, Integrating and Adapting Multi-device, Multi-site, and Multi-modal Fundus Domains
- HealthiVert-GAN: A Novel Framework of Pseudo-Healthy Vertebral Image Synthesis for Interpretable Compression Fracture Grading
- Bimodal Connection Attention Fusion for Speech Emotion Recognition