Papers
Sat 3 May 2025
122 papers
- Advancing AI Research Assistants with Expert-Involved LearningMultimodal LLMs / vision-language models → Medical vision-language models
- Adaptive Token Boundaries: Integrating Human Chunking Mechanisms into Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Beyond Recognition: Evaluating Visual Perspective Taking in Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Accelerating Large Language Model Reasoning via Speculative SearchLLM reasoning → Test-time compute and efficient thinking
- Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMsLLM safety and security → Jailbreaking
- Discrete Spatial Diffusion: Intensity-Preserving Diffusion ModelingDiffusion models → Diffusion foundations and sampling
- LookAlike: Consistent Distractor Generation in Math MCQsLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Rethinking Score Distilling Sampling for 3D Editing and GenerationDiffusion models → 3D, point cloud and scene generation
- DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic FusionWorld models → World models for autonomous driving +1
- Mitigating Group-Level Fairness Disparities in Federated Visual Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Analytic Energy-Guided Policy Optimization for Offline Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- Enhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational VideosMultimodal LLMs / vision-language models → Video understanding with MLLMs
- An LLM-Empowered Low-Resolution Vision System for On-Device Human Behavior UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- PosePilot: Steering Camera Pose for Generative World Models with Self-supervised DepthWorld models → World models for autonomous driving
- World Model-Based Learning for Long-Term Age of Information Minimization in Vehicular NetworksWorld models → World models for autonomous driving +1
- RoBridge: A Hierarchical Architecture Bridging Cognition and Execution for General Robotic ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Inducing Robustness in a 2 Dimensional Direct Preference Optimization ParadigmLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Topology-Aware CLIP Few-Shot LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report ClassifiersKnowledge distillation → Distillation for medical imaging
- RAGAR: Retrieval Augmented Personalized Image Generation Guided by RecommendationRetrieval-augmented generation → Multimodal RAG
- Structured Prompting and Feedback-Guided Reasoning with LLMs for Data InterpretationLLM reasoning → Reasoning benchmarks and evaluation
- The Memory Paradox: Why Our Brains Need Knowledge in an Age of AI
- An Affective-Taxis Hypothesis for Alignment and Interpretability
- Detecting Musical Deepfakes
- Fair Clustering with Clusterlets
- ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability
- VideoLLM Benchmarks and Evaluation: A Survey
- Sentiment-Aware Recommendation Systems in E-Commerce: A Review from a Natural Language Processing Perspective
- MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation
- In-situ and Non-contact Etch Depth Prediction in Plasma Etching via Machine Learning (ANN & BNN) and Digital Image Colorimetry
- Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments
- Memory Assisted LLM for Personalized Recommendation System
- DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction
- RESAnything: Attribute Prompting for Arbitrary Referring Segmentation
- Understanding University Students' Use of Generative AI: The Roles of Demographics and Personality Traits
- Neural Orchestration for Multi-Agent Systems: A Deep Learning Framework for Optimal Agent Selection in Multi-Domain Task Environments
- Multi-Scale Graph Learning for Anti-Sparse Downscaling
- Runtime Anomaly Detection for Drones: An Integrated Rule-Mining and Unsupervised-Learning Approach
- Explainability by design: an experimental analysis of the legal coding process
- HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud Encoder
- Faster logconcave sampling from a cold start in high dimension
- GauS-SLAM: Dense RGB-D SLAM with Gaussian Surfels
- Unemployment Dynamics Forecasting with Machine Learning Regression Models
- OT-Talk: Animating 3D Talking Head with Optimal Transportation
- Semantic Intelligence: Integrating GPT-4 with A Planning in Low-Cost Robotics
- GenSync: A Generalized Talking Head Framework for Audio-driven Multi-Subject Lip-Sync using 3D Gaussian Splatting
- BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models
- From Players to Champions: A Generalizable Machine Learning Approach for Match Outcome Prediction with Insights from the FIFA World Cup
- CAMOUFLAGE: Exploiting Misinformation Detection Systems Through LLM-driven Adversarial Claim Transformation
- DiTOX: Fault Detection and Localization in the ONNX Optimizer
- Adversarial Robustness of Deep Learning Models for Inland Water Body Segmentation from SAR Images
- Automated Sentiment Classification and Topic Discovery in Large-Scale Social Media Streams
- CMAWRNet: Multiple Adverse Weather Removal via a Unified Quaternion Neural Architecture
- PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications
- Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network
- Humans can learn to detect AI-generated texts, or at least learn when they can't
- Towards Trustworthy Federated Learning with Untrusted Participants
- Visual enhancement and 3D representation for underwater scenes: a review
- Positional Attention for Efficient BERT-Based Named Entity Recognition
- PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework
- Bayesian learning of the optimal action-value function in a Markov decision process
- Intra-Layer Recurrence in Transformers for Language Modeling
- Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2
- MVHumanNet++: A Large-scale Dataset of Multi-view Daily Dressing Human Captures with Richer Annotations for 3D Human Digitization
- CVVNet: A Cross-Vertical-View Network for Gait Recognition
- Multi-Scale Target-Aware Representation Learning for Fundus Image Enhancement
- Rank-One Modified Value Iteration
- PhytoSynth: Leveraging Multi-modal Generative Models for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approach
- Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
- An LSTM-PINN Hybrid Method to the specific problem of population forecasting
- Rogue Cell: Adversarial Attack and Defense in Untrusted O-RAN Setup Exploiting the Traffic Steering xApp
- textitNew News: System-2 Fine-tuning for Robust Integration of New Knowledge
- Conformal Prediction for Indoor Positioning with Correctness Coverage Guarantees
- 3DWG: 3D Weakly Supervised Visual Grounding via Category and Instance-Level Alignment
- Surrogate to Poincar'e inequalities on manifolds for dimension reduction in nonlinear feature spaces
- Not Every Tree Is a Forest: Benchmarking Forest Types from Satellite Remote Sensing
- Efficient 3D Full-Body Motion Generation from Sparse Tracking Inputs with Temporal Windows
- Distinguishing AI-Generated and Human-Written Text Through Psycholinguistic Analysis
- AquaGS: Fast Underwater Scene Reconstruction with SfM-Free Gaussian Splatting
- A Multimodal Framework for Explainable Evaluation of Soft Skills in Educational Environments
- Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning
- TV-SurvCaus: Dynamic Representation Balancing for Causal Survival Analysis
- Online Conformal Anomaly Detection with Prediction-Powered Data Acquisition
- Enhancing Black-Litterman Portfolio via Hybrid Forecasting Model Combining Multivariate Decomposition and Noise Reduction
- Observation Compression in Rate-Limited Closed-Loop Distributed ISAC Systems: From Signal Reconstruction to Control
- Continuous Filtered Backprojection by Learnable Interpolation Network
- Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement
- Same evaluation, more tokens: On the effect of input length for machine translation evaluation using Large Language Models
- LensNet: An End-to-End Learning Framework for Empirical Point Spread Function Modeling and Lensless Imaging Reconstruction
- Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias
- A dynamic view of some anomalous phenomena in SGD
- Co3Gesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion
- Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients
- Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs
- CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification
- Learning Multi-frame and Monocular Prior for Estimating Geometry in Dynamic Scenes
- PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems
- Efficient Shapley Value-based Non-Uniform Pruning of Large Language Models
- PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation
- Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
All 122
- Vision and Intention Boost Large Language Model in Long-Term Action Anticipation
- Knowledge-Augmented Language Models Interpreting Structured Chest X-Ray Findings
- PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking
- Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
- Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking
- Automated ARAT Scoring Using Multimodal Video Analysis, Multi-View Fusion, and Hierarchical Bayesian Models: A Clinician Study
- Efficient Multi Subject Visual Reconstruction from fMRI Using Aligned Representations
- Adaptively Point-weighting Curriculum Learning
- Soft-Masked Semi-Dual Optimal Transport for Partial Domain Adaptation
- Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
- A Survey on Inference Engines for Large Language Models: Perspectives on Optimization and Efficiency
- WaveInst: A Frequency-Domain Enhanced Network for Fine-Grained Thin Tree Trunk Extraction in Forest Scenes
- T-REX: Vision-Based System for Autonomous Leaf Detection and Grasp Estimation
- Causally Fair Node Classification on Non-IID Graph Data
- Human-AI Governance (HAIG): A Trust-Utility Approach
- Toward Onboard AI-Enabled Solutions to Space Object Detection for Space Sustainability
- Scalable Speed-ups for the SMS-EMOA from a Simple Aging Strategy
- A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans
- Identifying Doppelganger Active Galactic Nuclei across redshifts from spectroscopic surveys
- Fast Likelihood-Free Parameter Estimation for L'evy Processes
- Seeing Heat with Color -- RGB-Only Wildfire Temperature Inference from SAM-Guided Multimodal Distillation using Radiometric Ground Truth
- Morello: Compiling Fast Neural Networks with Dynamic Programming and Spatial Compression