Papers
Sat 28 Jun 2025
151 papers
- RADIANT: Retrieval AugmenteD entIty-context AligNmenT -- Introducing RAG-ability and Entity-Context DivergenceRetrieval-augmented generation → RAG robustness and adaptive retrieval +1
- DriveMRP: Enhancing Vision-Language Models with Synthetic Motion Data for Motion Risk PredictionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Iterative Zoom-In: Temporal Interval Exploration for Long Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement LearningDeep reinforcement learning methods → Spiking and neuromorphic RL
- Parameter Stress Analysis in Reinforcement Learning: Applying Synaptic Filtering to Policy NetworksDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Machine Assistant with Reliable Knowledge: Enhancing Student Learning via RAG-based RetrievalRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision MakingEnd-to-end autonomous driving → Reinforcement learning for driving +1
- MusiXQA: Advancing Visual Music Understanding in Multimodal Large Language ModelsLLM reasoning → Audio-language model reasoning +1
- A Reinforcement Learning Approach for Optimal Control in MicrogridsDeep reinforcement learning methods → RL for energy, networks and operations
- MARBLE: A Hard Benchmark for Multimodal Spatial Reasoning and PlanningLLM reasoning → Spatial and embodied reasoning
- Revisiting CroPA: A Reproducibility Study and Enhancements for Cross-Prompt Adversarial Transferability in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Agent-to-Agent Theory of Mind: Testing Interlocutor Awareness among Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Infinite Sampling: Efficient and Stable Grouped RL Training for Large Language ModelsLLM reasoning → Reinforcement learning for reasoning
- GamerAstra: Supporting 2D Non-Twitch Video Games for Blind and Low-Vision Players through a Multi-Agent FrameworkLLM agents and tool use → Reinforcement learning for LLM agents
- Improving Rationality in the Reasoning Process of Language Models through Self-playing GameLLM reasoning → Reasoning for agents, planning and code +1
- Hecto: Modular Sparse Experts for Adaptive and Interpretable ReasoningMixture-of-experts → MoE large language models
- Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle ExampleDeep reinforcement learning methods → RL for autonomous driving and traffic
- Agentic Enterprise: AI-Centric User to User-Centric AILLM agents and tool use → Software engineering coding agents
- CA-Diff: Collaborative Anatomy Diffusion for Brain Tissue SegmentationDiffusion models → Medical imaging and segmentation
- Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and GrounderLLM reasoning → Multimodal reasoning
- ReasonBridge: Efficient Reasoning Transfer from Closed to Open-Source Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party DialoguesLLM agents and tool use → Tool learning and function calling
- Knowledge Augmented Finetuning Matters in both RAG and Agent Based Dialog SystemsLLM agents and tool use → Web, search, and research agents
- Deep neural networks can provably solve Bellman equations for Markov decision processes without the curse of dimensionalityDeep reinforcement learning methods → RL theory and sample complexity
- Listener-Rewarded Thinking in VLMs for Image PreferencesLLM reasoning → Multimodal reasoning +2
- Prompting without Panic: Attribute-aware, Zero-shot, Test-Time CalibrationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Memory as a Service (MaaS): Purpose-Bound Memory Mediation for Cooperative AgentsLLM agents and tool use → Agent memory systems
- Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention GateDiffusion models → Robustness, privacy and adversarial aspects
- RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- Offline Reinforcement Learning for Mobility Robustness OptimizationOffline RL and imitation learning from data → Offline multi-agent RL
- Multimodal Atmospheric Super-Resolution With Deep Generative ModelsDiffusion models → Diffusion foundations and sampling
- Teaching Models to Verbalize Reward Hacking in Chain-of-Thought ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- VSRM: A Robust Mamba-Based Framework for Video Super-ResolutionState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Enhancing Android Malware Detection with Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- RAILS: Retrieval-Augmented Intelligence for Learning Software DevelopmentRetrieval-augmented generation → RAG for code
- FairMarket-RL: LLM-Guided Fairness Shaping for Multi-Agent Reinforcement Learning in Peer-to-Peer MarketsLLM agents and tool use → Financial trading and forecasting agents
- P4OMP: Retrieval-Augmented Prompting for OpenMP Parallelism in Serial CodeRetrieval-augmented generation → RAG for code
- VOCABTRIM: Vocabulary Pruning for Efficient Speculative Decoding in LLMsEfficient LLM inference and serving → Speculative decoding
- Disaster Informatics after the COVID-19 Pandemic: Bibliometric and Topic Analysis based on Large-scale Academic Literature
- A parametric activation function based on Wendland RBF
- Distinct Profiles of Run-to-Run Score Reliability and Expert-Panel Alignment Across Four LLM Evaluators of Simulated Japanese-Language AI-to-AI Counseling
- The Application of Large Language Models on Major Depressive Disorder Support Based on African Natural Products
- Beyond Parallelism: Synergistic Computational Graph Effects in Multi-Head Attention
- Predicting and Explaining Customer Data Sharing in the Open Banking
- A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval
- Loop2Net: Data-Driven Generation and Optimization of Airfoil CFD Meshes from Sparse Boundary Coordinates
- Evaluating Pavement Deterioration Rates Due to Flooding Events Using Explainable AI
- Prompt Mechanisms in Medical Imaging: A Comprehensive Survey
- An efficient plant disease detection using transfer learning approach
- MANTA: Cross-Modal Semantic Alignment and Information-Theoretic Optimization for Long-form Multimodal Understanding
- InSight-R: A Framework for Risk-informed Human Failure Event Identification and Interface-Induced Risk Assessment Driven by AutoGraph
- Inpainting is All You Need: A Diffusion-based Augmentation Method for Semi-supervised Medical Image Segmentation
- What Must a Fairness Audit Report When Demographic Data Is Incomplete?
- VisionScores -- A system-segmented image score dataset for deep learning tasks
- Spectra 1.1: Scaling Laws and Efficient Inference for Ternary Language Models
- BWLer: Barycentric Weight Layer Elucidates a Precision-Conditioning Tradeoff for PINNs
- Deep Learning in Mild Cognitive Impairment Diagnosis using Eye Movements and Image Content in Visual Memory Tasks
- Generating Privacy Stories From Software Documentation
- On Universality of Non-Separable Approximate Message Passing Algorithms
- A Novel Frame Identification and Synchronization Technique for Smartphone Visible Light Communication Systems Based on Convolutional Neural Networks
- Kernel Outlier Detection
- Cybersecurity-Focused Anomaly Detection in Connected Autonomous Vehicles Using Machine Learning
- A Systematic Study of Compositional Syntactic Transformer Language Models
- On the Generalizability of "Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals"
- Confident Splatting: Confidence-Based Compression of 3D Gaussian Splatting via Learnable Beta Distributions
- Hierarchical Decentralized Stochastic Control for Cyber-Physical Systems
- Against 'softmaxing' culture
- ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence Alignment
- CN-SBM: Categorical Block Modelling For Primary and Residual Copy Number Variation
- Peccavi: Visual Paraphrase Attack Safe and Distortion Free Image Watermarking Technique for AI-Generated Images
- YM-WML: A new Yolo-based segmentation Model with Weighted Multi-class Loss for medical imaging
- Hierarchical Characterization of Brain Dynamics via State Space-based Vector Quantization
- A Study on Semi-Supervised Detection of DDoS Attacks under Class Imbalance
- Positioning AI Tools to Support Online Harm Reduction Practice: Applications and Design Directions
- Utilizing a Novel Deep Learning Method for Scene Categorization in Remote Sensing Data
- Efficient Cybersecurity Assessment Using SVM and Fuzzy Evidential Reasoning for Resilient Infrastructure
- Differentiable Radar Ambiguity Functions: Mathematical Formulation and Computational Implementation
- Towards Explainable Bilingual Multimodal Misinformation Detection and Localization
- Mathematical Computation on High-dimensional Data via Array Programming and Parallel Acceleration
- Towards Time Series Generation Conditioned on Unstructured Natural Language
- Learning Truthful Mechanisms without Discretization
- Attention to the Burstiness in Visual Prompt Tuning!
- MagShield: Towards Better Robustness in Sparse Inertial Motion Capture Under Magnetic Disturbances
- Point Cloud Compression and Objective Quality Assessment: A Survey
- Missing-Modality-Aware Graph Neural Network for Cancer Classification
- MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering
- Neural Cellular Automata: From Cells to Pixels
- Interpretable Time Series Autoregression for Periodicity Quantification
- CP-uniGuard: A Unified, Probability-Agnostic, and Adaptive Framework for Malicious Agent Detection and Defense in Multi-Agent Embodied Perception Systems
- Performance Measurements in the AI-Centric Computing Continuum Systems
- CLIP-like Model as a Foundational Density Ratio Estimator
- P2U: Progressive Precision Update For Efficient Model Distribution
- STR-Match: Matching SpatioTemporal Relevance Score for Training-Free Video Editing
- Region-Aware CAM: High-Resolution Weakly-Supervised Defect Segmentation via Salient Region Perception
- Mask-aware Text-to-Image Retrieval: Referring Expression Segmentation Meets Cross-modal Retrieval
- Robust Spectral Fuzzy Clustering of Multivariate Time Series with Applications to Electroencephalogram
- Mind the Gap: Entity-Preserved Context-Aware ASR Structured Transcriptions
- DMD-Net: Deep Mesh Denoising Network
- Scalable Structure Learning of Bayesian Networks by Learning Algorithm Ensembles
All 151
- Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization
- Quantum Neural Networks for Wind Energy Forecasting: A Comparative Study of Performance and Scalability with Classical Models
- AG-VPReID 2025: Aerial-Ground Video-based Person Re-identification Challenge Results
- xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection
- FOCUS: Fine-grained Optimization with Semantic Guided Understanding for Pedestrian Attributes Recognition
- SemFaceEdit: Semantic Face Editing on Generative Radiance Manifolds
- Denoising Multi-Color QR Codes and Stiefel-Valued Data by Relaxed Regularizations
- Deep learning four decades of human migration
- TriADA: Massively Parallel Trilinear Matrix-by-Tensor Multiply-Add Algorithm and Device Architecture for the Acceleration of 3D Discrete Transformations
- Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding
- Efficient Multi-Crop Saliency Partitioning for Automatic Image Cropping
- Selecting and Merging: Towards Adaptable and Scalable Named Entity Recognition with Large Language Models
- Learning Adapter Rank via Symmetry Breaking
- MedEthicsQA: A Comprehensive Question Answering Benchmark for Medical Ethics Evaluation of LLMs
- FreqDGT: Frequency-Adaptive Dynamic Graph Networks with Transformer for Cross-subject EEG Emotion Recognition
- Intervening in Black Box: Concept Bottleneck Model for Enhancing Human Neural Network Mutual Understanding
- Riemannian-Geometric Fingerprints of Generative Models
- VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding
- ContextCache: Context-Aware Semantic Cache for Multi-Turn Queries in Large Language Models
- ICME 2025 Generalizable HDR and SDR Video Quality Measurement Grand Challenge
- WavShape: Information-Theoretic Speech Representation Learning for Fair and Privacy-Aware Audio Processing
- Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching
- PhonemeFake: Redefining Deepfake Realism with Language-Driven Segmental Manipulation and Adaptive Bilevel Detection
- Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation
- Bridging Ethical Principles and Algorithmic Methods: An Alternative Approach for Assessing Trustworthiness in AI Systems
- Not All Water Consumption Is Equal: A Water Stress Weighted Metric for Sustainable Computing
- FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision
- Can We Reliably Predict the Fed's Next Move? A Multi-Modal Approach to U.S. Monetary Policy Forecasting
- Jan-nano Technical Report
- RoboPearls: Editable Video Simulation for Robot Manipulation
- Doubly robust estimation of causal effects for random object outcomes with continuous treatments
- Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography
- Deep Learning based Joint Geometry and Attribute Up-sampling for Large-Scale Colored Point Clouds
- Explanations are a Means to an End: Decision Theoretic Explanation Evaluation
- UniFuse: A Unified All-in-One Framework for Multi-Modal Medical Image Fusion Under Diverse Degradations and Misalignments
- Robust Tensor Completion via Gradient Tensor Nulclear L1-L2 Norm for Traffic Data Recovery
- Persistence Paradox in Dynamic Science: Evidence from the Deep Learning Revolution
- XTransfer: Modality-Agnostic Few-Shot Model Transfer for Human Sensing at the Edge
- The Translation Barrier Hypothesis: Multilingual Generation with Large Language Models Suffers from Implicit Translation Failure
- Kill Two Birds with One Stone! Trajectory enabled Unified Online Detection of Adversarial Examples and Backdoor Attacks
- Deterministic Object Pose Confidence Region Estimation
- Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians
- BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
- Libra: Unleashing GPU Heterogeneity for High-Performance Sparse Matrix Multiplication
- Generalized Linear Mode Connectivity for Transformers
- LightBSR: Towards Lightweight Blind Super-Resolution via Discriminative Implicit Degradation Representation Learning
- General Autonomous Cybersecurity Defense: Learning Robust Policies for Dynamic Topologies and Diverse Attackers
- Beyond Code: The Multidimensional Impacts of Large Language Models in Software Development
- Lower bounds for trace estimation via Block Krylov and other methods
- Text Production and Comprehension by Human and Artificial Intelligence: Interdisciplinary Workshop Report
- Residual Matrix Transformers: Scaling the Size of the Residual Stream